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AI May Be Changing Tech Hiring, But Engineers Are Still Winning

by THEFUTURE.TEAM

June 25, 2026

Whether artificial intelligence is already replacing jobs remains one of the most fiercely contested questions in the tech economy. The answer, at least for software engineers, appears to be more complicated than many layoffs headlines suggest.

Layoffs May Cite AI, But Hiring Tells Another Story

Tech layoffs reached their highest single-month total in years in May, according to outplacement firm Challenger, Gray & Christmas, and AI was the most frequently cited reason. That has fueled the argument that automation is already displacing white-collar workers at scale.

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Yet researchers at venture firm SignalFire say the hiring data points in a different direction.

“The rationale given for lots of layoffs is consistently AI, and specifically they’ll say AI with respect to code; they’ll say one engineer could do the job of however many engineers in the past,” said Asher Bantock, SignalFire’s head of research. “What we’re seeing on the ground is a little inconsistent with that.”

Engineering Has Proved More Resilient Than Expected

SignalFire’s analysis, which tracks the careers of millions of employees across more than 80 million companies, suggests engineering was the most resilient job function in 2025. Rather than relying on layoffs data, which can be distorted because workers often delay updating their employment status after a job cut, the firm used hiring trends as a more accurate measure of real-time labor demand.

According to SignalFire’s latest State of Talent Report, total hiring across large tech companies fell 25% from 2019 levels. Engineering hiring declined far less, down just 11% over the same period.

The trend was even more striking among the 12 companies SignalFire classifies as “Tech Majors” — Alphabet, Meta, Apple, Amazon, Microsoft, Netflix, Nvidia, Tesla, Uber, Airbnb, Block and Stripe. In 2025, engineers accounted for 55% of all new hires, up from 46% in 2019.

Early-stage startups showed a similar pattern. Collectively, they hired 7% more engineers in 2025 than they did in 2019, according to SignalFire’s data.

Why AI Has Not Reduced Demand For Engineers

If AI were genuinely replacing engineering talent, hiring in the profession would likely be among the first areas to weaken during a broader slowdown in technology recruitment. Instead, engineering demand has remained stronger than many other functions.

Part of the explanation may be that AI tools increase productivity without necessarily reducing workloads. Faster coding can accelerate product development, generate more ideas, and create additional infrastructure requirements, ultimately increasing the amount of technical work to be completed.

That dynamic resembles the Jevons paradox, the economic theory that greater efficiency can increase overall demand rather than reduce it. Applied to software development, the principle suggests that more productive engineers may be able to build more products, features and services.

As Bantock put it, engineers are now “suddenly a lot more productive, and there’s endless work for them to do.”

Executives Remain Divided On AI’s Labor Impact

The broader debate remains unresolved across the industry. Last year, Anthropic chief executive Dario Amodei warned that AI could eliminate a substantial share of entry-level white-collar jobs and significantly increase unemployment within the next five years.

Others within the sector are more cautious. Anthropic’s head of economics, Peter McCrory, told TechCrunch in March that he had not yet observed clear evidence of large-scale AI-driven workforce disruption.

Nvidia chief executive Jensen Huang has also pushed back against predictions of declining demand for software engineers. Speaking at Stanford Graduate School of Business in April, he argued that engineers at Nvidia have become busier, not less relevant, as AI tools become more capable.

“Now that all engineers at Nvidia are using agentic AI, software engineers are busier than ever,” Huang said. While AI can generate code in seconds, he argued, engineers continue to focus on developing new ideas, products and systems.

The Bottom Line For Tech Talent

For now, the available evidence suggests AI is transforming engineering work more than eliminating it. Productivity gains are changing how software is developed, but demand for technical talent remains resilient despite broader hiring pressures across the technology sector.

Rather than making engineers obsolete, AI appears to be reshaping the role itself, allowing teams to work faster while continuing to expand the range and complexity of projects they can pursue.

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Women Make Up A Majority Of The EU’s Science And Technology Workforce But The Real Gap Is Elsewhere

by News Editor

June 25, 2026

Women now make up the majority of the EU’s science and technology workforce. According to Eurostat, in 2025, more than 81.6 million people aged 15 to 74 were employed in science and technology occupations across the EU. Of those, 52.5% were women, equal to 42.8 million women. The number of women in these occupations rose by 27.9% compared with 2015, an increase of more than 9.3 million over a decade.

On the surface, the numbers resemble progress. However, Eurostat’s category requires context before that figure can be read accurately. The data refers to HRST, or Human Resources in Science and Technology, specifically people employed in science and technology occupations. These are roles where the main tasks require professional or technical knowledge in physical and life sciences, but also in social sciences and humanities. That definition is wider and broader than engineering, ICT, laboratory science, or high-tech research alone.

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Zooming In

The gender picture changes once the data moves from a wider definition of the workforce to the narrower scientist-and-engineer (research and manufacturing) subgroup.

Scientists and engineers represented almost a quarter of all people employed in science and technology in the EU in 2025. Eurostat describes scientists and engineers as often being the innovators at the centre of technology-led development, making them an important subgroup to focus on separately.

Women accounted for only 40.8% of scientists and engineers in 2025, despite making up more than half of the wider category. That share has increased by a mere 0.5 percentage points over the past decade. The absolute number of women working as scientists and engineers rose from 5.3 million in 2015 to 8.2 million in 2025, despite the push from national and international organisations to increase the number of women in the field. Europe has expanded the number of women in science and technology occupations over ten years. However, that expansion has not extended equally into the scientist-and-engineer subgroup, where much of Europe’s research and innovation work is conducted.

In 2025, of the 39.4 million women aged 25 to 64 working in science and technology occupations in the EU, 35.5 million worked in service activities. Only 2.7 million worked in manufacturing. Women accounted for 57.5% of science and technology employment in services, but only 31.3% in manufacturing.

In 2025, the highest shares of women employed in science and technology occupations were recorded in Latvia at 62.4%, followed by Hungary’s Great Plain and North region at 61.1%, Estonia at 60.5%, Poland’s Central macroregion at 60.4%, and Lithuania at 60.3%. No EU country recorded a majority of women among science and technology workers in manufacturing.

Break-down

Eurostat’s figures measure employment in broad science and technology occupations. They do not show job security, pay levels, management roles, promotion rates, research leadership, or whether women are concentrated in junior or senior workplace positions.

The classification of “senior” also requires additional explanation. Eurostat reports that 45.9% of science and technology workers aged 25 to 64 in the EU were classified as “senior” HRST in 2025. In this dataset, “senior” refers to workers aged 45 to 64. It does not mean senior manager, senior researcher, team lead, or decision-maker.

A high female share in the wider Human Resource Science and Technology (HRST) category does not parallel equal representation across scientists, engineers, manufacturing roles, senior posts, pay, research funding, or decision-making. These figures also reflect the occupational mix inside each country or region, not only structural progress across all areas of science and technology.

The Case Of Cyprus

Eurostat data places Cyprus’s overall science and technology employment at 37.2% of the labour force in 2025, slightly above the EU-27 figure of 36.9%, and above Greece at 26.8%, Malta at 33.9%, and Turkey at 18.2%. This figure covers the total share of the labour force employed in science and technology across all genders.

Progress Or Work-in-Progress?

52.5% in the broad category. 40.8% among scientists and engineers. 31.3% in manufacturing. Europe’s gender gap in science and technology hasn’t closed yet, and there is still work to be done to encourage and support more women to enter the field, especially in research and manufacturing.

Let’s not wait another decade for another couple of percentage points of hope.