The New York Times’ Hard Fork looks at a trend where some companies pay more for AI computers and services and less for people.
In short: The New York Times’ “Hard Fork” podcast published a segment about companies shifting budgets from workers to AI systems and related costs.
The New York Times posted a “Hard Fork” video segment titled “When a Company’s Biggest Expense Is AI.” It centers on a growing pattern in business spending, where some companies are putting more money into AI infrastructure and services instead of adding human staff.
AI infrastructure is the behind-the-scenes setup needed to run AI, like data centers (big buildings full of computers), specialized computer chips, and the electricity and cloud bills to keep them running. A simple way to think about it is swapping part of a payroll budget for a large, ongoing computer rental and power bill.
This topic does not appear in the most recent available “Hard Fork” episode transcript dated January 2, 2026, which focuses on the hosts’ tech resolutions and listener questions. As of March 24, 2026, there also was not a regular weekly “Hard Fork” episode matching this topic in the provided transcript context. The NYTimes link provided, however, does point to a “Hard Fork” video page framed around this spending shift.
If more companies treat AI costs as a core operating expense, it could affect hiring plans, job roles, and how customer service is delivered. Watch for clearer reporting from companies about whether AI spending is replacing jobs, supporting existing workers, or both, and for how these costs show up in budgets over time.
Source: NYTimes
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