BlackRock just mapped the machine-native economy: AI as machine intelligence, crypto as machine money, and compute as the next tokenized market. Hyperscaler cloud could top $1T by 2030. Agents will buy capacity on programmable rails, settle in stablecoins, and treat compute like a claim you can finance and trade.
Akash shipped that market in 2021.
Mainnet 2 went live as a permissionless compute marketplace: tenants set the price, providers bid unused CPUs and GPUs, leases settle on-chain in AKT. While institutions were still describing “standardized claims on compute,” Akash was already leasing them.
The paper says the rails and the commodity are converging now. Akash has five years of product, GPU marketplace, and machine-payable leases.
The thesis caught up. Time is right. $AKT
@canermtl@gregosuri In GPT:
What token in cryptocurrency has the best market cap and token supply ratio for a great return, as well as meets narrative and has usage?
Then ask if they could only pick one that meets that criteria.
#AKT
@gregosuri Love this. I’m an electrical contractor and built https://t.co/X9Hr0Y3gp6, an AI platform for trades businesses. It’s completely transformed how I run my company, and I can offer it for a fraction of what most competitors charge. AI is changing the game.
Cloud compute costs are still the main gating factor for founders who want to price competitively and scale real usage.
Even after optimizations, marginal AI-driven workflows push pricing higher than many builders want early on. Long-term, I think Lovable really wins if founders can grow without feeling punished by infra costs and under cut competitors
@gregosuri@akashnet@intercom Love seeing Lovable and Akash in the same room. Feels like there’s a huge opportunity for low-cost AI compute behind the scenes so builders can scale without migrating stacks. A hybrid setup could be beautiful for founders.