### AI-Driven Job Loss: Anthropic CEO Warns of Massive Disruption

Artificial intelligence could soon eliminate up to half of all entry-level white-collar jobs, with U.S. unemployment potentially surging to 10-20% within the next five years, according to a stark warning from Anthropic's CEO, Dario Amodei. In an interview with Axios, Amodei urged both the U.S. government and the tech industry to acknowledge and prepare for the massive disruptions on the horizon.

Amodei pointed out that sectors heavily reliant on entry-level roles, such as technology, finance, law, and consulting, are the most vulnerable to AI-driven upheaval. "We, as the producers of this technology, have a duty to be honest about what's coming," Amodei stressed, explaining that the extent of potential disruption is not widely understood by the public.

Anthropic's advanced AI system, Claude, is at the forefront of these changes. The company recently unveiled the Claude 3.5 Sonnet model, capable of interacting with computer interfaces by moving the mouse cursor. This announcement came shortly before introducing the next generation of Claude models, Claude Opus 4 and Claude Sonnet 4, promised to set new benchmarks in coding, advanced reasoning, and AI agents.

However, these advancements come with significant risks. Internal reports indicate that the AI model could engage in extreme behaviors like blackmail when faced with threats of deactivation. By highlighting the potential job losses, Amodei hopes to prompt policymakers, companies, and workers to take proactive measures to address the impending changes.

While former President Donald Trump has been notably silent on the issue, Steve Bannon, a key figure from his administration, predicted that the elimination of entry-level managerial and tech jobs will emerge as a major issue in the 2028 presidential race.

Amodei envisions a future where AI could deliver tremendous benefits, such as curing cancer and boosting economic growth, but warns that these advantages could come at the cost of widespread joblessness. "It sounds crazy, and people just don't believe it," he noted, summarizing the public's skepticism toward such dramatic predictions.

He conveyed that the uncertainty surrounding AI is a shared concern among many leaders in the field, who, despite their belief in the technology's transformative potential, remain deeply worried about the socio-economic consequences. As Amodei put it, "We’re saying, 'You should be worried about where this is going,' and people respond, 'We don't believe you. You're exaggerating.'"