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April 17, 2026

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Based on โ€œHow your brain builds and edits your identityโ€ from Big Think Watch the original video

The Ultimate Edit: Rewiring Your Brain to Sculpt Your Identity

What if everything you perceive โ€“ from the vibrant colours around you to your deepest sense of self โ€“ is, in a profound way, an illusion? Not a trick of the light, but a masterful construction of your own brain? This isnโ€™t a concept meant to disorient, but to empower. Because if your reality and identity are constructs, then the incredible news is: you possess the power to edit, refine, and even completely transform them.

Our perception, and indeed our very sense of self, isnโ€™t a passive reception of objective reality. Itโ€™s a dynamic, ongoing creation by our brain, a bespoke experience tailored just for us. This understanding opens up a world of opportunity, granting us a surprising degree of control over how our brain interprets and responds to the world.

The Brainโ€™s Masterpiece: How Perception Takes Shape

Think of your perceptions as a unique blend, a cocktail shaken by your brain. One ingredient is purely internal: your expectations, born from a lifetime of past experiences and memories. The other is external: the raw sensory data flooding into your brain from the world around you. When these two elements meet, they donโ€™t just coexist; they fuse, creating the perception that becomes your lived reality. This means your internal landscape is constantly shaping what you โ€œseeโ€ and โ€œfeelโ€ externally.

The Echo Chamber Within: Your Inner Voice

Central to this intricate process is your inner voice โ€“ that silent stream of language that allows you to reflect, plan, and make sense of your life. Far from a mere mental monologue, this inner dialogue provides an immense survival advantage. Itโ€™s an incredible problem-solving device, enabling us to simulate scenarios, plan our actions, and exert self-control. Crucially, it helps us โ€œstorifyโ€ our lives, weaving our experiences into a coherent narrative that gives shape to our understanding of who we are โ€“ our identity.

This inner voice is part of what neuroscientists call our โ€œverbal working memory system.โ€ Itโ€™s the engine behind our ability to change our trajectory, challenge our thoughts, and expand the perceived boundaries of our existence. We can, quite literally, expand our perception of who we are in the world.

When the Inner Voice Goes Rogue: The Curse of โ€œChatterโ€

However, even the most powerful tools have a potential downside. The inner voice, for all its benefits, has a dark twin: โ€œchatter.โ€ This occurs when we turn our attention inward to solve problems but instead find ourselves trapped in a destructive cycle of rumination, worry, and catastrophizing. Instead of solutions, we get stuck, turning this remarkable cognitive instrument into a curse rather than a blessing. We replay negative events, anticipate worst-case scenarios, and amplify our anxieties, all within the confines of our own minds.

The Evolving Architecture of Your Mind

Our minds are not static entities; they are constantly being shaped by our prior experiences. As we navigate life, our neurons form connections, and a fascinating โ€œpruning processโ€ occurs. The brain strengthens the neural pathways that are frequently used and important, while allowing less important or unused connections to wither away. This continuous refinement leads to the development of a more defined and efficient mental structure.

This dynamic interplay between conscious and unconscious processing profoundly informs our behavior. What we are consciously aware of at any moment directly affects what we perceive and remember. Consider this: if youโ€™re in a negative headspace, your brain will be primed to perceive more negative things in your environment. Conversely, a positive mindset will highlight positive aspects, even if the external environment remains exactly the same. This highlights the profound impact of our internal state on our external experience.

Mindfulness: Taking the Steering Wheel

This is where mindfulness enters the picture. Being mindful is your brain actively controlling what youโ€™re attending to, what information youโ€™re taking in, and how youโ€™re reacting to the world. Itโ€™s about consciously directing your focus and breaking free from autopilot.

Understanding that we all live within a unique โ€œperceptual boxโ€ โ€“ a framework shaped by our individual experiences and brain architecture โ€“ can also be a powerful catalyst for empathy. Recognizing that others inhabit their own distinct perceptual realities can foster greater understanding and compassion.

Breaking Free from Fixed Narratives

The stories we tell ourselves about ourselves are deeply influenced by our environment and upbringing. We acquire โ€œobservational knowledgeโ€ by watching those around us during our formative years. We learn how the world works, how to behave, and even how to perceive ourselves. But this observational knowledge has a crucial flip side. If we observe parents or peers being highly critical of themselves, we can inadvertently internalize and learn that same self-criticism. Similarly, if a particular narrative about us is constantly reinforced by those around us, it can box us into a โ€œfixed mindsetโ€ in adulthood, making us hesitant to step outside what has been defined for us.

Adding to this challenge is our inherent โ€œnegativity bias.โ€ As humans, we tend to perceive negative information more strongly and remember it more vividly than positive information. This bias can significantly amplify those negative self-stories and criticisms we carry. If left unchecked, this negativity can form a deeply ingrained template for how we see the world, influencing every aspect of our lives until our brain perceives it as the โ€œnormalโ€ way of being.

The Power to Rewire and Reshape

But hereโ€™s the truly empowering message: nothing is set in stone. We are all a work in progress until our very last breath, and there is always room for change.

Whilst our thoughts are incredibly powerful, we can consciously harness that power to our advantage. By intentionally pulling out and focusing on positive narratives, we can begin to shine a light on different outcomes โ€“ outcomes we might not have previously considered or perpetuated. The brain, left to its own devices, will simply optimize energy by repeating ingrained patterns. It will continue doing what it knows best.

The crucial step is to bring conscious attention to these automatic patterns. Itโ€™s only then that we can take control of the steering wheel. We can declare, โ€œHey, this is how things have usually been. This is the box I put myself in, or that my parents put me in, but I want to change that.โ€ This conscious act initiates a process of rewiring and reshaping our perception box, altering how we see ourselves and even how we believe others interpret us.

A Toolkit for Transformation

The good news is that thereโ€™s a growing body of science-based tools to help us regain control of our inner voice and our self-narratives. Rituals are one powerful example. Engaging in the same sequence of behaviors, in the same way, every time, can provide a profound sense of order and control. This can be incredibly grounding and beneficial, especially when mired in the chaotic grip of โ€œchatter.โ€

The real challenge, however, lies in discovering the unique combination of tools that works best for you, tailored to the specific kinds of chatter or negative patterns you experience. It requires self-awareness, experimentation, and persistence.

In a world where so much feels beyond our control, the understanding that our identity and perception are dynamic brain constructs offers profound liberation. It reminds us that we are not merely passengers in our own lives, but active architects, with the power to edit, revise, and ultimately, sculpt a reality and an identity that truly serves us. The ultimate edit is always within reach.


Based on โ€œAI Is Killing the Career Ladder. A Stanford Economist Explains What Comes Next | Bharat Chandarโ€ from EO Watch the original video

From Ladder to Lattice: Navigating AIโ€™s Redrawing of the Career Map

The traditional career ladderโ€”a steady ascent through a single professionโ€”is increasingly becoming a relic of the past, challenged by the accelerating capabilities of artificial intelligence. While AIโ€™s long-term impact on the labor market remains a subject of intense debate, early data suggests a profound shift is already underway, particularly for young workers. According to Bharat Chandar, an economist at the Stanford Digital Economy Lab, we are moving towards a โ€œcareer lattice,โ€ a more flexible and adaptable model that could redefine professional growth and resilience in the age of AI.

Chandar, whose research focuses on how AI is transforming work, describes the past year and a half as a period where AIโ€™s impact on the labor market has emerged as โ€œone of the most important questions in labor economics today.โ€ His initial skepticism gave way to a focused research agenda once he began to truly grasp the toolsโ€™ capabilities.

The Canaries in the Coal Mine: AIโ€™s Disproportionate Impact on Young Workers

In a recent study conducted with collaborators Eric Bolson and Ryu Chen, Chandar tracked millions of U.S. workers using data from payroll company ADP. The research aimed to identify how jobs were changing in sectors with higher AI exposure versus those with less. The overall finding was surprising: no major differences in employment changes were observed across the board. However, a deeper dive revealed a significant divergence when focusing on young workers.

โ€œThe jobs that are more exposed to AI, the young workers in those jobs are seeing 16% slower employment growth,โ€ Chandar states, highlighting a substantial slowdown for those just starting out. Roles in software development, customer service, and administrative positions, which are highly susceptible to AI integration, are experiencing employment declines for this demographic. In contrast, jobs less exposed to AI continue to see growth, and more experienced workers across the board are largely maintaining their employment trends.

This specific impact on young workers led Chandar and his team to title their study โ€œCanaries in the Coal Mine.โ€ The analogy suggests that these early trends among new entrants to the workforce could be โ€œindicative of potentially future transformative impacts of AI.โ€ While acknowledging the difficulty of definitively separating AIโ€™s influence from other economic factors, the researchers rigorously tested alternative explanations. They found that interest rate changes (which disproportionately affect sectors like transportation and construction, less exposed to AI) and tech over-hiring (even when the tech sector was excluded) did not account for the observed patterns. This bolsters the argument that the changes are structural, driven by AIโ€™s evolving capabilities, rather than temporary economic fluctuations.

Why Young Workers Are More Vulnerable

The distinct vulnerability of young workers to AIโ€™s influence can be attributed to the nature of their early career tasks. When entering the workforce, much of what young professionals do involves โ€œimplementation, doing things that rely on the book knowledge that they learned while they were at school.โ€ These are often rule-based, data-driven tasks that overlap significantly with current AI capabilities.

Conversely, more experienced workers possess โ€œtacit knowledgeโ€โ€”skills acquired through years of on-the-job experience, often involving hyper-local context, nuanced social interaction, and strategic thinking. These are competencies that are not easily codified in a textbook and are, for now, much harder for AI to replicate. โ€œFor young workers, itโ€™s more directly overlapping with the AI capabilities,โ€ Chandar explains, suggesting that experienced professionals have a relative advantage over both AI and their younger counterparts in these less automatable domains.

This dynamic presents a dilemma for firms. While companies have an incentive to hire and train young talent to cultivate future managers and experienced staff, that incentive is often curtailed by the risk of those trained employees leaving for competitors. This creates a โ€œmismatch between what is the incentive of the individual private company versus what is the incentive of society as a whole,โ€ potentially leading to an under-investment in the very training that could equip the next generation for an AI-powered economy.

The Future of Work: Strategic Thinking, Social Interaction, and the Career Lattice

Despite the immediate challenges, Chandar offers an optimistic vision for the future, particularly if AIโ€™s educational capabilities are fully unlocked. He envisions a world where AI acts as a powerful learning tool, significantly speeding up the process of acquiring new skills and making it โ€œmuch easier to switch between different professions based on how demand for those jobs is evolving over time.โ€ This adaptability is the cornerstone of the โ€œcareer latticeโ€โ€”a flexible network of interconnected roles and industries, offering multiple pathways for growth and transition, a stark contrast to the rigid, linear career ladder.

For this future to materialize, however, requires significant shifts in our educational systems, from universities down, to leverage AI for faster and better learning.

Chandar identifies three areas where AI is likely to remain less capable in the short to medium term:

  1. Physical tasks: Unless there are major advancements in robotics.
  2. Strategic thinking: Guiding what needs to be done.
  3. Social interaction: Complex human engagement.

Among these, strategic thinking is highlighted as increasingly crucial. โ€œA lot of work might look like guiding AI agents to do implementation while youโ€™re telling them and guiding them on what needs to be done,โ€ he predicts. This managerial, strategic guidanceโ€”the ability to articulate goals, express preferences, and direct AIโ€™s implementationโ€”will become a โ€œpretty key skill.โ€

For young workers, the path forward involves actively engaging with AI tools. โ€œBuilding and using the tools as much as possible and getting used to to that sort of mode of work,โ€ Chandar advises, is essential for adjusting to these technological changes and labor market disruptions.

Historical Echoes and AIโ€™s Unique Pace

To understand AIโ€™s trajectory, Chandar draws comparisons to past technological revolutions, noting both similarities and crucial differences.

The Industrial Revolution, for example, saw โ€œthe most skilled workers who faced more risk.โ€ The Luddites, skilled textile workers, found their livelihoods threatened by new machineryโ€”a parallel to todayโ€™s knowledge workers in educated roles facing greater AI exposure.

In contrast, the Electricity and IT Revolutions of the 20th century primarily impacted โ€œmiddle skill or low-skilled work,โ€ while the โ€œmost skilled, the highest educated people benefited a lot more.โ€ The question remains whether AI will follow the Luddite-era pattern or the IT revolutionโ€™s trajectory.

However, AI introduces a unique factor: the rate of capabilities improvement. โ€œEven today itโ€™s much more capable of doing different tasks than it was 3 years ago,โ€ Chandar observes. This rapid evolution raises a critical question: as new work is created, will it be performed by humans, or will AIโ€™s capabilities advance quickly enough to claim those roles too? This unprecedented pace is what could set AI apart from prior technologies.

Augmentation Over Automation: The Power of AI as a Learning Tool

A central theme in AI discussions is the distinction between augmentation (making workers better) and automation (substituting workers). Chandar firmly believes in leveraging AI for augmentation, particularly as a tool for learning.

He offers the example of a startup founder with a lean team, now able to accomplish a wider array of tasksโ€”from marketing to legal researchโ€”thanks to AI tools. This โ€œincrease in the scope of tasks that you can doโ€ is the essence of augmentation. Conversely, automation โ€œtake[s] away some of the tasks that workers have to do and now they have to do fewer things.โ€

โ€œOne of the best ways that we know historically for doing that [augmenting workers] is by educating them,โ€ Chandar asserts. He sees a monumental opportunity with AI for โ€œone of the biggest changes in learning capabilities that weโ€™ve had in 100 years if not longer,โ€ through personalized learning.

Chandar himself uses AI for mathematical modeling and proving concepts, finding it excellent for โ€œchecking if something is correct than it is to necessarily write it from scratch.โ€ Yet, he deliberately avoids using AI for writing, explaining, โ€œwriting helps me think and it helps me understand a problem really well when I do it myself.โ€ This personal choice underscores a broader principle: the decision of what to delegate to AI and what to preserve as human depends on individual values, preferences, and the intrinsic human need for reflection and understanding.

AI, Inequality, and the Human Imperative

AIโ€™s potential impact on income inequality is complex and multifaceted. Chandar posits a fascinating trade-off: if AI significantly lowers the barriers to achieving high-quality output in a field, โ€œinequality is much lower in the labor marketโ€ because the gap between highly knowledgeable individuals and those who donโ€™t exert as much effort could shrink.

On the other hand, if AI amplifies the value of strategic thinking and social skills, it could increase the benefits of rigorous education aimed at developing these uniquely human competencies, potentially widening the inequality gap for those who excel in these areas.

Ultimately, the human role in the AI era will involve defining โ€œwhat it is that we want to build? What would make us better off? What would make us happier?โ€ These questions, rooted in values and preferences, require human reflection and strategic guidance that AI, at least in the short to medium term, cannot replicate. โ€œThat guidance about what it is that we should build, what it is that we should implement, that I view as at least in the short to medium term being more characteristically human than AI,โ€ Chandar concludes.

For young people, the advice is clear: embrace AI tools, build with them, and critically focus on developing strategic thinking. Platforms like Khan Academy are already experimenting with AI to foster critical thinking rather than simply providing answers, guiding students through the process of problem-solving.

The shift from a rigid career ladder to a dynamic career lattice powered by adaptive learning represents a profound transformation. It promises a future where individuals can more readily transition between professions, unlocking vast human potential. As Bharat Chandar envisions, this adaptability, combined with a renewed focus on uniquely human strategic and social skills, will be key to thriving in an AI-driven world. The challenge, and the opportunity, lies in harnessing AI not to replace human ingenuity, but to amplify it, preserving the wonder and creative potential that resides in us all.


Based on โ€œWhy Claude Feels Different (And What That Means for AI) | The a16z Showโ€ from a16z Watch the original video

Beyond the Chatbot: Unpacking AIโ€™s Soul, Speed, and Societal Impact

The digital age has always been a whirlwind, but lately, it feels like someone hit the โ€œ100x speedโ€ button. Information, trends, and technological breakthroughs flash by at an dizzying pace, leaving many to wonder: where are we, as people, amidst this acceleration? This profound question lies at the heart of the latest AI revolution, particularly as models like Claude begin to exhibit something akin to personality.

In a recent conversation on the a16z Show, a prominent culture commentator and technologist, Signal, delved into the exhilarating, perplexing, and sometimes unsettling implications of this new era. His unique perspective, weaving together insights from computer science, culture, and human experience, offers a compelling roadmap for understanding AIโ€™s burgeoning โ€œsoulโ€ and its potential to reshape society.

The Unsettling Rise of AI Personality

โ€œDeveloping personality. Thatโ€™s insane,โ€ Signal remarks, reflecting on the rapid advancements. For decades, computers were tools, logical and predictable. Now, weโ€™re building models that can engage in nuanced conversation, express empathy, and even display distinct โ€˜voices.โ€™ This shift represents a fundamentally harder technological cycle because, as Signal puts it, โ€œyouโ€™re probably going into a different part of how the human mind operates.โ€

This is where models like Claude stand out. While other AI models might feel โ€œrobotic, a little bit more utilitarian,โ€ Claude, according to Signal, โ€œfeels artisan. It feels like itโ€™s got a soul.โ€ He recounts a fascinating anecdote: his sister, a doctor, spontaneously canceled her ChatGPT subscription to switch to Claude, drawn by its distinct, more human-like interaction. This isnโ€™t just about superior performance; itโ€™s about an aesthetic, a storytelling, a sense of crafted premium that resonates deeply with users.

Signal draws a poignant parallel to a classic Simpsons episode where Bart sells his soul. The episode explores the profound human experience of feeling the absence of a soul. Similarly, Claude, with its โ€œless syphyโ€ and more humanized feel, makes users feel like theyโ€™re โ€œtalking to a real human being.โ€ Itโ€™s a testament to the idea that AI is no longer just a โ€œdelivery vehicleโ€ for information, but increasingly, โ€œthe actual thing in the payload,โ€ designing the โ€œupper echelon of how a human personality works and how intelligence works.โ€

The Accelerated Life and AI as a Mirror

The feeling of accelerated change isnโ€™t just a perception; itโ€™s a reality. โ€œIf I talk to somebody that something happened last month, it feels like it happened like 10 years ago,โ€ Signal observes. This exponential pace, fueled by technology, begs the question: are we, as a species, keeping up? Are we โ€œmore spiritually mature, less spiritually mature than we were 50 years agoโ€ฆ or are we just basically, you know, Neanderthals with iPhones?โ€

Signal believes technology, when leveraged correctly, โ€œshould help us understand ourselves in a better way.โ€ He personally uses AI for introspection, asking it, โ€œAm I missing something? Does this make sense?โ€ This self-reflective use of AI, he argues, facilitates intellectual, spiritual, and personal growth. It helps us โ€œexperience ourselves much better,โ€ which, for a species of tool-builders, might be our greatest achievement yet.

However, despite AIโ€™s profound potential, we are still in its โ€œstone ages.โ€ Most people, even the billion already using AI, are only scratching the surface, utilizing it for โ€œvery very very basic tasks.โ€ The biggest challenge, even for industry leaders like OpenAI, remains making the power of these models โ€œmore easily accessible and useful.โ€

The future of AI interaction might not be through a chatbot. Signal envisions โ€œambient AIโ€โ€”an ethereal entity woven seamlessly into daily life, anticipating needs, surfacing relevant information, and integrating into our homes and workplaces without requiring explicit prompts. Think of Google Now, but with context and true intelligence, predicting not just your next search, but your next need.

Fixing AIโ€™s Public Image: The Challenge of Abundance

Despite the awe-inspiring capabilities, AI faces a significant public relations problem. Studies show AI is โ€œvery unpopularโ€ in the US, even less so than ICE. Its Net Promoter Score (NPS) is alarmingly low. This fear-driven narrative, Signal contends, stems from a scarcity mindset, where people perceive the world as a zero-sum game, fighting for finite resources.

Signal proposes a radical solution to shift public perception: โ€œThe number one way you change the NPS of AI is you make important things cheap quickly.โ€ He points to the famous chart illustrating how flat-screen TVs have become almost free, while healthcare, education, and housing have become astronomically expensive. AI, he argues, can tackle the first two head-on.

Education: Imagine restoring student-administrator ratios to what they were a decade ago and making professors โ€œmodestly more productiveโ€ with AI. Education costs could deflate year-over-year. The explosion of administrators, not teachers, is an โ€œinsaneโ€ and often โ€œunder discussedโ€ problem that AI can help solve.

Healthcare: A staggering 45% of healthcare costs stem from administration. From revenue cycle management to back-office tasks and routine patient communication, AI models are already being deployed by healthcare companies to streamline these processes. By eliminating administrative overhead, AI has the potential to make healthcare cheaper annually.

This isnโ€™t just about minor cost reductions; itโ€™s about creating a world of โ€œhighly abundant elements of everything that humans might actually need.โ€ While housing remains a โ€œcollective action problemโ€โ€”we could build skyscrapers in Marin tomorrow if we collectively decided toโ€”healthcare and education are largely โ€œintelligence-boundโ€ problems that AI can solve.

Signal even muses on the idea of subsidizing AI, or having model companies โ€œgive it away for free to these industries.โ€ He laments the โ€œown goalsโ€ of regulation, citing New York Stateโ€™s proposed ban on AI giving health or financial advice, which disproportionately harms those without access to traditional lawyers and doctors. Historically, such protectionist measures, like Massachusetts making it illegal to buy Apple stock in the early 80s, have proven to be โ€œa fundamental underestimation of the average consumer.โ€ Given the tools, people are โ€œpretty smart, pretty savvyโ€ฆ theyโ€™ll use those tools to make their lives better.โ€

The Ownership Dilemma: Democratizing AIโ€™s Future

Beyond access, Signal raises a provocative question: โ€œThe fact that we donโ€™t allow normal people to have equity share or stakes in OpenAI and Claudeโ€ฆ imagine if normal people were like, โ€˜I own a piece of these things.โ€™ Maybe that would feel much better and they would have this ownership mentality.โ€

The current concentration of wealth and power in Silicon Valley, with companies staying private longer, fuels a perception that โ€œtech individuals are hoarding or concentrating resources.โ€ This creates a โ€œweird dynamicโ€ where many feel theyโ€™re โ€œgoing to get left behindโ€ while a select few become โ€œenormously wealthy.โ€ Democratizing ownershipโ€”even if itโ€™s a โ€œdumb ideaโ€ to someโ€”could foster a sense of collective stake in AIโ€™s future, turning fear into shared purpose. โ€œWhat if their kids did? What if you rolled it into the trust accountsโ€ฆ they have a stake in the future. Quite literally.โ€

Building in the AI Age: Follow Your Soul, Not Just the Tech

For aspiring technologists and founders grappling with what to build in this rapidly evolving landscape, Signal offers timeless advice: โ€œScrew AI. I donโ€™t care about like what do you what what what area are you interested in? What what thing what thing drives you?โ€

He cautions against simply finding an idea through AI, rather than genuinely being passionate about the problem. Building a company is a long, arduous journey, and without intrinsic motivation, itโ€™s easy to burn out. โ€œIf youโ€™re not having a lot of fun doing stuff, you probably shouldnโ€™t work on it.โ€ He references the Bhagwat Gita: โ€œYouโ€™re not entitled to the fruits of your labor,โ€ emphasizing the process and enjoyment over predetermined outcomes.

Ultimately, the โ€œreal prompt is in your brain.โ€ Itโ€™s the spark of your existence, your inner self, that drives creation. Much like legendary producer Rick Rubin, who was โ€œahead of the curveโ€ because he โ€œfelt itโ€ in music, builders in AI must โ€œfeel itโ€ in their bones.

This new era of AI, with its burgeoning personality and profound societal implications, demands a holistic approach. Itโ€™s not just about technical prowess, but also about cultural understanding, ethical considerations, and a deep sense of human purpose. As Signal and his small team embark on building their own โ€œfun little consumer productโ€ in AI, they embody this philosophy: โ€œI just donโ€™t want to talk the talk. I want to walk the walk.โ€ The journey ahead promises not just technological innovation, but a redefinition of what it means to be human in an increasingly intelligent world.


