The debate over whether artificial intelligence (AI) is coming for our jobs has been raging, and for many, the answer felt like a foregone conclusion. With the rapid advancements in AI-powered tools, especially in coding, software engineering roles were widely considered the most vulnerable to automation. Indeed, recent reports highlighted record tech layoffs, often citing AI as a primary driver for workforce reductions.
However, new data is emerging that challenges this widespread belief. A comprehensive analysis by venture firm SignalFire suggests a surprising truth: engineering jobs, far from being the most susceptible, are proving to be remarkably resilient in the face of AI integration. This fresh perspective invites us to reconsider the true impact of AI on the tech workforce.
Engineering’s Unexpected Resilience in the AI Era
While outplacement firm Challenger, Gray & Christmas noted that May saw the highest single-month tech layoffs in years—with AI frequently cited as the cause—SignalFire’s research tells a different story. Their latest “State of Talent Report” focused on hiring trends, rather than just layoffs, to paint a more accurate picture of real-time workforce shifts. Asher Bantock, SignalFire’s head of research, highlighted the disconnect, stating, “The rationale given for lots of layoffs is consistently AI… What we’re seeing on the ground is a little inconsistent with that.”
SignalFire’s analysis tracked the career trajectories of millions of employees across an astonishing 80 million companies. This robust dataset allowed them to observe that while total hiring across large tech companies dipped by 25% compared to 2019 levels, engineering roles experienced a significantly smaller decline of just 11%.
The demand for engineers was particularly evident among the “Tech Majors”—a group comprising industry giants like Alphabet, Meta, Apple, Amazon, and Microsoft. In 2025, engineers constituted a striking 55% of all new hires at these twelve companies, a considerable jump from 46% in 2019. Even more tellingly, early-stage startups collectively brought on 7% more engineers in 2025 than they did in 2019, showcasing a sustained and growing need for this specialized talent.
Dispelling the AI Job-Killer Myth
If AI were truly displacing engineering talent at the rate many predicted, we would expect engineering hiring to be the first to suffer during a tech hiring contraction. Instead, SignalFire’s data shows engineering headcount growing faster than most other functions within the tech sector. This strongly suggests that AI is augmenting, rather than replacing, the need for human engineers.
Even leaders from companies at the forefront of AI development are echoing this sentiment. Last year, Anthropic CEO Dario Amodei warned that AI could potentially wipe out half of all entry-level white-collar jobs. However, Peter McCrory, Anthropic’s own head of economics, recently told TechCrunch that he had not yet observed any significant AI-driven effects on the workforce.
McCrory clarified that there’s “no larger material difference in unemployment rates” between workers in AI-exposed jobs—like technical writers, data entry clerks, and software engineers—and those in roles less exposed to AI. Nvidia CEO Jensen Huang went even further, directly refuting the idea that AI would eliminate engineering jobs. At a Stanford Graduate School of Business interview, Huang emphatically stated, “software engineers are busier than ever,” explaining that while agentic AI handles code generation, it simultaneously pushes engineers to develop “the next idea.”
The Jevons Paradox and the Future of Engineering
What we’re witnessing in the engineering sector appears to be a classic example of the Jevons paradox. This economic principle suggests that increased efficiency in resource use doesn’t reduce demand for that resource; instead, it often increases it, as work expands to fill the new capacity. AI tools are making engineers incredibly more productive, allowing them to tackle more complex problems and innovate at a faster pace.
This enhanced productivity isn’t leading to fewer engineers, but rather to a broader scope of work and a heightened demand for their problem-solving skills. As Asher Bantock aptly summarized the current situation for engineering talent, “They’re suddenly a lot more productive, and there’s endless work for them to do.” For now, it seems AI is not a job killer for engineers, but a powerful catalyst, propelling them into an era of unprecedented productivity and innovation.
Source: TechCrunch – AI
