The AGI Nuclear Winter: Which Industries Are Becoming Non-Performing Assets?

A 30-Year Risk Veteran’s Checklist—When Talent Can Be Synthesized and Offices Can Be Compressed, How Deep Is Your Moat?

Prologue: A Silent Collapse of Value

Hello, I’m the financial veteran from [FinSages].

The date is February 3rd, 2026. The world outside my window appears calm and orderly. The subways are still crowded, and the lights in office buildings burn as bright as ever. But as a veteran who has spent thirty years immersed in the field of risk management, my intuition is sounding a sharp, piercing alarm.

A collapse of value, far more profound and insidious than any financial crisis, is unfolding silently around us. It doesn’t arrive with a thunderous explosion like the fall of Lehman Brothers in 2008. Instead, it feels more like a quiet, creeping frost. I call it the AGI Nuclear Winter.

To help you understand the chill of this “winter,” allow me to begin with a stark case study that unfolded close to home.

Just last month, a relative of mine—a brilliant young man I’ve watched grow up, let’s call him Li—faced an unexpected turn. His resume was flawless: a master’s degree in finance from a top-tier university, followed by a hard-won position at a leading strategy consulting firm in Shanghai. In the eyes of my generation, his life was a perfect chart, trending sharply upward.

Then, just before the Lunar New Year, he was suddenly “optimized” by his company.

At first, I assumed it was a standard last-in-first-out layoff due to the challenging economic climate. But after a deep conversation with him, I realized the situation was far more brutal than I had imagined.

Li wasn’t laid off for a lack of effort; on the contrary, he was the ultimate grinder in his department. Nor was it due to poor performance. The real reason was that his entire department of junior analysts, about twenty people, was replaced wholesale by an internal AI system named “Athena.”

During his exit interview, the HR manager said something that sends a shiver down my spine to this day. She said, “Li, we truly value your abilities. However, from the perspective of the company’s balance sheet, your ‘PowerPoint creation assets’ and ‘data analysis assets’ can no longer cover your high labor costs.”

“Assets”—I urge you to focus on that word.

This is not a simple story of “AI replacing humans.” This is an extremely dangerous financial signal. It signifies that the intangible assets we have believed in for the past three decades—assets accumulated through hard work and meant to last a lifetime, such as your prestigious degree, your professional certifications, the PowerPoint skills honed through countless sleepless nights—are now being subjected to an “impairment provision” at a speed we never thought possible.

They are shifting from “prime assets” on your personal balance sheet to rapidly decaying “non-performing assets.”

As a risk management veteran, my entire career has revolved around dealing with assets. I have audited over ten thousand companies and assessed countless forms of collateral. I know that the true risk to a business isn’t found in its current profits, but in whether its core, life-sustaining assets are becoming obsolete.

Today, I want to apply this corporate risk assessment framework to each of us as individuals.

Together, we will draw a “risk map” for the AGI era to identify the industries and assets that are currently, or are about to become, “stranded.” This isn’t just about whether we will lose our jobs. It has profound implications for our wealth allocation, our children’s education, and our life strategies for the next twenty years.

Because in this great value re-evaluation triggered by AGI, the most terrifying fate is not being eliminated. It’s clinging to a portfolio of depreciating, non-performing assets, all while believing you are safe behind a protective moat.

Chapter 1: The First Wave—The Liquidation of “Cognitive Assets”

So, what is the first category of assets to be impacted and liquidated?

The answer is: cognitive assets.

Let me define this term. Cognitive assets are the structured knowledge and skills stored in our brains, acquired through years of learning and deliberate practice, which can be exchanged for value.

Examples include a programmer’s ability to write code, a lawyer’s command of legal statutes, an accountant’s skill in bookkeeping, or a designer’s proficiency with Photoshop. These are the precious assets we’ve earned through more than a decade of rigorous education and countless nights of overtime. In the past, these assets were stable. The more proficient your skills, the higher your value.

But in 2026, AGI acts as a colossal “asset appraiser,” re-pricing these cognitive assets with cold, relentless efficiency. And for many, the result is catastrophic.