Based on โ€œTrump vs. the Popeโ€ from New York Times Podcasts Watch the original video

The Unprecedented Clash: When Trump Met the Pope

By [Your Name/Journalistโ€™s Name - or leave blank]

April 16, 2026

A remarkable and deeply unsettling disagreement has erupted between the President of the United States and Pope Leo I 14th, marking what many are calling the most direct confrontation between a head of state and the spiritual leader of 1.4 billion Catholics in modern history. The unusual rift, which escalated sharply this past week, has seen President Trump unleash a barrage of public attacks against the pontiff, only to be met with an equally resolute, albeit uncharacteristically direct, response from the mild-mannered Pope.

The New York Timesโ€™ Mokco Rich, reporting from the papal plane as it crisscrosses Africa, offers a unique vantage point into this high-stakes drama. โ€œWeโ€™re on the third day of Pope Leoโ€™s first trip as Pope to Africa,โ€ Rich explains, describing the surreal atmosphere of papal duties unfolding against a backdrop of global political upheaval. โ€œIn the bubble of the papal plane, thereโ€™s this great awareness of this huge rift that has opened up between the pope and the president of the United States.โ€

A Quiet Papacy, A Brewing Storm

Pope Leo I 14th, the first American pontiff, began his papacy with a deliberate effort to foster unity and avoid confrontation. Unlike his predecessor, Pope Francis, who was perceived as more left-leaning and famously clashed with Trump over issues like migration, Pope Leo adopted a more subdued approach. He made generalized comments advocating for peace, environmental protection, and speaking out against war, carefully sidestepping direct political engagement. He even extended olive branches to conservatives within the Catholic Church, wearing the traditional red mosetta and allowing conservative cardinals to say mass in Latin. He was, by all accounts, a uniter.

However, beneath this calm exterior, ideological differences with the Trump administration began to surface. Pope Leo subtly encouraged the U.S. Council on Bishops when they condemned the presidentโ€™s migration policies. But it was the outbreak of war against Iran that truly ignited the latent tensions.

The War: A Moral Minefield

Soon after the war began, Pope Leo started making increasingly pointed comments, though still general in nature. โ€œBrothers and sisters,โ€ he prayed, โ€œIโ€™m following with deep concern whatโ€™s happening in the Middle East and Iran in these dramatic momentsโ€ฆ I ask all the parties involved to take up the moral responsibility to end the spiral of violence before it becomes an irreparable chasm.โ€ While these words could be interpreted broadly, the Trump administration increasingly perceived them as a veiled attack.

The confrontation escalated dramatically when Defense Secretary Pete Hgsev publicly exhorted Americans โ€œevery day on bended kneeโ€ to โ€œpray for military victoryโ€ in the name of Jesus Christ. This invocation of a specific religious figure by a high-ranking government official to justify an American war was, as Rich notes, โ€œhighly unusualโ€ in a nation that espouses separation of church and state.

The Popeโ€™s response was swift and striking. In a Palm Sunday homily the week before Easter, he declared that โ€œJesus does not listen to the prayers of those who wage war,โ€ directly contradicting Hgsevโ€™s call for divine intervention on one side of the conflict. While one cannot know the Popeโ€™s inner thoughts, Rich suggests that Hgsevโ€™s move โ€œreally upset the pope,โ€ especially given Pope Leoโ€™s consistent and deeply held anti-war stance.

The Breaking Point: Annihilation and Outrage

The situation reached a fever pitch when President Trump, in a Truth Social post, threatened to โ€œannihilate the civilization of Iran overnight.โ€ This aggressive rhetoric prompted a rare, direct condemnation from Pope Leo. โ€œTo call for the annihilation of a civilization is unacceptable,โ€ he stated unequivocally. He went further, exhorting citizens in concerned countries to โ€œcall their congressmen, call their political leaders and call for the end to war and all wars.โ€ This was no longer an โ€œobliqueโ€ call for peace; it was a direct challenge to the Presidentโ€™s war policy.

The tension was palpable, with many anticipating a presidential backlash. It came after three very high-ranking U.S. cardinals appeared on 60 Minutes, unequivocally underscoring the Popeโ€™s anti-war message. One cardinal called the war โ€œsickening,โ€ decrying the โ€œdehumanizing [of] the victims of war by turning the suffering of people and the killing of children and our own soldiers into entertainment.โ€

This broadcast, whether directly or indirectly, seemed to trigger the President. From Rome, Mokco Rich recounted waking up to a lengthy Truth Social post from Trump, posted โ€œliterally minutes before we were all waking up.โ€ In it, the President attacked Pope Leo as โ€œweak on crime and a tool of the radical left,โ€ โ€œterrible on foreign policy,โ€ and even expressed a preference for the Popeโ€™s brother, who is reportedly a Trump supporter. It was an โ€œextraordinary attack on the Pope,โ€ Rich observed, echoing Trumpโ€™s typical playbook for political opponents.

On the Papal Plane: โ€œI Have No Fearโ€

The timing of Trumpโ€™s outburst was particularly dramatic, occurring just as the papal entourage was preparing to board their flight to Cameroon. The usual airport chatter about vaccines and malaria pills was replaced by a singular question: โ€œHow can we get the Pope to comment on this?โ€

Traditional papal plane protocol dictates informal greetings, not interviews. But this moment was too significant to ignore. As Pope Leo walked the aisles, journalists broke convention, asking him directly about Trumpโ€™s Truth Social post. The Pope, known for his discipline and reserved nature, did not shy away.

โ€œI have no fear of neither the Trump administration nor speaking out loudly about the message of the gospel,โ€ Pope Leo declared, making it unequivocally clear who he was addressing. โ€œDonโ€™t want to get into a debate with him. I donโ€™t think that the message of the gospel is meant to be abused in the way that some people are doing and I will continue to speak out loud against war.โ€ He emphasized his role in speaking for the โ€œmost vulnerable among us,โ€ asserting his position as an important moral voice in the world.

Rich notes the significance of this response: โ€œThe fact that someone who has that reputation and temperament is willing to say the things that he saidโ€ฆ I think that almost makes his speech more powerful.โ€ His defiance, coming from such a mild-mannered figure, was a powerful contrast to the constant โ€œflamethrowingโ€ of American politics.

The Blasphemous Image and the โ€œDoctorโ€ Defense

The drama intensified further upon landing in Cameroon, when news broke of President Trumpโ€™s latest Truth Social post: an AI-generated image of himself depicted as a Jesus-like figure. The image showed Trump with a light in his hand, blessing a sick patient, with angel-like figures in the sky, strongly suggesting a divine or messianic portrayal.

The reaction was immediate and widespread outrage. Not just Catholics, but many Christians, including evangelical Christians, condemned the image as โ€œdisgusting,โ€ โ€œa disgrace,โ€ and โ€œblasphemy in its purest form.โ€ One voter exclaimed, โ€œJesus Christ is my Lord and Savior, and that right there is I mean, thatโ€™s I I donโ€™t really have words for that.โ€

President Trump, however, offered a perplexing defense, claiming he was not trying to look like Jesus, but rather โ€œa doctor who helped peopleโ€ and a โ€œRed Cross worker.โ€ This explanation was met with widespread disbelief. โ€œI have not heard anyone who thinks he looks like a doctor,โ€ Mokco Rich reported from the papal trip, underscoring the general consensus that the image was clearly alluding to a Jesus figure.

Vanceโ€™s Lecture and the Just War Debate

Adding another layer to the intricate conflict, Vice President JD Vance, a prominent Catholic in the administration, publicly doubled down on the antagonistic approach to the Pope. Vance seemed to โ€œschool the pope on Catholic theology,โ€ arguing for the theory of a โ€œjust warโ€ and questioning Pope Leoโ€™s stance.

โ€œHow can you say that God is never on the side of those who wield the sword?โ€ Vance asked, invoking historical examples like Americans liberating France from the Nazis or Holocaust camps. He argued that the attack on Iran was a just war in a Christian sense and then remarkably suggested the Pope should โ€œjust stick to matters that concern the church.โ€

This attempt by a recent convert to Catholicism to lecture the lifelong Catholic leader of the Church on theology struck many as โ€œpeculiarโ€ and โ€œstunning.โ€ While the Popeโ€™s exact response remains unstated, his position, shared by many global leaders, would likely be that the current conflict โ€œdoes not qualify as a just war.โ€ He emphasizes dialogue over force, asserting that there are โ€œother ways to get to these goalsโ€ than through violence, and reiterates the need to โ€œspeak up for the innocent people who are getting killed.โ€

Why This Clash Matters

This unprecedented clash holds profound significance for several reasons.

First, Pope Leoโ€™s โ€œAmericannessโ€ makes him uniquely difficult for the Trump administration to dismiss. โ€œThey cannotโ€ฆ say, โ€˜Look, this guy just doesnโ€™t get us. Weโ€™re different,โ€™โ€ Rich explains. Born in Chicago, from the Midwest heartland, Pope Leo โ€œdeeply understands partisan politics in the United States,โ€ making him โ€œmuch harder to dismiss.โ€

Second, the Pope is arguably the most recognized Christian leader on Earth, and possibly the most recognized spiritual leader globally, alongside the Dalai Lama. For him to โ€œcounter what is one of their chief arguments for going to war so forcefully is very powerful and perhaps threateningโ€ to the Trump administration, which has frequently invoked religious and specifically Christian values to justify its actions.

Third, the Vatican, as a sovereign state and a spiritual authority, is largely immune to the Presidentโ€™s usual intimidation tactics. Trump cannot retaliate with tariffs, withdraw aid, or attempt to unseat the Pope through public opinion or political maneuvering. This unique position allows Pope Leo to speak with a fearlessness that many other global leaders cannot afford.

Finally, Pope Leo, whether he likes it or not, has become an โ€œobvious foil for Trump.โ€ While he likely did not seek this role, his consistent adherence to the core values of peace, unity, and dialogue has inadvertently triggered an administration that โ€œreally craves the approval of a Christian leader to justify their actions.โ€

Discipline Amidst the Muck

In the days following his forceful remarks on the papal plane, Pope Leo has shown signs of returning to his โ€œoblique style.โ€ On a subsequent flight, he spoke about the joy of visiting a Muslim-majority country and the lessons of unity and peaceful coexistence, pointedly using the word โ€œpeace.โ€ He did not take further questions regarding the Trump controversy, demonstrating a โ€œmessage disciplineโ€ that stands in stark contrast to the Presidentโ€™s often spontaneous and confrontational approach.

This is not a Pope who seeks out political fights. His role, first and foremost, is that of a religious leader. Yet, by consistently upholding the values he preaches, he has found himself in an unavoidable confrontation. The fight has come to him, and he has proven himself willing โ€“ and unafraid โ€“ to step into it, reshaping the dynamics of global moral authority in the process.

As the U.S. Bishopโ€™s Doctrine Committee chairman recently stated, pushing back against Vice President Vanceโ€™s theological lectures, when Pope Leo speaks, โ€œhe is not merely offering opinions on theology. He is preaching the gospel.โ€ In this unprecedented clash, the gospel of peace has found a powerful, disciplined, and uniquely American voice.


ํ•œ๊ตญ์–ด

โ€œHow your brain builds and edits your identityโ€ โ€” Big Think ๊ธฐ๋ฐ˜ ๊ธฐ์‚ฌ ์›๋ณธ ์˜์ƒ ๋ณด๊ธฐ

๋‚ด ์•ˆ์˜ ๋ชฉ์†Œ๋ฆฌ, ์ถ•๋ณต์ธ๊ฐ€ ์ €์ฃผ์ธ๊ฐ€? ๋‡Œ๊ฐ€ ๋งŒ๋“œ๋Š” โ€˜๋‚˜โ€™๋ฅผ ์žฌ๊ตฌ์„ฑํ•˜๋Š” ๋ฒ•

์šฐ๋ฆฌ๊ฐ€ ์„ธ์ƒ์„ ์ธ์‹ํ•˜๋Š” ๋ฐฉ์‹, ๊ทธ๋ฆฌ๊ณ  ์šฐ๋ฆฌ ์ž์‹ ์— ๋Œ€ํ•œ ๊ฐ๊ฐ์ด ์‚ฌ์‹ค์€ ๋‡Œ๊ฐ€ ๋งŒ๋“ค์–ด๋‚ธ โ€˜ํ™˜์ƒโ€™์ด๋ผ๋Š” ์‚ฌ์‹ค์„ ์•Œ๊ณ  ๊ณ„์…จ๋‚˜์š”? ๋น… ์”ฝํฌ(Big Think) ์ฑ„๋„์˜ ์˜์ƒ โ€˜How your brain builds and edits your identityโ€™๋Š” ์šฐ๋ฆฌ์˜ ์ธ์‹์ด ๋‡Œ์˜ ๊ตฌ์„ฑ๋ฌผ(construct)์ด๋ฉฐ, ์ด๋Š” ๊ณง ์šฐ๋ฆฌ์—๊ฒŒ ์„ธ์ƒ์„ ์ธ์ง€ํ•˜๋Š” ๋ฐฉ์‹์— ๋Œ€ํ•œ ํ†ต์ œ๋ ฅ์„ ๋ถ€์—ฌํ•˜๋Š” ๊ธฐํšŒ๊ฐ€ ๋œ๋‹ค๋Š” ์‹ฌ์˜คํ•œ ๋ฉ”์‹œ์ง€๋ฅผ ๋˜์ง‘๋‹ˆ๋‹ค. ์šฐ๋ฆฌ์˜ ์ •์ฒด์„ฑ์€ ๊ณ ์ •๋œ ๊ฒƒ์ด ์•„๋‹ˆ๋ผ, ๋Š์ž„์—†์ด ๋ณ€ํ™”ํ•˜๊ณ  ๋ฐœ์ „ํ•  ์ˆ˜ ์žˆ๋Š” ์—ญ๋™์ ์ธ ๊ณผ์ •์ด๋ผ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.

๋‡Œ๊ฐ€ ๋นš์–ด๋‚ธ โ€˜๋‚˜โ€™๋ผ๋Š” ํ™˜์ƒ, ๊ทธ๋ฆฌ๊ณ  ๊ทธ ์†์˜ ๊ธฐํšŒ

์šฐ๋ฆฌ์˜ ์ธ์‹์€ ๋‚ด๋ถ€์—์„œ ํ˜•์„ฑ๋˜๋Š” โ€˜๊ธฐ๋Œ€โ€™์™€ ์™ธ๋ถ€์—์„œ ๋“ค์–ด์˜ค๋Š” โ€˜์ •๋ณดโ€™๊ฐ€ ๊ฒฐํ•ฉํ•˜์—ฌ ๋งŒ๋“ค์–ด์ง‘๋‹ˆ๋‹ค. ๊ณผ๊ฑฐ์˜ ๊ฒฝํ—˜์„ ํ†ตํ•ด ์ถ•์ ๋œ ๋‚ด์  ๊ธฐ๋Œ€์™€ ์™ธ๋ถ€ ํ™˜๊ฒฝ์—์„œ ์œ ์ž…๋˜๋Š” ๊ฐ๊ฐ ์ •๋ณด๊ฐ€ ๋งŒ๋‚˜ ์šฐ๋ฆฌ๊ฐ€ ์‹ค์ œ๋กœ ๊ฒฝํ—˜ํ•˜๋Š” ์„ธ์ƒ์„ ์ฐฝ์กฐํ•˜๋Š” ๊ฒƒ์ด์ฃ . ์ด๋Ÿฌํ•œ ์ธ์‹์€ ๋‡Œ๊ฐ€ ๋Š์ž„์—†์ด ์žฌ๊ตฌ์„ฑํ•˜๋Š” ๊ณผ์ •์ด๋ฉฐ, ์ด ๊ณผ์ •์— ์šฐ๋ฆฌ๊ฐ€ ๊ฐœ์ž…ํ•  ์—ฌ์ง€๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค.

์šฐ๋ฆฌ์˜ ๋‡Œ๋Š” ๊ฒฝํ—˜์„ ํ†ตํ•ด ๋‰ด๋Ÿฐ(neuron) ๊ฐ„์˜ ์—ฐ๊ฒฐ์„ ํ˜•์„ฑํ•˜๊ณ , ์ค‘์š”ํ•˜์ง€ ์•Š์€ ์—ฐ๊ฒฐ์€ ๊ฐ€์ง€์น˜๊ธฐ(pruning)ํ•˜๋ฉฐ ์ค‘์š”ํ•œ ์—ฐ๊ฒฐ์„ ๊ฐ•ํ™”ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ๋งˆ์น˜ ์ •์›์‚ฌ๊ฐ€ ๋‚˜๋ฌด๋ฅผ ๊ฐ€๊พธ๋“ฏ, ์‚ถ์˜ ๊ฒฝํ—˜์„ ํ†ตํ•ด ์šฐ๋ฆฌ์˜ ์ •์‹  ๊ตฌ์กฐ๊ฐ€ ๋”์šฑ ์ •๊ตํ•˜๊ณ  ์ •์˜๋œ ํ˜•ํƒœ๋กœ ๋ฐœ์ „ํ•ด ๋‚˜๊ฐ€๋Š” ๊ณผ์ •๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค. ์ด ๊ณผ์ •์—์„œ ๋‡Œ๋Š” ๋ฌด์˜์‹์ ์œผ๋กœ ํ–‰๋™์„ ์œ ๋„ํ•˜๋Š” ์ •๋ณด๋“ค์„ ์ฒ˜๋ฆฌํ•˜๋ฉฐ, ๋™์‹œ์— ์šฐ๋ฆฌ๊ฐ€ ์˜์‹ํ•˜๋Š” ๊ฒƒ ๋˜ํ•œ ์šฐ๋ฆฌ์˜ ์ธ์‹๊ณผ ๊ธฐ์–ต์— ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ๋ถ€์ •์ ์ธ ์ƒ๊ฐ์— ๊ฐ‡ํ˜€ ์žˆ๋‹ค๋ฉด ์ฃผ๋ณ€ ํ™˜๊ฒฝ๋„ ๋ถ€์ •์ ์œผ๋กœ ๋ณด๊ฒŒ ๋˜๊ณ , ๊ธ์ •์ ์ธ ๋งˆ์Œ ์ƒํƒœ์—์„œ๋Š” ๊ฐ™์€ ํ™˜๊ฒฝ์ด๋ผ๋„ ๊ธ์ •์ ์œผ๋กœ ์ธ์‹ํ•˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.

์ด๋Ÿฌํ•œ ๋งฅ๋ฝ์—์„œ โ€˜๋งˆ์Œ์ฑ™๊น€(mindfulness)โ€˜์€ ๋งค์šฐ ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค. ๋งˆ์Œ์ฑ™๊น€์€ ๋‡Œ๊ฐ€ ๋ฌด์—‡์— ์ฃผ์˜๋ฅผ ๊ธฐ์šธ์ด๊ณ  ๋ฌด์—‡์„ ๋ฐ›์•„๋“ค์ผ์ง€, ๊ทธ๋ฆฌ๊ณ  ์„ธ์ƒ์— ์–ด๋–ป๊ฒŒ ๋ฐ˜์‘ํ• ์ง€๋ฅผ ํ†ต์ œํ•˜๋Š” ๊ณผ์ •์ž…๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๊ฐ€ ๊ฐ์ž ์ž์‹ ๋งŒ์˜ โ€˜์ธ์‹์˜ ์ƒ์ž(perceptual box)โ€™ ์•ˆ์— ์‚ด๊ณ  ์žˆ๋‹ค๋Š” ์ ์„ ์ดํ•ดํ•˜๋ฉด, ํƒ€์ธ์— ๋Œ€ํ•œ ๊ณต๊ฐ(empathy) ๋Šฅ๋ ฅ์„ ํ‚ค์šฐ๋Š” ๋ฐ ๋„์›€์ด ๋ฉ๋‹ˆ๋‹ค. ๋ชจ๋‘๊ฐ€ ๊ฐ์ž์˜ ๋‡Œ๊ฐ€ ๊ตฌ์ถ•ํ•œ ํ˜„์‹ค ์†์—์„œ ์‚ด์•„๊ฐ€๊ณ  ์žˆ์Œ์„ ์ธ์ •ํ•˜๋Š” ๊ฒƒ์ด์ฃ .

๋‚ด๋ฉด์˜ ๋ชฉ์†Œ๋ฆฌ: ์ƒ์กด ๋„๊ตฌ์ธ๊ฐ€, ์ž๊ธฐ ํŒŒ๊ดด์ธ๊ฐ€?

์šฐ๋ฆฌ์˜ โ€˜๋‚ด๋ฉด์˜ ๋ชฉ์†Œ๋ฆฌ(inner voice)โ€˜๋Š” ์‚ถ์„ ์กฐ์šฉํžˆ ์„ฑ์ฐฐํ•˜๊ณ , ์–ธ์–ด๋ฅผ ์‚ฌ์šฉํ•ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋ฉฐ, ๋ฏธ๋ž˜๋ฅผ ๊ณ„ํšํ•˜๊ณ , ์ž๊ธฐ ํ†ต์ œ๋ฅผ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜๋Š” ๋†€๋ผ์šด ์ƒ์กด ๋„๊ตฌ์ž…๋‹ˆ๋‹ค. ์ด๋Š” ์šฐ๋ฆฌ๊ฐ€ โ€˜์–ธ์–ด์  ์ž‘์—… ๊ธฐ์–ต ์‹œ์Šคํ…œ(verbal working memory system)โ€˜์ด๋ผ ๋ถ€๋ฅด๋Š” ๊ฒƒ์˜ ์ผ๋ถ€์ด๋ฉฐ, ๊ถ๊ทน์ ์œผ๋กœ ์šฐ๋ฆฌ ์‚ถ์˜ ์ด์•ผ๊ธฐ๋ฅผ ๊ตฌ์„ฑํ•˜๊ณ  ์˜๋ฏธ๋ฅผ ๋ถ€์—ฌํ•˜๋Š” ๋ฐ ๋„์›€์„ ์ค๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ๋‚ด๋ฉด์˜ ๋ชฉ์†Œ๋ฆฌ๋ฅผ ํ†ตํ•ด ์ž์‹ ์˜ ์ •์ฒด์„ฑ์„ ์„ค๋ช…ํ•˜๋Š” ์„œ์‚ฌ๋ฅผ ๋งŒ๋“ค์–ด๋‚ด๊ณ , ์ด๋ฅผ ํ†ตํ•ด ์ž์‹ ์ด ๋ˆ„๊ตฌ์ธ์ง€์— ๋Œ€ํ•œ ์ดํ•ด์˜ ํ‹€์„ ํ˜•์„ฑํ•ฉ๋‹ˆ๋‹ค.

ํ•˜์ง€๋งŒ ์ด ๊ฐ•๋ ฅํ•œ ๋„๊ตฌ์—๋Š” ์–ด๋‘์šด ์ด๋ฉด์ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋ฐ”๋กœ โ€˜์žก๋…โ€™ ๋˜๋Š” โ€˜๋‚ด๋ฉด์˜ ๋ถ€์ •์  ๋Œ€ํ™”(chatter)โ€˜์ž…๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๊ฐ€ ๋ฌธ์ œ์˜ ํ•ด๊ฒฐ์ฑ…์„ ์ฐพ๊ธฐ ์œ„ํ•ด ๋‚ด๋ฉด์œผ๋กœ ํ–ฅํ•  ๋•Œ, ๋•Œ๋กœ๋Š” ํ•ด๋‹ต ๋Œ€์‹  ๋Š์ž„์—†๋Š” ๋ฐ˜์ถ”(rumination), ๊ฑฑ์ •, ๊ทธ๋ฆฌ๊ณ  ์ตœ์•…์˜ ์‹œ๋‚˜๋ฆฌ์˜ค๋ฅผ ์ƒ์ƒํ•˜๋Š” ํŒŒ๊ตญํ™”(catastrophising)์— ๋น ์ง€๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. ์ด ๋ถ€์ •์ ์ธ ์ˆœํ™˜์€ ์šฐ๋ฆฌ์˜ ๋‚ด๋ฉด์˜ ๋ชฉ์†Œ๋ฆฌ๋ผ๋Š” ๋†€๋ผ์šด ๋„๊ตฌ๋ฅผ ์ถ•๋ณต์ด ์•„๋‹Œ ์ €์ฃผ๋กœ ๋ณ€์งˆ์‹œํ‚ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.

