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Big Tech is spending $650B on AI infrastructure and still can't build fast enough. Half of US data centres planned for 2026 are delayed — and centralised compute is showing structural cracks. DECENTRALIZED AI is already running as a viable alternative at a fraction of the cost. Jack Collier, CMO at
io.net, breaks down how
io.net aggregates idle GPU power from data centres, mining rigs, and consumer devices into a single decentralised compute marketplace at up to 70% less than AWS or Google Cloud. We cover the IDE —
io.net's new economic model that replaces inflation-driven tokenomics by paying suppliers in dollar value — and Agent Compute, the March 2026 launch that lets AI agents autonomously purchase their own GPU resources. From why DePIN economics kept breaking to what the sustainability ratio tells you about network health, this is the case that decentralised AI infrastructure has graduated from hype to utility.
You'll learn:
- Why centralised AI infrastructure is hitting a wall and what decentralised compute actually solves
- How io.net's IDE replaces inflation-driven tokenomics with real revenue — and what the burn mechanism means for $IO holders
- What Agent Compute is and why AI agents autonomously buying their own compute is a first in the token economy
- How io.net routes around failure where a single AWS outage takes everything down
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https://io.net🐦
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