1. The Twilight of the “Code Laborer”

Let’s start with the once-brightest stars of our era: programmers.

The recent bubble in “compute debt” has had a significant byproduct: it has fueled the hyper-evolution of AI programmers like Devin and Cursor at a frantic, cost-is-no-object pace. Today, a mid-level AI coding assistant can understand vague, natural-language requirements and autonomously generate over 90% of the necessary engineering code, even debugging and deploying it.

What does this mean?

It means that when AI can supply the product of “code” in infinite quantities at near-zero marginal cost, the craft of “manual coding”—once a rare and valuable cognitive asset—is destined for a market value collapse. It’s analogous to a craftsman who meticulously hand-forges screws in an age where machines can produce ten thousand standardized screws per hour. No matter how exquisite his craftsmanship, the value of his labor is inevitably diluted to near-nothing.

So, which programmers are seeing their cognitive assets turn into non-performing assets?

It is the group I call “code laborers.” Their daily work consists of executing clear instructions from a blueprint already drawn by a product manager. Their core value lies in the proficient memorization and application of various programming languages, frameworks, and libraries. They are the implementers of “How.”

In the AGI era, this is precisely what AI excels at. It is the perfect “code laborer”—flawless memory, tireless, and infallible.

Consequently, the core competency for programmers is undergoing a profound “value shift.” It’s no longer about “how fast you can write” but “how precisely you can define.” The real value now lies with the “software architects” or “product philosophers” who can think beyond the code and ask “Why.” Their skill is translating the messy, ambiguous business world into clear, unambiguous logical instructions for an AI to execute.

If you are still worrying about memorizing Python library functions or taking pride in pulling all-nighters to churn out business logic, I must give you a stark warning: you are clinging to a rapidly depreciating asset. Your moat is much shallower than you think.

2. The Devaluation of the “Document Artisan”

The same value collapse is happening in another field once considered a secure “golden rice bowl”: professional services, represented by lawyers, accountants, and consultants.

What are the core cognitive assets in these professions? The ability to process vast quantities of structured text. The value of a junior lawyer lies in spotting risky clauses in a 300-page contract. The value of a junior accountant is in turning a pile of receipts into a compliant financial statement. The value of a junior consultant is in populating a polished methodology PowerPoint with client needs and industry data.

From 2025 to 2026, I have been closely monitoring the layoff trends at top-tier law firms, the Big Four accounting firms, and MBB consulting firms. I’ve found a striking commonality: the overwhelming majority of those let go are junior-level professionals whose jobs revolved around contract review, financial analysis, and due diligence. Just like my relative, Li.

Why? Because AI has become the perfect “document artisan.”

In 2026, an AI system equipped with a legal large language model can review a 200-page English investment agreement in 30 seconds. It not only flags all risk points but also links them to relevant case law and can even draft revision suggestions based on your position. Its efficiency is hundreds of times that of a human legal team, at a negligible cost.

In the face of this dimensional strike, the “contract libraries” of lawyers and the “methodology PowerPoints” of consultants—once considered core intellectual property—are rapidly being commoditized. They are transforming from expensive, billable-by-the-hour “professional services” into cheap, on-demand “cloud functions.”

This isn’t to say the professions of lawyer or consultant will vanish. On the contrary, top-tier practitioners will become even more valuable. When AI handles all the standardized paperwork, human value concentrates in areas that cannot be replicated: perceiving subtle emotional shifts at the negotiation table, designing an unprecedentedly complex transaction structure, or providing clients with the psychological assurance and strategic courage that only a human can offer.

But for the young professionals whose career path is still defined by “proficient document handling,” their cognitive assets are being liquidated from under them.

3. The Disillusionment of the “Data Analyst”

The third heavily impacted role is the once-sizzling “data analyst.” Not long ago, knowing SQL, Python, and data visualization tools was a golden ticket into major tech companies and a synonym for a high salary.

But today, the cognitive assets of this industry are also undergoing a violent re-evaluation.