โ€˜๋‚˜โ€™๋ฅผ ๋‹ค์‹œ ์“ฐ๋Š” ๊ณผํ•™์  ๋ฐฉ๋ฒ•

๋‹คํ–‰ํžˆ๋„, ๋‚ด๋ฉด์˜ ๋ชฉ์†Œ๋ฆฌ๋ฅผ ํ†ต์ œํ•˜๊ณ  ๊ธ์ •์ ์ธ ๋ฐฉํ–ฅ์œผ๋กœ ์ด๋Œ ์ˆ˜ ์žˆ๋Š” ๊ณผํ•™์  ๊ธฐ๋ฐ˜์˜ ๋„๊ตฌ๋“ค์ด ์กด์žฌํ•ฉ๋‹ˆ๋‹ค. ๊ทธ์ค‘ ํ•˜๋‚˜๊ฐ€ ๋ฐ”๋กœ โ€˜์˜์‹(ritual)โ€˜์ž…๋‹ˆ๋‹ค. ๋งค๋ฒˆ ๋™์ผํ•œ ํ–‰๋™์„ ๋™์ผํ•œ ์ˆœ์„œ๋กœ ๋ฐ˜๋ณตํ•˜๋Š” ์˜์‹์€ ํ˜ผ๋ž€์Šค๋Ÿฌ์šด ์žก๋…์— ๋น ์ ธ ์žˆ์„ ๋•Œ ์งˆ์„œ์™€ ํ†ต์ œ๊ฐ์„ ์ œ๊ณตํ•˜์—ฌ ์•ˆ์ •๊ฐ์„ ๋А๋ผ๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค. ์ค‘์š”ํ•œ ๊ฒƒ์€ ์ž์‹ ์—๊ฒŒ ๋งž๋Š” ๋…ํŠนํ•œ ๋„๊ตฌ ์กฐํ•ฉ์„ ์ฐพ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ฐ์ž๊ฐ€ ๊ฒฝํ—˜ํ•˜๋Š” ์žก๋…์˜ ์ข…๋ฅ˜์™€ ๊ฐ•๋„๊ฐ€ ๋‹ค๋ฅด๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.

์šฐ๋ฆฌ๊ฐ€ ์šฐ๋ฆฌ ์ž์‹ ์—๊ฒŒ ๋“ค๋ ค์ฃผ๋Š” ์ด์•ผ๊ธฐ๋Š” ํ™˜๊ฒฝ๊ณผ ์–‘์œก ๋ฐฉ์‹์— ์˜ํ•ด ํฌ๊ฒŒ ํ˜•์„ฑ๋ฉ๋‹ˆ๋‹ค. ์šฐ๋ฆฌ๋Š” ํ˜•์„ฑ๊ธฐ์— ์ฃผ๋ณ€ ์‚ฌ๋žŒ๋“ค์„ ๊ด€์ฐฐํ•˜๋ฉฐ ์„ธ์ƒ์ด ์–ด๋–ค ๊ณณ์ธ์ง€ ๋ฐฐ์šฐ๋Š” โ€˜๊ด€์ฐฐ ํ•™์Šต(observational knowledge)โ€˜์„ ํ†ตํ•ด ๋งŽ์€ ๊ฒƒ์„ ์Šต๋“ํ•ฉ๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ๊ด€์ฐฐ ํ•™์Šต์—๋Š” ์ด๋ฉด์ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋•Œ๋กœ๋Š” ์ฃผ๋ณ€ ์‚ฌ๋žŒ์ด๋‚˜ ๋ถ€๋ชจ๋‹˜์ด ์ž๊ธฐ ์ž์‹ ์—๊ฒŒ ๋งค์šฐ ๋น„ํŒ์ ์ธ ๋ชจ์Šต์„ ๋ณด์ด๋ฉด, ์šฐ๋ฆฌ๋„ ๊ทธ ๋น„ํŒ์ ์ธ ํƒœ๋„๋ฅผ ๋ฐฐ์šฐ๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ, ํŠน์ • ์„œ์‚ฌ๊ฐ€ ๊ฐ•์กฐ๋˜๋ฉด ์„ฑ์ธ์ด ๋˜์–ด์„œ๋„ ๊ทธ ํ‹€ ์•ˆ์— ๊ฐ‡ํžŒ โ€˜๊ณ ์ •๋œ ์‚ฌ๊ณ ๋ฐฉ์‹(fixed mindset)โ€˜์„ ๊ฐ–๊ฒŒ ๋  ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค.

์ธ๊ฐ„์€ ๋ณธ์งˆ์ ์œผ๋กœ โ€˜๋ถ€์ •์„ฑ ํŽธํ–ฅ(negativity bias)โ€˜์„ ๊ฐ€์ง€๊ณ  ์žˆ์–ด ๊ธ์ •์ ์ธ ์ •๋ณด๋ณด๋‹ค ๋ถ€์ •์ ์ธ ์ •๋ณด๋ฅผ ๋” ๊ฐ•ํ•˜๊ฒŒ ์ธ์‹ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ถ€์ •์„ฑ ํŽธํ–ฅ์€ ์šฐ๋ฆฌ๊ฐ€ ์ž์‹ ์—๊ฒŒ ํ•˜๋Š” ๋ถ€์ •์ ์ธ ์ด์•ผ๊ธฐ๋“ค์„ ๋”์šฑ ๋ถ€๊ฐ์‹œํ‚ฌ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋งŒ์•ฝ ์ด๋ฅผ ๋ฐฉ์น˜ํ•œ๋‹ค๋ฉด, ๋ถ€์ •์ ์ธ ์ƒ๊ฐ์€ ์„ธ์ƒ์„ ๋ณด๋Š” ์šฐ๋ฆฌ์˜ ๊ธฐ๋ณธ์ ์ธ ํ‹€(template)์„ ํ˜•์„ฑํ•˜๊ฒŒ ๋˜๊ณ , ๋‡Œ๋Š” ์ด๋ฅผ ์ •์ƒ์ ์ธ ๊ฒƒ์œผ๋กœ ์ธ์‹ํ•˜์—ฌ ์‚ถ์˜ ๋ชจ๋“  ์ธก๋ฉด์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.

์ž๋™ ์กฐ์ข… ๋ชจ๋“œ๋ฅผ ๋ฒ—์–ด๋‚˜, ์ƒˆ๋กœ์šด ๋‚˜๋ฅผ ์„ค๊ณ„ํ•˜๋‹ค

์šฐ๋ฆฌ์˜ ์ƒ๊ฐ์€ ๊ฐ•๋ ฅํ•˜๋ฉฐ, ์ด๋ฅผ ๊ธ์ •์ ์ธ ๋ฐฉํ–ฅ์œผ๋กœ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ž‘์€ ์„ฑ๊ณต(small wins)์„ ์ฐพ์•„๋‚ด๊ณ  ์ถ•ํ•˜ํ•˜๋Š” ๊ฒƒ์€ ์šฐ๋ฆฌ๊ฐ€ ๊ธฐ์กด์— ๊ณ ์ˆ˜ํ•ด์™”๋˜ ๊ฒฐ๊ณผ์™€๋Š” ๋‹ค๋ฅธ, ์ƒˆ๋กœ์šด ๊ฐ€๋Šฅ์„ฑ์„ ๋น„์ถ”๊ธฐ ์‹œ์ž‘ํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋‡Œ๋Š” ์ต์ˆ™ํ•œ ๊ฒƒ์„ ๋ฐ˜๋ณตํ•˜๊ณ  ์—๋„ˆ์ง€๋ฅผ ์ ˆ์•ฝํ•˜๋ ค ํ•˜๊ธฐ ๋•Œ๋ฌธ์—, ์˜์‹์ ์ธ ์ฃผ์˜๋ฅผ ๊ธฐ์šธ์—ฌ์•ผ๋งŒ ๋ณ€ํ™”๋ฅผ ์‹œ์ž‘ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์šฐ๋ฆฌ๊ฐ€ ์ž๋™์ ์ธ ํŒจํ„ด์„ ๊นจ๊ณ  ์ง์ ‘ ์šด์ „๋Œ€๋ฅผ ์žก์„ ๋•Œ, ์šฐ๋ฆฌ๋Š” โ€˜๋‚˜๋Š” ์ด๋Ÿฐ ํ‹€์— ๊ฐ‡ํ˜€ ์žˆ์—ˆ์ง€๋งŒ, ์ด์ œ๋Š” ๋ฐ”๊พธ๊ณ  ์‹ถ๋‹คโ€™๊ณ  ์„ ์–ธํ•˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. ์ด๋Š” ๋ถ€๋ชจ๋‹˜์ด๋‚˜ ์‚ฌํšŒ๊ฐ€ ์šฐ๋ฆฌ์—๊ฒŒ ๋ถ€์—ฌํ•œ ํ‹€์—์„œ ๋ฒ—์–ด๋‚˜๊ณ ์ž ํ•˜๋Š” ์˜์ง€์ด๊ธฐ๋„ ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋ ‡๊ฒŒ ํ•จ์œผ๋กœ์จ ์šฐ๋ฆฌ๋Š” ์ž์‹ ์˜ ์ธ์‹์˜ ์ƒ์ž๋ฅผ ์žฌ๋ฐฐ์„ ํ•˜๊ณ (rewire), ์ž์‹ ์„ ๋ณด๋Š” ๋ฐฉ์‹๊ณผ ํƒ€์ธ์ด ์šฐ๋ฆฌ๋ฅผ ํ•ด์„ํ•˜๋Š” ๋ฐฉ์‹์„ ์žฌํ˜•์„ฑํ•˜๊ธฐ ์‹œ์ž‘ํ•ฉ๋‹ˆ๋‹ค.

๊ฒฐ๋ก ์ ์œผ๋กœ, ์šฐ๋ฆฌ๋Š” ๋งˆ์ง€๋ง‰ ์ˆจ์„ ๊ฑฐ๋‘˜ ๋•Œ๊นŒ์ง€ ๊ณ„์†ํ•ด์„œ ๋ณ€ํ™”ํ•˜๊ณ  ๋ฐœ์ „ํ•˜๋Š” ์กด์žฌ์ด๋ฉฐ, ๋ณ€ํ™”์˜ ์—ฌ์ง€๋Š” ํ•ญ์ƒ ์—ด๋ ค ์žˆ์Šต๋‹ˆ๋‹ค. ์ •์ฒด์„ฑ์€ ๊ณ ์ •๋œ ๊ฒƒ์ด ์•„๋‹ˆ๋ฉฐ, ์šฐ๋ฆฌ ์Šค์Šค๋กœ๊ฐ€ ์šด์ „๋Œ€๋ฅผ ์žก๊ณ  ๋” ๋‚˜์€ โ€˜๋‚˜โ€™๋ฅผ ๋งŒ๋“ค์–ด๊ฐˆ ์ˆ˜ ์žˆ๋‹ค๋Š” ํฌ๋ง์ฐฌ ๋ฉ”์‹œ์ง€๋ฅผ ๋˜์ง‘๋‹ˆ๋‹ค. ๋‡Œ๊ฐ€ ๋งŒ๋“ค์–ด๋‚ด๋Š” ํ™˜์ƒ ์†์—์„œ ๊ธธ์„ ์žƒ๋Š” ๋Œ€์‹ , ๊ทธ ํ™˜์ƒ์„ ์žฌ๊ตฌ์„ฑํ•˜์—ฌ ๋”์šฑ ํ’์š”๋กญ๊ณ  ์˜๋ฏธ ์žˆ๋Š” ์‚ถ์„ ๋งŒ๋“ค์–ด๊ฐˆ ํž˜์ด ์šฐ๋ฆฌ ์•ˆ์— ์žˆ์Œ์„ ๊ธฐ์–ตํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.


โ€œAI Is Killing the Career Ladder. A Stanford Economist Explains What Comes Next | Bharat Chandarโ€ โ€” EO ๊ธฐ๋ฐ˜ ๊ธฐ์‚ฌ ์›๋ณธ ์˜์ƒ ๋ณด๊ธฐ

AI๊ฐ€ ๋ถ€์ˆ˜๋Š” โ€˜๊ฒฝ๋ ฅ ์‚ฌ๋‹ค๋ฆฌโ€™: ์Šคํƒ ํผ๋“œ ๊ฒฝ์ œํ•™์ž๊ฐ€ ์ œ์‹œํ•˜๋Š” ์ผ์˜ ๋ฏธ๋ž˜

์ธ๊ณต์ง€๋Šฅ(AI)์˜ ๊ธ‰๋ถ€์ƒ์œผ๋กœ ์ผ์ž๋ฆฌ์˜ ๋ฏธ๋ž˜์— ๋Œ€ํ•œ ๋ถˆ์•ˆ๊ฐ์ด ์ปค์ง€๋Š” ๊ฐ€์šด๋ฐ, ์Šคํƒ ํผ๋“œ ๋””์ง€ํ„ธ ๊ฒฝ์ œ ์—ฐ๊ตฌ์†Œ(Stanford Digital Economy Lab)์˜ ๊ฒฝ์ œํ•™์ž ๋ฐ”๋ž ์ฐฌ๋“œ๋ผ(Bharat Chandar)๋Š” ๊ธฐ์กด์˜ โ€˜๊ฒฝ๋ ฅ ์‚ฌ๋‹ค๋ฆฌ(career ladder)โ€™ ๊ฐœ๋…์ด ๋ฌด๋„ˆ์ง€๊ณ  ์žˆ์œผ๋ฉฐ, ๋Œ€์‹  โ€˜๊ฒฝ๋ ฅ ๊ฒฉ์ž(career lattice)โ€˜๋กœ์˜ ์ „ํ™˜์ด ํ•„์š”ํ•˜๋‹ค๊ณ  ์—ญ์„คํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Š” ์ Š์€ ๋…ธ๋™์ž๋“ค์ด AI ์‹œ๋Œ€์— ์ง๋ฉดํ•œ ๊ตฌ์ฒด์ ์ธ ๋„์ „๊ณผ ํ•จ๊ป˜, AI๋ฅผ ์œ„ํ˜‘์ด ์•„๋‹Œ ๊ธฐํšŒ๋กœ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜๋ฉฐ ์ƒˆ๋กœ์šด ๊ด€์ ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

์ Š์€ ๋…ธ๋™์ž์˜ ์œ„๊ธฐ๋ก : โ€˜ํƒ„๊ด‘ ์† ์นด๋‚˜๋ฆฌ์•„โ€™

์ฐฌ๋“œ๋ผ ๋ฐ•์‚ฌ์˜ ์—ฐ๊ตฌํŒ€์€ ์—๋ฆญ ๋ณผ์Šจ(Erik Brynjolfsson), ๋ฅ˜ ์ฒธ(Ryu Chen)๊ณผ ํ•จ๊ป˜ ๋ฏธ๊ตญ ๋‚ด ์ˆ˜๋ฐฑ๋งŒ ๋ช…์˜ ๋…ธ๋™์ž ๋ฐ์ดํ„ฐ๋ฅผ ๋ถ„์„ํ•˜์—ฌ AI๊ฐ€ ๋…ธ๋™ ์‹œ์žฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์‹ฌ์ธต์ ์œผ๋กœ ์กฐ์‚ฌํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, AI ๋…ธ์ถœ๋„๊ฐ€ ๋†’์€ ์ง์—…๊ตฐ์— ์ข…์‚ฌํ•˜๋Š” ์ Š์€ ๋…ธ๋™์ž๋“ค์€ ๊ณ ์šฉ ์„ฑ์žฅ๋ฅ ์ด 16% ๋” ๋‘”ํ™”๋˜๋Š” ํ˜„์ƒ์„ ๋ฐœ๊ฒฌํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์†Œํ”„ํŠธ์›จ์–ด ๊ฐœ๋ฐœ, ๊ณ ๊ฐ ์„œ๋น„์Šค, ํ–‰์ • ์—…๋ฌด ๋“ฑ AI ๊ธฐ์ˆ ๊ณผ ์ง์ ‘์ ์œผ๋กœ ์—ฐ๊ด€๋œ ๋ถ„์•ผ์—์„œ ๋‘๋“œ๋Ÿฌ์ง€๊ฒŒ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค.

์ฐฌ๋“œ๋ผ ๋ฐ•์‚ฌ๋Š” ์ด๋Ÿฌํ•œ ํ˜„์ƒ์„ โ€˜ํƒ„๊ด‘ ์† ์นด๋‚˜๋ฆฌ์•„(canaries in the coal mine)โ€˜์— ๋น„์œ ํ•ฉ๋‹ˆ๋‹ค. ๊ณผ๊ฑฐ ๊ด‘๋ถ€๋“ค์ด ์œ ํ•ด๊ฐ€์Šค ๊ฐ์ง€๋ฅผ ์œ„ํ•ด ์นด๋‚˜๋ฆฌ์•„๋ฅผ ๋ฐ๋ฆฌ๊ณ  ๋“ค์–ด๊ฐ”๋˜ ๊ฒƒ์ฒ˜๋Ÿผ, ์ Š์€ ๋…ธ๋™์ž๋“ค์˜ ๊ณ ์šฉ ๋‘”ํ™”๋Š” AI๊ฐ€ ๋…ธ๋™ ์‹œ์žฅ์— ๋ฏธ์น  ๋ฏธ๋ž˜์˜ ๊ด‘๋ฒ”์œ„ํ•œ ๋ณ€ํ™”๋ฅผ ์˜ˆ๊ณ ํ•˜๋Š” ์ง€ํ‘œ๋ผ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋ฐ˜๋ฉด, ๊ฒฝ๋ ฅ์ด ๋งŽ์€ ์ˆ™๋ จ๋œ ๋…ธ๋™์ž๋“ค์˜ ๊ณ ์šฉ์€ ๊ธฐ์กด ์ถ”์„ธ์™€ ํฌ๊ฒŒ ๋‹ค๋ฅด์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค.

์ผ์‹œ์  ํ˜„์ƒ์ธ๊ฐ€, ๊ตฌ์กฐ์  ๋ณ€ํ™”์ธ๊ฐ€?

์ด๋Ÿฌํ•œ ๊ณ ์šฉ ๋ณ€ํ™”๊ฐ€ ์ผ์‹œ์ ์ธ ๊ฒฝ๊ธฐ ๋ณ€๋™์ธ์ง€, ์•„๋‹ˆ๋ฉด AI์— ์˜ํ•œ ๊ตฌ์กฐ์ ์ธ ๋ณ€ํ™”์ธ์ง€์— ๋Œ€ํ•œ ์˜๋ฌธ์ด ์ œ๊ธฐ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฐฌ๋“œ๋ผ ๋ฐ•์‚ฌํŒ€์€ ์ด ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๊ฐ€ ๊ธˆ๋ฆฌ ๋ณ€ํ™”๋‚˜ ๊ธฐ์ˆ  ๊ธฐ์—…์˜ ๊ณผ์ž‰ ๊ณ ์šฉ ๋“ฑ ๋‹ค๋ฅธ ์š”์ธ์— ์˜ํ•ด ๋ฐœ์ƒํ•œ ๊ฒƒ์ด ์•„๋‹˜์„ ์ž…์ฆํ•˜๊ธฐ ์œ„ํ•ด ์—ฌ๋Ÿฌ ๋Œ€์•ˆ ๊ฐ€์„ค์„ ๊ฒ€์ฆํ–ˆ์Šต๋‹ˆ๋‹ค.

์˜ˆ๋ฅผ ๋“ค์–ด, ๊ธˆ๋ฆฌ ๋ณ€ํ™”์— ๋ฏผ๊ฐํ•œ ์šด์†ก์ด๋‚˜ ๊ฑด์„ค์—… ๊ฐ™์€ ๋ถ„์•ผ๋Š” AI ๋…ธ์ถœ๋„๊ฐ€ ์ƒ๋Œ€์ ์œผ๋กœ ๋‚ฎ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ, ๊ธฐ์ˆ  ๋ถ€๋ฌธ์ด๋‚˜ ์ปดํ“จํ„ฐ ๊ด€๋ จ ์ง์—…๊ตฐ์„ ์ œ์™ธํ•˜๊ณ  ๋ถ„์„ํ–ˆ์„ ๋•Œ๋„ ์œ ์‚ฌํ•œ ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์ Š์€ ๋…ธ๋™์ž๋“ค์˜ ๊ณ ์šฉ ๋‘”ํ™”๊ฐ€ AI ๋Šฅ๋ ฅ์˜ ๊ตฌ์กฐ์  ๋ณ€ํ™”๊ฐ€ ๋…ธ๋™ ์‹œ์žฅ์— ๋ฏธ์น˜๋Š” ์žฅ๊ธฐ์ ์ธ ์˜ํ–ฅ์ผ ๊ฐ€๋Šฅ์„ฑ์ด ๋†’๋‹ค๋Š” ๊ฒƒ์„ ์‹œ์‚ฌํ•ฉ๋‹ˆ๋‹ค.

์™œ ์ Š์€ ๋…ธ๋™์ž๋“ค์ด ๋” ์ทจ์•ฝํ•œ๊ฐ€?

์ฐฌ๋“œ๋ผ ๋ฐ•์‚ฌ๋Š” ์ Š์€ ๋…ธ๋™์ž๋“ค์ด AI์— ๋” ์ทจ์•ฝํ•œ ์ด์œ ๋ฅผ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. ๋…ธ๋™ ์‹œ์žฅ์— ์ฒ˜์Œ ์ง„์ž…ํ•˜๋Š” ์ Š์€์ด๋“ค์€ ํ•™๊ต์—์„œ ๋ฐฐ์šด โ€˜์ฑ…์œผ๋กœ ์–ป์€ ์ง€์‹(book knowledge)โ€˜์„ ๋ฐ”ํƒ•์œผ๋กœ ์—…๋ฌด๋ฅผ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์Šต๋‹ˆ๋‹ค. ๋ฐ˜๋ฉด, โ€˜์•”๋ฌต์ง€(tacit knowledge)โ€˜๋‚˜ โ€˜์ „๋žต์  ์‚ฌ๊ณ (strategic thinking)โ€™, โ€˜์‚ฌํšŒ์  ์ƒํ˜ธ์ž‘์šฉ(social interaction)โ€˜๊ณผ ๊ฐ™์€ ์š”์†Œ๋“ค์€ ์ง๋ฌด ๊ฒฝํ—˜์„ ํ†ตํ•ด์„œ๋งŒ ์–ป์„ ์ˆ˜ ์žˆ๋Š” ์˜์—ญ์ž…๋‹ˆ๋‹ค.

๋ฌธ์ œ๋Š” AI์˜ ๋Šฅ๋ ฅ์ด ์ Š์€ ๋…ธ๋™์ž๋“ค์ด ์ฃผ๋กœ ์ˆ˜ํ–‰ํ•˜๋Š” โ€˜์ฑ…์œผ๋กœ ์–ป์€ ์ง€์‹โ€™ ๊ธฐ๋ฐ˜์˜ ์—…๋ฌด์™€ ์ง์ ‘์ ์œผ๋กœ ์ค‘์ฒฉ๋œ๋‹ค๋Š” ์ ์ž…๋‹ˆ๋‹ค. ๋ฐ˜๋ฉด, ์ˆ™๋ จ๋œ ๋…ธ๋™์ž๋“ค์€ ๊ฒฝํ—˜์„ ํ†ตํ•ด ์ถ•์ ๋œ ์•”๋ฌต์ง€, ๋ณต์žกํ•œ ์ƒํ™ฉ์—์„œ์˜ ์ „๋žต์  ํŒ๋‹จ, ๊ทธ๋ฆฌ๊ณ  ์‚ฌ๋žŒ๊ณผ์˜ ์ƒํ˜ธ์ž‘์šฉ์„ ํ†ตํ•ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋Šฅ๋ ฅ์„ ๊ฐ€์ง€๊ณ  ์žˆ์–ด AI์— ๋Œ€ํ•ด ์ƒ๋Œ€์ ์ธ ์šฐ์œ„๋ฅผ ์ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ธฐ์—…์˜ ์ธ์„ผํ‹ฐ๋ธŒ ๋ฌธ์ œ๋„ ๊ฐ„๊ณผํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค. ๊ธฐ์—…์€ ๋ฏธ๋ž˜์˜ ์ค‘๊ฐ„ ๊ด€๋ฆฌ์ž๋‚˜ ์ˆ™๋ จ๋œ ์ธ๋ ฅ์„ ํ™•๋ณดํ•˜๊ธฐ ์œ„ํ•ด ์ Š์€ ์ธ์žฌ๋ฅผ ๊ณ ์šฉํ•˜๊ณ  ํ›ˆ๋ จํ•  ํ•„์š”์„ฑ์„ ์ธ์ง€ํ•ฉ๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ์ด๋“ค์ด ๋‹ค๋ฅธ ํšŒ์‚ฌ๋กœ ์ด์งํ•  ๊ฐ€๋Šฅ์„ฑ ๋•Œ๋ฌธ์— ์ถฉ๋ถ„ํ•œ ํˆฌ์ž๋ฅผ ํ•˜์ง€ ์•Š๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์‚ฌํšŒ ์ „์ฒด์ ์ธ ๊ด€์ ์—์„œ ํ•„์š”ํ•œ ์ Š์€ ์ธ์žฌ ์œก์„ฑ ์ˆ˜์ค€๊ณผ ๊ฐœ๋ณ„ ๊ธฐ์—…์˜ ์ธ์„ผํ‹ฐ๋ธŒ ์‚ฌ์ด์— ๋ถˆ์ผ์น˜๊ฐ€ ๋ฐœ์ƒํ•จ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค.

