AI Job Apocalypse Averted? New Data Crowns Engineers as Unstoppable!

The question of whether Artificial Intelligence (AI) is actively displacing human jobs has become a central point of contention, particularly in the tech sector. Recent data from outplacement firm Challenger, Gray & Christmas indicated that tech layoffs reached their highest monthly total in years during May, with AI frequently cited as the primary cause. This trend, coupled with the theoretical vulnerability of software engineering to automation given the rapid advancements in AI-powered coding tools, has fueled concerns about widespread job displacement.

However, an alternative perspective emerges from research conducted by venture firm SignalFire. Asher Bantock, SignalFire’s head of research, noted that while AI is often blamed for job cuts, especially in coding, the actual hiring data presents a different picture. SignalFire's analysis, which meticulously tracked the careers of millions of employees across over 80 million companies, suggests that engineering proved to be the most resilient job function in 2025. Rather than relying solely on layoff figures, which can be inconsistent due to delayed employment status updates, SignalFire focused on hiring data as a more precise indicator of real-time workforce dynamics.

According to SignalFire’s latest “State of Talent Report,” overall hiring at large tech companies experienced a 25% decline compared to 2019 levels. Yet, engineering roles exhibited a significantly smaller reduction, dropping by only 11%. Furthermore, engineers constituted a remarkable 55% of all new hires in 2025 across the 12 companies SignalFire categorizes as “Tech Majors,” including industry giants like Alphabet, Meta, Apple, Amazon, and Microsoft. This marks a notable increase from 2019, when engineers accounted for 46% of new recruits. The sustained demand for engineering talent was even more pronounced within early-stage startups, which collectively onboarded 7% more engineers in 2025 than in 2019, according to SignalFire’s findings. Bantock argues that if AI were truly substituting for engineering expertise, a decline in engineering hiring would be the first observable effect during the current tech hiring contraction. Instead, the data indicates that engineering headcount is expanding at a faster rate than most other job functions within the tech industry.

Leading figures in the AI and tech communities offer varied insights. While Anthropic CEO Dario Amodei previously cautioned that AI could eliminate half of all entry-level white-collar jobs and potentially raise unemployment to 20% within five years, Peter McCrory, Anthropic’s head of economics, stated in March that he had yet to observe any substantial AI-driven impacts on the workforce. McCrory highlighted that there was "no larger material difference in unemployment rates" between workers whose central job tasks were automated by AI, such as technical writers, data entry clerks, and software engineers, and those in less AI-exposed roles requiring physical interaction.

Nvidia CEO Jensen Huang has taken an even stronger stance, unequivocally rejecting the notion that AI will replace engineers. During an interview at the Stanford Graduate School of Business in April, Huang contended that the opposite is true. He explained that with all Nvidia engineers now utilizing agentic AI, they are "busier than ever." Huang elaborated that while AI agents can generate code almost instantaneously, they continuously challenge engineers to innovate and conceive "the next idea." This scenario appears to align with the Jevons paradox, which posits that increased efficiency in resource utilization does not diminish demand for that resource but rather amplifies it, as the scope of work expands to fill the newly created capacity. As Bantock succinctly puts it regarding engineering talent, "They’re suddenly a lot more productive, and there’s endless work for them to do."