Consider this real-world scenario. Previously, if a CEO wanted to know the average order value and repurchase rate of new female customers aged 25-35 in Eastern China who bought product A but not product B last quarter, it would require a team of data analysts. They would write hundreds of lines of SQL, clean the data with Python, and spend half a day creating a report in Tableau. The process could take two days.

Today, that same CEO can simply open the company’s internal BI system and ask the question in plain language to a conversational AI. Three minutes later, a perfect, interactive chart appears. He can even ask follow-up questions, like, “Now compare them to a similar group in Southern China and tell me the top three probable reasons for the difference.” The AI will immediately conduct a deep-dive attribution analysis.

When “data extraction” and “preliminary analysis” can be done instantly, where is the value for data analysts whose primary moat is “tool proficiency”? Their cognitive assets are being rapidly compressed.

Of course, like the other two fields, top-tier data scientists remain scarce. Their value isn’t in “using tools” but in their ability to start from the essence of the business and ask the right questions. But for the vast majority who are merely “data pullers” and “report builders,” their skills are becoming a liability.

This reminds me of the ancient Chinese parable of “Pao Ding Cutting Up an Ox” from the Zhuangzi. In the past, we all revered Pao Ding’s masterful knife skills—his “technique” (术, shù). We believed that perfecting the technique was the key to success. But in the AGI era, the machine is the perfect Pao Ding, having mastered every standardized technique.

Where, then, does human value lie? It is no longer in the knife, but in the butcher’s eye—in the “Dao” (道), the profound understanding of the ox’s underlying anatomy that transcends technique.

The first wave of impact is liquidating all cognitive assets that reside at the level of “technique.” Whether it’s code, legal clauses, or data, if it’s structured and follows rules, it will inevitably be replaced by AI at a lower cost and higher efficiency. And this is just the beginning.

Chapter 2: The Second Wave—The Dissolution of “Intermediary Assets”

If the first wave liquidated the “cognitive assets” stored inside our brains, the second wave takes aim at the foundational architecture of our commercial society. It seeks to liquidate the “intermediary assets” that connect people, information, and services. This is no longer just an adjustment on an individual’s balance sheet; it is a systemic bankruptcy and restructuring of the entire economic ecosystem.

In my thirty years of risk management, I’ve learned to view every business model as a type of asset. The core value of “intermediary assets” is rooted in an ancient and fertile ground: asymmetry. Information asymmetry makes knowledge expensive. Trust asymmetry creates the need for guarantees and endorsements. Spatial asymmetry gives geographical location its commercial power. For millennia, countless empires of wealth have been built upon these asymmetries, establishing tollbooths on the canyons of imbalance.

However, AGI is the ultimate symmetry machine. Like a relentless, million-year rainstorm, it is eroding and ultimately leveling the value trenches created by asymmetry. When information, trust, and space can be replicated and reconfigured by technology at near-zero marginal cost, those once-impenetrable tollbooths become obsolete, stranded assets overnight.

1. The End of the Information Gap: Finance and Education

I still vividly remember in the late 1990s, an industry research report from a renowned international investment bank, printed on glossy paper, was treated like a sacred text. That thick stack of paper represented a monopoly on information and was a critical factor in a bank’s decision to issue a hundred-million-yuan loan. Access to that information was power, and the intermediaries who controlled its distribution were the gatekeepers.

Today, that business model is collapsing at an unimaginable speed. An ordinary investor can now have a personal AI assistant that, in seconds, scans the latest financial reports of thousands of public companies, cross-references hundreds of thousands of news articles and social media sentiment data, and even analyzes satellite imagery of a Brazilian iron ore port to predict commodity trends.

Even more powerfully, this AI can learn the investor’s spending habits, risk appetite, and thirty-year financial plan to generate a fully personalized, emotionally unbiased asset allocation strategy that adjusts 24/7. In the face of such absolute rationality and omniscience, what is the value proposition of financial professionals who act merely as human information relays? Their “information gap” is being compressed by AGI to a mathematical limit approaching zero.

