AI Investments Under Scrutiny as Market Adjusts Expectations

Investors in the tech sector are navigating a period of intense activity and reflection, with the stock market actively adjusting its short- and medium-term expectations for artificial intelligence. After a challenging week marked by a significant sell-off, the Nasdaq Composite index managed to climb on Monday, October 19. This recovery followed an earlier downturn directly linked to mounting doubts about the profitability of AI investments, as reported by CNBC.

In the week prior to this rebound, the Nasdaq had plummeted 4.5%, marking its largest weekly decline since late June of the previous year. In parallel, the information technology sector suffered its worst weekly performance since April 2025, shedding more than 6% of its value. During that period, hedge funds sold a record percentage of global tech stocks, a significant data point according to Goldman Sachs estimates.

AI Profitability Under Debate

Concerns about the long-term economic viability of artificial intelligence have intensified, fueled by earnings reports and market analyses. A CNBC report revealed that Anthropic's third-quarter revenue reached $16.8 billion, a substantial increase from $11.6 billion in the second quarter. Despite these positive figures, investors interpreted this growth as a signal that the pace of expansion in AI development might not be as rapid as initially projected, raising flags of caution.

In a related development, CoreWeave, a key player in providing cloud infrastructure for AI applications, saw its shares plummet more than 25% the previous week. This sharp drop was attributed to growing concerns about its debt levels. Financial instruments designed to insure its credit, known as credit default swaps, reached distress levels, indicating significant worry, according to information gathered by CNBC.

Ron Albahary, chief investment officer at LNW, offered a clear perspective to CNBC, stating that "prior to this wave, this sell-off, I think investors were assuming that all AI investments were going to pay off, and that's not the case." This statement underscores a significant shift in market perception. Investors are now seeking much clearer and more tangible capital returns to justify the large sums being poured into this field, moving past the notion that any AI bet would automatically be successful.

Gartner Warns on AI Investment

The research and advisory firm Gartner supported this more cautious view with a forecast that sent ripples through the market. It maintains its estimate that $3.5 trillion in AI investments could be "on the rocks" due to serious doubts about the profitability of leading artificial intelligence models. John Lovelock, Gartner's chief forecaster, explained to CNBC that, for now, returns "are not yet backing up the full scale of investment" that has been made.

Lovelock anticipates potential consolidation and a wave of takeovers among "neocloud" companies—those dedicated exclusively to AI infrastructure and services. This scenario is partly due to a timing mismatch in the market. "At the moment, we have more compute capacity than we have demand, and we have a lot of the tokens and processing power being given away in freemium solutions," he detailed. The Gartner expert believes this dynamic will lead the AI market to "likely collapse down to a duopoly," with companies fiercely competing for a "last-man standing position" in a race for dominance.

Big Tech's AI Moves

Despite the general concerns and market caution, some of the major tech companies continue to bet heavily on AI with the launch of new products and services. Apple, for instance, unveiled its HomeView smart home hub, a device designed to hang on walls or perch on tabletops, powered by Apple Intelligence and its AI-upgraded Siri assistant. The company's shares gained 1% after the announcement, according to a report by Reuters.

Meanwhile, Meta Platforms also saw its shares climb more than 2% following the rollout of its Muse Wonder artificial intelligence model. This debut was well-received on Wall Street, with the firm Truist even hiking its price target for Meta shares, as reported by CNBC. These movements demonstrate that while the market is cautious, AI innovations from sector leaders still generate optimism and investor interest.

Why it matters

The recent stock market volatility and warnings from analysts like Gartner signal a significant shift: the artificial intelligence sector is moving past its initial phase of euphoria and entering a more mature stage. Now, profitability, the sustainability of business models, and the actual return on large investments are the primary concerns. This means that AI-dependent companies will face much stricter scrutiny. We are likely to see a restructuring of the sector, with greater consolidation and a more cautious approach from investors, prioritizing companies that demonstrate solid business models and the ability to generate clear profits from their AI developments.