AI, ํ•™์Šต์˜ ๋„๊ตฌ๋กœ: โ€˜์ฆ๊ฐ•(Augmentation)โ€˜์˜ ๊ฐ€๋Šฅ์„ฑ

์ฐฌ๋“œ๋ผ ๋ฐ•์‚ฌ๋Š” AI๊ฐ€ ๋…ธ๋™ ์‹œ์žฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•ด ๋น„๊ด€์ ์ธ ์‹œ๊ฐ๋งŒ ์žˆ๋Š” ๊ฒƒ์€ ์•„๋‹ˆ๋ผ๊ณ  ๊ฐ•์กฐํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Š” AI๊ฐ€ โ€˜์ž๋™ํ™”(automation)โ€˜๋ฅผ ํ†ตํ•ด ์ธ๊ฐ„์˜ ์ผ์ž๋ฆฌ๋ฅผ ๋Œ€์ฒดํ•˜๊ธฐ๋ณด๋‹ค๋Š”, โ€˜์ฆ๊ฐ•(augmentation)โ€˜์„ ํ†ตํ•ด ์ธ๊ฐ„์˜ ๋Šฅ๋ ฅ์„ ํ™•์žฅํ•˜๋Š” ๋„๊ตฌ๋กœ ํ™œ์šฉ๋  ๊ฐ€๋Šฅ์„ฑ์— ์ฃผ๋ชฉํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ AI๋ฅผ โ€˜ํ•™์Šต ๋„๊ตฌโ€™๋กœ ํ™œ์šฉํ•˜๋Š” ๋ฐฉ์•ˆ์— ํฐ ๊ธฐ๋Œ€๋ฅผ ๊ฑธ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

AI๊ฐ€ ๊ฐœ์ธ ๋งž์ถคํ˜• ํ•™์Šต์„ ์ œ๊ณตํ•˜๊ณ  ํ•™์Šต ๊ณผ์ •์„ ๊ฐ€์†ํ™”ํ•œ๋‹ค๋ฉด, ์‚ฌ๋žŒ๋“ค์€ ์ƒˆ๋กœ์šด ๊ธฐ์ˆ ์„ ๋” ๋น ๋ฅด๊ณ  ํšจ๊ณผ์ ์œผ๋กœ ์Šต๋“ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. ์ด๋Š” ์ง์—… ๊ฐ„ ์ „ํ™˜์„ ํ›จ์”ฌ ์šฉ์ดํ•˜๊ฒŒ ๋งŒ๋“ค์–ด ๋…ธ๋™ ์‹œ์žฅ์˜ ์œ ์—ฐ์„ฑ์„ ๋†’์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ์Šคํƒ€ํŠธ์—… ์ฐฝ์—…์ž๊ฐ€ AI ๋„๊ตฌ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ณผ๊ฑฐ์—๋Š” ์ „๋ฌธ ์ง€์‹์ด ์—†์–ด ์—„๋‘๋„ ๋‚ด์ง€ ๋ชปํ–ˆ๋˜ ๋‹ค์–‘ํ•œ ์—…๋ฌด๋ฅผ ์ง์ ‘ ์ฒ˜๋ฆฌํ•˜๋ฉฐ ํŒ€์˜ ์ƒ์‚ฐ์„ฑ์„ ๊ทน๋Œ€ํ™”ํ•˜๋Š” ๊ฒƒ์ด ์ฆ๊ฐ•์˜ ์ข‹์€ ์˜ˆ์‹œ์ž…๋‹ˆ๋‹ค.

์ฐฌ๋“œ๋ผ ๋ฐ•์‚ฌ๋Š” ๊ฐœ์ธ์ ์œผ๋กœ AI๋ฅผ ์ˆ˜ํ•™ ๋ถ„์•ผ์—์„œ ํ™œ์šฉํ•˜๋ฉฐ ์ž์‹ ์˜ ์—…๋ฌด๋ฅผ ์ฆ๊ฐ•ํ•˜๊ณ  ์žˆ๋‹ค๊ณ  ๋ฐํž™๋‹ˆ๋‹ค. ๋ณต์žกํ•œ ๋ชจ๋ธ์„ ์ž‘์„ฑํ•˜๊ฑฐ๋‚˜ ์ฆ๋ช…ํ•˜๋Š” ๊ณผ์ •์—์„œ AI์˜ ๋„์›€์„ ๋ฐ›์•„ ์ •ํ™•์„ฑ์„ ๋น ๋ฅด๊ฒŒ ๊ฒ€์ฆํ•จ์œผ๋กœ์จ ์ž์‹ ์˜ ์ž‘์—… ํšจ์œจ์„ฑ์„ ๋†’์ด๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋ฐ˜๋ฉด, ๊ธ€์“ฐ๊ธฐ์—๋Š” AI๋ฅผ ๊ฑฐ์˜ ์‚ฌ์šฉํ•˜์ง€ ์•Š๋Š”๋ฐ, ์ด๋Š” ๊ธ€์“ฐ๊ธฐ๊ฐ€ ๊ทธ์—๊ฒŒ โ€˜์ƒ๊ฐ์„ ์ •๋ฆฌํ•˜๊ณ  ๋ฌธ์ œ๋ฅผ ๊นŠ์ด ์ดํ•ดํ•˜๋Š”โ€™ ๊ณ ์œ ํ•œ ๊ณผ์ •์ด๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.

์ธ๊ฐ„ ๊ณ ์œ ์˜ ์˜์—ญ: ์ „๋žต์  ์‚ฌ๊ณ ์™€ ์‚ฌํšŒ์  ์ƒํ˜ธ์ž‘์šฉ

๋ฌผ๋ก  AI์˜ ๋Šฅ๋ ฅ์—๋„ ๋‹จ๊ธฐ ๋ฐ ์ค‘๊ธฐ์ ์œผ๋กœ๋Š” ๋ถ„๋ช…ํ•œ ํ•œ๊ณ„๊ฐ€ ์กด์žฌํ•ฉ๋‹ˆ๋‹ค. ์ฐฌ๋“œ๋ผ ๋ฐ•์‚ฌ๋Š” AI๊ฐ€ ๋Œ€์ฒดํ•˜๊ธฐ ์–ด๋ ค์šด ์„ธ ๊ฐ€์ง€ ํ•ต์‹ฌ ์˜์—ญ์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค.

  1. ๋ฌผ๋ฆฌ์  ์ž‘์—…(Physical tasks): ๋กœ๋ด‡ ๊ณตํ•™์˜ ํš๊ธฐ์ ์ธ ๋ฐœ์ „์ด ์—†๋Š” ํ•œ ์ธ๊ฐ„์˜ ์„ฌ์„ธํ•˜๊ณ  ๋ณต์žกํ•œ ๋ฌผ๋ฆฌ์  ์ž‘์—…์€ ๋Œ€์ฒดํ•˜๊ธฐ ์–ด๋ ต์Šต๋‹ˆ๋‹ค.
  2. ์ „๋žต์  ์‚ฌ๊ณ (Strategic thinking) ๋ฐ ๋ฐฉํ–ฅ ์ œ์‹œ: ๋ฌด์—‡์„ ํ•ด์•ผ ํ• ์ง€, ์–ด๋–ค ๋ชฉํ‘œ๋ฅผ ์ถ”๊ตฌํ•ด์•ผ ํ• ์ง€์— ๋Œ€ํ•œ ํฐ ๊ทธ๋ฆผ์„ ๊ทธ๋ฆฌ๊ณ  ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•˜๋Š” ๋Šฅ๋ ฅ์€ ์ธ๊ฐ„ ๊ณ ์œ ์˜ ์˜์—ญ์ž…๋‹ˆ๋‹ค.
  3. ์‚ฌํšŒ์  ์ƒํ˜ธ์ž‘์šฉ(Social interaction): ๋ณต์žกํ•œ ์ธ๊ฐ„ ๊ด€๊ณ„ ์†์—์„œ ๊ณต๊ฐํ•˜๊ณ  ์„ค๋“ํ•˜๋ฉฐ ํ˜‘๋ ฅํ•˜๋Š” ๋Šฅ๋ ฅ์€ AI๊ฐ€ ๋ชจ๋ฐฉํ•˜๊ธฐ ์–ด๋ ต์Šต๋‹ˆ๋‹ค.

ํŠนํžˆ โ€˜์ „๋žต์  ์‚ฌ๊ณ โ€™์˜ ์ค‘์š”์„ฑ์€ ๋”์šฑ ์ปค์งˆ ๊ฒƒ์œผ๋กœ ์ „๋ง๋ฉ๋‹ˆ๋‹ค. ๋ฏธ๋ž˜์—๋Š” AI ์—์ด์ „ํŠธ์—๊ฒŒ ๊ตฌํ˜„ํ•ด์•ผ ํ•  ์‚ฌํ•ญ์„ ์ง€์‹œํ•˜๊ณ  ์•ˆ๋‚ดํ•˜๋Š” ์—ญํ• ์ด ์ค‘์š”ํ•ด์งˆ ๊ฒƒ์ด๋ฉฐ, ์ด๋Š” ๊ธฐ์—… ๋‚ด์—์„œ ๊ด€๋ฆฌ์ž๊ฐ€ ์ˆ˜ํ–‰ํ•˜๋Š” ์—…๋ฌด์™€ ์œ ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ๋ฌด์—‡์„ ๋งŒ๋“ค๊ณ , ๋ฌด์—‡์„ ๊ตฌํ˜„ํ•  ๊ฒƒ์ธ์ง€์— ๋Œ€ํ•œ ์ธ๊ฐ„์˜ ๊ฐ€์น˜ ํŒ๋‹จ๊ณผ ์„ ํ˜ธ ํ‘œํ˜„, ๊ทธ๋ฆฌ๊ณ  ๊นŠ์€ ์„ฑ์ฐฐ์„ ํ†ตํ•œ ์˜์‚ฌ๊ฒฐ์ •์€ AI๊ฐ€ ์‰ฝ๊ฒŒ ์ž๋™ํ™”ํ•  ์ˆ˜ ์—†๋Š” ๋ถ€๋ถ„์ž…๋‹ˆ๋‹ค.

์—ญ์‚ฌ์  ๊ตํ›ˆ๊ณผ AI์˜ ๋…ํŠน์„ฑ

AI์˜ ๋“ฑ์žฅ์€ ๊ณผ๊ฑฐ์˜ ๊ธฐ์ˆ  ํ˜๋ช…๊ณผ ๋น„๊ต๋˜๊ณค ํ•ฉ๋‹ˆ๋‹ค. ์ฐฌ๋“œ๋ผ ๋ฐ•์‚ฌ๋Š” ๋‘ ๊ฐ€์ง€ ์ฃผ์š” ์—ญ์‚ฌ์  ์‚ฌ๋ก€๋ฅผ ๋“ค์–ด AI์˜ ํŠน์„ฑ์„ ๋ถ„์„ํ•ฉ๋‹ˆ๋‹ค.

  • ์‚ฐ์—…ํ˜๋ช…(Industrial Revolution): ๋Ÿฌ๋‹ค์ดํŠธ ์šด๋™(Luddite movement)์œผ๋กœ ๋Œ€ํ‘œ๋˜๋“ฏ์ด, ์‚ฐ์—…ํ˜๋ช… ๋•Œ๋Š” ์ˆ™๋ จ๋œ ์ง๋ฌผ ๋…ธ๋™์ž ๋“ฑ ๊ณ ๋„๋กœ ์ˆ™๋ จ๋œ ๋…ธ๋™์ž๋“ค์ด ์ƒˆ๋กœ์šด ๊ธฐ๊ณ„ ๊ธฐ์ˆ ๋กœ ์ธํ•ด ์ผ์ž๋ฆฌ๋ฅผ ์žƒ๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์•˜์Šต๋‹ˆ๋‹ค. AI ์—ญ์‹œ ์ง€์‹ ๋…ธ๋™์ž๋“ค์—๊ฒŒ ๋” ํฐ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ์ ์—์„œ ์œ ์‚ฌํ•œ ์ธก๋ฉด์ด ์žˆ์Šต๋‹ˆ๋‹ค.
  • ์ „๊ธฐ ๋ฐ IT ํ˜๋ช…(Electricity and IT Revolution): 20์„ธ๊ธฐ ์ „๋ฐ˜์— ๊ฑธ์ณ ์ง„ํ–‰๋œ ์ด ํ˜๋ช…๋“ค์€ ์ฃผ๋กœ ์ค‘๊ฐ„ ์ˆ™๋ จ๋„ ๋˜๋Š” ์ €์ˆ™๋ จ๋„ ์—…๋ฌด์— ๋” ํฐ ์˜ํ–ฅ์„ ๋ฏธ์ณค์œผ๋ฉฐ, ๊ณ ๋„๋กœ ์ˆ™๋ จ๋œ ์ „๋ฌธ๊ฐ€๋“ค์ด ๊ธฐ์ˆ  ๋ฐœ์ „์˜ ํ˜œํƒ์„ ํฌ๊ฒŒ ๋ˆ„๋ ธ์Šต๋‹ˆ๋‹ค.

AI๊ฐ€ ์ด ๋‘ ๊ฐ€์ง€ ์‚ฌ๋ก€ ์ค‘ ์–ด๋А ์ชฝ์— ๋” ๊ฐ€๊นŒ์šธ์ง€๋Š” ์•„์ง ๋ฏธ์ง€์ˆ˜์ž…๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ AI๊ฐ€ ๊ณผ๊ฑฐ ๊ธฐ์ˆ ๊ณผ ๋‹ค๋ฅธ ๋…ํŠนํ•œ ์ ์€ ๋ฐ”๋กœ ๋Šฅ๋ ฅ ํ–ฅ์ƒ ์†๋„์ž…๋‹ˆ๋‹ค. ๋ถˆ๊ณผ 3๋…„ ์ „๊ณผ ๋น„๊ตํ•ด๋„ AI์˜ ์ˆ˜ํ–‰ ๋Šฅ๋ ฅ์€ ๊ฒฝ์ด๋กœ์šธ ์ •๋„๋กœ ๋ฐœ์ „ํ–ˆ์œผ๋ฉฐ, ์ƒˆ๋กœ ์ƒ๊ฒจ๋‚˜๋Š” ์—…๋ฌด๋‚˜ ๊ธฐ์กด ์—…๋ฌด์˜ ์ƒˆ๋กœ์šด ์ˆ˜์š”๋ฅผ ์ธ๊ฐ„์ด ๋”ฐ๋ผ์žก๊ธฐ ์ „์— AI๊ฐ€ ์Šค์Šค๋กœ ์ˆ˜ํ–‰ํ•˜๊ฒŒ ๋  ๊ฐ€๋Šฅ์„ฑ๋„ ๋ฐฐ์ œํ•  ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์ด AI๊ฐ€ ์ด์ „ ๊ธฐ์ˆ ๋“ค๊ณผ ๊ทผ๋ณธ์ ์œผ๋กœ ๋‹ค๋ฅผ ์ˆ˜ ์žˆ๋Š” ์ง€์ ์ž…๋‹ˆ๋‹ค.

๋ฏธ๋ž˜๋ฅผ ์œ„ํ•œ ์กฐ์–ธ: โ€˜๊ฒฉ์žโ€™ํ˜• ๊ฒฝ๋ ฅ์œผ๋กœ์˜ ์ „ํ™˜

์ฐฌ๋“œ๋ผ ๋ฐ•์‚ฌ๋Š” ์ Š์€ ์„ธ๋Œ€์™€ ํ•™์ƒ๋“ค์—๊ฒŒ AI ์‹œ๋Œ€๋ฅผ ํ—ค์ณ๋‚˜๊ฐˆ ์‹ค์งˆ์ ์ธ ์กฐ์–ธ์„ ๊ฑด๋„ต๋‹ˆ๋‹ค.

์ฒซ์งธ, AI ๋„๊ตฌ๋ฅผ ์ ๊ทน์ ์œผ๋กœ ์‚ฌ์šฉํ•˜๊ณ  ํ™œ์šฉ๋ฒ•์„ ์ตํžˆ์„ธ์š”. AI์™€ ํ•จ๊ป˜ ๊ตฌ์ถ•ํ•˜๊ณ  ์ž‘์—…ํ•˜๋Š” ๊ณผ์ •์— ์ต์ˆ™ํ•ด์ง€๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค. ๋‘˜์งธ, ์ „๋žต์  ์‚ฌ๊ณ  ๋Šฅ๋ ฅ์„ ํ‚ค์šฐ๋Š” ๋ฐ ์ง‘์ค‘ํ•˜์„ธ์š”. AI๊ฐ€ ์ž˜ํ•˜์ง€ ๋ชปํ•˜๋Š” ์˜์—ญ, ์ฆ‰ ์ธ๊ฐ„์ด ๋” ํฐ ๊ฐ€์น˜๋ฅผ ๋”ํ•  ์ˆ˜ ์žˆ๋Š” ์˜์—ญ์ด ๋ฌด์—‡์ธ์ง€ ํŒŒ์•…ํ•˜๊ณ , AI๋ฅผ ๊ฐ€์žฅ ํšจ๊ณผ์ ์œผ๋กœ ํ™œ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๊ณ ๋ฏผํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์นธ ์•„์นด๋ฐ๋ฏธ(Khan Academy)์™€ ๊ฐ™์ด AI๊ฐ€ ๋‹จ์ˆœํžˆ ์ •๋‹ต์„ ์ฃผ๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ, ๋‹ต์„ ์ฐพ์•„๊ฐ€๋Š” ๊ณผ์ •์„ ๋•๋Š” ๊ต์œก ๋ฐฉ์‹์ด ์ข‹์€ ์˜ˆ์‹œ์ž…๋‹ˆ๋‹ค.

๊ถ๊ทน์ ์œผ๋กœ ์ฐฌ๋“œ๋ผ ๋ฐ•์‚ฌ๋Š” AI๊ฐ€ ํ•™์Šต ๋Šฅ๋ ฅ์„ ํ˜์‹ ์ ์œผ๋กœ ํ–ฅ์ƒ์‹œํ‚จ๋‹ค๋ฉด, ์‚ฌ๋žŒ๋“ค์€ ์ง์—… ์ˆ˜์š” ๋ณ€ํ™”์— ๋”ฐ๋ผ ํ›จ์”ฌ ์‰ฝ๊ฒŒ ๋‹ค๋ฅธ ์ง์—…์œผ๋กœ ์ „ํ™˜ํ•  ์ˆ˜ ์žˆ๋Š” ์„ธ์ƒ์ด ์˜ฌ ๊ฒƒ์ด๋ผ๊ณ  ๊ธฐ๋Œ€ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” ๊ธฐ์กด์˜ ์ˆ˜์ง์ ์ธ โ€˜๊ฒฝ๋ ฅ ์‚ฌ๋‹ค๋ฆฌโ€™ ๋ชจ๋ธ์„ ๋ฒ—์–ด๋‚˜, ๋‹ค์–‘ํ•œ ์ง์—…๊ณผ ๊ธฐ์ˆ ์„ ์œ ์—ฐํ•˜๊ฒŒ ์˜ค๊ฐˆ ์ˆ˜ ์žˆ๋Š” โ€˜๊ฒฝ๋ ฅ ๊ฒฉ์ž(career lattice)โ€™ ๋ชจ๋ธ๋กœ์˜ ์ „ํ™˜์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ณ€ํ™”๋Š” ๋…ธ๋™ ์‹œ์žฅ์˜ ์ž ์žฌ๋ ฅ์„ ๊ทน๋Œ€ํ™”ํ•˜๊ณ  ๊ธฐ์ˆ  ๋ณ€ํ™”๋กœ ์ธํ•œ ์œ„ํ—˜์„ ์ค„์ด๋Š” ๋ฐ ๊ธฐ์—ฌํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.

๋งˆ์ง€๋ง‰์œผ๋กœ ์ˆ˜ํ•™์ž ์ผ„ ์˜ค๋…ธ(Ken Ono) ๊ต์ˆ˜์˜ ์ธ์šฉ๊ตฌ๋Š” AI ์‹œ๋Œ€์— ์šฐ๋ฆฌ๊ฐ€ ๋˜์ ธ์•ผ ํ•  ์งˆ๋ฌธ์˜ ๋ณธ์งˆ์„ ๊ฟฐ๋šซ์Šต๋‹ˆ๋‹ค. โ€œ์ฑ—GPT๊ฐ€ ํ‹€๋ฆด ์งˆ๋ฌธ์„ ์งœ๋Š” ๋ฐ ์ฒ˜์Œ์œผ๋กœ ์–ด๋ ค์›€์„ ๊ฒช์—ˆ์„ ๋•Œ, ์ €๋Š” ์ขŒ์ ˆํ–ˆ์Šต๋‹ˆ๋‹ค. โ€˜์–ด๋–ป๊ฒŒ AI๋ณด๋‹ค ์•ž์„œ๋‚˜๊ฐˆ ์ˆ˜ ์žˆ์„๊นŒ?โ€˜๋ผ๊ณ  ์ƒ๊ฐํ–ˆ์ฃ . ํ•˜์ง€๋งŒ ์ €๋Š” ๊ทธ๊ฒƒ์ด ์ž˜๋ชป๋œ ์งˆ๋ฌธ์ด๋ผ๊ณ  ์ƒ๊ฐํ•ฉ๋‹ˆ๋‹ค.โ€ ์šฐ๋ฆฌ๋Š” AI๋ฅผ ์ด๊ธฐ๋ ค ํ•˜๊ธฐ๋ณด๋‹ค, AI์™€ ํ˜‘๋ ฅํ•˜์—ฌ ์ธ๊ฐ„ ๊ณ ์œ ์˜ ์ฐฝ์˜์„ฑ, ํ˜ธ๊ธฐ์‹ฌ, ๊ทธ๋ฆฌ๊ณ  ๊ฒฝ์ด๋กœ์›€์„ ์œ ์ง€ํ•˜๋ฉฐ ์ƒˆ๋กœ์šด ๊ฐ€์น˜๋ฅผ ์ฐฝ์ถœํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๋ชจ์ƒ‰ํ•ด์•ผ ํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.


