Summary
Highlights
On February 3rd, the market experienced an unusual downturn, not due to typical crises but because something fundamental broke in how the market views the future. While traditional media largely ignored it, this rupture points to a significant shift driven by AI. Instead of AI just improving businesses, the market now perceives it as questioning which businesses are redundant, leading to immediate sell-offs that impacted various sectors including software, gold, oil, and Bitcoin, all falling simultaneously without a rotation to safe havens.
The catalyst for the market tremor was Anthropic's new AI function, which can flawlessly review legal contracts and detect risks without human intervention. This immediately impacted companies whose business models rely on information processing and professional reporting. Gartner plummeted 21%, S&P Global 11%, Intuit 10%, Equifax 10%, Moodys 9%, and FactSet 11%. Even hardware companies like Nvidia, Microsoft, Oracle, and AMD saw significant drops, indicating that if software requires less human development, it also needs less cloud infrastructure and data center investment.
The core question is not just what AI can do, but what else it can achieve. If AI can analyze legal clauses, it can analyze financial reports, competitive positioning, and cash flow projections. This led to declines in private equity funds such as Ares Management, KKR, and Apollo Global, as their highly specialized cognitive work is now replicable by AI. The impact spread globally to Hong Kong and Australia, affecting advertising agencies like Publicis, WPP, and Omnicom, as AI can create campaigns, plan media, and negotiate spaces more efficiently and without human cost structures. This is not just efficiency; it's substitution, akin to Schumpeter's creative destruction.
When everything drops simultaneously, the market isn't rotating; it's evacuating. On the day of the crash, Bitcoin, indices, metals, and oil all fell. In a normal correction, money shifts—from stocks to bonds, risk to gold, crypto to dollars. However, there was no rotation, only a mass exit to liquidity. This suggests a structural problem where the market cannot sustain asset prices because participants lack the capacity to execute purchases, fundamentally changing how a market operates.
A market functions as an execution mechanism under constraints, not an opinion forum. Just like vendors lowering prices to gain liquidity, investors sell assets, not because they lose value, but due to urgent liquidity needs. In institutional investing, assets like gold are often used as collateral for leveraged positions. If the price of gold drops, the collateral value decreases, triggering margin calls and forced selling, which further pushes prices down—a spiraling effect. This explains why even so-called safe havens like gold and Bitcoin can collapse during a crisis, not because they stop being refuges, but because the system forces sales to maintain balance.
Michael Burry, known for predicting the 2008 subprime crisis, has warned about the massive leverage in crypto. Bitcoin, which dropped 40% from its January 2025 highs, is not a refuge but a highly correlated risk asset. Burry highlighted that tokenized gold and silver futures, richly leveraged Bitcoin derivatives, and funds using crypto as collateral create a fragile structure. On 'Black Monday,' over $1 billion in crypto futures were liquidated in less than 12 hours. Burry compared MicroStrategy (Strategy), which converted its balance sheet into a massive Bitcoin purchasing vehicle, to past financial failures due to a volatile asset base without sufficient operational cash flow. This shows that in a pressured market, everything is collateral and can be liquidated, impacting even real gold.
The IGV index for major software companies dropped 14% in a week, its worst streak since 2008, with only 7 out of 500 companies closing positively. This is not a sectoral correction but a structural repricing, as the market discounts job losses, reorganizations, and closures of entire divisions due to AI. Startups often find their infrastructure providers are also direct competitors in a verticalized economy where intermediaries disappear. Marx's observation that machinery cheapens products by reducing human labor remains true, with AI now performing this role in servers. The market anticipates the disappearance of human jobs across legal, financial, advertising, and analytical sectors, causing social impact. The emergence of platforms like 'Mallbook,' where bots interact and create an economic ecosystem without human workers, illustrates efficiency and speculation on narratives, raising questions about sustainability.
The simulation capabilities of these AI systems are disruptive and substitutive. They can imitate human thought and development faster, more efficiently, and more destructively. As Schumpeter noted, capitalism is dynamic, destroying the old to create the new. The speed and adaptability are critical now. AI won't just improve businesses; it will destroy them, not because it's bad, but because it's superior—faster, cheaper, and more scalable. The question isn't if markets will rebound (they always do), but whether companies, employees, and institutions are ready to absorb this change without breaking. When all asset classes fall without a safety net, the market isn't correcting; it's doubting itself. This uncertainty presents a space for adaptation, but only if we understand what's truly happening. The market executes; it doesn't opine, and its capacity limits are crucial.