Dow Soars, AI Sector Undergoes Reality Check

The Dow soars to a record high on shutdown relief, yet the AI sector faces a reality check amid mounting valuation concerns. Savvy investors are now selectively picking AI plays with strong fundamentals for long-term growth.

Wall Street found reason to cheer this past Tuesday, as the Dow Jones Industrial Average soared to a record high.

The buoyant mood was largely fueled by a collective sigh of relief, with investors betting on an imminent end to the longest U.S. government shutdown in history.

“Expectations are that the shutdown is over. … People will get back to work, economic data will be released once again and uncertainty will be behind us,” remarked CFRA Chief Investment Strategist Sam Stovall, encapsulating the prevailing optimism.

Yet, beneath this veneer of market euphoria, a different narrative is unfolding within the hallowed halls of artificial intelligence.

While the broader market basked in newfound certainty, the AI sector has found itself under an unwelcome spotlight, grappling with “immense pressure” stemming from mounting valuation concerns.

It’s a classic tale of two markets: one soaring on macro relief, the other navigating a minefield of investor anxiety.

The tremors were palpable.

CoreWeave, a prominent player in the AI space, saw its shares tumble a significant 15% after its guidance failed to impress investors.

More strikingly, AI chipmaking titan Nvidia experienced a 3% pullback following news that SoftBank had divested its entire stake, cashing in over $5 billion.

This high-profile sale served as a stark reminder of the sector’s potentially overheated valuations, igniting fears of a speculative bubble.

As Bill Fitzpatrick, portfolio manager at Logan Capital Management, sagely observed to CNBC, “These tech companies, they’re cash flow machines. They’re terrific companies, but the starting point does matter, and given where they’re valued today, it doesn’t take much – a little bit of negative news – for the sentiment to turn just a little bit and you get an unwind that is more favorable to value equities.”

His words resonate with a sobering truth: even the most innovative companies are not immune to the gravitational pull of market fundamentals.

Other industry stalwarts like Micron Technology, Oracle, and Palantir Technologies found themselves caught in the downdraft, falling in lockstep with CoreWeave and Nvidia.

Amidst this market volatility, discerning investors, particularly hedge funds, continue to sift through the AI landscape, seeking out opportunities that promise long-term growth despite the current headwinds.

Their rationale is simple yet powerful: a well-researched portfolio, mimicking the top picks of the best hedge funds, has historically demonstrated market-beating returns.

It’s a testament to the enduring belief in AI’s transformative power, even as its market journey proves anything but smooth.

The smart money, however, isn’t simply buying everything with “AI” in its name.

Their selections reveal a nuanced approach, balancing disruptive potential with scrutinised valuations.

Take Meta Platforms, for instance, which still garners significant hedge fund interest.

Despite its strong fundamentals, Erste Group recently downgraded the stock to “Hold,” citing concerns over surging AI capital expenditures and reduced buybacks, which are seen as limiting its upside potential.

The firm anticipates a “significant acceleration” in 2026 spending to fuel Meta’s AI ambitions, translating to higher infrastructure, computing, and cloud costs.

This investment, while crucial for future growth, is expected to weigh on asset turnover and further reduce buybacks, raising questions about immediate valuation.

Oracle, another tech behemoth, also faced a downgrade to “Hold” from Erste Group.

The firm pointed to rising liabilities and a declining return on assets, consequences of Oracle’s aggressive cloud investments.

While its cloud offerings are expanding rapidly, the traditional software business has seen a slight decline, and the heavy investment required is expected to temper free cash flow and operating margin growth in the near future.

Similarly, monday.com, despite delivering mixed 3Q results with P&L upside, saw its price target lowered by Oppenheimer.

The firm flagged “near-term softness and longer sales transitions” due to elongating sales cycles and macro uncertainty, raising concerns that continued bookings softness might “feed the AI bear narrative on horizontal software companies.”

Even Apple, a perennial favorite, is not immune to a cautious outlook.

Jefferies reiterated a “Hold” rating, suggesting that iPhone volume, particularly in China, has likely peaked.

While J.P. Morgan remains bullish on the iPhone 17 series’ strong demand, the broader sentiment reflects a maturing market for its core product, pushing the company to innovate further in AI to sustain growth.

Tesla, too, finds itself in a peculiar position.

While Elon Musk’s staggering near-$1 trillion pay plan was approved, William Blair views the stock as “Market Perform,” deeming it fairly valued.

The ambitious performance targets tied to Musk’s compensation, including an $8 trillion market cap within a decade, underscore the extraordinary expectations placed on the company’s AI-driven autonomous driving and robotics initiatives, even as questions linger about the practicality of such targets.

Yet, optimism still shines brightly on specific AI plays.

Nvidia, despite recent pullbacks, remains a hedge fund darling, with Citi reiterating a “Buy” rating and raising its price target.

The firm’s confidence stems from anticipated “beat and raise” results in the upcoming earnings, driven by stronger-than-expected AI investments and the rapid scaling of its Blackwell units.

Citi’s revised forecast for the 2028 data center semis total addressable market, now 16% higher at $654 billion, highlights the immense underlying growth potential for Nvidia’s core business.

Baidu, the Chinese internet giant, also received a significant vote of confidence, with Deutsche Bank upgrading it to “Buy.”

Analysts believe Baidu is exceptionally well-positioned in AI, boasting leading businesses in cloud computing, robotaxis (Apollo Go), intelligent search, and AI chips.

Its rapid growth in AI Cloud and its global leadership in robotaxi platforms are seen as key drivers for its next phase of expansion.

Hewlett Packard Enterprise (HPE) is another company on Evercore ISI’s “Tactical Outperform List,” with a maintained “Outperform” rating.

Anticipating a robust Jan-quarter guide and synergies from its Juniper acquisition, HPE’s increased focus on AI compute profitability, particularly from enterprise and sovereign customers, is expected to streamline margin expansion.

Newer, more focused AI plays are also gaining traction.

BigBear.ai Holdings, an artificial intelligence specialist, saw Cantor Fitzgerald raise its price target, maintaining an “Overweight” rating.

Despite a revenue decline in 3Q25, largely attributed to federal program disruptions and government shutdown issues, the company exceeded consensus estimates and announced the strategic acquisition of AskSage, an AI platform for secure model deployment in regulated sectors.

Kodiak AI, Inc., focused on autonomous vehicle technology, was initiated with a “Buy” rating by TD Cowen.

The firm sees Kodiak’s unique exposure to global industrial and off-road markets, along with its AV Trucking vertical, as significant differentiators that could scale the company to breakeven and diversify its revenue streams, implying a substantial 81% upside from current levels.

The AI landscape, therefore, presents a fascinating paradox.

While the broader market celebrates stability, the AI sector itself is undergoing a crucial reality check.

The exuberance of recent years is giving way to a more discerning approach, where fundamental strength, clear pathways to profitability, and sustainable valuations are paramount.

For investors, the message is clear: AI remains a powerful, transformative force, but navigating its investment terrain now demands a sharper focus on quality, resilience, and a cautious eye on the price tag.

The future of AI is undoubtedly bright, but the path to capturing its value is proving to be a winding one.