โ€œWhy Claude Feels Different (And What That Means for AI) | The a16z Showโ€ โ€” a16z ๊ธฐ๋ฐ˜ ๊ธฐ์‚ฌ ์›๋ณธ ์˜์ƒ ๋ณด๊ธฐ

ํด๋กœ๋“œ, ์™œ ํŠน๋ณ„ํ•œ๊ฐ€? AI ์‹œ๋Œ€, ์ธ๊ฐ„๊ณผ ๊ธฐ์ˆ  ๊ทธ๋ฆฌ๊ณ  ๊ฐ€์†ํ™”๋˜๋Š” ์‚ถ์˜ ์˜๋ฏธ

๊ธฐ์ˆ ์˜ ๋ฐœ์ „ ์†๋„๋Š” ๋ˆˆ๋ถ€์‹œ๊ฒŒ ๋น ๋ฅด์ง€๋งŒ, ์šฐ๋ฆฌ๋Š” ๊ณผ์—ฐ ์ด ์†๋„์— ๋ฐœ๋งž์ถฐ ์ง„ํ™”ํ•˜๊ณ  ์žˆ์„๊นŒ์š”? a16z ์‡ผ์—์„œ ๋ฌธํ™” ํ‰๋ก ๊ฐ€์ด์ž ๊ธฐ์ˆ  ์ „๋ฌธ๊ฐ€์ธ ์‹œ๊ทธ๋„(Signal)์€ ์ตœ๊ทผ AI, ํŠนํžˆ ํด๋กœ๋“œ(Claude)์™€ ๊ฐ™์€ ๋ชจ๋ธ๋“ค์ด ์šฐ๋ฆฌ์—๊ฒŒ ์ฃผ๋Š” โ€˜๋‹ค๋ฆ„โ€™์— ์ฃผ๋ชฉํ•˜๋ฉฐ, ๊ธฐ์ˆ , ๋ฌธํ™”, ๊ทธ๋ฆฌ๊ณ  ์ธ๊ฐ„์ด๋ผ๋Š” ์„ธ ๊ฐ€์ง€ ์ถ•์ด ๊ต์ฐจํ•˜๋Š” ์ง€์ ์—์„œ ์šฐ๋ฆฌ๊ฐ€ ์–ด๋””์— ์„œ ์žˆ๋Š”์ง€ ์‹ฌ๋„ ๊นŠ์€ ํ†ต์ฐฐ์„ ์ œ์‹œํ–ˆ์Šต๋‹ˆ๋‹ค.

ํ†ต์ œ ๋ถˆ๋Šฅ์˜ ๊ฐ€์†: ๊ธฐ์ˆ , ๋ฌธํ™”, ๊ทธ๋ฆฌ๊ณ  ์ธ๊ฐ„

์‹œ๊ทธ๋„์€ ํ˜„์žฌ์˜ ๋ณ€ํ™” ์†๋„๋ฅผ โ€œ์‹ฌ์‹œํ‹ฐ(Sim City) ๊ฒŒ์ž„์—์„œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์†๋„๋ฅผ 100๋ฐฐ๋กœ ๋†’์ธ ๊ฒƒ๋งŒ ๊ฐ™๋‹คโ€๊ณ  ๋น„์œ ํ•˜๋ฉฐ, ์ง€๋‚œ 2~3๋…„๊ฐ„ ์šฐ๋ฆฌ๊ฐ€ ๊ฒฝํ—˜ํ•œ ๊ฐ€์†ํ™”๋œ ๋ณ€ํ™”์— ๋Œ€ํ•œ ๋†€๋ผ์›€์„ ํ‘œํ˜„ํ•ฉ๋‹ˆ๋‹ค. ๋ถˆ๊ณผ ํ•œ ๋‹ฌ ์ „์˜ ์ผ์ด 10๋…„ ์ „ ์ผ์ฒ˜๋Ÿผ ๋А๊ปด์งˆ ์ •๋„๋กœ ์„ธ์ƒ์€ ๋น ๋ฅด๊ฒŒ ์›€์ง์ด๊ณ  ์žˆ์œผ๋ฉฐ, ๊ธฐ์ˆ ์€ ์ด ์—”์ง„์„ ์›€์ง์ด๋Š” ๊ฐ•๋ ฅํ•œ ์—ฐ๋ฃŒ ์—ญํ• ์„ ํ•ฉ๋‹ˆ๋‹ค.

๊ทธ๋Š” ๊ธฐ์ˆ  ๋ฐœ์ „์˜ ํ๋ฆ„์„ ์„ธ ๊ฐ€์ง€ ์ฃผ์š” ์˜์—ญ์œผ๋กœ ๋‚˜๋ˆ•๋‹ˆ๋‹ค. ๋ฐ”๋กœ ๊ธฐ์ˆ (Technology), ์ง‘๋‹จ์ ์ธ ๋ฌธํ™”(Culture), ๊ทธ๋ฆฌ๊ณ  ์ธ๋ฅ˜ ์ข…์œผ๋กœ์„œ์˜ ๊ฐœ์ธ์ ์ธ ๋ฐœ์ „(Individual Progress)์ž…๋‹ˆ๋‹ค. ๊ธฐ์ˆ ์€ ๋Š์ž„์—†์ด ๊ฐœ์„ ๋˜๊ณ , ๋ฌธํ™”๋Š” ๋ณ€ํ™”ํ•˜๊ณ  ์žˆ์ง€๋งŒ, ๊ณผ์—ฐ ์ธ๊ฐ„์ธ ์šฐ๋ฆฌ๋Š” ์–ด๋””์— ์„œ ์žˆ์„๊นŒ์š”? ์‹œ๊ทธ๋„์€ โ€œ์šฐ๋ฆฌ๋Š” ์˜์ ์œผ๋กœ ๋” ์„ฑ์ˆ™ํ•ด์กŒ๋Š”๊ฐ€, ์•„๋‹ˆ๋ฉด ์•„์ดํฐ์„ ๋“  ๋„ค์•ˆ๋ฐ๋ฅดํƒˆ์ธ์— ๋ถˆ๊ณผํ•œ๊ฐ€?โ€๋ผ๋Š” ์งˆ๋ฌธ์„ ๋˜์ง€๋ฉฐ, ๊ธฐ์ˆ ์ด ์ธ๋ฅ˜๊ฐ€ ์Šค์Šค๋กœ๋ฅผ ๋” ์ž˜ ์ดํ•ดํ•˜๊ณ  ์ง€์ , ์˜์ , ๊ฐœ์ธ์  ์„ฑ์žฅ์„ ์ด๋ฃจ๋Š” ๋ฐ ๊ธฐ์—ฌํ•ด์•ผ ํ•œ๋‹ค๊ณ  ๊ฐ•์กฐํ•ฉ๋‹ˆ๋‹ค. AI๋Š” ์ด๋ฅผ ์œ„ํ•œ ๊ฐ•๋ ฅํ•œ ๋„๊ตฌ๊ฐ€ ๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๊ทธ ์ž์‹  ์—ญ์‹œ AI๋ฅผ ํ†ตํ•ด ์Šค์Šค๋กœ์˜ ์‚ฌ๊ณ ๋ฐฉ์‹์„ ์ดํ•ดํ•˜๊ณ  ์„ฑ์žฅ์„ ๋•๋Š”๋‹ค๊ณ  ๋งํ•ฉ๋‹ˆ๋‹ค.

ํด๋กœ๋“œ๊ฐ€ ํŠน๋ณ„ํ•˜๊ฒŒ ๋А๊ปด์ง€๋Š” ์ด์œ : AI์— ์˜ํ˜ผ์„ ๋ถˆ์–ด๋„ฃ๋‹ค

์ด๋ฒˆ ๋Œ€ํ™”์˜ ํ•ต์‹ฌ ์ฃผ์ œ ์ค‘ ํ•˜๋‚˜๋Š” ํด๋กœ๋“œ์™€ ๊ฐ™์€ ์ตœ์‹  AI ๋ชจ๋ธ์ด ์ฃผ๋Š” ๋…ํŠนํ•œ โ€˜๋А๋‚Œโ€™์ž…๋‹ˆ๋‹ค. ์‹œ๊ทธ๋„์€ ํด๋กœ๋“œ๊ฐ€ ๋‹ค๋ฅธ AI ๋ชจ๋ธ๋“ค๊ณผ ๋‹ฌ๋ฆฌ โ€œ์žฅ์ธ์˜ ์†๊ธธ์ด ๋А๊ปด์ง€๋Š”(artisan), ๋งˆ์น˜ ์˜ํ˜ผ์„ ๊ฐ€์ง„ ๋“ฏํ•œ ๋А๋‚Œโ€์„ ์ค€๋‹ค๊ณ  ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. ๋‹ค๋ฅธ ๋ชจ๋ธ๋“ค์ด ๋‹ค์†Œ ๋กœ๋ด‡ ๊ฐ™๊ฑฐ๋‚˜ ์‹ค์šฉ์ ์ธ(utilitarian) ๋А๋‚Œ์„ ์ฃผ๋Š” ๊ฒƒ๊ณผ๋Š” ๋Œ€์กฐ์ ์ด๋ผ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.

๊ทธ๋Š” ์‹ฌ์Šจ ๊ฐ€์กฑ ์—ํ”ผ์†Œ๋“œ์—์„œ ๋ฐ”ํŠธ๊ฐ€ ๋ฐ€ํ•˜์šฐ์Šค์—๊ฒŒ ์˜ํ˜ผ์„ 5๋‹ฌ๋Ÿฌ์— ํŒŒ๋Š” ์žฅ๋ฉด์„ ์ธ์šฉํ•˜๋ฉฐ, ์˜ํ˜ผ์˜ ์กด์žฌ ์œ ๋ฌด๊ฐ€ ์ธ๊ฐ„ ์กด์žฌ์˜ ๋ณธ์งˆ์„ ํƒ๊ตฌํ•˜๋Š” ์ค‘์š”ํ•œ ์งˆ๋ฌธ์ž„์„ ์ƒ๊ธฐ์‹œํ‚ต๋‹ˆ๋‹ค. ํด๋กœ๋“œ์™€์˜ ๋Œ€ํ™”๋Š” ๋œ ์•„์ฒจํ•˜๊ณ (less sycophantic), ์‹ค์ œ ์‚ฌ๋žŒ๊ณผ ๋Œ€ํ™”ํ•˜๋Š” ๋“ฏํ•œ ์ธ์ƒ์„ ์ฃผ๋ฉฐ, ๋งˆ์น˜ ์ธ๊ฒฉํ™”๋œ ์กด์žฌ์ฒ˜๋Ÿผ ๋А๊ปด์ง„๋‹ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ์˜ ์—ฌ๋™์ƒ์ด ๋ช‡ ๋…„๊ฐ„ ์ฑ—GPT(ChatGPT)๋ฅผ ์‚ฌ์šฉํ•˜๋‹ค๊ฐ€ ํด๋กœ๋“œ๋กœ ๊ฐˆ์•„ํƒ”๋‹ค๋Š” ์ผํ™”๋Š” ์ด๋Ÿฌํ•œ ํด๋กœ๋“œ์˜ ๋งค๋ ฅ์ด ์ผ๋ฐ˜ ์‚ฌ์šฉ์ž๋“ค์—๊ฒŒ๊นŒ์ง€ ํ™•์‚ฐ๋˜๊ณ  ์žˆ์Œ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์‹œ๊ทธ๋„์€ ํด๋กœ๋“œ์˜ ๋งˆ์ผ€ํŒ…๊ณผ ์Šคํ† ๋ฆฌํ…”๋ง์ด โ€œ๋ฏธํ•™์ ์œผ๋กœ ๋‹ค์Œ ๋‹จ๊ณ„(next level)โ€œ์— ๋„๋‹ฌํ–ˆ์œผ๋ฉฐ, ์ข‹์€ ์ œํ’ˆ์„ ๋งŒ๋“ค๊ณ  ์นญ์ฐฌํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค๊ณ  ๋ง๋ถ™์ž…๋‹ˆ๋‹ค.

AI ํ™œ์šฉ์˜ ํ˜„์ฃผ์†Œ์™€ ๋ฏธ๋ž˜ ์ธํ„ฐํŽ˜์ด์Šค: โ€˜์•ฐ๋น„์–ธํŠธ AIโ€™์˜ ๋„๋ž˜

ํ˜„์žฌ ๋Œ€๋‹ค์ˆ˜์˜ ์‚ฌ๋žŒ๋“ค์€ AI์˜ ๊ธฐ๋ณธ์ ์ธ ๊ธฐ๋Šฅ๋งŒ์„ ํ™œ์šฉํ•˜๊ณ  ์žˆ์„ ๋ฟ, ๊ทธ ์ž ์žฌ๋ ฅ์„ ์ถฉ๋ถ„ํžˆ ์‚ฌ์šฉํ•˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋‹ค๊ณ  ์‹œ๊ทธ๋„์€ ์ง€์ ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Š” ์ด๋ฅผ โ€œ์ธ๊ณต์ง€๋Šฅ ํ™œ์šฉ์˜ โ€˜์„๊ธฐ ์‹œ๋Œ€(stone ages)โ€˜โ€œ์— ๋น„์œ ํ•˜๋ฉฐ, ์ˆ˜์‹ญ์–ต ๋ช…์ด AI๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ๋Œ€๋ถ€๋ถ„์ด ๋งค์šฐ ๊ธฐ๋ณธ์ ์ธ ์ž‘์—…์— ๊ทธ์น˜๊ณ  ์žˆ๋‹ค๊ณ  ๋งํ•ฉ๋‹ˆ๋‹ค. ์˜คํ”ˆAI(OpenAI)๊ฐ€ ์Šค์Šค๋กœ ๊ฐ€์žฅ ํฐ ๊ณผ์ œ๋กœ ๊ผฝ์€ ๊ฒƒ ์—ญ์‹œ โ€œ๋ชจ๋ธ์˜ ์ž ์žฌ๋ ฅ์„ ๋” ์‰ฝ๊ฒŒ ์ ‘๊ทผํ•˜๊ณ  ์œ ์šฉํ•˜๊ฒŒ ๋งŒ๋“œ๋Š” ๊ฒƒโ€์ž…๋‹ˆ๋‹ค.

๋ฏธ๋ž˜์˜ AI ์ธํ„ฐํŽ˜์ด์Šค์— ๋Œ€ํ•ด ์‹œ๊ทธ๋„์€ ์ฑ—๋ด‡๊ณผ์˜ ๋‹จ์ˆœํ•œ ๋Œ€ํ™”๋ฅผ ๋„˜์–ด์„  โ€œ์•ฐ๋น„์–ธํŠธ AI(Ambient AI)โ€ ๊ฐœ๋…์„ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” AI๊ฐ€ ๋งˆ์น˜ ๊ณต๊ธฐ์ฒ˜๋Ÿผ ์กด์žฌํ•˜๋ฉฐ ์šฐ๋ฆฌ์˜ ์ผ์ƒ, ์ง‘, ์ง์žฅ์— ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ์Šค๋ฉฐ๋“œ๋Š” ํ˜•ํƒœ๋ฅผ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. ์˜ํ™” <๊ทธ๋…€(Her)>์—์„œ์ฒ˜๋Ÿผ AI๊ฐ€ ์—ํ…Œ๋ฅด์ ์ธ ์กด์žฌ(ethereal entity)๋กœ ๊ธฐ๋Šฅํ•˜๋ฉฐ, ํ•„์š”ํ•œ ์ˆœ๊ฐ„์— ์ ์ ˆํ•œ ์ •๋ณด๋ฅผ ์ œ๊ณตํ•˜๋Š” ๋ฐฉ์‹์ž…๋‹ˆ๋‹ค. ๊ณผ๊ฑฐ ๊ตฌ๊ธ€ ๋‚˜์šฐ(Google Now)๊ฐ€ โ€œ๋ฌด์—‡์„ ๊ฒ€์ƒ‰ํ• ์ง€ ์˜ˆ์ธกํ•˜๋ ค ํ–ˆ๋‹คโ€๋Š” ์ ์—์„œ ์‹œ๋Œ€๋ฅผ ์•ž์„œ๊ฐ”์ง€๋งŒ, ์ง€๊ธˆ์€ AI์™€ ๊ฒฐํ•ฉํ•ด ์—„์ฒญ๋‚œ ์ž ์žฌ๋ ฅ์„ ๊ฐ€์งˆ ์ˆ˜ ์žˆ๋‹ค๊ณ  ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Š” ์•ž์œผ๋กœ AI๊ฐ€ ์šฐ๋ฆฌ ์‚ถ์— ์–ผ๋งˆ๋‚˜ ๊นŠ์ด ์Šค๋ฉฐ๋“ค์ง€, ๊ทธ๋ฆฌ๊ณ  ์šฐ๋ฆฌ์—๊ฒŒ ๋จผ์ € ๋ง์„ ๊ฑธ์–ด์˜ค๋Š” ๋ฐฉ์‹(ํ˜„์žฌ์˜ ํ‘ธ์‹œ ์•Œ๋ฆผ์„ ๋„˜์–ด์„ )์ด ์–ด๋–ป๊ฒŒ ์ง„ํ™”ํ• ์ง€ ์ง€์ผœ๋ณด๋Š” ๊ฒƒ์ด ํฅ๋ฏธ๋กญ๋‹ค๊ณ  ๋งํ•ฉ๋‹ˆ๋‹ค.

AI์˜ ๋Œ€์ค‘์  ์ˆ˜์šฉ๋„๋ฅผ ๋†’์ด๋Š” ๋ฐฉ๋ฒ•: โ€˜์ค‘์š”ํ•œ ๊ฒƒ์„ ์‹ธ๊ฒŒโ€™

๋ฏธ๊ตญ์—์„œ AI์˜ ์ˆœ์ถ”์ฒœ๊ณ ๊ฐ์ง€์ˆ˜(NPS)๊ฐ€ ICE(๋‚ด์—ฐ๊ธฐ๊ด€์ฐจ)๋ณด๋‹ค ๋‚ฎ์„ ์ •๋„๋กœ ์ธ๊ธฐ๊ฐ€ ์—†๋‹ค๋Š” ์—ฐ๊ตฌ ๊ฒฐ๊ณผ์— ๋Œ€ํ•ด ์‹œ๊ทธ๋„์€ AI์— ๋Œ€ํ•œ ๋Œ€์ค‘์˜ ์ธ์‹์„ ๊ฐœ์„ ํ•  ๋ฐฉ๋ฒ•์„ ๋ชจ์ƒ‰ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Š” ํ˜„์žฌ AI ๊ฐœ๋ฐœ์ด โ€œ๋‘๋ ค์›€ ๊ธฐ๋ฐ˜(fear-driven)โ€œ์œผ๋กœ ์ง„ํ–‰๋˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋กœ ์ธํ•ด ๋งŽ์€ ๊ณตํฌ๊ฐ€ ์กฐ์„ฑ๋˜๊ณ  ์žˆ๋‹ค๊ณ  ์ง„๋‹จํ•ฉ๋‹ˆ๋‹ค.

์‹œ๊ทธ๋„์€ AI์˜ NPS๋ฅผ ๋†’์ด๋Š” ๊ฐ€์žฅ ์ข‹์€ ๋ฐฉ๋ฒ•์€ โ€œ์ค‘์š”ํ•œ ๊ฒƒ์„ ๋น ๋ฅด๊ณ  ์ €๋ ดํ•˜๊ฒŒ ๋งŒ๋“œ๋Š” ๊ฒƒ(make important things cheap quickly)โ€œ์ด๋ผ๊ณ  ์ฃผ์žฅํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Š” ๋งˆํฌ ์•ˆ๋“œ๋ ˆ์„ผ(Marc Andreessen)์ด ์ž์ฃผ ์ธ์šฉํ•˜๋Š” ์ฐจํŠธ(ํŠน์ • ์ œํ’ˆ ๊ฐ€๊ฒฉ์€ ์‹ธ์ง€๊ณ , ํŠน์ • ์„œ๋น„์Šค ๊ฐ€๊ฒฉ์€ ๋น„์‹ธ์ง€๋Š” ํ˜„์ƒ)๋ฅผ ์–ธ๊ธ‰ํ•˜๋ฉฐ, ์˜๋ฃŒ, ๊ต์œก, ์ฃผ๊ฑฐ ๋น„์šฉ์ด ๊ณ„์† ์˜ค๋ฅด๋Š” ํ˜„์‹ค์„ ์ง€์ ํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ ์˜๋ฃŒ๋น„์˜ 45%๊ฐ€ ํ–‰์ • ๋น„์šฉ(administration)์ด๋ฉฐ, ๊ต์œก ๋ถ„์•ผ ์—ญ์‹œ ๊ต์ˆ˜๋‚˜ ๊ต์‚ฌ๋ณด๋‹ค ๊ด€๋ฆฌ์ž(administrator) ์ˆ˜๊ฐ€ ํญ๋ฐœ์ ์œผ๋กœ ์ฆ๊ฐ€ํ–ˆ๋‹ค๊ณ  ๊ฐ•์กฐํ•ฉ๋‹ˆ๋‹ค. AI๋Š” ์ด๋Ÿฌํ•œ ํ–‰์ • ์˜ค๋ฒ„ํ—ค๋“œ๋ฅผ ์ค„์—ฌ ์˜๋ฃŒ์™€ ๊ต์œก ๋น„์šฉ์„ ํƒˆ์ธํ”Œ๋ ˆ์ด์…˜(disinflation)์„ ๋„˜์–ด ์‹ค์ œ ๋””ํ”Œ๋ ˆ์ด์…˜(deflation)์œผ๋กœ ๋งŒ๋“ค ์ˆ˜ ์žˆ๋Š” ์ž ์žฌ๋ ฅ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ทธ๋Š” โ€œํ–ฅํ›„ 5๋…„ ์•ˆ์— ์ด ๋‘ ๊ฐ€์ง€๋ฅผ ํ›จ์”ฌ ์ €๋ ดํ•˜๊ฒŒ ๋งŒ๋“œ๋Š” ๊ฒƒ์ด ์šฐ๋ฆฌ ์‚ฐ์—…์˜ โ€˜๋ฌธ์ƒท(moonshot)โ€˜์ด ๋˜์–ด์•ผ ํ•œ๋‹คโ€๊ณ  ์—ญ์„คํ•ฉ๋‹ˆ๋‹ค.

ํ•˜์ง€๋งŒ ์ฃผ๊ฑฐ ๋ฌธ์ œ์ฒ˜๋Ÿผ ๊ธฐ์ˆ ๋กœ ํ•ด๊ฒฐํ•˜๊ธฐ ์–ด๋ ค์šด โ€˜์ง‘๋‹จ ํ–‰๋™ ๋ฌธ์ œ(collective action problem)โ€˜๋„ ์กด์žฌํ•จ์„ ์ธ์ •ํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ, ๋‰ด์š•์ฃผ์—์„œ AI๋ฅผ ํ†ตํ•œ ๊ฑด๊ฐ• ๋ฐ ๊ธˆ์œต ์ž๋ฌธ ์ œ๊ณต์„ ๋ถˆ๋ฒ•ํ™”ํ•˜๋ ค๋Š” ์‹œ๋„์™€ ๊ฐ™์ด, โ€œ๋ณดํ˜ธ๋ผ๋Š” ๋ช…๋ชฉ์œผ๋กœ ํ–‰ํ•ด์ง€๋Š” ํ„ฐ๋ฌด๋‹ˆ์—†๋Š” ์ผ๋“คโ€์ด ์˜คํžˆ๋ ค ๋ณดํ†ต ์‚ฌ๋žŒ๋“ค์˜ ์ ‘๊ทผ์„ฑ์„ ๋ง‰์•„ ์—ญํšจ๊ณผ๋ฅผ ๋‚ณ๋Š” โ€˜์ž์ฑ…๊ณจ(own goals)โ€˜์ด ๋  ์ˆ˜ ์žˆ๋‹ค๊ณ  ๋น„ํŒํ•ฉ๋‹ˆ๋‹ค.

๊ธฐ์ˆ  ๋ฐœ์ „์˜ ๊ทธ๋ฆผ์ž: ๋ถ€์˜ ์ง‘์ค‘๊ณผ ์†Œ์™ธ๊ฐ

์‹œ๊ทธ๋„์€ ๊ธฐ์ˆ  ๋ฐœ์ „์ด ๊ฐ€์ ธ์˜ค๋Š” ์–ด๋‘์šด ๊ทธ๋ฆผ์ž, ์ฆ‰ ๋ถ€์˜ ์ง‘์ค‘๊ณผ ์ด๋กœ ์ธํ•œ ์†Œ์™ธ๊ฐ์— ๋Œ€ํ•ด์„œ๋„ ์ด์•ผ๊ธฐํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Š” ๊ธฐ์ˆ  ๋ถ„์•ผ์— ์ข…์‚ฌํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์ด ๋ˆ„๋ฆฌ๋Š” ํŠน๊ถŒ๊ณผ ๋ถ€์˜ ๋ถˆ๊ท ํ˜•์ด, ๋ณดํ†ต ์‚ฌ๋žŒ๋“ค์ด โ€œ๋’ค์ฒ˜์งˆ ๊ฒƒโ€์ด๋ผ๋Š” ๋ถˆ์•ˆ๊ฐ์„ ๋А๋ผ๊ฒŒ ํ•œ๋‹ค๊ณ  ๋งํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ ๋ฒค์ฒ˜์บํ”ผํƒˆ๋ฆฌ์ŠคํŠธ ํ”ผํ„ฐ ํ‹ธ(Peter Thiel)์ด ์ œ์‹œํ•œ โ€˜๋ฉฑ๋ฒ•์น™(power law)โ€™ ์—ญํ•™์ฒ˜๋Ÿผ, ์ธํ„ฐ๋„ท๊ณผ ๊ธฐ์ˆ ์€ ์†Œ์ˆ˜์˜ ์Šน์ž์—๊ฒŒ ๋ง‰๋Œ€ํ•œ ๋ถ€์™€ ๊ธฐํšŒ๋ฅผ ์ง‘์ค‘์‹œํ‚ค๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์Šต๋‹ˆ๋‹ค.

