Bill Gates no longer assumes the labor market will create enough new work to replace what AI removes.
He now warns of permanent displacement and wants governments to consider Human Reserved work and changes to automation taxes, while Paul Roetzer argues business adoption will turn the disruption into a slope rather than a cliff.
Bill Gates has reversed his earlier expectation that AI would mostly improve productivity and create new work around the disruption. In a new Gates Notes essay, he says many jobs will disappear permanently, with entry- and mid-level workers hit first, because AI can replace cognitive work across industries and companies have strong incentives to automate.
Gates proposes Human Reserved work, meaning roles society deliberately keeps in human hands even when machines can do them. He also wants tax systems to stop favoring automation, potentially by taxing AI tokens, the units of text a model processes, robots, or profits created by automated labor. His warning is blunt: "There is no plan to ease the entry into the AI era."
Gates still expects AI to produce major benefits. His concern is whether workers and institutions can absorb the transition fast enough to share them.
SmarterX founder and CEO Paul Roetzer examines the practical business and workforce implications on Episode 235 of The Artificial Intelligence Show.
10 - Approximate number of years for the AI labor-market transition
3 - Initial policy ideas from Gates, including setting aside "human-reserved" jobs
2 - Initial worker groups at risk: entry-level and mid-level
3 - Possible automation tax targets: AI tokens, robots, and profits
Gates can move the conversation forward. "Sometimes it takes someone like Bill Gates saying what we've been saying on this podcast for three years for more people to listen and take it seriously and do something about it," says Roetzer. Wider belief in the possibility of displacement and underemployment, especially for entry-level professionals, can push leaders from reassurance to preparation.
Business adoption buys some time. The technology may improve quickly, but most organizations are still learning to use AI as an assistant that helps people think and create. Far fewer have deployed agents, which can carry out multiple steps on their own, deeply across daily work.
"I am more convinced than ever that human and organizational friction to change is going to cause this to look way more like a slope than a cliff."
— Paul Roetzer, founder and CEO of SmarterX, Episode 235 of The Artificial Intelligence Show
The slope still demands action. "I actually do feel like we still have time, even if we don't pause," Roetzer says. That confidence comes with a warning: Companies will struggle to absorb how quickly AI-literate workers produce more, and how deeply agents change workflows. Roetzer says "we do not have a grasp on what is happening and what the capabilities are of these agents."
Leaders should treat the slope as transition capacity, not permission to wait. Start mapping roles at the task level, identify where AI will assist people versus replace hours of work, and decide how productivity gains will affect hiring, career paths, and staffing before the answers arrive through budget cuts.
Workers need a visible route through the change. That means training tied to real workflows, chances to practice with AI assistants and agents, and honest communication about which roles may shrink. Human Reserved work and new tax rules remain proposals. Businesses can act now by building transition plans that protect trust while they redesign work.
Entry-level roles will show where displacement pressure starts first. Gates is especially concerned about younger workers and people in entry-level and mid-level roles. Leaders should track whether these employees keep getting the experience that creates the next generation of managers and experts.
Policy details will determine whether Gates's ideas can work. Human Reserved rules require public choices about which work stays human. Automation taxes need a clear target and a clear explanation of how they would rebalance labor and capital.
Seventy-one percent of respondents expect AI to eliminate more jobs than it creates over the next three years, according to the 2026 State of AI for Business Report. Yet only 20% are somewhat or very concerned about AI's impact on their own role. That gap makes honest transition planning harder and more urgent.
The full report, based on responses from 2,100+ professionals across roles, functions, and industries, shows how people view job risk alongside organizational readiness, training, governance, and adoption. It provides a benchmark for leaders planning workforce change before displacement reaches their own teams. Read the full report →