Futures
Access hundreds of perpetual contracts
TradFi
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 a pretty interesting survey that sheds some light on what the smart money is actually worried about right now. Bank of America polled a bunch of institutional credit investors, and the results are more likely than not to surprise people who've been following all the AI hype.
So here's what stood out: 23% of these credit investors are genuinely concerned about an AI bubble forming. But here's the thing that caught my attention — only 10% said they're worried about AI making corporate jobs obsolete. That gap tells you something important. These aren't retail traders caught up in the moment. These are pension funds, hedge funds, and insurance companies that literally make their living evaluating whether companies can pay back their debt. They know how to read a balance sheet.
What's driving this concern? The four hyperscalers — Alphabet, Amazon, Meta, and Microsoft — are expected to drop around $700 billion on AI infrastructure and data centers in 2026 alone. The real pressure point is the debt side of the equation. BofA's survey suggests these companies are forecast to issue about $285 billion in bonds this year, which is up roughly 36% from what they were projecting back in December. That's a significant jump, and credit investors are more likely than not to get nervous when they see capital spending accelerating while debt issuance is ramping up like this.
The underlying worry makes sense if you think about it. All this spending on AI infrastructure only makes sense if the returns justify it. But if AI capabilities end up being less transformative than the hype suggests, or if adoption takes longer than expected, you've got a situation where these companies borrowed heavily for infrastructure that doesn't generate the expected payoff. That's the risk investors are pricing in.
Here's what's interesting from a market perspective: software stocks have been absolutely hammered. The Expanded Tech-Software ETF is down more than 20% year to date, driven largely by fears that AI will disrupt or even replace software-based services. But if credit investors are right that AI fears are more likely than not to be overblown, then that selloff could represent an actual opportunity. The market might be conflating "AI will change things" with "AI will destroy entire sectors," and those aren't the same thing.
If you're thinking about repositioning your portfolio around this, there's an argument for looking beyond the mega-cap AI plays. Some people are moving into higher-quality bonds, value stocks, or even international exposure as a hedge. But there's also a contrarian angle: if the software sell-off is overdone, that's where the asymmetric upside might be hiding.
The broader takeaway is more likely than not what credit investors are signaling — the market needs to separate the genuine AI opportunity from the speculative excess. That distinction matters for how you position yourself over the next year or two.