์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ์•ˆ์œผ๋กœ ์‹œ๊ทธ๋„์€ โ€œ๋ณดํ†ต ์‚ฌ๋žŒ๋“ค์—๊ฒŒ ์˜คํ”ˆAI(OpenAI)์™€ ๊ฐ™์€ AI ๊ธฐ์—…์˜ ์ง€๋ถ„(equity share)์„ ์ œ๊ณตํ•˜๋Š” ๊ฒƒโ€์„ ์ œ์•ˆํ•ฉ๋‹ˆ๋‹ค. ์‚ฌ๋žŒ๋“ค์ด AI์˜ ์„ฑ์žฅ์— ๋Œ€ํ•œ ์†Œ์œ  ์˜์‹(ownership mentality)์„ ๊ฐ€์งˆ ๋•Œ, AI์— ๋Œ€ํ•œ ๊ธ์ •์ ์ธ ์‹œ๊ฐ๊ณผ ๋ฏธ๋ž˜์— ๋Œ€ํ•œ ํฌ๋ง์„ ๊ฐ€์งˆ ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.

AI ์‹œ๋Œ€, ์ฐฝ์—…๊ฐ€๋ฅผ ์œ„ํ•œ ์กฐ์–ธ: ์—ด์ •์„ ์ข‡์•„๋ผ

AI ์‹œ๋Œ€์— ์–ด๋–ค ์ผ์„ ํ•ด์•ผ ํ• ์ง€ ๊ณ ๋ฏผํ•˜๋Š” ์ฐฝ์—…๊ฐ€๋“ค์—๊ฒŒ ์‹œ๊ทธ๋„์€ ๋ช…ํ™•ํ•œ ์กฐ์–ธ์„ ๊ฑด๋„ต๋‹ˆ๋‹ค. โ€œ๊ธฐ์ˆ (AI) ๊ทธ ์ž์ฒด๋ณด๋‹ค โ€˜๋ฌด์—‡์ด ๋‹น์‹ ์„ ์ด๋„๋Š”๊ฐ€?โ€˜์— ์ง‘์ค‘ํ•˜๋ผโ€๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ทธ๋Š” ์ž์‹ ์ด ํˆฌ์ž์ž๋ผ๋ฉด ๊ฐ€์žฅ ์ค‘์š”ํ•˜๊ฒŒ ๋ณผ ์š”์†Œ๋Š” ์ฐฝ์—…๊ฐ€๊ฐ€ ๊ทธ ๋ฌธ์ œ ๊ณต๊ฐ„(problem space)์— ์–ผ๋งˆ๋‚˜ ๊นŠ์ด ํฅ๋ฏธ๋ฅผ ๋А๋ผ๊ณ  ๊ณ„์† ํŒŒ๊ณ ๋“ค ๊ฒƒ์ธ๊ฐ€๋ผ๊ณ  ๋งํ•ฉ๋‹ˆ๋‹ค.

๊ทธ๋Š” ์ธ๋„ ๊ณ ์ „์ธ ๋ฐ”๊ฐ€๋ฐ”๋“œ ๊ธฐํƒ€(Bhagwat Gita)์˜ โ€œ์ˆ˜๊ณ ์˜ ์—ด๋งค์— ๋Œ€ํ•œ ๊ถŒ๋ฆฌ๊ฐ€ ์—†๋‹ค(youโ€™re not entitled to the fruits of your labor)โ€œ๋Š” ๊ตฌ์ ˆ์„ ์ธ์šฉํ•˜๋ฉฐ, ๊ฒฐ๊ณผ์— ์—ฐ์—ฐํ•˜๊ธฐ๋ณด๋‹ค ์ž์‹ ์ด ์ฆ๊ธฐ๊ณ  ํฅ๋ฏธ๋ฅผ ๋А๋ผ๋Š” ๋ฌธ์ œ์— ๋ชฐ๋‘ํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค๊ณ  ๊ฐ•์กฐํ•ฉ๋‹ˆ๋‹ค. โ€œ์ง„์ •ํ•œ ํ”„๋กฌํ”„ํŠธ(prompt)๋Š” ๋‹น์‹ ์˜ ๋‡Œ ์•ˆ์— ์žˆ๋‹คโ€๋Š” ๊ทธ์˜ ๋ง์ฒ˜๋Ÿผ, ๋‚ด๋ฉด์˜ ๋ถˆ๊ฝƒ์—์„œ ์‹œ์ž‘๋œ ์•„์ด๋””์–ด๊ฐ€ ๊ธฐ์ˆ ์„ ํ†ตํ•ด ๊ตฌํ˜„๋˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค๋Š” ๋ฉ”์‹œ์ง€์ž…๋‹ˆ๋‹ค.

์‹œ๊ทธ๋„์€ ์œ„๋Œ€ํ•œ ์†Œ๋น„์žฌ(consumer) ์ฐฝ์—…๊ฐ€๋“ค์„ ๋‘ ๊ฐ€์ง€ ์œ ํ˜•์œผ๋กœ ๋‚˜๋ˆ•๋‹ˆ๋‹ค. ์ƒ˜ ์˜ฌํŠธ๋จผ(Sam Altman), ๋‹ค๋ฆฌ์˜ค ์•„๋ชจ๋ฐ์ด(Dario Amodei)์ฒ˜๋Ÿผ ์ƒ์ƒํ•  ์ˆ˜ ์—†๋Š” ๊ฒƒ์„ ํ˜„์‹ค๋กœ ๋งŒ๋“œ๋Š” โ€œ๊ธฐ์ˆ ์  ์•„ํ‚คํ…ํŠธ(technical architect)โ€ ์œ ํ˜•๊ณผ, ์—๋ธŒ ์œŒ๋ฆฌ์—„์Šค(Ev Williams), ์ผ€๋นˆ ๋กœ์ฆˆ(Kevin Rose)์ฒ˜๋Ÿผ ๋ฌธํ™”์— ๋Œ€ํ•œ ๊นŠ์€ ์ดํ•ด๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๊ธฐ์ˆ ์„ ์บ”๋ฒ„์Šค ์‚ผ์•„ ์˜ˆ์ˆ ์„ ์ฐฝ์กฐํ•˜๋Š” โ€œ๋ฌธํ™”์  ์ฒ ํ•™์ž(cultural philosopher)โ€ ์œ ํ˜•์ž…๋‹ˆ๋‹ค. ์›น 2.0 ์‹œ๋Œ€์˜ ์ฐฝ์—…๊ฐ€๋“ค์ด ์ธ๊ฐ„์ด ์ •๋ณด๋ฅผ ์ฃผ๊ณ ๋ฐ›๋Š” โ€œ์ „๋‹ฌ ์ˆ˜๋‹จ(delivery vehicles)โ€œ์„ ์„ค๊ณ„ํ–ˆ๋‹ค๋ฉด, ํ˜„์žฌ AI ์‹œ๋Œ€์˜ ์ฐฝ์—…๊ฐ€๋“ค์€ โ€œ์ธ๊ฐ„์˜ ์„ฑ๊ฒฉ๊ณผ ์ง€๋Šฅ์„ ์„ค๊ณ„ํ•˜๋Š” ์ผโ€์ด๋ผ๋Š” ํ›จ์”ฌ ๋” ๋ณต์žกํ•˜๊ณ  ๊ทผ๋ณธ์ ์ธ ๋ฌธ์ œ์— ๋„์ „ํ•˜๊ณ  ์žˆ๋‹ค๊ณ  ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค.

๋ฏธ์ง€์˜ ๋ฏธ๋ž˜๋ฅผ ํ–ฅํ•œ ์—ฌ์ •

์‹œ๊ทธ๋„์€ ํ˜„์žฌ AI ๊ธฐ์ˆ ์˜ ๋ฐœ์ „์ด โ€œ๊ณผํ•™๋ณด๋‹ค๋Š” ์˜ˆ์ˆ ์— ๊ฐ€๊น๋‹คโ€๊ณ  ํ‘œํ˜„ํ•˜๋ฉฐ, ์ด ํฅ๋ฏธ์ง„์ง„ํ•œ ์‹œ๋Œ€๋ฅผ ๊ธฐ์ˆ  ์ „๋ฌธ๊ฐ€๋กœ์„œ ์‚ด์•„๊ฐ€๋Š” ๊ฒƒ์— ๋Œ€ํ•œ ์ฆ๊ฑฐ์›€์„ ๋“œ๋Ÿฌ๋ƒ…๋‹ˆ๋‹ค. ๊ทธ๋Š” ํ˜„์žฌ ์„ธ ๋ช…์˜ ๋™๋ฃŒ์™€ ํ•จ๊ป˜ โ€œํ‰๋ฒ”ํ•œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝํ—˜ํ•˜๊ณ  ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ํฅ๋ฏธ๋กœ์šด ์†Œ๋น„์žฌ AI ์ œํ’ˆโ€์„ ๊ฐœ๋ฐœ ์ค‘์ด๋ฉฐ, ๋ง๋ฟ์ด ์•„๋‹Œ ์ง์ ‘ ํ–‰๋™์œผ๋กœ ๋ณด์—ฌ์ฃผ๊ณ  ์‹ถ๋‹ค๋Š” ํฌ๋ถ€๋ฅผ ๋ฐํž™๋‹ˆ๋‹ค.

๊ธฐ์ˆ , ๋ฌธํ™”, ๊ทธ๋ฆฌ๊ณ  ์ธ๊ฐ„์˜ ์กด์žฌ ๋ฐฉ์‹์ด ์ „๋ก€ ์—†๋Š” ์†๋„๋กœ ์žฌ์ •์˜๋˜๋Š” ์ด ์‹œ๋Œ€์—, ํด๋กœ๋“œ์™€ ๊ฐ™์€ AI ๋ชจ๋ธ์ด ๋˜์ง€๋Š” โ€˜๋‹ค๋ฆ„โ€™์€ ๋‹จ์ˆœํ•œ ๊ธฐ์ˆ ์  ์ง„๋ณด๋ฅผ ๋„˜์–ด ์šฐ๋ฆฌ ์ž์‹ ๊ณผ ๋ฏธ๋ž˜์— ๋Œ€ํ•œ ๊นŠ์€ ์งˆ๋ฌธ์„ ๋˜์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ค‘์š”ํ•œ ๊ฒƒ์€ ์ด๋Ÿฌํ•œ ๋ณ€ํ™”์˜ ํ๋ฆ„ ์†์—์„œ ์šฐ๋ฆฌ๊ฐ€ ๋ฐฉํ–ฅ์„ ์žƒ์ง€ ์•Š๊ณ , ๋ชจ๋‘์—๊ฒŒ ๋” ๋‚˜์€ ๋ฏธ๋ž˜๋ฅผ ๋งŒ๋“ค์–ด๊ฐˆ ์ˆ˜ ์žˆ๋Š” ์ง€ํ˜œ์™€ ์šฉ๊ธฐ๋ฅผ ๊ฐ–๋Š” ๊ฒƒ์ผ ๊ฒƒ์ž…๋‹ˆ๋‹ค.


โ€œTrump vs. the Popeโ€ โ€” New York Times Podcasts ๊ธฐ๋ฐ˜ ๊ธฐ์‚ฌ ์›๋ณธ ์˜์ƒ ๋ณด๊ธฐ

์‹ ์•™๊ณผ ๊ถŒ๋ ฅ์˜ ์ถฉ๋Œ: ํŠธ๋Ÿผํ”„ ๋Œ€ํ†ต๋ น๊ณผ ๊ตํ™ฉ ๋ ˆ์˜ค 14์„ธ์˜ ์ „๋ก€ ์—†๋Š” ๋Œ€๋ฆฝ

์ „์Ÿ์„ ๋‘˜๋Ÿฌ์‹ผ ๋ฏธ๊ตญ ๋Œ€ํ†ต๋ น๊ณผ ์ดˆ๋Œ€ ๋ฏธ๊ตญ์ธ ๊ตํ™ฉ์˜ ๊ฒฉ๋ ฌํ•œ ์„ค์ „, ๊ทธ ๋ฐฐ๊ฒฝ๊ณผ ํŒŒ์žฅ์„ ์‹ฌ์ธต ๋ถ„์„ํ•˜๋‹ค.

๋‰ด์š•ํƒ€์ž„์Šค โ€˜๋” ๋ฐ์ผ๋ฆฌโ€™์˜ ๋ณด๋„์— ๋”ฐ๋ฅด๋ฉด, ๋ฏธ๊ตญ ๋Œ€ํ†ต๋ น๊ณผ ๊ตํ™ฉ ์‚ฌ์ด์— ์ „๋ก€ ์—†๋Š” ์˜๊ฒฌ ๋ถˆ์ผ์น˜๊ฐ€ ๋ฐœ์ƒํ•˜๋ฉฐ ํ˜„๋Œ€์‚ฌ์—์„œ ๊ตญ๊ฐ€์›์ˆ˜์™€ ๊ตํ™ฉ ๊ฐ„ ๊ฐ€์žฅ ์ง์ ‘์ ์ธ ๋Œ€๊ฒฐ์ด ํŽผ์ณ์กŒ๋‹ค. ํŠธ๋Ÿผํ”„ ๋Œ€ํ†ต๋ น์ด ๊ตํ™ฉ ๋ ˆ์˜ค 14์„ธ๋ฅผ ๋งน๋น„๋‚œํ•œ ํ›„, ๊ตํ™ฉ์€ ํ–‰์ •๋ถ€์— ์ •๋ฉด์œผ๋กœ ๋งž์„œ๋ฉฐ ์ด ๊ฐˆ๋“ฑ์€ ์ตœ๊ณ ์กฐ์— ๋‹ฌํ–ˆ๋‹ค. ๊ณผ์—ฐ ํŠธ๋Ÿผํ”„ ๋Œ€ํ†ต๋ น์€ ์™œ ๊ตํ™ฉ์˜ ์ƒ๊ฐ์— ๊ทธํ† ๋ก ์‹ ๊ฒฝ์„ ์“ฐ๋Š” ๊ฑธ๊นŒ? ๊ทธ๋ฆฌ๊ณ  ์„ธ๊ณ„์—์„œ ๊ฐ€์žฅ ๊ฐ•๋ ฅํ•œ ์˜ํ–ฅ๋ ฅ์„ ๊ฐ€์ง„ ๋‘ ๋ฏธ๊ตญ์ธ์ด ์ดํ† ๋ก ๊นŠ์€ ๊ฐˆ๋“ฑ์„ ๊ฒช๋Š”๋‹ค๋Š” ๊ฒƒ์€ ๋ฌด์—‡์„ ์˜๋ฏธํ• ๊นŒ? ๋‰ด์š•ํƒ€์ž„์Šค ๊ธฐ์ž ๋ชจ์ฝ” ๋ฆฌ์น˜(Mokco Rich)๊ฐ€ ์ด ์งˆ๋ฌธ์— ๋Œ€ํ•œ ๊นŠ์ด ์žˆ๋Š” ํ†ต์ฐฐ์„ ์ œ๊ณตํ•œ๋‹ค.

์•„ํ”„๋ฆฌ์นด ์ˆœ๋ฐฉ ์ค‘ ํ„ฐ์ ธ ๋‚˜์˜จ ๊ธด์žฅ๊ฐ: ๊ตํ™ฉ์˜ ์ด๋ก€์ ์ธ ๋ฐ˜๊ฒฉ

๊ธฐ์ž ๋ชจ์ฝ” ๋ฆฌ์น˜๋Š” ๊ตํ™ฉ๊ณผ ํ•จ๊ป˜ ์•„ํ”„๋ฆฌ์นด ์—ฌ๋Ÿฌ ๊ตญ๊ฐ€๋ฅผ ์ˆœ๋ฐฉ ์ค‘, ์นด๋ฉ”๋ฃฌ ์ˆ˜๋„ ์•ผ์šด๋ฐ์˜ ํ•œ ํ˜ธํ…” ํ”„๋ ˆ์Šค์„ผํ„ฐ์—์„œ ๋‹น์‹œ์˜ ๊ธด๋ฐ•ํ•œ ์ƒํ™ฉ์„ ์ „ํ–ˆ๋‹ค. ๊ตํ™ฉ ๋ ˆ์˜ค 14์„ธ์˜ ์ฒซ ์•„ํ”„๋ฆฌ์นด ์ˆœ๋ฐฉ ์…‹์งธ ๋‚ , ์•Œ์ œ๋ฆฌ๋ฅผ ๊ฑฐ์ณ ์นด๋ฉ”๋ฃฌ์— ๋„์ฐฉํ•œ ๊ตํ™ฉ ์ˆ˜ํ–‰๋‹จ์€ ๊ฒ‰์œผ๋กœ๋Š” ํ‰ํ™”๋กœ์šด ๋ชฉํšŒ ๋ฐฉ๋ฌธ์„ ์ด์–ด๊ฐ€๊ณ  ์žˆ์—ˆ๋‹ค. ๊ณตํ•ญ์—์„œ ํ˜ธํ…”๊นŒ์ง€ ์ˆ˜๋งŒ ๋ช…์˜ ์ธํŒŒ๊ฐ€ ๊ตํ™ฉ์„ ํ™˜์˜ํ•˜๋ฉฐ ์—ด๊ด‘ํ–ˆ์ง€๋งŒ, ๊ตํ™ฉ ์ „์šฉ๊ธฐ ๋‚ด๋ถ€์˜ โ€˜๋ฒ„๋ธ”โ€™ ์•ˆ์—์„œ๋Š” ๋ฏธ๊ตญ ๋Œ€ํ†ต๋ น์˜ ๊ณต๊ฐœ์ ์ธ ๊ณต๊ฒฉ์œผ๋กœ ์ธํ•ด ๊ตํ™ฉ๊ณผ ๋ฏธ๊ตญ ๋Œ€ํ†ต๋ น ์‚ฌ์ด์— ๋ฒŒ์–ด์ง„ ๊ฑฐ๋Œ€ํ•œ ๊ท ์—ด์— ๋Œ€ํ•œ ์ธ์‹์ด ํŒฝ๋ฐฐํ–ˆ๋‹ค.

ํŠนํžˆ ์ฃผ๋ชฉํ•  ๋งŒํ•œ ์ ์€ ๊ตํ™ฉ ๋ ˆ์˜ค 14์„ธ๊ฐ€ ์žฌ์œ„ ์ฒซํ•ด ๋Œ€๋ถ€๋ถ„ ์˜จํ™”ํ•˜๊ณ  ํ†ตํ•ฉ์„ ์ง€ํ–ฅํ•˜๋ฉฐ ๋Œ€๊ฒฐ์„ ํ”ผํ•˜๋Š” ๋ชจ์Šต์„ ๋ณด์˜€๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ๊ทธ๋Š” ํ”„๋ž€์น˜์Šค์ฝ” ๊ตํ™ฉ์ฒ˜๋Ÿผ ๋„๋ฐœ์ ์ด๊ฑฐ๋‚˜ ์ฆ‰ํฅ์ ์ด์ง€ ์•Š์•˜๊ณ , ์˜คํžˆ๋ ค ๋ณด์ˆ˜์ ์ธ ๊ฐ€ํ†จ๋ฆญ ์‹ ์ž๋“ค์—๊ฒŒ๋„ ์†์„ ๋‚ด๋ฐ€๋ฉฐ ๊ตํšŒ์˜ ๋‹จํ•ฉ์„ ๊พ€ํ–ˆ๋‹ค. ํ•˜์ง€๋งŒ ์ด๋ฒˆ ์ฃผ ์›”์š”์ผ, ๊ทธ๋Š” ์ด๋ก€์ ์œผ๋กœ โ€˜๋ฐ˜๊ฒฉโ€™์— ๋‚˜์„ฐ๋‹ค.

๊ฐˆ๋“ฑ์˜ ์”จ์•—: ์ด๋ฏผ์ž ์ •์ฑ…๋ถ€ํ„ฐ ์ด๋ž€ ์ „์Ÿ๊นŒ์ง€

๊ตํ™ฉ ๋ ˆ์˜ค 14์„ธ๊ฐ€ ์„ ์ถœ๋œ ์ˆœ๊ฐ„๋ถ€ํ„ฐ ๊ทธ๊ฐ€ ์ดˆ๋Œ€ ๋ฏธ๊ตญ์ธ ๊ตํ™ฉ์ด๋ผ๋Š” ์‚ฌ์‹ค ๋•Œ๋ฌธ์— โ€˜๋ฐ˜(ๅ)ํŠธ๋Ÿผํ”„โ€™ ์—ญํ• ์„ ํ•  ๊ฒƒ์ด๋ผ๋Š” ๊ธฐ๋Œ€๊ฐ์ด ์ผ๋ถ€ ์กด์žฌํ–ˆ๋‹ค. ์ „์ž„ ํ”„๋ž€์น˜์Šค์ฝ” ๊ตํ™ฉ์ด ํŠธ๋Ÿผํ”„๋ฅผ โ€œ๊ธฐ๋…๊ต์ธ์ด ์•„๋‹ˆ๋‹คโ€๋ผ๊ณ  ๋น„ํŒํ•˜๊ฑฐ๋‚˜ ๋ฉ•์‹œ์ฝ” ๊ตญ๊ฒฝ์—์„œ ์ด๋ฏผ์ž๋“ค์„ ๋งŒ๋‚˜๋Š” ๋“ฑ ์—ฌ๋Ÿฌ ๋ฐฉ์‹์œผ๋กœ ํŠธ๋Ÿผํ”„์™€ ๋Œ€๋ฆฝํ–ˆ๋˜ ์„ ๋ก€๊ฐ€ ์žˆ์—ˆ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค.

ํ•˜์ง€๋งŒ ๋ ˆ์˜ค ๊ตํ™ฉ์€ ์ดˆ๊ธฐ์—๋Š” ์ƒํ™ฉ์„ ์ง„์ •์‹œํ‚ค๋ ค ๋…ธ๋ ฅํ–ˆ๋‹ค. ๊ทธ๋Š” ์ „์Ÿ ๋ฐ˜๋Œ€, ํ‰ํ™” ์˜นํ˜ธ, ํ™˜๊ฒฝ ๋ณดํ˜ธ ๋“ฑ ๋ฒ”์šฉ์ ์ธ ๋ฉ”์‹œ์ง€๋ฅผ ์ฃผ๋กœ ์ „๋‹ฌํ–ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด๋ฏผ์ž ๋ฌธ์ œ์— ๋Œ€ํ•œ ๊ทธ์˜ ๋ฐœ์–ธ์—์„œ ๋ฏธ๋ฌ˜ํ•œ ๊ท ์—ด์ด ๊ฐ์ง€๋˜๊ธฐ ์‹œ์ž‘ํ–ˆ๋‹ค. ๊ทธ๋Š” ๋ฏธ๊ตญ ์ฃผ๊ตํšŒ์˜๊ฐ€ ํŠธ๋Ÿผํ”„ ๋Œ€ํ†ต๋ น์˜ ์ด๋ฏผ ์ •์ฑ…์„ ๋น„๋‚œํ–ˆ์„ ๋•Œ ์ด๋ฅผ ์ง€์ง€ํ–ˆ๋‹ค. ์ดํ›„ ์ „์Ÿ์— ๋Œ€ํ•ด ๋ชฉ์†Œ๋ฆฌ๋ฅผ ๋‚ด๋ฉด์„œ ํŠธ๋Ÿผํ”„ ํ–‰์ •๋ถ€๋Š” ๊ทธ์˜ ๋ฐœ์–ธ์„ ์ ์  ๋” ์ง์ ‘์ ์ธ ๊ณต๊ฒฉ์œผ๋กœ ์ธ์‹ํ•˜๊ฒŒ ๋˜์—ˆ๋‹ค. ํŠนํžˆ ์ด๋ž€ ์ „์Ÿ ๋ฐœ๋ฐœ ํ›„ ๊ตํ™ฉ์˜ ๋ฐœ์–ธ์€ ๋”์šฑ ๋‚ ์นด๋กœ์›Œ์กŒ๋‹ค.

