How to automate without creating faster chaos
Plus: Europe minted its first fusion unicorn
· 696 words
Christian Woese & Melanie Gabriel
July 14, 2026 • Read time: 4 minutes
Dear hustlers, founders, operators and visionaries,
Two teenagers took a Waymo on a drunken joyride last week, firing gel pellets out of the window, until employees watching the live in-cabin feed called the police, remotely disabled the car, and told the pair it was having trouble while officers moved into position. Autonomous vehicles come with surveillance. Something to keep in mind before your next confidential fundraising call from the back seat. Follow the Gradient and stay tuned.
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Your talk track for this week's cocktail party
Lovable seeks to double its valuation to $13.2bn
Sweden's Lovable is in talks to raise $300m at a $13.2bn post-money valuation, led by Menlo Ventures, according to Sifted. That would double the $6.6bn it commanded last December, on $500m+ in annualised revenue from just 146 staff.
Yann LeCun's VC fund lasted one day
'AI godfather' Yann LeCun was announced as general partner of Extelligence Invest, a new €200m fund for AI, robotics and deeptech. Within a day the firm shut down after it emerged LeCun had existing exclusive relationships with other funds. He just raised a $1bn+ seed for his own lab, AMI, in March.
Europe has its first fusion unicorn
Munich's Proxima Fusion raised €411m at a €2.4bn valuation, the largest private fusion investment in European history and the continent's first fusion unicorn. Google and RWE joined as strategic investors, and Bavaria matched the round with €400m in public funding. The Max Planck spin-out is building stellarator reactors, with a net-energy demonstrator planned in Bavaria.
What do you meme?

Food for thought
Time to build for Europe?
In an open letter to Europe's technical students, Dominique Paul argues that the continent's future will not be built by governments but by the few people who actually know how to build foundational technology. ETH, EPFL and TUM produce absurd technical talent every year, and almost all of it talks itself out of founding, taking a job at Nvidia instead. His point: technology companies are not started by the most qualified person, they are willed into existence by people who refuse to stop.
AI startups really do run lean
HubSpot's masterclass in losing trust?
Hubspot collects vast amounts of outreach data from its customers. Last week, it announced that customer CRM enrichment data would be shared across accounts, opt-out by default. Four days of backlash later, chief product officer Duncan Lennox reversed the change entirely in a post titled “We got this wrong, and we are fixing it”. Is this the first sign that building data moats in an AI era will not be as easy as companies wish?

Smart hack
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From us
Everyone is wiring AI tools together. Almost nobody writes down the decisions those tools are meant to make. Operator Audra Carpenter's fix: build your own operating system before you automate anything:
Extract the decision, not the task. Before automating a recurring job, write down what you actually decide each time: the audience call, what you include, what you refuse. That hidden logic is the asset.
Architect, then operate, then automate. Wire tools together before the logic exists and you just get faster chaos. The order matters.
Keep it tool-agnostic. If your system is the logic, not the software, swapping to a new AI model is a dropdown, not a rebuild.


