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 in the latest fund manager survey that caught a lot of people off guard. For the first time in literally two decades, professional money managers are saying corporations are spending way too much on capital expenditures. And we're talking about a major shift in sentiment that happened in just the last few months.
The data is pretty striking when you think about it. Since November 2022, AI-related stocks have accounted for roughly 90% of all the S&P 500's capex growth. That's not just a trend, that's basically the entire market's investment story right now. But here's where it gets interesting - money managers are starting to react to what feels like an unsustainable pace.
You're seeing this play out in real time. The big hyperscalers like Meta, Alphabet, Amazon, and Microsoft - the companies literally building out all the AI infrastructure - are all down year to date. They're underperforming the broader market index, which is a pretty significant shift from where we were even six months ago.
What's driving this skepticism? Investors are getting nervous about whether all these massive data center buildouts and AI infrastructure investments are actually going to generate returns that justify the spending. It's one thing to invest heavily in growth. It's another thing entirely when you start questioning whether you'll ever see that money come back.
If you're trying to react to this potential bubble and want to reposition your portfolio, the analysis suggests looking at completely different areas of the market. International stocks through funds like VXUS, value-focused plays through VTV, or bonds via BND have all been outperforming the AI mega-cap stocks this year. Vanguard's outlook actually suggests that value stocks, international developed markets, and high-quality fixed income have stronger risk-return profiles over the next five to ten year calendar.
Now, this doesn't mean the AI story is dead. New breakthroughs could easily shift sentiment back in favor of these companies. But if you're looking to hedge against bubble risk, having exposure to value, international, and bonds could be a smart diversification move. Markets move fast based on new information, so it's worth keeping your calendar marked for any major announcements from these companies.