AI drives hiring shift to senior devs at EU startups

Notion Capital's latest Cloud Challengers Top 100 research points to a hiring shift at early-stage European software companies, as founders favour senior developers while AI produces a growing share of production code.

In a survey of more than 60 founders, 75% said they now prioritise experienced hires over junior developers. The research also points to smaller teams, with a median headcount of 10 across this year's cohort.

Founders linked the preference for senior engineers to AI-assisted development. Two-thirds said more than 80% of new code at their companies is AI-generated, with several putting the figure as high as 95%.

Notion Capital tied that change to a renewed focus on architecture, quality control and decision-making. The report describes a "Minimum Viable Team" model that keeps organisations lean while concentrating responsibility in fewer, more experienced hands.

"AI has made 80% of most tasks almost incredibly easy. The last 20% is where European startups now compete. AI has made outputs abundant, but it has eroded trust. The competitive advantage in 2026 is where human signal, accountability and judgment are front and centre, and command a premium," said Jos White, General Partner at Notion Capital.

AI-Native majority

The report suggests the shift towards so-called AI-native products is nearly complete among companies on its Top 100 list. It found that 81% now have AI as a core component, up from 50% in 2025 and 25% in 2024.

Notion Capital defines AI-native companies as those whose products could not exist without AI. The report argues the shift is shaping not only product design, but also how teams operate and which roles founders consider essential in the earliest stages of building a company.

A split is emerging within the AI-native cohort. The analysis found that 63% focus on vertical, industry-specific offerings, while 37% take a horizontal approach across sectors.

White said the economics of software could shift as AI-native companies expand the range of business processes that vendors address.

"AI-native companies will ultimately offer products that are cheaper and better, and they will also expand the overall market opportunity. Currently an average company spends around 10% of their operating expenses on software; this new generation of AI companies will also target the other 90% that is not spent on software,"

he said.

Sector mix

Developer Tools & Infrastructure remained the largest category in the Top 100, with 12 companies, though it no longer dominates the list as it did last year.

Industrials & Robotics and Sales Enablement & Customer Success each accounted for 11 companies. The rise of Industrials & Robotics marks a notable change, as the segment barely appeared in earlier editions of the research.

The sector mix reflects a broader shift in how AI adoption is spreading. Notion Capital's analysis points to increased activity in physical-world industries, where automation and robotics intersect with AI-led software.

Geographic spread

The UK remained the largest source of companies in the Top 100, with 29 businesses. Germany followed with 16 and France with 13.

Sweden and Belgium increased their representation sharply, with nine and seven companies respectively, up from two each last year.

Germany's tally fell from 26 companies in 2025, while the UK stayed broadly stable from 30. France's representation was unchanged.

How the list is built

Notion Capital uses a rule-based scoring approach that draws on public-domain information and its internal data infrastructure. The process starts with about 20,000 European B2B software companies and narrows them to 100 using its scoring methodology.

The framework places significant weight on team quality and business velocity at early-stage companies. It also considers fundraising progress and product signals, including reviews and published analyst or media coverage, where available.

Notion Capital, an early-stage investor in business software, has more than GBP £1 billion in assets under management and more than 100 investments to date.

White said the findings underline how AI adoption has changed assumptions about growth.

"The size of an early-stage company used to be taken as a measure of growth and success; that is no longer the case. Now, senior hires are preferred - often senior people with coding skills and good judgement - to ensure quality. We are witnessing a redefinition of what it takes to build a high-potential early-stage company,"