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AI was supposed to kill engineering jobs, but new data suggests they’re the most resilient

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AI was supposed to kill engineering jobs, but new data suggests they’re the most resilient

by Asia Today Team
June 25, 2026
in Tech
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AI was supposed to kill engineering jobs, but new data suggests they’re the most resilient
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Whether or not AI is already changing jobs is the topic of fierce debate.

Tech layoffs hit their highest single month whole in years in Might, and AI was the most-cited motive, based on outplacement agency Challenger, Grey & Christmas.

Software program engineering, in concept, is the skilled discipline most susceptible to automation, given the fast adoption of AI-powered coding instruments. Nonetheless, researchers at enterprise agency SignalFire say the hiring knowledge tells a special story.

“The rationale given for plenty of layoffs is constantly AI, and particularly they’ll say AI with respect to code; they’ll say one engineer may do the job of nevertheless many engineers prior to now,” mentioned Asher Bantock, SignalFire’s head of analysis. “What we’re seeing on the bottom is somewhat inconsistent with that.”

SignalFire’s evaluation, which tracked the careers of tens of millions of staff throughout greater than 80 million corporations, means that engineering was probably the most resilient job operate in 2025. As a substitute of specializing in layoffs, that are tough to trace as a result of individuals typically delay updating their employment standing after job cuts, SignalFire examined hiring knowledge as a extra correct indicator of real-time workforce traits.

Whereas whole hiring throughout massive tech corporations dropped 25% in comparison with 2019 ranges, engineering roles noticed a a lot smaller decline of simply 11%, based on SignalFire’s newest “State of Expertise Report.”

Actually, engineers comprised 55% of all new hires in 2025 throughout the 12 corporations SignalFire classifies as “Tech Majors” — Alphabet, Meta, Apple, Amazon, Microsoft, Netflix, Nvidia, Tesla, Uber, Airbnb, Block, and Stripe. This can be a vital bounce from 2019, when engineers represented solely 46% of latest recruits, based on the report.

The continued want for engineers was much more evident at early-stage startups, which collectively introduced on 7% extra engineers in 2025 than they did in 2019, SignalFire’s knowledge reveals.

If AI had been really substituting for engineering expertise, Bantock argued, engineering hiring could be the primary to fall amid the present tech hiring contraction. As a substitute, SignalFire’s knowledge reveals that engineering headcount is rising quicker than most different job features in tech.

Whereas Anthropic CEO Dario Amodei warned final 12 months that AI may wipe out half of all entry-level white-collar jobs and push unemployment as excessive as 20% inside 5 years, the corporate’s personal head of economics, Peter McCrory, informed TechCrunch in March that he had not but seen any vital AI-driven results on the workforce.

Mentioned McCrory on the time: “There’s at the very least no bigger materials distinction in unemployment charges” between staff who use Claude for the “most central job of their job in automated methods” — like technical writers, knowledge entry clerks, and software program engineers — and staff in jobs much less uncovered to AI that require “bodily interplay and dexterity with the true world.” 

Nvidia CEO Jensen Huang went additional nonetheless, outright rejecting the idea that AI will substitute engineers. “Someone mentioned that AI goes to destroy all the software program engineering jobs,” Huang mentioned in an interview on the Stanford Graduate Faculty of Enterprise in April. He then argued the alternative is true. Now that every one engineers at Nvidia are utilizing agentic AI, “software program engineers are busier than ever,” he mentioned.

Huang added that whereas brokers are writing code close to instantaneously, they’re consistently pushing engineers to generate “the following thought.”

For now at the very least, evidently armed with AI, engineering has turn out to be a basic instance of the Jevons paradox — the concept that higher effectivity doesn’t cut back demand for a useful resource; it will increase it, as a result of the work expands to fill the brand new capability. As Bantock mentioned of engineering expertise on this second: “They’re all of a sudden much more productive, and there’s countless work for them to do.”

Once you buy by means of hyperlinks in our articles, we could earn a small fee. This doesn’t have an effect on our editorial independence.



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