Software moves at AI speed. Infrastructure doesn't.

One of the biggest mistakes AI startups make is assuming physical infrastructure can move as quickly as software development. Sergii Gerasymovych explains why AI models can be built in weeks, but AI data centers, electrical infrastructure, and power capacity can take months, or even years, to deploy.

As demand for artificial intelligence accelerates, founders, AI companies, and cloud providers need to plan their compute infrastructure long before they need it. The future of AI won't just depend on better models; it will depend on better planning for power, data centers, and hardware.

Discover why AI infrastructure, data centers, cloud computing, AI hardware, power grids, compute capacity, and enterprise AI are becoming the biggest challenges for scaling artificial intelligence.

What's the biggest bottleneck for AI today: chips, power, or infrastructure? 👇

👉 Watch Full Episode: https://youtu.be/sTKP3hEzS1g

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