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There’s been a lot of chatter about AI bubbles lately.
Most of it focuses on whether the technology is overhyped, whether valuations are too stretched or whether Nvidia (NVDA) can keep delivering.
But the real near-term risk is more fundamental than hype. We’ve entered a phase where companies are pouring money into AI on the assumption that transformation and returns are just around the corner — yet those returns still haven’t materialized.
The spending has gotten out ahead of the results in a way that’s not just speculative but structurally out of balance. That’s where the danger really lies.
We’ve crossed a threshold where AI spending has moved beyond Meta Platforms (META), NVDA and the research-and-development crowd.
Now we’re in a world where companies are accidentally running up $50 million credit bills and having to fire employees just to cover their AI token expenses.
That’s not hypothetical. That’s happening right now.
Some CEOs are already cutting costs to afford systems that haven’t replaced any real job functions yet.
So far, most of this investment has been fueled by faith — faith that AI must revolutionize everything soon, even though it isn’t hitting the bottom line yet. And investor patience with that kind of faith has a short shelf life.
Right now, most companies are still in the bucket where spending comes first and results are expected later. But the longer “later” drags out, the more fragile the whole excitement becomes.
The Spending Has Gotten Too Far Ahead of the Returns
The most pressing bubble isn’t about whether AI is real. It’s that spending and expectations have ballooned far faster than actual results.
We’ve gotten too far out on projected ROI that never shows up. Even if NVDA, Micron Technology (MU) and SanDisk (SNDK) have legitimate demand behind their numbers, the dozens of companies stretching themselves thin to chase AI narratives don’t.
Here’s the trigger point no one is talking about: The moment major companies — not obscure startups but giants with $100 billion or $200 billion market caps — start openly admitting that their massive AI initiatives aren’t generating meaningful revenue.
A few small companies have already hinted at this. But if the heavyweights start saying the same thing, that’s when sentiment really cracks.
There are bigger long-term issues too. If AI advances fast enough, security risks could multiply in ways companies can’t even prepare for.
You could have systems that become good enough to break into everything, making the whole ecosystem more fragile.
That’s a far-off problem, but it adds another layer of uncertainty to already massive spending commitments.
Even the Side Players Are in the Line of Fire
And it’s not just AI software or cloud players at risk.
Even hardware companies — the names that should theoretically be safer because they sell the “picks and shovels” — are tied to the narrative now. Advanced Micro Devices (AMD), SNDK and others are in the line of fire whether they like it or not.
When a narrative breaks, it rarely stops to check which businesses actually deserve the fallout.
There’s another overlooked risk too. The AI boom doesn’t need a crash or a scandal to lose steam.
All it takes is something else catching investor attention with better or faster returns. Markets rotate quickly, and if capital sees a shinier, more immediate opportunity, the AI trade can cool off just as fast as it heated up.
So while everyone debates whether AI is real or whether NVDA can keep up its growth, I’m watching for something simpler: Companies admitting they overspent on AI and have nothing to show for it yet.
Because when that admission happens at scale, the narrative shifts instantly.
That’s the bubble I’m keeping an eye on.
P.S. Want an exclusive first look at what I’ve been building behind the scenes? Join my beta testing group here before we close the doors.
Nate Tucci
Tucci Trades
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*This is for informational and educational purposes only. There is inherent risk in trading, so trade at your own risk.
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Disclaimer: We develop tools and strategies to the best of our ability, but no one can guarantee the future. All performance results are from the Alex Reid private testing where the strategy with a 75% overall win rate and an average return, winners and losers included, of 35.7% with an average winner of 62.9% with an average hold time of 1 day.Â



