The Blink Edition No. 12

The European private markets briefing you can't afford to miss. Deals, signals, and moves, decoded every Monday by SeedBlink.

One of the most useful things I have learned to do is find the right people for the right jobs and get them to work together. Nothing I have built would have worked without it.

Which is why what worries me about AI right now is not what it does to companies. It is what it does to how people learn.  When I review a business plan written with AI, I can see immediately where it went wrong, because I built those models by hand for years. A programmer who has written code without assistance spots the flaw and sends it back. The tool is extraordinary once you have enough experience to know when it is talking nonsense.

If you are at the start of your career and you have never done the work manually, you take the output at face value. It sounds authoritative, and it can be completely wrong.

The generation entering the workforce now at least went through school before all this. The one after them will not have. And the roles where people used to learn by doing the slow, manual version of the work are precisely the roles being automated first.

I am not arguing against the tools. Refusing to use them puts you behind. But someone has to think about where the next generation of senior people will come from, because they do not arrive fully formed.

AI skills are now the hardest thing to hire anywhere in the world. That is new.

ManpowerGroup's 2026 Talent Shortage Survey, covering 39,000 employers across 41 countries, found AI capability has overtaken engineering and traditional IT as the most difficult skill set to fill, the first time it has topped the list. 72% of employers report difficulty filling roles at all.

The European picture is more specific and less comfortable. The Linux Foundation's State of Tech Talent Europe report finds AI is currently a net creator of technical jobs on the continent, with a positive net hiring effect of 27% expected among surveyed organisations this year. Demand is not the problem.

The problem sits underneath it. The same report flags a contraction in entry-level technical roles across Europe and names it directly as a risk to the future supply of mid-to-senior professionals. Those two findings belong together: the market is competing harder than ever for experienced people while quietly removing the positions where experience used to be manufactured.

This is a slow-moving version of a problem investors recognise in other contexts. A pipeline that stops being fed does not fail immediately. It fails in three to five years, when the people who would have been ready are not.

For founders, the practical question is whether the junior roles you are not filling this year are roles you will need filled by 2030. For investors, it is worth asking portfolio companies how they plan to build capability rather than only buy it. The ones that solve this internally will have an advantage that never shows up in a hiring plan.
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€330,000, eight angels, one clean structure

"A round takes a few weeks. The relationship with these investors is the next ten years. We chose this setup for the trust it builds now and the decade it has to survive." - Alex Balint, CTO & Co-Founder, Outcome1.AI

For Outcome1.AI, the hard part was never finding the right investors. It was everything that came with bringing them on board: eight separate coordination jobs, a cap table about to fragment ahead of institutional rounds, and money that only lands once the slowest signature does.

They ran the round as a private syndicate on SeedBlink instead. One line on the cap table, closings in stages so capital was put to work as it arrived, and onboarding, compliance and payments off the founders' desks.

Read the full case study
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Germany 🇩🇪

The Exploration Company raises €387M Series C
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The largest Series C ever raised by a European space company, co-led by Bessemer, Atomico and the EQT-managed Scaleup Europe Fund, bringing total funding to around $680M. The money goes toward docking its Nyx capsule with the ISS and building Storm, Europe's first reusable high-thrust engine using the same full-flow staged combustion cycle as SpaceX's Raptor.

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France 🇫🇷

Tellia raises €4.3M pre-seed

Paris-based Tellia raised €4.3M led by Revent for a voice layer that turns spoken field updates into structured agricultural records. Co-founder Coline Labadie de Faÿ frames the problem precisely: people who spend their days in the field spend their evenings at a keyboard, which was never a data problem but an interface one.

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Germany 🇩🇪
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Ground A raises €9.1M pre-seed
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Munich-based Ground A raised €9.1M led by Vsquared Ventures, with Quantum Systems joining as a corporate investor, for a counter-drone system that fits on a Euro pallet. The GA 1000 combines radar, computer vision and a laser effector, with a human operator deciding whether to fire. The company was founded in January and left stealth this month.

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Am I a fake founder? What it's like joining a startup as a cofounder a year late
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Gabriella Sahlman on arriving at a company where the culture, the relationships and the ways of working had already formed without her. Her advice for anyone in the same position: resist the urge to change things, and work out what deserves to stay exactly as it is before deciding what the next stage actually requires.

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A glossary of common AI terms
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TechCrunch's plain-language guide to the vocabulary that now shows up in every pitch deck and board pack, from hallucinations to inference. Useful for anyone who nods along in meetings and would rather not.

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Hot European Summer

Marc Rubinstein on an odd asymmetry: European equities are outperforming the S&P 500 and drawing their best inflows in a decade, almost entirely from foreign investors. Equity holdings make up around 20% of household wealth in Europe against nearly 50% in the US, and just 7% of German and Italian households own stocks directly.

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