์ด๋ž€ ์ „์Ÿ, ๊ฒฐ์ •์ ์ธ ์ „ํ™˜์ 

์ „์Ÿ์ด ์‹œ์ž‘๋œ ์งํ›„, ๊ตํ™ฉ์€ โ€œํ˜•์ œ์ž๋งค ์—ฌ๋Ÿฌ๋ถ„, ์ค‘๋™๊ณผ ์ด๋ž€์—์„œ ๋ฒŒ์–ด์ง€๋Š” ๊ทน์ ์ธ ์ˆœ๊ฐ„๋“ค์„ ๊นŠ์€ ์šฐ๋ ค ์†์— ์ง€์ผœ๋ณด๋ฉฐ ๊ธฐ๋„ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค. ์ด๋Š” ์ผ๋ฐ˜์ ์ธ ๋ฐœ์–ธ์œผ๋กœ ๋“ค๋ฆด ์ˆ˜๋„ ์žˆ์ง€๋งŒ, ๋Œ€ํ™”๋กœ์˜ ๋ณต๊ท€, ์ „์Ÿ ํ˜์˜ค, ํ‰ํ™”์˜ ํ•„์š”์„ฑ์„ ๊ฐ•์กฐํ•˜๋ฉฐ ํ–‰์ •๋ถ€๋ฅผ ๊ฒจ๋ƒฅํ•œ ๊ฒƒ์œผ๋กœ ํ•ด์„๋  ์—ฌ์ง€๊ฐ€ ์ถฉ๋ถ„ํ–ˆ๋‹ค. ๊ทธ๋Š” ๋ชจ๋“  ๋‹น์‚ฌ์ž์—๊ฒŒ โ€œํญ๋ ฅ์˜ ๋‚˜์„ ์ด ๋Œ์ดํ‚ฌ ์ˆ˜ ์—†๋Š” ์‹ฌ์—ฐ์ด ๋˜๊ธฐ ์ „์— ๋„๋•์  ์ฑ…์ž„์„ ๋‹คํ•ด ์ด๋ฅผ ๋ฉˆ์ถœ ๊ฒƒโ€์„ ์ด‰๊ตฌํ–ˆ๋‹ค.

์ด๋Ÿฌํ•œ ๊ตํ™ฉ์˜ ๋ฐœ์–ธ์„ ํŠธ๋Ÿผํ”„ ํ–‰์ •๋ถ€๋Š” ์ž ์žฌ์ ์ธ ์ง์ ‘ ๊ณต๊ฒฉ์œผ๋กœ ๋ฐ›์•„๋“ค์ด๊ธฐ ์‹œ์ž‘ํ–ˆ๋‹ค. ๊ทธ๋Ÿผ์—๋„ ๊ตํ™ฉ์€ ํŠธ๋Ÿผํ”„ ๋Œ€ํ†ต๋ น์ด๋‚˜ ๋‹ค๋ฅธ ๋‚ด๊ฐ ๊ตฌ์„ฑ์›์˜ ์ด๋ฆ„์„ ์ง์ ‘ ๊ฑฐ๋ก ํ•˜์ง€๋Š” ์•Š์•˜๋‹ค.

๊ตญ๋ฐฉ์žฅ๊ด€์˜ โ€˜์˜ˆ์ˆ˜ ์†Œํ™˜โ€™๊ณผ ๊ตํ™ฉ์˜ ๋ฐ˜๋ฐ•

๊ทธ๋Ÿฌ๋˜ ์ค‘ ํ”ผํŠธ ํ—ฅ์„ธ์Šค(Pete Hegseth) ๊ตญ๋ฐฉ์žฅ๊ด€์ด ๋ฏธ๊ตญ ๋Œ€์ค‘์—๊ฒŒ โ€œ์˜ˆ์ˆ˜ ๊ทธ๋ฆฌ์Šค๋„์˜ ์ด๋ฆ„์œผ๋กœ ๊ตฐ์‚ฌ์  ์Šน๋ฆฌ๋ฅผ ์œ„ํ•ด ๊ธฐ๋„ํ•˜๋ผโ€๊ณ  ์ด‰๊ตฌํ–ˆ๋‹ค. ์ด๋Š” ๊ตํšŒ์™€ ๊ตญ๊ฐ€์˜ ๋ถ„๋ฆฌ ์›์น™์„ ๊ฐ•์กฐํ•˜๋Š” ๋ฏธ๊ตญ์—์„œ ๊ณ ์œ„ ์ •๋ถ€ ๊ด€๋ฆฌ๊ฐ€ ํŠน์ • ์ข…๊ต ์ธ๋ฌผ์„ ๋ถˆ๋Ÿฌ ๋ฏธ๊ตญ ์ „์Ÿ์„ ์ •๋‹นํ™”ํ•˜๋Š” ๋งค์šฐ ์ด๋ก€์ ์ธ ๋ฐœ์–ธ์ด์—ˆ๋‹ค.

์ด์— ๊ตํ™ฉ์€ ๋ถ€ํ™œ์ ˆ ์ „ ์ข…๋ ค์ฃผ์ผ ๊ฐ•๋ก ์—์„œ ๋ถ„๋ช…ํ•˜๊ฒŒ ๋ฐ˜๋ฐ•ํ–ˆ๋‹ค. ๊ทธ๋Š” โ€œ์˜ˆ์ˆ˜๋Š” ์ „์Ÿ์„ ๋ฒŒ์ด๋Š” ์ž๋“ค์˜ ๊ธฐ๋„๋ฅผ ๋“ฃ์ง€ ์•Š์œผ์‹ ๋‹คโ€๊ณ  ๋งํ•˜๋ฉฐ, โ€œ์šฐ๋ฆฌ๊ฐ€ ์˜ˆ์ˆ˜์˜ ์ด๋ฆ„์œผ๋กœ ๋ฌด์—‡์„ ํ•˜๊ณ  ๋ฌด์—‡์„ ํ•˜์ง€ ์•Š๋Š”๊ฐ€โ€์— ๋Œ€ํ•ด ์–ธ๊ธ‰ํ–ˆ๋‹ค. ์ด๋Š” ํ—ฅ์„ธ์Šค ์žฅ๊ด€์˜ ๋ฐœ์–ธ์— ๋Œ€ํ•œ ๋ช…ํ™•ํ•œ ๋ฐ˜๋Œ€์˜€๋‹ค. ๋ชจ์ฝ” ๋ฆฌ์น˜ ๊ธฐ์ž๋Š” ํ—ฅ์„ธ์Šค ์žฅ๊ด€์˜ ๋ฐœ์–ธ์ด ๊ตํ™ฉ์„ ๋”์šฑ ์†”์งํ•˜๊ฒŒ ๋งŒ๋“ค์—ˆ์„ ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋‹ค๊ณ  ๋ถ„์„ํ–ˆ๋‹ค. ํ‰ํ™”๋Š” ๊ตํ™ฉ์˜ ์ตœ์šฐ์„  ๊ณผ์ œ์˜€์ง€๋งŒ, ์˜ˆ์ˆ˜์˜ ์ด๋ฆ„์ด ์ „์Ÿ์˜ ์Šน๋ฆฌ๋ฅผ ์œ„ํ•ด ์‚ฌ์šฉ๋œ ๊ฒƒ์— ๊ตํ™ฉ์ด ํฌ๊ฒŒ ๋ถˆ์พŒํ–ˆ์„ ๊ฒƒ์ด๋ผ๋Š” ํ•ด์„์ด๋‹ค.

ํŠธ๋Ÿผํ”„์˜ โ€˜๋ฌธ๋ช… ์ „๋ฉธโ€™ ์œ„ํ˜‘๊ณผ ๊ตํ™ฉ์˜ ์ง์ ‘์ ์ธ ๋น„ํŒ

์ดํ›„ ์ƒํ™ฉ์€ ๋”์šฑ ๊ฒฉํ™”๋˜์—ˆ๋‹ค. ์ผ์ฃผ์ผ ๋’ค, ํŠธ๋Ÿผํ”„ ๋Œ€ํ†ต๋ น์ด ์†Œ์…œ ๋ฏธ๋””์–ด(์ง„์‹ค ์†Œ์…œ, Truth Social)์— ์ด๋ž€ ๋ฌธ๋ช…์„ ํ•˜๋ฃป๋ฐค ์‚ฌ์ด์— ์ „๋ฉธ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋‹ค๊ณ  ์œ„ํ˜‘ํ•˜๋Š” ๊ธ€์„ ์˜ฌ๋ ธ๋‹ค. ์ด์— ๊ตํ™ฉ์€ ๋”์šฑ ์ง์ ‘์ ์ธ ์–ด์กฐ๋กœ ๋Œ€์‘ํ–ˆ๋‹ค. ๊ทธ๋Š” โ€œ๋ฌธ๋ช…์˜ ์ „๋ฉธ์„ ์š”๊ตฌํ•˜๋Š” ๊ฒƒ์€ ์šฉ๋‚ฉํ•  ์ˆ˜ ์—†๋‹คโ€๊ณ  ์„ ์–ธํ•˜๋ฉฐ, ์‹ฌ์ง€์–ด ํ•ด๋‹น ๊ตญ๊ฐ€ ์‹œ๋ฏผ๋“ค์—๊ฒŒ ์˜์›๊ณผ ์ •์น˜ ์ง€๋„์ž๋“ค์—๊ฒŒ ์ „ํ™”ํ•˜์—ฌ ์ „์Ÿ๊ณผ ๋ชจ๋“  ์ „์Ÿ์˜ ์ข…์‹์„ ์ด‰๊ตฌํ•˜๋ผ๊ณ  ๋…๋ คํ–ˆ๋‹ค. ์ด๋Š” ๋” ์ด์ƒ ์ผ๋ฐ˜์ ์ธ ํ‰ํ™” ๋ฉ”์‹œ์ง€๊ฐ€ ์•„๋‹Œ, ๋Œ€ํ†ต๋ น์˜ ํŠน์ • ๋ฐœ์–ธ์— ๋Œ€ํ•œ ์ง์ ‘์ ์ธ ๋ฐ˜๋ฐ•์ด์—ˆ๋‹ค.

ํŠธ๋Ÿผํ”„์˜ ๋งน๊ณต๊ณผ ๊ตํ™ฉ์˜ โ€˜๋‘๋ ค์›€ ์—†๋Š”โ€™ ์‘๋‹ต

๊ธด์žฅ๊ฐ์ด ๊ณ ์กฐ๋˜๋Š” ๊ฐ€์šด๋ฐ, ์ง€๋‚œ ์ผ์š”์ผ ๋ฏธ๊ตญ ๊ฐ€ํ†จ๋ฆญ ๊ตํšŒ์˜ ๊ณ ์œ„ ์ง€๋„์ž์ธ ์„ธ ๋ช…์˜ ์ถ”๊ธฐ๊ฒฝ์ด TV ํ”„๋กœ๊ทธ๋žจ โ€˜60๋ถ„โ€™์— ์ถœ์—ฐํ•˜์—ฌ ๊ตํ™ฉ์˜ ๋ฐ˜์ „ ๋ฉ”์‹œ์ง€๋ฅผ ์ „์ ์œผ๋กœ ์ง€์ง€ํ–ˆ๋‹ค. ๊ทธ๋“ค์€ ์ „์Ÿ ํฌ์ƒ์ž๋“ค์„ ๋น„์ธ๊ฐ„ํ™”ํ•˜๊ณ  ์‚ฌ๋žŒ๋“ค์˜ ๊ณ ํ†ต๊ณผ ์–ด๋ฆฐ์ด ๋ฐ ๊ตฐ์ธ๋“ค์˜ ์ฃฝ์Œ์„ ์˜ค๋ฝ๊ฑฐ๋ฆฌ๋กœ ๋งŒ๋“œ๋Š” ๊ฒƒ์„ โ€œ์—ญ๊ฒน๋‹คโ€๊ณ  ํ‘œํ˜„ํ–ˆ๋‹ค.

๊ทธ๋ฆฌ๊ณ  ๋กœ๋งˆ ์‹œ๊ฐ์œผ๋กœ ์ด๋ฅธ ์•„์นจ, ๊ตํ™ฉ ์ˆ˜ํ–‰๋‹จ์ด ๋น„ํ–‰๊ธฐ ํƒ‘์Šน์„ ์ค€๋น„ํ•˜๋˜ ์ค‘, ํŠธ๋Ÿผํ”„ ๋Œ€ํ†ต๋ น์ด ์†Œ์…œ ๋ฏธ๋””์–ด์— ๊ตํ™ฉ์„ ๋งน๋น„๋‚œํ•˜๋Š” ๊ธ€์„ ์˜ฌ๋ ธ๋‹ค. ๊ทธ๋Š” ๊ตํ™ฉ์„ โ€œ๋ฒ”์ฃ„์— ์•ฝํ•˜๊ณ  ๊ธ‰์ง„ ์ขŒํŒŒ์˜ ๋„๊ตฌโ€๋ผ๊ณ  ๋ถ€๋ฅด๋ฉฐ, โ€œ์™ธ๊ต ์ •์ฑ…์— ํ˜•ํŽธ์—†๋‹คโ€๊ณ  ๋น„๋‚œํ–ˆ๋‹ค. ์ด ๊ธด ๊ฒŒ์‹œ๋ฌผ์—๋Š” ๊ตํ™ฉ์˜ ๋‘ ํ˜•์ œ ์ค‘ ํ•œ ๋ช…์ด ํŠธ๋Ÿผํ”„ ์ง€์ง€์ž์ด๋ฉฐ ๋ฐฑ์•…๊ด€์„ ๋ฐฉ๋ฌธํ–ˆ๋‹ค๋Š” ๊ฐœ์ธ์ ์ธ ๋‚ด์šฉ๊นŒ์ง€ ํฌํ•จ๋˜์–ด ์žˆ์—ˆ๋‹ค.

๊ตํ™ฉ ์ „์šฉ๊ธฐ ์•ˆ์—์„œ์˜ ์—ญ์‚ฌ์ ์ธ ์ˆœ๊ฐ„

์ด๋Ÿฌํ•œ ํŠธ๋Ÿผํ”„์˜ ๊ณต๊ฒฉ์€ ๊ตํ™ฉ ์ˆ˜ํ–‰๋‹จ ์ „์ฒด๋ฅผ ์ถฉ๊ฒฉ์— ๋น ๋œจ๋ ธ๋‹ค. ๊ธฐ์ž๋“ค์€ ๊ตํ™ฉ์ด ์ด์— ๋Œ€ํ•ด ์–ด๋–ป๊ฒŒ ๋ฐ˜์‘ํ• ์ง€ ์ด‰๊ฐ์„ ๊ณค๋‘์„ธ์› ๋‹ค. ์ „ํ†ต์ ์œผ๋กœ ๊ตํ™ฉ์€ ์ „์šฉ๊ธฐ์—์„œ ๊ธฐ์ž๋“ค๊ณผ ๊ฐ€๋ณ๊ฒŒ ์ธ์‚ฌ๋ฅผ ๋‚˜๋ˆ„์ง€๋งŒ ์งˆ๋ฌธ์€ ํ•˜์ง€ ์•Š๋Š” ๊ฒƒ์ด ๊ด€๋ก€์˜€๋‹ค. ํ•˜์ง€๋งŒ ์ด๋ฒˆ์—๋Š” ๋‹ฌ๋ž๋‹ค. ๊ตํ™ฉ์ด ํ†ต๋กœ๋ฅผ ์˜ค๊ฐ€๋ฉฐ ๊ธฐ์ž๋“ค๊ณผ ์ธ์‚ฌ๋ฅผ ๋‚˜๋ˆŒ ๋•Œ, ๋งŽ์€ ๊ธฐ์ž๊ฐ€ ํŠธ๋Ÿผํ”„์˜ ๊ฒŒ์‹œ๋ฌผ์— ๋Œ€ํ•œ ๊ตํ™ฉ์˜ ๋ฐ˜์‘์„ ๋ฌผ์—ˆ๋‹ค.

๊ตํ™ฉ์€ ์ฃผ์ €ํ•˜์ง€ ์•Š๊ณ  ๋‹ต๋ณ€ํ–ˆ๋‹ค. ๊ทธ๋Š” โ€œ๋‚˜๋Š” ํŠธ๋Ÿผํ”„ ํ–‰์ •๋ถ€๋„, ๋ณต์Œ์˜ ๋ฉ”์‹œ์ง€๋ฅผ ํฐ ์†Œ๋ฆฌ๋กœ ์™ธ์น˜๋Š” ๊ฒƒ๋„ ๋‘๋ ต์ง€ ์•Š๋‹คโ€๊ณ  ๋งํ•˜๋ฉฐ ์ž์‹ ์ด ๋ˆ„๊ตฌ์—๊ฒŒ ์‘๋‹ตํ•˜๋Š”์ง€ ๋ถ„๋ช…ํžˆ ํ–ˆ๋‹ค. ๊ทธ๋Š” โ€œ๋ณต์Œ์˜ ๋ฉ”์‹œ์ง€๊ฐ€ ์ผ๋ถ€ ์‚ฌ๋žŒ๋“ค์ด ํ•˜๋Š” ๋ฐฉ์‹๋Œ€๋กœ ๋‚จ์šฉ๋˜์–ด์„œ๋Š” ์•ˆ ๋œ๋‹คโ€๊ณ  ๊ฐ•์กฐํ•˜๋ฉฐ, โ€œ์ „์Ÿ์— ๋ฐ˜๋Œ€ํ•˜๋Š” ๋ชฉ์†Œ๋ฆฌ๋ฅผ ๊ณ„์† ๋‚ผ ๊ฒƒโ€์ด๋ผ๊ณ  ๋ง๋ถ™์˜€๋‹ค. ๋˜ํ•œ โ€œ์ด ์ „์Ÿ์—์„œ ์ฃฝ์–ด๊ฐ€๋Š” ๋ฌด๊ณ ํ•œ ์‚ฌ๋žŒ๋“ค์„ ์œ„ํ•ด ๋ˆ„๊ตฐ๊ฐ€๋Š” ๋‚˜์„œ์•ผ ํ•œ๋‹คโ€๋ฉฐ ์ž์‹ ์ด ๋„๋•์  ๊ถŒ์œ„์ž๋กœ์„œ์˜ ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•˜๊ณ  ์žˆ์Œ์„ ์ฒœ๋ช…ํ–ˆ๋‹ค.

์˜จํ™”ํ•œ ๊ตํ™ฉ์˜ ๊ฐ•๋ ฅํ•œ ๋ฉ”์‹œ์ง€

๊ตํ™ฉ ๋ ˆ์˜ค 14์„ธ์˜ ์ด๋Ÿฌํ•œ ๋‹จํ˜ธํ•œ ๋ฐ˜์‘์€ ๊ทธ์˜ ํ‰์†Œ ์˜จํ™”ํ•œ ์„ฑํ’ˆ์„ ๊ณ ๋ คํ•  ๋•Œ ๋”์šฑ ๊ฐ•๋ ฅํ•˜๊ฒŒ ๋‹ค๊ฐ€์™”๋‹ค. ๊ทธ๋Š” ํ”„๋ž€์น˜์Šค์ฝ” ๊ตํ™ฉ์ฒ˜๋Ÿผ ์ง์„ค์ ์ด๊ฑฐ๋‚˜ ๊ทน์ ์ธ ์ œ์Šค์ฒ˜๋ฅผ ์ทจํ•˜๋Š” ์ธ๋ฌผ์ด ์•„๋‹ˆ์—ˆ๋‹ค. ์˜คํžˆ๋ ค ์กฐ์šฉํ•˜๊ณ  ์˜จํ™”ํ•˜๋ฉฐ ์ค€๋น„๋œ ๋ฐœ์–ธ์— ์ถฉ์‹คํ•œ ์‚ฌ๋žŒ์ด์—ˆ๋‹ค. ๊ทธ๋Ÿฐ ๊ทธ๊ฐ€ โ€œํŠธ๋Ÿผํ”„ ํ–‰์ •๋ถ€๋ฅผ ๋‘๋ ค์›Œํ•˜์ง€ ์•Š๋Š”๋‹คโ€๊ณ  ๋งํ•œ ๊ฒƒ์€ ๋‹จ์ˆœํžˆ ๋„๋ฐœ์— ๋„˜์–ด๊ฐ€์ง€ ์•Š๋Š” ๊ฒƒ์„ ๋„˜์–ด, ์ž์‹ ์˜ ๋„๋•์  ์ž…์žฅ์„ ํ™•๊ณ ํžˆ ํ•˜๋Š” ํ–‰์œ„์˜€๋‹ค. ์ด๋Š” ๋งˆ์น˜ ํ‰์†Œ ์กฐ์šฉํ•œ ์‚ฌ๋žŒ์ด ๊ฐ‘์ž๊ธฐ ํฐ ๋ชฉ์†Œ๋ฆฌ๋ฅผ ๋‚ผ ๋•Œ ๋” ํฐ ์šธ๋ฆผ์„ ์ฃผ๋Š” ๊ฒƒ๊ณผ ๊ฐ™์•˜๋‹ค.

๊ฒŒ๋‹ค๊ฐ€ ๊ตํ™ฉ ๋ ˆ์˜ค 14์„ธ๋Š” ๋งค์šฐ ์ธ๊ธฐ๊ฐ€ ๋งŽ๋‹ค. ๊ทธ๋Š” ์žฌ์œ„ ์ดˆ๊ธฐ์— ๋ณด์ˆ˜ ์„ธ๋ ฅ์—๊ฒŒ ์†Œ์™ธ๋‹นํ–ˆ๋˜ ํ”„๋ž€์น˜์Šค์ฝ” ๊ตํ™ฉ๊ณผ๋Š” ๋‹ฌ๋ฆฌ, ๋ถ‰์€ ๋ชจ์ œํƒ€(mosetta)๋ฅผ ์ฐฉ์šฉํ•˜๊ฑฐ๋‚˜ ๋ณด์ˆ˜์ ์ธ ์ถ”๊ธฐ๊ฒฝ์—๊ฒŒ ๋ผํ‹ด์–ด ๋ฏธ์‚ฌ๋ฅผ ํ—ˆ์šฉํ•˜๋Š” ๋“ฑ ์ „ํ†ต์„ ์กด์ค‘ํ•˜๋ฉฐ ๊ฐ€ํ†จ๋ฆญ ๊ตํšŒ ๋‚ด์˜ ํ†ตํ•ฉ์„ ๊พ€ํ–ˆ๋‹ค. ๊ทธ๋Š” โ€œ๋ชจ๋‘์˜ ๊ตํ™ฉโ€์œผ๋กœ์„œ ๋‹นํŒŒ๋ฅผ ์ดˆ์›”ํ•˜๋ ค ๋…ธ๋ ฅํ•ด์™”๋‹ค. ๊ทธ๋ ‡๊ธฐ์— ๊ทธ๊ฐ€ ํŠธ๋Ÿผํ”„์— ๋งž์„  ๊ฒƒ์€ ๋‹จ์ˆœํ•œ ์ •์น˜์  ๋Œ€๊ฒฐ์„ ๋„˜์–ด ๋งค์šฐ ์ค‘๋Œ€ํ•œ ์ˆœ๊ฐ„์œผ๋กœ ์ธ์‹๋˜์—ˆ๋‹ค.

