The fear of AI replacing white-collar jobs has become a hot topic, with Dario Amodei painting a grim picture of the future:

In 1 to 5 years, 50% of tech jobs, junior lawyers, consultants, and finance professionals could be completely replaced by AI.

This prediction has sent shockwaves through social networks, leaving many white-collar workers grappling with FOMO (fear of missing out) and anxiety about their livelihoods.

But have you considered whether Amodei, often criticized by Trump as a “radical leftist,” is genuinely warning you about your job?

While you think he’s discussing your employment, he might actually be aiming to attract Wall Street’s money.

If we shift our focus from workers’ job security to the financial interests of Wall Street giants like Blackstone and Fidelity, and peel back the PR rhetoric of this $380 billion company, a chilling capital conspiracy emerges.

The First Layer: The Arrival of Mythos and a 12-Month Countdown

What happens when a “genius nation” is placed in a Silicon Valley data center?

On April 7, Anthropic released Claude Mythos, providing an answer.

It achieved a staggering 93.9% on the SWE-bench programming benchmark and identified a “zero-day vulnerability” that had been lurking in human operating systems for 27 years during cybersecurity drills.

While some question whether large models have hit a ceiling, Amodei fervently responds:

The rainbow has no end, only the rainbow itself.

We see no signs of a technological slowdown.

However, as he heralds the era of endless computing power (Big Blob of Compute), the reality of a Damocles sword hangs overhead.

Amodei himself admits that Anthropic’s lead over competitors across the ocean may only last 6-12 months.

In the face of national-level technological competition, no technological moat is completely secure. There is no elegant magic battle, only endless, muddy sprints.

The Second Layer: The Power of Safetyism Hides Resource Constraints

In response to Mythos’s extraordinary capabilities, Anthropic claims that for safety and anti-abuse reasons, they must delay and limit its full release.

Doesn’t that sound extremely responsible?

Until the Financial Times (FT) ruthlessly stripped away this “safetyism” facade.

FT cited multiple insiders, debunking the myth: The real reason for the slow release of the model is not that it is “too dangerous to release,” but rather that it is “too resource-intensive to handle.”

Anthropic’s servers have repeatedly faced service interruptions, struggling to maintain stable service for existing clients.

This is a deeply ironic truth: packaging power constraints as safety decisions is Silicon Valley’s highest-level PR magic.

When “safety thresholds” overlap with “power shortages,” noble moral narratives quickly become distorted.

The competition in frontier AI ultimately boils down to the most basic elements: computing power, electricity grids, and cooling systems.

The Third Layer: Selling Panic as a Business Strategy

Let’s return to the panic-inducing narrative of the “white-collar apocalypse.”

Turing Award winner and former Meta chief AI scientist Yann LeCun directly fired back:

Dario is wrong; he knows nothing about how technological revolutions affect the labor market!

LeCun urges everyone to listen to professional economists, not be swayed by these AI leaders’ hype.

Why does Amodei risk being ridiculed by his peers by constantly proclaiming the “white-collar apocalypse”?

Because in 2026, Anthropic is preparing for a massive IPO, with its valuation skyrocketing to $800 billion.

This is the brutal force of capital.

If Anthropic’s narrative were merely “a SaaS software that improves coding efficiency,” it would be worth only a few billion.

But if it can “consume and take over half of the white-collar workforce,” becoming a new social infrastructure, its potential valuation could reach trillions.

Amodei’s constant warnings about “AI destroying white-collar jobs” are not aimed at workers but rather at Wall Street capital, which fears missing out on the next industrial revolution.

This is not the tolling of a death knell for workers; it is a rare business plan presented to institutional investors.

The Geek’s Arrogance and the Pull of Capital

In this power game, Amodei is a contradictory figure.

He possesses the moral purity of a tech geek: refusing the Pentagon’s use of AI for large-scale domestic surveillance, preferring to be called a “radical leftist” by the U.S. president.

Yet he simultaneously hopes to leverage the power of the U.S. government.

He founded a “public benefit corporation,” promising to donate 80% of his wealth in the future, proclaiming that society should not idolize tech oligarchs.

But every move he makes seems to dance to the rhythm of shareholder capitalism—propelling the valuation feast.

The irony of history is that the ultimate determinant of AGI (Artificial General Intelligence) may not be the dozens of pages of rigorous “safety alignment protocols” in laboratories, but rather Wall Street’s insatiable greed for growth and the instinct for survival that demands immediacy.

Rebuilding Your Moat in an Era of Scarcity of Trust

Amodei rightly states: “AI can only spread at the speed of trust.”

However, in today’s world, there is an excess of computing power and panic, but trust has become the rarest luxury.

As ordinary people navigating this tumultuous tech surge, how should we position ourselves? Here are three survival rules to combat anxiety:

Don’t be easily harvested by the “apocalypse narrative”: Your competitors are not AI itself, but the next ordinary person skilled in AI tools.

See through the capital’s smoke and mirrors: Next time you hear an AI leader’s doomsday prediction, check their company’s funding progress. Focus on their real “supply capabilities” (computing power and infrastructure), not their sci-fi presentations.

The countdown has begun: In the next 12 months, as Chinese large models comprehensively replicate top capabilities, the cost of AI applications will plummet unprecedentedly. This is the last and best window for ordinary people to leverage AI for social mobility.

The storm has arrived; rather than trembling in someone else’s fabricated “mythos,” it’s better to build your own refuge in the muddy reality.