Remember when everyone said AI would only replace tech jobs? Turns out, they were looking at the tip of the iceberg.
MIT and Oak Ridge National Laboratory just released Project Iceberg, a massive simulation that tracked 151 million US workers across 32,000 skills and 923 occupations to figure out which jobs AI can already automate today.
The findings = AI can technically replace 11.7% of the American workforce right now… affecting $1.2 trillion in wages. That’s not a prediction for 2030. That’s what’s possible with current technology.
Here’s the twist: if you only look at where AI is actually deployed (mainly computing and tech), just 2.2% of jobs seem affected. MIT calls this the “Surface Index.” Below the surface lurks cognitive work in finance, healthcare, and administrative roles that AI could automate but hasn’t yet.
Here’s what changed everything
The Model Context Protocol (MCP). Until late 2024, AI assistants were stuck outside your work ecosystem, unable to access your actual tools. Anthropic’s MCP changed that — it lets any AI model plug into any data source or tool through standardized connections.
The explosion happened fast. As of March 2025, there are 7,950+ MCP servers available. AI agents can now autonomously check calendars, book rooms, send invites, update project plans, and generate financial reports. Project Iceberg tracks every one of these servers and maps them against workforce skills in real-time.
Plot twist: The biggest impact isn’t in Silicon Valley. Rust Belt states like Ohio, Michigan, and Tennessee show massive vulnerability because cognitive work supporting manufacturing (financial analysis, admin coordination, professional services) is highly automatable. If you work in these fields and states, don’t share this report with your boss…
Here’s what the experts think: A study of 339 superforecasters and AI experts (the Longitudinal Expert AI Panel) predicts 18% of work hours will be AI-assisted by 2030, close to MIT’s 11.7% current number. So their takes feel directionally correct.
Why this matters
Project Iceberg is an early warning system. States are already using it to identify at-risk skills and build retraining programs. The question isn’t whether AI will transform work, but whether we’re building the infrastructure to handle 21 million potentially displaced workers before the iceberg hits. Read the rest here.
Editor’s note: This content originally ran in the newsletter of our sister publication, The Neuron. To read more from The Neuron, sign up for its newsletter here.