AI Impact on Engineering Jobs: 55% of Big Tech Hires

According to venture firm SignalFire's analysis of employment patterns across more than 80 million companies, engineering was the most resilient job function in 2025 even as technology layoffs reached their highest single month total in years this past May. The firm's data offers one of the clearest pictures yet of the AI impact on engineering jobs.

SignalFire's research tracked the career trajectories of millions of employees. According to the firm, total hiring across large technology companies dropped 25 percent compared to 2019 levels, while engineering roles experienced a decline of just 11 percent. At the 12 companies SignalFire classifies as Tech Majors—including Alphabet, Meta, Apple, Amazon, Microsoft, Netflix, Nvidia, Tesla, Uber, Airbnb, Block, and Stripe—engineers accounted for 55 percent of all new hires in 2025, up from 46 percent in 2019.

The findings challenge the widely held assumption that software engineers are the workforce segment most vulnerable to automation, particularly as AI powered coding tools become more capable. Outplacement firm Challenger, Gray & Christmas cited AI as the most common reason given for layoffs in May 2026, according to its own data, which aligns with public statements from tech leaders who argue that AI lets a smaller engineering team achieve the same output. SignalFire's data suggests the reality on the ground is more complex.

Why the AI Impact on Engineering Jobs Differs From Expectations

Several structural factors are driving the divergence between layoff rhetoric and actual hiring patterns. The AI boom itself has created enormous demand for engineers who can build, deploy, and maintain AI systems, a category of work that did not exist at scale just a few years ago. Companies racing to integrate generative AI into their products need talent that understands model deployment, prompt engineering, retrieval augmented generation pipelines, and infrastructure optimization.

The composition of the engineering workforce is also shifting. The engineers being hired in 2025 are not necessarily filling the same roles as their 2019 counterparts. According to SignalFire's data, the hiring reflects a reallocation of engineering labor toward AI related work rather than a simple recovery of pre pandemic hiring levels. Companies are trading generalist software developers for specialists with AI and machine learning expertise, which preserves engineering headcount even as other functions shrink.

Early stage startups show a similar pattern. SignalFire's data indicates that engineering hiring at young companies increased 7 percent more than hiring in other roles, suggesting that the demand for technical talent is not limited to incumbent tech giants. Startup founders are prioritizing engineering capacity as they build AI native products from the ground up.

The Numbers Behind the Trend

The scale of SignalFire's dataset—millions of employees across tens of millions of companies—gives the findings weight beyond anecdotal observations. The 55 percent engineering share of new hires at Tech Majors is a nine percentage point gain over six years, a shift that compounds significantly over time. If the trend continues, engineering could soon account for the majority of the total workforce at these companies, not just new hires.

The contrasting totals are instructive. A 25 percent overall hiring decline versus an 11 percent decline for engineering means that non engineering roles absorbed nearly all of the contraction. Marketing, sales, human resources, and operations functions bore the brunt of the cuts at large technology companies, while engineering teams were largely shielded.

This pattern holds across the business cycle. Even as tech companies announced layoffs throughout 2025 and into 2026, the proportion of engineering hires climbed. The data suggests that AI is reshaping the organizational structure of technology companies, making them leaner in administrative and business functions while concentrating headcount in the technical core.

What This Means for Decision Makers

For technology leaders and strategists, the SignalFire data carries several implications. First, the engineering talent market remains tight despite headlines about layoffs. The engineers being hired are being hired into different roles than before, but the overall demand for technical skills has not collapsed. Companies that cut too deeply into their engineering teams during a retrenchment may find it difficult to rebuild when the hiring cycle turns.

Second, the composition of engineering teams is evolving. The engineers who thrive in this environment are those who can work effectively with AI tools and systems. General purpose development skills still have value, but the premium is increasingly on candidates who demonstrate AI literacy, whether through experience with large language models, familiarity with GPU accelerated computing, or expertise in data engineering and MLOps.

Third, the data complicates the case for aggressive automation driven cost cutting in engineering. If engineers now make up 55 percent of new hires at top tech companies, the idea that AI will render the profession obsolete is difficult to sustain. The more likely outcome, according to SignalFire's analysis, is that AI changes what engineers do, automating routine coding tasks while elevating the strategic and architectural dimensions of the role.

Broader Market Context

The SignalFire analysis arrives at a moment when the labor market for technology workers is sending mixed signals. Layoff announcements continue, and the Challenger data for May 2026 showed the highest monthly total in several years, with AI explicitly named as a contributing factor. According to Challenger, Gray & Christmas, AI is now the most common reason tech companies cite for job cuts.

The reconciliation of these signals lies in the distinction between company level headcount reduction and occupation level demand. A company may lay off 10 percent of its workforce while simultaneously hiring for different roles. The net effect at the occupation level depends on whether the new roles outnumber the eliminated ones. SignalFire's data suggests that for engineering, the net effect is positive relative to other functions.

The 12 companies in the Tech Majors group are not uniform in their hiring behavior, and the aggregate figures mask significant variation. Some have continued to hire engineering talent aggressively, particularly those with large AI infrastructure investments, while others have been more cautious. But the direction of travel is consistent: engineering's share of new hires is rising across the group.

The Outlook for Engineering Employment

SignalFire's research does not predict the future of engineering employment, but it establishes a baseline that contradicts the most alarmist forecasts. Engineering roles have proven more durable than the conventional wisdom suggested, and the 55 percent hiring share at major technology companies is a structural shift in how these organizations allocate their human capital.

For investors evaluating technology companies, the data offers a lens into corporate strategy. According to SignalFire, companies that maintain or increase their engineering headcount relative to other functions are signaling a bet on technology driven growth. Those that cut engineering disproportionately may be trading long term capability for short term cost savings. The SignalFire numbers provide a benchmark against which individual company behavior can be assessed.

The AI impact on engineering jobs is real, but it has manifested as transformation rather than elimination. Engineers are not being replaced wholesale by AI systems. They are being redeployed toward the problems that AI creates and solves, and the data shows that organizations are investing heavily in that redeployment. The profession is changing, but it is not disappearing, and the hiring numbers make that clear.

Photo by Brecht Corbeel on Unsplash

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Researched and cross-referenced against primary sources by the Bytevyte editorial team.