AI Stocks Becoming a Bargain Again: Why Dumping Your AI Infrastructure Stock Right Now Is a Big Mistake
AI infrastructure stocks are experiencing a rout or sell-off, and although some are drawing comparisons to the dot-com crash that wiped out trillions at the turn of the millennium, this is not the meteoric slide we associate with a major stock market crash.
It’s an unwise shift of sentiment about AI, what it’s supposed to deliver right now in profitability. It’s also about investors’ view that the economy has to keep up with AI stock valuations – because AI captures its value on the optimization of US and global economies.
The devaluation of AI stocks of late is sentiment-driven. The fundamentals are still there with strong long-term economic and stock market forecasts. Yet, Mag 7 earnings have disappointed. Experts believe their fortunes will turn around soon and with that, funds will begin flowing back into AI infrastructure spend.
The Sentiment is Downward (Remember the Volatility)
Prices of some such as KEEL, HUT, IREN and VERT are down up to 50% from the bubble-like highs of just one month ago. Nvidia too is sluggish. The slide has many retail investors selling their stock at losses or to harvest the gains they made. They feel like they’re getting out before a big dramatic crash.
The slide has been on for a few weeks, topped by the recent announcement from a Chinese AI LLM company (Moonshot AI) that suddenly announced the arrival of their competitive product, Kimi K3 model on July 16th. That announcement deflated the NASDAQ pushing a variety of US AI infrastructure stocks downward. Yet, this happened before with China’s Deepseek, which quickly faded from view. It’s unrealistic to think that one AI company in China could serve and undermine the entire US and European AI market, but investors are confused, and it’s added to the volatility.
And of course, the investment media doesn’t help with its slanted view of their future.
This selloff though, may be hard to ignore given its methodical downward grind — a daily shaving of 2% to 3% over a month that’s wearing down investors’ patience. But history shows those with patience are wise and the price will recover as the AI revolution is put into high gear. It was only 3 months ago that the AI sector was in a slump — then it soared. Like a buoy in the ocean, it likely will pop back up as the swell passes.
There are lots of reasons to believe and invest in AI infrastructure stocks, AI small caps and even large Mag7 type companies, and I’ll touch on them. Buying the dip is the passion of many retail investors, yet are you delving in deeply enough before laying your money down? Threats are always present for each individual company from internal incompetence to hyperscaler decisions. Success here might require more emotional intelligence than fundamental analysis.
A Summer Pullback for AI Stocks
Right now, the stock market is undergoing a massive, painful shakeout across the entire artificial intelligence infrastructure sector. From chip titans like NVIDIA and TSMC to critical hardware and liquid-cooling providers like Supermicro and Vertiv, the red screen is relentless. But the deepest, most agonizing cuts are being felt by investors holding the small-cap data center and power plays including companies like KEEL, IREN, HUT, and Terawulf.
If you too, are tempted to smash the sell button on your AI equities holdings just to make the bleeding on paper stop, take a deep breath. Refocus on the longer term. Don’t waste the value of your previous decision. This is a common situation in the stock market. Investment veterans call this period the “Quiet Capitulation.” It’s the exact moment emotional exhaustion peaks, tempting you to sell what is the US’ key economic foundational asset at a steep discount right before the cycle turns back upward.
Let’s look past the frightening headlines, examine the lessons of history, and explore why holding onto these physical power plays is the ultimate move of investor wisdom.
Listen to forecaster Tom Lee’s view of the current market, and he sees this as a healthy correction.
Resisting the Media’s AI Anti-Hype Campaign
To survive this downturn, you first need to understand that your current negativity isn’t entirely your own—it is being actively fed to you.
The daily financial news cycle thrives on emotional volatility. Fear generates clicks, and during periods of macroeconomic tension or election-year political maneuvering, bad market news is easily weaponized for political gain. But with artificial intelligence, the media has an even deeper, more cynical incentive to amplify panic.
Generative AI, Answer Engines, and Large Language Models represent a structural threat to the traditional, ad-supported digital media business model – which the news media and ad-revenue-based companies exist on. When ChatGPT, Gemini, or Claude gives users a direct answer on-screen (in a conversational exchange too) the traditional media empire loses the click, the ad impression, and the user data.
This is why they will prefer to frame AI infrastructure spending as a “trillion-dollar mistake” or a “bursting bubble” and it isn’t always objective journalism—it is defensive positioning. You’ve likely seen the overplay of local residents resisting or complaining about AI data centers being built near them – playing up the noise, heat, and pollution from them and how they don’t create long-term value for communities.
When the media feeds people this daily diet of skepticism, it manufactures the exact negative investor sentiment that drives this slow-bleed selloff. If the tech community doesn’t answer back to defend the value and priority of AI in the new economy, they can get the upper hand.
But this an old business ecosystem fighting for its own survival by manipulating views of a NO-AI future thus in a weak moment, you might cough up your shares and miss out on a once-in-a-generation profit opportunity.
Major Hyperscalers Continue to Spend and Rollout New AI Capabilities
We should listen to what Big Tech is doing, not what the daily stock ticker is suggesting about AI stocks. Amazon, Microsoft, and Google are spending a combined $725 billion this year exclusively to build data centers and buy compute. Their cloud revenues are growing at double-digit clips, and they are taking on corporate debt just to secure power before their competitors do. The clients for your infrastructure stocks aren’t cutting back – they’re battling in an all-out arms race.
Wall Street analyst estimates are for US$ 1.1 Trillion in spending on AI infrastructure in 2027, with slightly less in 2028. Power demand from data centers is expected to rocket to to 258 TWh, more than all the power consumed by conventional data center hardware. Nvidia expects demand for its new Rubin Ultra platforms to be strong (hardware and chips). Massive server rack densities is driving sales of liquid cooling systems and high voltage DC power systems. New power plants are being constructed solely to supply AI facilities.
