Tech stocks plunge for the second straight day as investors question AI profits
Investors are on high alert. 📉
For the second time in a row, tech stocks melted down on the Nasdaq, and the mood across financial markets has been pretty heavy over the past few days. On Tuesday, June 23, 2026, the Nasdaq Composite dropped 580 points — a 2.2% decline — closing at 25,587. The tumble came right after a 1.3% pullback on Monday, stringing together two consecutive sessions of steep losses that set off alarm bells on Wall Street.
The big question everyone is asking right now is simple but powerful: is artificial intelligence actually going to deliver the profits the market has been promising?
For a long time, just mentioning AI in a presentation was enough to send stocks soaring. But now the game has changed.
Market volatility is back with a vengeance, giants like Meta and Microsoft have already slipped into bear market territory — where shares fall at least 20% from their most recent peak — and even the hype around SpaceX cooled off remarkably fast after an IPO that seemed unstoppable.
Let’s break down what’s happening, why it matters, and what the experts are saying about this moment. 🔍
What made tech stocks fall this time
The drop didn’t come out of nowhere. It’s the result of pressure that had been building for weeks, mixing inflated earnings expectations, stretched valuations, and a very clear shift in investor sentiment toward the artificial intelligence sector. The Nasdaq, which historically houses the world’s largest tech companies, posted significant losses over two straight sessions, drawing comparisons to some of the most tense moments of recent years.
James Reilly, senior markets economist at Capital Economics, summed up the situation pretty bluntly in a note to clients: sharp declines in tech stocks without any specific catalyst are yet more evidence of growing volatility in these names, the result of what increasingly looks like overblown earnings expectations and valuations.
Companies like Meta, Microsoft, Alphabet, and Nvidia saw billions of dollars wiped from their market caps in a matter of hours. What stands out is that there wasn’t a single isolated event or specific piece of news that triggered the sell-off. It was a combination of factors that, together, created an atmosphere of widespread distrust. Investors started questioning whether the massive spending on AI infrastructure, data centers, chips, and large language models will actually translate into real revenue in the short and medium term. And when that doubt hits, the market responds fast — and rarely gently.
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The S&P 500 didn’t escape either, pulling back 1.4% on the day. The Dow Jones Industrial Average had a more modest decline of less than 0.1%, showing that the impact was concentrated mainly in the tech sector.
Despite the widespread bloodbath, some stocks managed to recover during the trading session. Alphabet, Google’s parent company, closed down 0.8%, while Amazon ended the day up 0.6%. Nvidia, the chipmaker that has become synonymous with the AI boom, tumbled 4.2%, and Broadcom sank 3.1%. SpaceX shares rose $1.51, or 1%, closing at $156.11 — a modest relief after the 16% plunge on Monday.
Artificial intelligence is still the big story, but now with tough questions
For months, the narrative was straightforward: artificial intelligence is the future, and anyone investing in it is going to make a lot of money. That idea was enough to push tech stocks to historic levels on the Nasdaq, with valuation multiples that in many cases had very little grounding in actual financial fundamentals. But now the market is calling in the tab, and the question analysts are asking is direct: where are the profits AI was supposed to generate?
The honest answer is that it’s still too early to accurately measure the return on the billions being poured into AI. Companies are spending unimaginable sums on Nvidia chips, state-of-the-art data centers, research teams, and cloud infrastructure, but the actual monetization of those assets is still a work in progress. That doesn’t mean the technology doesn’t work or that the potential isn’t real — but it does mean the market may have priced in a future that’s still a few years away from truly arriving.
A new and quite revealing data point comes from the Bank of America Institute. According to the firm, only about 3% of its clients pay for AI services, and most of those people belong to households earning more than $125,000 a year. The median spending among those clients is $20 a month on artificial intelligence apps. In other words, despite the enormous buzz around tools like OpenAI’s ChatGPT and Anthropic’s Claude, the vast majority of people are still using free versions.
On the flip side, the same report offers a more encouraging perspective: the number of households paying for AI services has grown 38% since 2024. And as the technology gets woven into areas like productivity, search, entertainment, shopping, and personal assistants, Bank of America projects the U.S. consumer AI market could scale to $75 billion annually.
This gap between expectation and reality is exactly what’s fueling market volatility right now. More seasoned investors already know this cycle well — it happened with the internet in the ’90s, with social media in the early 2010s, and now it seems to be repeating with AI. The initial hype creates an expectations bubble, and when real results don’t arrive at the expected pace, the market corrects — sometimes sharply. That doesn’t erase the real value of the technology, but it resets timelines and expectations in a much more realistic way. 🤔
The SpaceX case and what it reveals about investor appetite
One of the most telling episodes of this market moment was what happened with SpaceX. The company led by Elon Musk held its long-awaited IPO in early June, and the initial investor response was overwhelming. Shares surged past $200 within days, driven by enthusiasm that combined cutting-edge technology, the powerful narrative of space exploration, and the magnetism of the Musk brand.
