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Top AI Researchers Pivot From Big Tech To Launch Billion-Dollar Startups

Elite Talent Charting a New Course

AI researchers are leaving large technology companies, including Meta and Google, to launch new startups. Founders are using prior research experience to build early-stage companies and attract investor funding. Capital is increasingly directed toward these ventures as investors back teams with established track records in AI development.

Record-Breaking Capital And Strategic Shifts

Former Google DeepMind researcher David Silver has raised $1.1 billion for startup Ineffable Intelligence. Tim Rocktäschel, also previously at DeepMind, is raising close to $1 billion for Recursive Superintelligence. Yann LeCun founded AMI Labs, which reported a $1 billion funding round. The transactions indicate increased funding flows toward AI startups founded by former large-tech researchers.

Strategic Recruitment And Research Diversification

Teams at these startups include former employees of OpenAI, DeepMind, Anthropic, and xAI. Elise Stern, managing director at Eurazeo, said founders with experience in large organizations understand both scaling processes and internal constraints. Focusing in large labs on speed and benchmark performance can limit work in areas such as new architectures, interpretability, and specialized models. Startups are allocating resources to these areas.

Exploiting Niche Opportunities In A Competitive Landscape

Startups, including Ricursive Intelligence and Periodic Labs, are targeting specific use cases. Ricursive Intelligence, founded by former researchers from Anthropic and Google DeepMind, is developing AI tools for chip design. Teams involved in earlier projects, including Google’s AlphaChip, are being reassembled in new companies. These firms are positioning themselves as independent suppliers to semiconductor companies.

Reimagining The Future Of AI

Investment in AI startups reached $18.8 billion in 2026. Funding is concentrated in companies led by researchers with prior experience in large AI labs. Industry discussions are focusing on whether current large language model approaches can support future development. Startups are working on areas including robotics, healthcare applications, and manufacturing systems, with a focus on reliability and model performance.

Conclusion

Movement of researchers from large technology companies to startups is changing how AI projects are funded and developed. The trend is increasing competition across early-stage companies and established firms.

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

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.

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.

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