Microsoft has done something in its 51-year history that it has never done before: offered its own employees a buyout to leave.

The company announced last Thursday that roughly 8,750 U.S. workers — about 7% of its American workforce — are eligible for a voluntary retirement program. The offer targets employees at or below the senior director level whose combined age and years of service add up to 70 or higher. Eligible workers and their managers will receive details on May 7.

The formula has a name now: the Rule of 70. It targets mid-to-late career employees, often the people who carry the most institutional knowledge in a company. In most previous periods of technological transition, that knowledge was precisely the thing that protected those workers. In an environment where AI systems can process decades of documentation in seconds, that protection is dissolving.

Get the eBook of the Substack series that dissects the narratives Tech uses to build its AI Empire. $9.95 flat fee for PDF or ePUB formats; no subscription required. 3.5-hr reading time.

The people building artificial intelligence did not invent their ideas. They inherited them.

The program is voluntary, which gives Microsoft legal and reputational cover that a direct layoff round would not. It is also, by the analysis of several HR observers, the most efficient way to reduce a high-salary workforce without age-discrimination exposure. Other large employers are almost certain to follow the same template.

The Microsoft buyout is the most visible single story of the past week. The broader numbers behind it are larger and grimmer. According to data tracked by Layoffs.fyi, over 92,000 tech workers have been laid off so far in 2026. The cumulative total since 2020 stands at nearly 900,000.

Of the 78,557 tech cuts recorded from January through early April, 47.9% have been attributed to reduced need for human workers because of AI and workflow automation, according to Nikkei Asia’s tracking.

Cognizant’s chief AI officer told Nikkei that real productivity gains from AI are still six months to a year away for most companies. The cuts are arriving ahead of the operational justification for them.

Get the eBook compilation of Substack articles examining how the AI invasion already happened. You just weren’t invited. $9.95 flat fee for PDF or ePUB; no subscription required. 2-hr reading time.

That gap between the cuts and the demonstrated productivity gains shows up most visibly at the entry level. The Stanford 2026 AI Index found that employment among software developers aged 22 to 25 has fallen nearly 20% since 2024, even as older colleagues’ headcount continues to grow. The same pattern is appearing in customer service and other AI-exposed occupations.

The mechanism for the disruption is straightforward. AI now handles the codifiable tasks that entry-level jobs were built around: drafting standard documents, running routine analysis, producing basic reports.

Employers are retaining experienced workers and letting AI absorb the on-ramp that younger workers used to climb. The headline unemployment rate holds steady. The entry-level job market is contracting.

Future Forwarded is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

The Stanford data adds precision to something The AI Labor Report has tracked all year: the career ladder is being pulled up from the bottom, and the official statistics are not built to show it.

Workers in companies that have already adopted AI are absorbing this reality in real time. A new Gallup survey of 23,717 U.S. employees found that 23% of workers in AI-adopting organizations say it is very or somewhat likely their job will be eliminated within the next five years due to AI or automation. Among all U.S. workers, that share is 18%.

Gallup also found that 27% of employees in AI-adopting organizations say their workplace has changed in disruptive ways over the past year, compared to 17% in organizations that have yet to adopt AI. The disruption is real and measurable.

So is the productivity improvement: 65% of workers in AI-adopting organizations say AI has improved their efficiency.

The combination of higher disruption and higher productivity in the same organizations is the central tension of the current moment. The companies that are furthest along in AI adoption are producing more output per worker and cutting workers at the same time.

The workers who remain are doing more. The workers who leave are being converted into infrastructure budgets.

The Microsoft Rule of 70, the 92,000 layoffs, the collapsing entry-level hiring pipeline, and the Gallup anxiety numbers are all expressions of the same underlying pattern: AI is raising the output ceiling while narrowing the floor for who gets to stand on it.

Get full access to Future Forwarded at futureforwarded.substack.com/subscribe

Get full access to The AI/Labor Report at ailabor.substack.com/subscribe