Gilion's Henrik Landgren: 'We Need to Save Venture Capital From Bad Data' — AI Is Being Misapplied Without Real Data Infrastructure

Crunchbase News·low signal

Gilion's Henrik Landgren argues VCs are using AI the wrong way — bolting models onto thin data — and that the real unlock is data infrastructure connecting directly to primary sources like financial, payment and accounting systems. It's a fintech/data-infra angle on a recurring SaaS-disruption truth: the moat is the data pipeline and connectivity, not the model or the dashboard on top. For builders, it reinforces that AI-native tools win on proprietary data access, the moat that survives while UI and feature moats die.