Venture-Capital

Every major technology build-out requires two phases, according to Carlota Perez¹: the infrastructure to power it, & then the applications to pay for it.

Between 1996 & 2005, American telecom companies spent $1.5t building the internet in today’s dollars.² Meanwhile, applications riding on that infrastructure booked $180 billion of revenue.³

That’s an interesting ratio, isn’t it? Application revenue to infrastructure spend. It matters because the shorter the gap between the two, the sooner the infrastructure pays for itself. Let’s compare this to the AI era.

The most successful AI startups of 2024 shared an unlikely secret: they didn't rely on proprietary datasets. Instead, they leveraged synthetic data to outmaneuver competitors who were still chasing exclusive data partnerships and expensive labeling operations.

The numbers tell a compelling story. Synthesis AI grew 410.6% last year while Datagen raised $72M – the largest funding round in the synthetic data space. Meanwhile, companies burning millions on human data labeling watched their unit economics deteriorate as synthetic alternatives delivered 500-1000x cost reductions.