Startup founders are being pushed to move faster than ever, using AI while facing tighter funding, rising infrastructure costs, and more pressure to show real traction early. Cloud credits, access to GPUs, and foundation models have made it easier to get started, but those early infrastructure choices can have unforeseen consequences once startups move beyond free credits and into real cloud bills.

On this episode of TechCrunch’s Equity podcast, Rebecca Bellan caught up with Darren Mowry, Google Cloud’s vice president of global startups who is right at the center of those tradeoffs. Together, they discuss what Mowry’s seeing across the startup ecosystem, how Google Cloud is competing for AI startups, and what founders should be thinking about as they scale.

Chapters:

00:00 Intro
03:21 How startups can join the Google Cloud ecosystem
05:00 Beyond credits: Engineering resources & technical support
07:30 TPUs vs. GPUs: Building with choice
09:15 When cloud costs spike after credits run out
11:46 The shift from chips to models and agents
13:40 Trends in AI adoption among early stage companies
16:30 Are agents generating real revenue yet?
18:05 Competing with AWS and Microsoft
20:52 Startup usage vs. durable paying demand
23:30 Check engine lights: LLM wrappers and aggregators
25:45 Green lights: Biotech, climate tech, and world models
30:00 Outro

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