The same value dissolution is occurring, perhaps more profoundly, in education. The core asset of traditional educational institutions is essentially a right of “information brokerage.” They package human knowledge into standardized products called “courses” and “degrees,” distributed through the intermediary of “teachers” in a broadcast model. This system relies on the scarcity of knowledge and the monopoly of distribution channels.

AGI shatters both monopolies. When a child in a remote mountain village can connect via a cheap smart device to an AI-powered “virtual tutor” that emulates Socrates or Feynman, the cost of acquiring knowledge drops to zero. This tutor can analyze the child’s every question and hesitation to pinpoint knowledge gaps and dynamically generate the most suitable learning content. In the face of such hyper-personalized “knowledge irrigation,” our one-size-fits-all classroom model appears clumsy and inefficient. Education is transforming from an expensive “fixed asset” monopolized by a few institutions into a “liquid asset,” like water or electricity, available on demand.

2. The Restructuring of the Trust Gap: Sales and Marketing

If the information gap can be closed, can the more subtle and complex gap of “trust” also be re-engineered by machines? This brings us to the second area being dismantled: sales, marketing, and professional services built on the “trust gap.”

Traditionally, a salesperson’s core value was bridging the “trust gap” between a customer and an unfamiliar product through charisma and expertise. In 2026, a top-tier AI digital sales agent can do this better. It can analyze a customer’s voice patterns, speech pace, and even micro-expressions in real time to accurately gauge their needs and doubts. It is never tired, never emotional.

A friend of mine who sells high-end medical equipment recently expressed his deep anxiety. He used to close deals based on the personal trust he built with hospital directors. Now, hospitals first use a specialized medical AI to conduct a comprehensive technical and cost-benefit analysis of all competing devices. The AI’s report—deeply objective and thorough—is becoming the new “certificate of trust.” His carefully cultivated “relationship assets” are being rapidly written down.

This marks a profound shift: the logic of building commercial trust is moving from being “relationship-oriented” to “data-oriented.”

3. The Compression of the Spatial Gap: Commercial Real Estate

Finally, let’s turn our gaze from the virtual to the physical world. The third, and most “heavy,” class of intermediary assets being dissolved by AGI is commercial real estate, which is built on the “spatial gap.”

Why have companies historically paid a fortune for office space in city centers? Because physical space was the most efficient “management and collaboration intermediary.” It solved the problems of supervision and communication by physically corralling people together.

But AGI, along with the ubiquitous cloud collaboration tools it powers, is dismantling this logic. When a global team can achieve more effective “asynchronous collaboration” in a virtual space managed by an AI project manager, and when a manager’s AI assistant can generate a more objective performance report than what they could see with their own eyes, the expensive physical office space becomes a questionable expense.

It is transforming from a “productive asset” that creates value into a “consumptive liability” that drains cash flow. We are witnessing an epic “asset migration.” Corporate budgets are visibly shifting from “rent” to “compute.” The downtown office building, designed for standardized knowledge work, is becoming one of the most prominent and dangerous “non-performing assets” of our time.

Using the “Four Forces Model,” AGI is the powerful “Evolutionary Force” reshaping the landscape. It imposes a massive “Contraction Force” on all intermediary industries by eliminating asymmetries. In response, a “Balancing Force” from society will emerge—new regulations, new labor laws—to cushion the shock. And amidst this turmoil, a new “Expansion Force” is germinating, not in the old value territories, but in the new ones carved out by AGI.

But the next wave of impact will be even more profound. It will not just strike our external careers and finances; it will knock on the door of our inner selves.

Chapter 3: The Third Wave—The Shaking of “Philosophical Assets”

If the first two waves were surgical strikes, excising our outdated skills and inefficient business models, the third wave is more like a pervasive chemical reaction that changes the very air we breathe. It seeks to liquidate the grand narratives about success and value that form the bedrock of our society—what I call our “philosophical assets.”

These assets aren’t line items on a spreadsheet, but they are far more fundamental. They are our life’s operating system, our mental imprints in the face of uncertainty. Yet, as AGI reshapes the world, the logical foundations of our most cherished beliefs are quietly being pulled away.

