Recruiting AI and Data for UK/EU startups and enterprise. 15 years in. Running searches across agentic AI, knowledge graphs, FD data science etc.
Wave Talent
I have spent 15 years placing tech and GTM, currently data and AI talent, in US and EMEA.
Here's what I actually see in the market right now, not what the reports say.
@kirill_shevch It's a great time to move, giving me SF vibes right now tbh.
There's something in the air,less burnt out people and more hope, positivity and social connecting. I'm loving it
okay it’s time to launch the pub club
a chat for london ppl building in tech, ai, crypto + startups
every week we’ll hit a different pub in the city
once we hit a certain number of people we’ll close it and only allow member referrals
so, you in? reply or dm me ur tg handle🍻
P(Doom) is a hot topic in AI.
Something that resonated with me were the words from @mmuthukrishna
"Our greatest achievements and our greatest atrocities are both cooperative acts"
@alexmamyy My GCSE French failed me/ I forgot.
Coincidentally I now live closer to France than London 😅 tempted to see if I can padelboard over to Granville for breakfast one day
Seed median has gone from $8m to $28m since 2017.
What I'm seeing as a result: founders hiring for scale from day one. First engineers are expected to build like it's Series B. The bar has risen.
(Info from @twistartups with @Jason@jeff@jefielding@davemcclure
Bonus highlight:
After 21 years of running Uncork, @Jeff has handed the reins to Andy McLaughlin and launched Clos Clavier in Walla Walla.
The red is called Series B. The next release is Carried Interest. His tip: decant the Series B for an hour.
Super tempted to order a case and be a tech recruiter with a Series B from him 😂
What this means for hiring in data and AI, from where I sit:
Bigger seed rounds mean founders are hiring for scale earlier. First engineers are expected to build like they're at Series B.
Cheaper inference and open-weight models are rewarding engineers who can evaluate, serve and fine-tune models, and who treat compute cost as a design constraint.
Defence, cyber and sovereign infrastructure are opening up real demand across the UK and Europe for security-cleared data and AI talent.
Dave extended Jensen's Law ("AI won't take your job, a person using AI will") during a P(doom) debate. AI won't end humanity, but a human enabled with AI might. Now named it McClure's Law.
The serious point underneath it: the risk and the upside both sit with the people using the tools. Accountability, judgement and good monitoring matter more, not less.
Jenny Fielding is still writing $250K cheques into pre-seed B2B rounds of around $1m, across categories. As she put it, there are about ten of them left doing it.
If you're a founder at that stage with a focused pitch, @EverywhereVC is worth knowing.
@davemcclure shared a smart liquidity idea for fund managers: the single-asset continuity SPV.
Within 3-6 months of a Series B or C, move part of a position from the fund into an SPV at the new post-money price. LPs choose to take liquidity or roll into the new vehicle. The fund generates DPI in years 5-8 and keeps exposure to the upside.
He's presenting it at the Sidecar SPV Summit in New York next Tuesday.
Great portfolio news from the show:
@LoftOrbital raised $1bn to build what Jeff described as the largest AI compute constellation in space. They run models in orbit and send down the answer, not the raw data.
@micro1_ai: Jason invested at a $12m valuation, and they've just raised $100m at $4bn, profitably.
@AskTaxGPT went from Founder University to LAUNCH to Y Combinator, and is now at tens of millions in revenue.
@numeral , an Uncork company, announced a $100m Series C led by Insight.
Where to look next:
Sovereignty and defence tech are what everyone in Europe is trying to work out right now, and cyber is set to be a massive space. There's a wave of startups building for resilience across critical infrastructure.
Fintech and healthcare also came up as underrated. These are huge markets with strong technical founders, currently less crowded than AI-native categories. That's a good place for founders and investors to find an edge.
Consumer AI is back in play.
@noahrshinn's Instinct, a personal agent you text or call that acts on your behalf, has attracted some of the best consumer investors in the market within months.
The broader read: agents that do things for you, not just answer questions, look like the next platform.
Big week for AI builders. @OpenAI and @AnthropicAI both shipped new models with major price cuts on the same day.
Add the fact that open-weight models now handle roughly 78% of tracked token volume, and builders have more choice on cost and capability than ever. Products that didn't pencil out a year ago now do.