🤖 Anthropic CEO Gives Doomsday Employment Diagnosis

🪦 Anthropic CEO Gives Doomsday Employment Diagnosis

🦺 Ex-OpenAI Employee Sets New AI Safety Standards

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The U.S. economy typically follows a simple rule: when businesses thrive financially, they generally respond by hiring more employees. For example, if a boutique bakery sells 25% more bread, it hires additional bakers to handle the increased demand.

Anthropic CEO Dario Amodei forecasts a radical economic “decoupling”: a future where AI-driven productivity yields explosive annual GDP growth of up to 10%, while simultaneously driving unemployment levels as high as 20%.

Imagine a modern law firm that leverages AI Agents: proactive digital co-workers who draft emails, juggle files, and analyze spreadsheets. These AI Agents automate the everyday workflows of 50 paralegals, making the law firm 100x more productive while reducing headcount to a skeleton crew of a few managing attorneys.

To address AI-induced job displacement, he suggests a “Token Tax” on AI-generated revenue to redistribute wealth. Instead of paying 50 paralegals, the modern law firm now pays millions of dollars for tokens: the digital “units” of work generated by AI Agents. The U.S. government collects roughly 3% of every token generated and funnels it into a fund to pay for UBI.

His doomsday diagnosis sparks dialogue, but it arguably ignores the historical evolution of human utility. Approximately 60% of U.S. workers today are employed in job roles that didn’t even exist in 1940, meaning more than 85% of all employment growth within the past 80 years has been driven by new technologies.

In 2024, OpenAI disbanded the “AGI Readiness Team,” which was dedicated to preparing for AGI: a theoretical concept where AI matches a human’s ability to master any intellectual discipline.

Brundage immediately announced his departure from OpenAI: “Every frontier AI lab remains unprepared to govern superintelligence.” He explained that AI lacks safety without a concerted effort to secure it.

Now, he officially launched “AVERI,” a U.S.-based nonprofit organization advocating for independent safety audits of top-tier AI firms such as OpenAI, Anthropic, and Google DeepMind. He already crowdsourced over $7.5 million from AI researchers within these top-tier AI firms who “know where the bodies are buried.”

Right now, AI-related safety standards rest on a “pinky promise,” where frontier AI labs choose what to disclose. It’s a fundamental misalignment of incentives. How can they objectively evaluate their own catastrophic potential when billions of dollars are at stake?

“AVERI” doesn’t intend to be the auditor itself, but rather a think tank that establishes the compliance protocols for third-party auditors to utilize. The nonprofit organization already developed the AAL Framework: a four-tiered evaluation metric that scales safety requirements relative to the level of autonomy displayed by an advanced AI model.

Railway raised a $100M Series B to ship software peacefully.

LiveKit closed a $100M Series C for the voice-driven era of computing.

Inferact landed a $150M Seed Round to supply the nuts and bolts of AI.

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