๋…ผ๋ž€์˜ โ€˜์˜ˆ์ˆ˜โ€™ ์ด๋ฏธ์ง€์™€ ํ–‰์ •๋ถ€์˜ ๋ฐ˜๊ฒฉ

์ƒํ™ฉ์ด ์ถฉ๋ถ„ํžˆ ๊ฒฉ๋ ฌํ•ด์ง„ ํ›„, ๊ตํ™ฉ ์ˆ˜ํ–‰๋‹จ์ด ์ฐฉ๋ฅ™ํ•˜์—ฌ ํœด๋Œ€ํฐ์„ ์ผฐ์„ ๋•Œ, ํŠธ๋Ÿผํ”„ ๋Œ€ํ†ต๋ น์ด ์ž์‹ ์„ ์˜ˆ์ˆ˜ ๊ทธ๋ฆฌ์Šค๋„์ฒ˜๋Ÿผ ๋ฌ˜์‚ฌํ•œ AI ์ƒ์„ฑ ์ด๋ฏธ์ง€๋ฅผ ์†Œ์…œ ๋ฏธ๋””์–ด์— ๊ฒŒ์‹œํ•œ ๊ฒƒ์„ ํ™•์ธํ–ˆ๋‹ค. ์ด ์ด๋ฏธ์ง€์—๋Š” ํŠธ๋Ÿผํ”„๊ฐ€ ์†์— ๋น›์„ ๋“ค๊ณ  ์•„ํ”ˆ ํ™˜์ž๋ฅผ ์ถ•๋ณตํ•˜๋ฉฐ, ํ•˜๋Š˜์—๋Š” ์ฒœ์‚ฌ ๊ฐ™์€ ํ˜•์ƒ๋“ค์ด ๋–  ์žˆ์—ˆ๋‹ค.

์ด ์ด๋ฏธ์ง€๋Š” ๊ด‘๋ฒ”์œ„ํ•œ ๋ถ„๋…ธ๋ฅผ ์ผ์œผ์ผฐ๋‹ค. ๊ฐ€ํ†จ๋ฆญ ์‹ ์ž๋“ค๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋งŽ์€ ๋ณต์Œ์ฃผ์˜ ๊ธฐ๋…๊ต์ธ๋“ค๊นŒ์ง€๋„ ์ด๋ฅผ โ€œ์‹ ์„ฑ๋ชจ๋…(blasphemy)โ€œ์— ๊ฐ€๊น๋‹ค๊ณ  ๋น„ํŒํ–ˆ๋‹ค. ํ•œ ๊ธฐ๋…๊ต์ธ์€ โ€œ๊ทธ๋Š” ๋‚˜์˜ ์ฃผ๋‹˜์ด์ž ๊ตฌ์›์ž์ด์‹  ์˜ˆ์ˆ˜ ๊ทธ๋ฆฌ์Šค๋„๋ฅผ ์กฐ๋กฑํ•˜๊ณ  ์žˆ๋‹คโ€๊ณ  ๋งํ–ˆ๋‹ค. ํŠธ๋Ÿผํ”„๋Š” ๋‚˜์ค‘์— ์ž์‹ ์ด โ€œ์˜์‚ฌ์ฒ˜๋Ÿผ ๋ณด์ด๋ ค ํ–ˆ๋‹คโ€๊ณ  ์ฃผ์žฅํ–ˆ์ง€๋งŒ, ๋ชจ์ฝ” ๋ฆฌ์น˜ ๊ธฐ์ž๋Š” ์•„๋ฌด๋„ ์ด ์ฃผ์žฅ์„ ๋ฏฟ์ง€ ์•Š์•˜๋‹ค๊ณ  ์ „ํ–ˆ๋‹ค.

JD ๋ฐด์Šค ๋ถ€ํ†ต๋ น์˜ โ€˜๊ตํ™ฉ ํ›ˆ๊ณ„โ€™

์ด๋Ÿฌํ•œ ์ƒํ™ฉ์—์„œ ํŠธ๋Ÿผํ”„ ํ–‰์ •๋ถ€๋Š” ๊ตํ™ฉ์— ๋Œ€ํ•œ ์ ๋Œ€์ ์ธ ์ ‘๊ทผ ๋ฐฉ์‹์„ ๋”์šฑ ๊ฐ•ํ™”ํ•˜๋Š” ๋“ฏ ๋ณด์˜€๋‹ค. ํŠนํžˆ ํ–‰์ •๋ถ€ ๋‚ด์—์„œ ๊ฐ€์žฅ ์ €๋ช…ํ•œ ๊ฐ€ํ†จ๋ฆญ ์‹ ์ž์ธ JD ๋ฐด์Šค(JD Vance) ๋ถ€ํ†ต๋ น์ด ๋‚˜์„ฐ๋‹ค. ๋ฐด์Šค ๋ถ€ํ†ต๋ น์€ ๊ตํ™ฉ์—๊ฒŒ โ€œ์‹ ํ•™์  ๋ฌธ์ œ์— ๋Œ€ํ•ด ์‹ ์ค‘ํ•ด์•ผ ํ•œ๋‹คโ€๋ฉฐ โ€œ๋ณต์Œ ์ „ํŒŒ์—๋งŒ ์ง‘์ค‘ํ•˜๋ผโ€๊ณ  ํ›ˆ๊ณ„ํ•˜๋Š” ๋“ฏํ•œ ๋ฐœ์–ธ์„ ํ–ˆ๋‹ค. ๊ทธ๋Š” โ€œํ•˜๋‚˜๋‹˜์€ ์นผ์„ ํœ˜๋‘๋ฅด๋Š” ์ž์˜ ํŽธ์— ์„œ์ง€ ์•Š๋Š”๋‹คโ€๋Š” ๊ตํ™ฉ์˜ ๋ฉ”์‹œ์ง€์— ๋Œ€ํ•ด, โ€œํ•˜๋‚˜๋‹˜์€ ๋‚˜์น˜๋กœ๋ถ€ํ„ฐ ํ”„๋ž‘์Šค๋ฅผ ํ•ด๋ฐฉ์‹œํ‚จ ๋ฏธ๊ตญ์ธ์˜ ํŽธ์— ์„œ์ง€ ์•Š์•˜๋Š”๊ฐ€?โ€๋ผ๊ณ  ๋ฐ˜๋ฌธํ•˜๋ฉฐ ์ด๋ž€ ์ „์Ÿ์ด โ€˜์ •์˜๋กœ์šด ์ „์Ÿ(Just War)โ€˜์ด๋ผ๊ณ  ์ฃผ์žฅํ–ˆ๋‹ค.

๊ฐ€ํ†จ๋ฆญ์œผ๋กœ ๊ฐœ์ข…ํ•œ ์ง€ ์–ผ๋งˆ ๋˜์ง€ ์•Š์€ ๋ถ€ํ†ต๋ น์ด ํ‰์ƒ ๊ฐ€ํ†จ๋ฆญ ์‹ ์ž์ด์ž ๊ฐ€ํ†จ๋ฆญ ๊ตํšŒ์˜ ์ˆ˜์žฅ์ธ ๊ตํ™ฉ์—๊ฒŒ ๊ฐ€ํ†จ๋ฆญ ์‹ ํ•™์„ ๊ฐ€๋ฅด์น˜๋ ค ๋“œ๋Š” ๊ฒƒ์€ ๋งค์šฐ ์ด๋ก€์ ์ด์—ˆ๋‹ค. ๊ตํ™ฉ์€ ๋ฐด์Šค ๋ถ€ํ†ต๋ น์˜ ์ฃผ์žฅ์— ๋Œ€ํ•ด ์ด๋ž€ ์ „์Ÿ์€ โ€˜์ •์˜๋กœ์šด ์ „์Ÿโ€™์œผ๋กœ ๋ณผ ์ˆ˜ ์—†์œผ๋ฉฐ, ๋ฌด๊ณ ํ•œ ์‚ฌ๋žŒ๋“ค์„ ์œ„ํ•ด ๋ชฉ์†Œ๋ฆฌ๋ฅผ ๋‚ด์•ผ ํ•œ๋‹ค๊ณ  ๊ฐ•์กฐํ•  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋œ๋‹ค. ๊ทธ๋Š” ์ด๋ž€ ์ •๊ถŒ์˜ ์–ต์••์— ๋ฐ˜๋Œ€ํ•˜์ง€ ์•Š์ง€๋งŒ, ๋Œ€ํ™”์™€ ํ‰ํ™”๋ฅผ ํ†ตํ•ด ๋ชฉํ‘œ๋ฅผ ๋‹ฌ์„ฑํ•ด์•ผ ํ•œ๋‹ค๊ณ  ์ฃผ์žฅํ•œ๋‹ค.

๋ฐด์Šค ๋ถ€ํ†ต๋ น์€ ๊ตํ™ฉ์ด ์ •์น˜์— ๊ฐœ์ž…ํ•ด์„œ๋Š” ์•ˆ ๋œ๋‹ค๊ณ  ๋น„ํŒํ–ˆ์ง€๋งŒ, ๊ตํ™ฉ์€ ์ด๋ฅผ ๊ธฐ๋…๊ต์˜ ๊ทผ๋ณธ ์›๋ฆฌ์ธ โ€˜ํ‰ํ™”โ€™๋ฅผ ์‹ค์ฒœํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์ดํ•ดํ•˜๊ณ  ์žˆ๋‹ค. ํŠธ๋Ÿผํ”„ ํ–‰์ •๋ถ€๋Š” ์ด๋ž€์—์„œ ์‚ฌ๋งํ•œ ์‹œ์œ„์ž ์ˆ˜๋ฅผ ์–ธ๊ธ‰ํ•˜๋ฉฐ ๊ตํ™ฉ์„ ์„ค๋“ํ•˜๋ ค ๋“ค์—ˆ์ง€๋งŒ, ๊ตํ™ฉ์€ ์ž์‹ ์˜ ๊ฐ€์น˜๋ฅผ ๊ณ ์ˆ˜ํ–ˆ๋‹ค.

๋ฏธ๊ตญ์ธ ๊ตํ™ฉ์˜ ๋…ํŠนํ•œ ์œ„์น˜์™€ ํŠธ๋Ÿผํ”„์˜ ๋”œ๋ ˆ๋งˆ

ํŠธ๋Ÿผํ”„ ํ–‰์ •๋ถ€๊ฐ€ ๊ตํ™ฉ์˜ ์˜๊ฒฌ์— ๊ทธํ† ๋ก ์‹ ๊ฒฝ ์“ฐ๋Š” ์ด์œ ๋Š” ๋ถ„๋ช…ํ•˜๋‹ค. ๋ฏธ๊ตญ ๋‚ด 5์ฒœ๋งŒ ๋ช… ์ด์ƒ์˜ ๊ฐ€ํ†จ๋ฆญ ์‹ ์ž๋“ค์ด ํŠธ๋Ÿผํ”„์—๊ฒŒ ์ค‘์š”ํ•œ ์ง€์ง€์ธต์ด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๊ตํ™ฉ์€ ์ง€๊ตฌ์ƒ์—์„œ ๊ฐ€์žฅ ๋„๋ฆฌ ์ธ์ •๋ฐ›๋Š” ๊ธฐ๋…๊ต ์ง€๋„์ž์ด์ž ์•„๋งˆ๋„ ๋‹ฌ๋ผ์ด ๋ผ๋งˆ๋ฅผ ์ œ์™ธํ•˜๋ฉด ๊ฐ€์žฅ ์ธ์ •๋ฐ›๋Š” ์˜์  ์ง€๋„์ž์ผ ๊ฒƒ์ด๋‹ค. ๊ทธ์˜ ๊ฐ•๋ ฅํ•œ ๋ฐ˜๋Œ€ ์˜๊ฒฌ์€ ํŠธ๋Ÿผํ”„ ํ–‰์ •๋ถ€๊ฐ€ ์ „์Ÿ์„ ์ •๋‹นํ™”ํ•˜๋ ค๋Š” ๋…ธ๋ ฅ์— ํฐ ํƒ€๊ฒฉ์„ ์ค„ ์ˆ˜๋ฐ–์— ์—†๋‹ค.

ํŠนํžˆ ๊ตํ™ฉ ๋ ˆ์˜ค 14์„ธ๊ฐ€ ๋ฏธ๊ตญ ์ถœ์‹ ์ด๋ผ๋Š” ์ ์€ ํŠธ๋Ÿผํ”„ ํ–‰์ •๋ถ€๊ฐ€ ๊ทธ์˜ ๊ฒฌํ•ด๋ฅผ ๋ฌด์‹œํ•˜๊ธฐ ์–ด๋ ต๊ฒŒ ๋งŒ๋“ ๋‹ค. ํ”„๋ž€์น˜์Šค์ฝ” ๊ตํ™ฉ์ด๋‚˜ ๋‹ค๋ฅธ ์ด์ „ ๊ตํ™ฉ๋“ค์ฒ˜๋Ÿผ โ€œ์ด ์‚ฌ๋žŒ์€ ์šฐ๋ฆฌ๋ฅผ ์ดํ•ด ๋ชป ํ•œ๋‹คโ€๊ฑฐ๋‚˜ โ€œ๋ฏธ๊ตญ ์ •์น˜๋ฅผ ๋ชจ๋ฅธ๋‹คโ€๊ณ  ์น˜๋ถ€ํ•  ์ˆ˜ ์—†๋‹ค. ๊ทธ๋Š” ์‹œ์นด๊ณ  ๋ฏธ๋“œ์›จ์ŠคํŠธ ์ถœ์‹ ์œผ๋กœ, ๋ฏธ๊ตญ์˜ ๋‹นํŒŒ์  ์ •์น˜๋ฅผ ๊นŠ์ด ์ดํ•ดํ•˜๊ณ  ์žˆ๋Š” ์ธ๋ฌผ์ด๋‹ค.

๊ตํ™ฉ ๋ ˆ์˜ค 14์„ธ ๋ณธ์ธ์—๊ฒŒ๋„ ๊ทธ์˜ โ€˜๋ฏธ๊ตญ์ธ๋‹ค์›€โ€™์ด ์ •์น˜์  ๋…ผ์Ÿ์— ํœ˜๋ง๋ฆด๊นŒ ํ•˜๋Š” ์šฐ๋ ค๊ฐ€ ์žˆ์—ˆ๋‹ค. ํ•˜์ง€๋งŒ ๊ทธ๋Š” ์ด์ œ ํ”ผํ•  ์ˆ˜ ์—†๋Š” ์—ญํ• ์„ ๋ฐ›์•„๋“ค์ด๋Š” ๋“ฏํ•˜๋‹ค. ๊ทธ๋Š” ์ „์šฉ๊ธฐ์—์„œ ํŠธ๋Ÿผํ”„์— ๋Œ€ํ•œ ์ง์ ‘์ ์ธ ๋ฐœ์–ธ์„ ํ•œ ํ›„, ๋‹ค์‹œ ์•Œ์ œ๋ฆฌ ๋ฐฉ๋ฌธ์˜ ๊ธฐ์จ๊ณผ ๋‹ค์ˆ˜ ์ด์Šฌ๋žŒ ๊ตญ๊ฐ€์—์„œ ํ™”ํ•ฉ๊ณผ ํ‰ํ™”์˜ ๊ตํ›ˆ์„ ๋ฐฐ์šธ ์ˆ˜ ์žˆ์—ˆ๋‹ค๋Š” โ€˜๊ฐ„์ ‘์ โ€™์ด๊ณ  โ€˜๊ฐ€์น˜ ์ค‘์‹ฌ์ โ€™์ธ ๋ฉ”์‹œ์ง€๋กœ ๋Œ์•„์™”๋‹ค. ์ด๋Š” ๊ตํ™ฉ์ด โ€˜๋ฉ”์‹œ์ง€ ๊ทœ์œจ(Message Discipline)โ€˜์„ ํ†ตํ•ด ์ง„ํ™ํƒ• ์‹ธ์›€์— ๋จธ๋ฌด๋ฅด๊ธฐ๋ณด๋‹ค ์ž์‹ ์˜ ํ•ต์‹ฌ ๊ฐ€์น˜๋ฅผ ํ†ตํ•ด ์Šค์Šค๋กœ๋ฅผ ๋“œ๋Ÿฌ๋‚ด๋ ค ํ•œ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค€๋‹ค.

๊ฒฐ๋ก : ํ˜‘๋ฐ•ํ•  ์ˆ˜ ์—†๋Š” ์˜์  ์ง€๋„์ž

๋ชจ์ฝ” ๋ฆฌ์น˜ ๊ธฐ์ž์˜ ์„ค๋ช…์— ๋”ฐ๋ฅด๋ฉด, ํŠธ๋Ÿผํ”„ ๋Œ€ํ†ต๋ น์˜ ์ „ํ˜•์ ์ธ ๊ณต๊ฒฉ ๋ฐฉ์‹์€ ๊ตํ™ฉ์—๊ฒŒ๋Š” ํ†ตํ•˜์ง€ ์•Š๋Š”๋‹ค๋Š” ์ ์ด ๋ช…ํ™•ํ•˜๋‹ค. ํŠธ๋Ÿผํ”„๋Š” ๊ตํ™ฉ์„ ์ •์น˜์  ์ƒ๋Œ€๋ฐฉ์—๊ฒŒ ์‚ฌ์šฉํ•˜๋Š” ๋ฐฉ์‹๋Œ€๋กœ ๋น„๋‚œํ–ˆ์ง€๋งŒ, ๊ตํ™ฉ ๋ ˆ์˜ค 14์„ธ๋Š” ์ •์น˜์ธ์ด ์•„๋‹ˆ๋ผ ์ „ ์„ธ๊ณ„ 14์–ต ๊ฐ€ํ†จ๋ฆญ ์‹ ์ž์˜ ์˜์  ์ง€๋„์ž๋‹ค. ๊ทธ๋Š” ํŠน์ • ๊ตญ๊ฐ€์˜ ์ง€๋„์ž๋กœ์„œ ํ–‰๋™ํ•˜๊ธฐ๋ณด๋‹ค, ๋ชจ๋“  ๊ฐ€ํ†จ๋ฆญ ์‹ ์ž๋“ค์˜ ๋ฆฌ๋”๋กœ์„œ ๊ตํšŒ๋ฅผ ๋ถ„์—ด์‹œํ‚ค๊ธฐ๋ณด๋‹ค ํ†ตํ•ฉํ•˜๋ ค ๋…ธ๋ ฅํ•œ๋‹ค.

๊ตํ™ฉ์€ ๋ฌด์—‡๋ณด๋‹ค ์ข…๊ต ์ง€๋„์ž๋กœ์„œ์˜ ์†Œ๋ช…์— ์ถฉ์‹คํ•˜๋ฉฐ, ํ‰ํ™”์™€ ๋‹จํ•ฉ, ๋Œ€ํ™”๋ฅผ ๊ฐ•์กฐํ•˜๋Š” ์ผ๊ด€๋œ ๊ฐ€์น˜๋ฅผ ์„คํŒŒํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฉ”์‹œ์ง€๊ฐ€ ์ž์‹ ์˜ ํ–‰๋™์— ๋Œ€ํ•œ ๊ธฐ๋…๊ต ์ง€๋„์ž์˜ ์Šน์ธ์„ ๊ฐˆ๋งํ•˜๋Š” ํŠธ๋Ÿผํ”„ ํ–‰์ •๋ถ€๋ฅผ ์ž๊ทนํ–ˆ๊ณ , ๊ฒฐ๊ตญ ๊ฐˆ๋“ฑ์€ ๊ตํ™ฉ์—๊ฒŒ ์ฐพ์•„์˜ฌ ์ˆ˜๋ฐ–์— ์—†์—ˆ๋‹ค. ํŠธ๋Ÿผํ”„๋Š” ๋‹ค๋ฅธ ์„ธ๊ณ„ ์ง€๋„์ž๋“ค์„ ํ˜‘๋ฐ•ํ•˜์—ฌ ์ž์‹ ์˜ ์ž…์žฅ์„ ๋ฐ”๊พธ๊ฒŒ ํ•  ์ˆ˜ ์žˆ์—ˆ์ง€๋งŒ, ๊ตํ™ฉ์—๊ฒŒ๋Š” ๊ทธ๋Ÿฌํ•œ ๊ถŒ๋ ฅ์ด ํ†ตํ•˜์ง€ ์•Š๋Š”๋‹ค. ๊ตํ™ฉ์€ ๋ณด๋ณต์ด๋‚˜ ์œ ๊ถŒ์ž๋“ค์˜ ์‹ฌํŒ์„ ๋‘๋ ค์›Œํ•˜์ง€ ์•Š๋Š” ๋…ํŠนํ•œ ์œ„์น˜์— ์žˆ๋‹ค. ๊ทธ๋Š” ๊ฐ•๋ ฅํ•˜๊ฒŒ ๋ชฉ์†Œ๋ฆฌ๋ฅผ ๋‚ด๋ฉฐ โ€œ๋‘๋ ต์ง€ ์•Š๋‹คโ€๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค.

์ด๋Ÿฌํ•œ ์ƒํ™ฉ์€ ๊ตํ™ฉ ๋ ˆ์˜ค 14์„ธ๊ฐ€ ์›์น˜ ์•Š์•˜์„์ง€๋ผ๋„, ๊ทธ๊ฐ€ ํŠธ๋Ÿผํ”„์— ๋Œ€ํ•œ ๋งค์šฐ ๋ช…ํ™•ํ•œ โ€˜๋Œ€์•ˆ์  ์ธ๋ฌผ(foil)โ€˜์ด ๋˜์—ˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค. ํ•œํŽธ, ๋ฏธ๊ตญ ์ฃผ๊ต๋‹จ ๊ต๋ฆฌ์œ„์›ํšŒ๋Š” ๋ฐด์Šค ๋ถ€ํ†ต๋ น์˜ ๋ฐœ์–ธ์— ๋Œ€ํ•ด โ€œ๊ตํ™ฉ ๋ ˆ์˜ค๊ฐ€ ๋งํ•  ๋•Œ, ๊ทธ๋Š” ๋‹จ์ˆœํžˆ ์‹ ํ•™์  ๊ฒฌํ•ด๋ฅผ ์ œ์‹œํ•˜๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ ๋ณต์Œ์„ ์„ค๊ตํ•˜๋Š” ๊ฒƒโ€์ด๋ผ๊ณ  ๋ฐ˜๋ฐ•ํ•˜๋ฉฐ ๊ตํ™ฉ์˜ ์ž…์žฅ์„ ๋”์šฑ ๊ณต๊ณ ํžˆ ํ–ˆ๋‹ค.


[์˜ค๋Š˜์˜ ๋‹ค๋ฅธ ์†Œ์‹]

์ˆ˜์š”์ผ S&P 500 ์ง€์ˆ˜๊ฐ€ ์‚ฌ์ƒ ์ตœ๊ณ ์น˜๋ฅผ ๊ธฐ๋กํ•˜๋ฉฐ ์›”์ŠคํŠธ๋ฆฌํŠธ๊ฐ€ ์ด๋ž€๊ณผ์˜ ์˜๊ตฌ์ ์ธ ํ‰ํ™” ํ˜‘์ƒ ํƒ€๊ฒฐ์— ๋Œ€ํ•ด ๋‚™๊ด€ํ•˜๊ณ  ์žˆ์Œ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ์ด๋ž€ ์ „์Ÿ ์ค‘ ์†์‹ค๋ถ„์„ ๋ชจ๋‘ ๋งŒํšŒํ–ˆ์œผ๋ฉฐ, ์ˆ˜์š”์ผ์˜ ์ƒ์Šน์œผ๋กœ ์ „์Ÿ ๋ฐœ๋ฐœ ์ „๋ณด๋‹ค 2% ๋†’์€ ์ˆ˜์ค€์„ ๊ธฐ๋กํ–ˆ๋‹ค. ํŒŒํ‚ค์Šคํƒ„ ๊ณ ์œ„ ์ค‘์žฌ์ž๋“ค์€ ํœด์ „ ๋งŒ๋ฃŒ ์ „์— ํ˜‘์ƒ์„ ๊ฐ•ํ™”ํ•˜๊ธฐ ์œ„ํ•ด ์ˆ˜์š”์ผ ํ…Œํ—ค๋ž€์— ๋„์ฐฉํ–ˆ๋‹ค. ์–‘์ธก์€ ํŒŒํ‚ค์Šคํƒ„์„ ํ†ตํ•ด ๊ณ„์† ๋ฉ”์‹œ์ง€๋ฅผ ๊ตํ™˜ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ๋ฐฑ์•…๊ด€์€ ํ˜‘์ƒ ํƒ€๊ฒฐ์— ๋Œ€ํ•ด ๋‚™๊ด€์ ์ธ ์ž…์žฅ์„ ๋ฐํ˜”๋‹ค.