Futures
Access hundreds of perpetual contracts
CFD
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Pre-IPOs
Unlock full access to global stock IPOs
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Promotions
AI
Gate AI
Your all-in-one conversational AI partner
Gate AI Bot
Use Gate AI directly in your social App
GateClaw
Gate Blue Lobster, ready to go
Gate for AI Agent
AI infrastructure, Gate MCP, Skills, and CLI
Gate Skills Hub
10K+ Skills
From office tasks to trading, the all-in-one skill hub makes AI even more useful.
GateRouter
Smartly choose from 40+ AI models, with 0% extra fees
Just caught something interesting from one of the biggest names in finance. Larry Fink, the BlackRock CEO, is floating an idea that computing power could eventually trade like oil or wheat in futures markets. Sounds wild at first, but when you think about where AI is heading, it actually makes sense.
The core insight here is pretty straightforward: AI infrastructure is becoming the real bottleneck, not the technology itself. Everyone's racing to grab GPUs, data center capacity, and semiconductor chips. As that competition intensifies, Fink is suggesting we might see actual derivatives markets emerge around computational resources. Companies would lock in access to processing power the same way energy firms hedge electricity contracts.
What caught my attention most was how Fink dismissed the AI bubble narrative. He's not saying valuations are justified because sentiment is hot—he's saying the real problem is we don't have enough infrastructure to meet what's actually being demanded. That's a different argument entirely. It suggests the infrastructure buildout could run for years, and whoever controls computing capacity will hold serious leverage.
When you look at semiconductors, data centers, and GPU supply right now, you see why this matters. These resources are already becoming strategic assets. Countries are competing for chip manufacturing capacity. Tech companies are spending billions on new data centers. The race for computational resources has basically become a defining theme across the entire sector.
If larry fink's prediction plays out, we're looking at a fundamental shift in how digital infrastructure gets valued and traded. Computing power becoming a commodity means new pricing mechanisms, new risk management tools, and new ways for businesses to secure long-term access. It's the kind of structural change that happens when a resource becomes genuinely scarce.
The energy angle is worth noting too. Powering these AI systems requires massive electricity. Some analysts think future AI growth depends as much on power generation as it does on chip development. That adds another layer to why infrastructure is becoming the real story.
Larry Fink's essentially saying: don't focus on whether AI is overvalued—focus on whether we can actually build enough infrastructure to support what's coming. That reframing changes how you think about what matters over the next few years. Worth keeping on your radar.