1. The Stranding of the “Narrative of Striving”

Using the “prism of human nature,” we see that my generation grew up within a stable and linear “narrative of striving.” The core belief was: knowledge changes destiny, and hard work pays off. The path was sacred and clear: get into a good university, earn valuable certifications, join a good company, and climb the corporate ladder one step at a time. This belief system was our most precious philosophical asset, our psychological ballast against the storms of life.

AGI, however, is a rude intruder that has disrupted this finite game. It has democratized knowledge and automated much of the “hard work.” A recent graduate, average in talent but adept with AI tools, can produce a market analysis report in an afternoon that surpasses the quality of one that took a top-tier consultant a week of manual overtime to create.

This is not to devalue effort, but to challenge its direction. When machines can flawlessly execute the “How,” human value shifts entirely to defining the “What” and asking “Why.” Our old narrative of striving is becoming a dangerous non-performing asset because it encouraged a form of thoughtless, “tactical diligence.” In the age of AGI, such diligence is a form of strategic laziness.

2. The Collapse of the “Narrative of Certainty”

Human nature craves stability and predictability. A stable career and a clear promotion path were our psychological anchors. This obsession with certainty was effective in the industrial age, where careers had long lifecycles.

But the essence of AGI is accelerated change. It is an entropy machine, constantly breaking old systems to create new, more complex ones. Industries are blurring, and career lifespans are shrinking dramatically. In the face of this acceleration, the mindset of seeking a “job for life” has become the greatest mental prison we build for ourselves.

The core competency of the future is not owning any specific asset—be it a degree, a skill, or a network. The core competency is the dynamic ability to constantly “rebalance your asset portfolio.” You must act like a shrewd fund manager for your own skills, constantly divesting from depreciating old abilities and investing in new ones that represent the future.

In game theory terms, we are moving from a “finite game”—with clear rules, boundaries, and a defined end—to an “infinite game.” The goal of an infinite game is not to win, but to keep the game going. Those who cling to the old rules, seeking a final victory, are destined to be left behind.

Conclusion: From “Asset Holder” to “Value Alchemist”

Today, we have mapped the three waves of the AGI storm. The first wave liquidates “structured skills.” The second liquidates “structured business models.” The third and most profound wave liquidates our “structured thinking.”

In this great value liquidation, what “core assets” are left that will not rust or depreciate?

As a financial veteran who has wrestled with risk for thirty years, my answer is: four things remain.

1. The ability to define the problem. When AI can answer any question, the ability to ask the right one becomes the scarcest resource.
2. The ability to integrate resources. Value creation is no longer a solo act but an orchestral performance. Your value is as the conductor, orchestrating AI tools, human talent, data, and capital toward a grand objective.
3. The ability to create emotional connection. In a world of human-machine symbiosis, pure rational computation can be outsourced. The last bastion of human value is the unquantifiable warmth of empathy, trust, and inspiration.
4. The courage to bear ultimate responsibility. AI can suggest the optimal path, but it can never make the final, high-stakes decision for you and bear the infinite responsibility for its consequences. This courage is the essence of the human spirit.

In my long career, I have seen countless once-glorious companies fall during technological shifts. Their common failure was not a lack of effort but an unwillingness to let go of yesterday’s “core assets.”

True wisdom is not preservation, but alchemy.

A “value alchemist” is someone who can identify the non-performing assets in their own portfolio—outdated experience, obsolete skills, rigid mindsets—and bravely throw them into the crucible of AGI. Through deep integration and transmutation with new technology, they can smelt these cheap lead ingots into the gleaming gold of the new era.

A famous line from the I Ching (The Book of Changes) says: “When cornered, change. Change leads to a way through, and a way through leads to endurance.”

Before the dead end that AGI seems to present, those who cling to old assets will find no path forward. Only by embracing change and becoming a proactive “value alchemist” can one find passage and persevere.

This is a brutal elimination game, but it is also a grand evolution. If you do not want your life’s work to become tomorrow’s non-performing asset, I invite you to join our community at Finsages.org. Together, let’s become the value alchemists of this era.