AI is already delivering big profitability: The Hyperscaler’s latest earnings show that the commercial payoff of AI is hitting their balance sheets directly:
- Cloud Acceleration: Google Cloud revenue surged an incredible 63% year-over-year in their latest reporting, while Microsoft’s Azure grew 39%.
- AWS AI Run Rate: Amazon Web Services (AWS) reported its fastest growth in 15 quarters, hitting a $150 billion annualized revenue run rate. Crucially, Amazon management noted that AI-specific workloads alone are already generating a $15 billion annualized revenue run rate.
- Advertising Efficiency: Meta delivered a 33% explosion in revenue, proving that their internal AI models are heavily optimizing their advertising matching engine and driving massive revenue on their core apps.
With their fortunes so outlook and the US stock market forecast being so positive, and leveraging the power of AI, these companies will be profitable, monolithic, and have lots of cash to buy AI infrastructure services for the next 5 years.
If you’ve haven’t purchased AI stocks, this is a grand buy the dip opportunity.
The Layman Investor’s Lesson: The 2002 Fiber-Optic Clearance Sale
When Wall Street talking heads scream that “AI hasn’t translated into corporate software revenue or earnings as yet,” they are reading from a very old, predictable script. Every single industrial and technological revolution in human history has experienced this exact infrastructure lag. Profitability will arrive.
Back in the late 1990s Dot-Com boom, the rush to build the internet, companies raised billions to lay millions of miles of underground fiber-optic cables. By 2001 and 2002, tech stock valuations stretched too high, a standard cyclical correction hit, and the media declared the internet a failed fad.
Retail investors, feeling trapped and disappointed, dumped their shares in these fiber-optic companies for pennies on the dollar. They forgot about the future because they didn’t understand it and holding their stocks felt too painful.
But what happened to that infrastructure? It didn’t disappear. It sat in the ground, waiting. A few years later, that exact “overbuilt” fiber-optic network became the indispensable foundation that powered Netflix, Google, Amazon Web Services, and the entire modern smartphone economy. The retail investors who panicked locked in permanent losses; the institutional players who quietly bought that infrastructure at bankruptcy prices built generational wealth.
The Key Point: Software applications and apps can pivot, fail, or go out of style, but the physical infrastructure required to run them is an absolute commodity. You cannot code your way out of a physical bottleneck (memory, processing, power).
Why the AI Small-Caps Will Live to Fight (and Win)
The current narrative punishing small-cap infrastructure plays like Keel, Hut 8, and Iren is simple: Wall Street is worried they will burn through their cash before they can sign major technology “hyperscalers” (like Microsoft, Google, or Amazon) to long-term contracts.
This fear has been magnified by industrial giants like Caterpillar (CAT) aggressively moving into the data center space, signing massive gigawatt-scale contracts to deploy natural gas generator sets and microgrids directly to AI compute campuses.
At first glance, a retail investor might worry that Caterpillar will squeeze out the little guys. But this is a fundamental misunderstanding of the ecosystem:
- Caterpillar is a Partner, Not a Competitor: Industrial titans like CAT are providing the hardware—the heavy reciprocating engines and cooling systems.
- The Moat is the Land and the Grid: Small-caps like IREN, HUT, and KEEL possess the rarest commodity on earth right now: secured, multi-megawatt grid interconnections and land.
Securing a new connection to a local electrical grid can take five to seven years in today’s highly regulated and power-starved environment. These smaller companies already have the power hooks, the substations, and the local zoning locked down. Even if supply-chain bottlenecks delay their buildouts, their raw energy allocations are growing more valuable by the day.
Some AI companies such as KEEL Infrastructure continue to build out new data centers and power capacity even during this period of high anxiety. Is that stupidity or confidence?
The runway risk is real, given they only have so much cash to build and find hyperscalers to serve. However, as these companies transition their sites from crypto-mining environments to high-density AI data centers, they are sitting on the ultimate gatekeeper asset — the power demand bottleneck. Hyperscalers are desperate for power; it is only a matter of time before these small-caps secure the long-term lease agreements that will instantly re-rate their stock valuations.
The Path of Calm Wisdom: Buy the Disappointment
The 4th Industrial Revolution isn’t a software gimmick; it is an exponential compounding of cognitive automation that requires unprecedented physical power. Big Tech has explicitly told the market that under-investing in infrastructure is a far greater risk than over-investing.
The current stock collapse is a normal market correction, amplified by media noise, forcing a necessary re-balancing of tech valuations. Your small-cap infrastructure stocks are not flimsy tech concepts; they represent concrete, real estate, and massive electrical capacity.
When emotional disappointment peaks and the headlines look the most bleak, remind yourself of the fiber-optic clearance sale of 2002.
If you have dry powder to invest, the AI infrastructure stocks may represent the best upside of any stocks available – because every other industry will rely upon them.
The Iran war will fade, and keep in mind that June’s inflation rate in the US was lower. The price of oil will drop and we’ll see inflation roll downward again, enough that investors and consumers will spend, and business will thrive. Business will once again focus on building the foundation of the 4th industrial revolution – AI. AI will power everything from real estate to travel to e-commerce and transportation. It’s retooling the entire economy.
AI stocks promise bigger returns if you’re smartly selective. Learn about whether investing in AI stocks is wise, and which might deliver the biggest ROI going forward. Investing in specific AI stocks is risky and there are alternative investing strategies that might lower the risk considerably yet deliver a smaller growth in wealth.
* this article is provided as information only and is not intended as specific investment advice. Always educate yourself thoroughly to be aware of all market and economic contingencies, and avoid relying on one source (including an investment advisor) nor lean on AI stock prediction to make your choices. Today’s investment environment is much like gambling and big losses can occur.