But the excitement cooled off at an impressive speed. Since June 17, SpaceX shares have been sliding as investors started questioning whether the company can justify a valuation that topped $2 trillion. On Monday, the stock crashed 16% in a single session — a nosedive that rattled the market and spotlighted the risks of betting on extremely elevated valuations during times of uncertainty.
The broader context of market volatility, combined with growing doubts about the tech sector as a whole, pushed investors into a much more cautious stance. The idea of holding positions in an ultra-high-risk asset at a time when even the well-established giants on the Nasdaq are losing value made a lot of people hesitant. What seemed like an obvious bet started looking like an unnecessary risk in an environment of mounting uncertainty.
This episode is an important barometer of the current market mood. When even the most exciting and well-narrated projects face skepticism, it’s a sign that investors are demanding more than compelling stories. They want hard numbers, sustainable business models, and revenue predictability.
What the experts are saying about this moment
Market analysts have pretty divided opinions on what to expect going forward, but one common thread unites most of them: this correction, however painful it may be, could represent a healthy shift in mindset.
Nigel Green, CEO of financial advisory firm deVere Group, was quite clear in stating that for too long, the market treated AI spending as something unquestionably positive. Now, according to him, investors are becoming more demanding and want evidence that unprecedented spending will translate into unprecedented profits. In his words, what we’re seeing now are investors demanding proof instead of promises — and that shift, while uncomfortable, is fundamentally healthy.
Brock Weimer, investment strategy analyst at Edward Jones, brought some important context to put the decline in perspective. He noted that the Nasdaq had rallied 26% between March 30 and the previous day’s close, while the PHLX semiconductor index surged more than 100% over the same period. Seen through that lens, a period of consolidation is reasonable after such a steep run-up.
James Reilly of Capital Economics added a more concerning warning: if semiconductor companies, which are the new market leaders, also start stumbling, the stock market as a whole could be in serious trouble.
The global ripple effect of Wall Street turbulence
The wave of selling didn’t stay confined to the United States. In South Korea, the Kospi index plunged 10%, closing at 8,203.84 points, in a move amplified by signs of increased regulatory scrutiny over the country’s semiconductor sector. This data point is particularly relevant because South Korea is home to giants like Samsung and SK Hynix — companies that play a central role in the global chip production supply chain for AI.
Bret Kenwell, U.S. investment and options analyst at eToro, told CBS News that this global weakness and widespread volatility in tech stocks are weighing directly on American shares. The market is increasingly interconnected, and when a major region takes a hit, the domino effect is almost inevitable. 🌍
Interest rate anxiety adds to the picture
As if the turbulence in the tech sector weren’t enough, another factor is pouring fuel on investor nerves: interest rates.
The Federal Reserve’s monetary policy committee signaled last week that it may raise borrowing costs in 2026, aiming to contain accelerating inflation driven by months of rising oil prices, largely stemming from the conflict in Iran.
Economists project that the U.S. consumer price index, set to be released on Thursday, accelerated to 4.1% in May, up from 3.8% in April. Numbers like that reinforce the expectation that the Fed will need to act.
Traders are already positioning for this scenario. According to CME Group data, bets on at least one Fed rate hike by year-end have jumped to nearly 90%, up from 57% just one week ago. Higher interest rates make borrowing more expensive and naturally reduce the appetite for riskier assets like tech stocks listed on the Nasdaq.
For companies spending billions on AI infrastructure with no immediate return, a higher interest rate environment makes everything harder. The cost of capital goes up, investors become more selective, and the margin for error shrinks dramatically. It’s one more ingredient in the cocktail of uncertainties shaping the market right now.
Why this moment matters beyond the financial markets
It’s tempting to see all of this as a problem exclusive to people with money in the stock market, but the reality is that what happens with tech stocks on the Nasdaq has a much broader impact than it might seem. When major tech companies face pressure in the markets, they tend to revise their hiring plans, cut back on research and development spending, and delay product launches. That directly affects the pace of technological innovation that everyone — investor or not — ends up feeling in everyday life.
In the specific case of artificial intelligence, a slowdown in investment could delay the development of tools with real potential to transform areas like healthcare, education, productivity, and sustainability. Startups that depend on funding rounds to keep operating become especially vulnerable when the market tightens up, and many promising technologies might never reach the market simply because the economic timing wasn’t in their favor. It’s a domino effect that goes far beyond stock charts.
That’s why paying attention to this movement makes sense for anyone interested in technology, even without a single share in their portfolio. What’s being decided right now on the Nasdaq trading floor, in the boardrooms of big tech, and at the desks of institutional investors will shape the pace at which AI advances over the coming years.
And as Nigel Green put it well, this accountability phase may be uncomfortable, but it’s fundamentally healthy. The market matures when it stops buying promises and starts demanding results. Artificial intelligence hasn’t lost its potential — but the road between potential and real profit has become clearer, and more demanding, than many had imagined. 🌐
