Oracle Stock Faces a Credibility Test After Execs Leave as AI Spending Strains Cash Flow and Valuation

Oracle shares have stabilised after a sharp valuation reset, but rising AI infrastructure costs, deteriorating cash flow, and governance...

Oracle at a Crossroads: AI Scale, Capital Discipline, and the Path Forward

Quick overview

  • Oracle shares have stabilized after a significant valuation reset, but rising AI infrastructure costs and governance changes leave the stock vulnerable to further declines.
  • The company's aggressive push into AI has raised concerns about cash flow and balance-sheet pressure, leading to a broader reassessment of AI infrastructure spending across the market.
  • Despite a massive backlog of performance obligations, Oracle's negative free cash flow and increasing debt levels have intensified investor skepticism regarding its financial discipline.
  • Recent governance changes and technical signals indicate ongoing fragility, with the market demanding proof of sustainable returns before rewarding Oracle's ambitious AI initiatives.

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Oracle shares have stabilised after a sharp valuation reset, but rising AI infrastructure costs, deteriorating cash flow, and governance changes leave the stock vulnerable to renewed downside if key support levels fail.

A Fragile Pause After a Violent Repricing

Oracle enters the new year in a markedly weaker position after undergoing one of the most abrupt valuation resets among large-cap technology stocks. While shares have stopped falling for now, the stabilisation looks tentative rather than convincing. Investors appear less willing to buy into optimistic narratives and more focused on the growing financial strain created by Oracle’s aggressive push into artificial intelligence infrastructure.

The market is now grappling with a difficult reassessment: whether Oracle’s AI ambitions justify the mounting costs and balance-sheet pressure, or whether the recent decline merely marks an intermediate stop before further downside.

Governance Changes Add Another Layer of Uncertainty

Adding to the uneasy backdrop, Oracle disclosed a governance update via a Form 8-K filing. Long-serving directors George H. Conrades and Naomi O. Seligman stepped down immediately after 18 and 20 years on the board, respectively.

While the company emphasised that neither departure resulted from disagreement or internal conflict, the timing has not gone unnoticed. Leadership transitions during periods of financial stress often unsettle investors, particularly when visibility around strategy execution is already limited. Whether the changes ultimately prove constructive or destabilising remains an open question, but in the near term they add another variable to an already fragile narrative.

AI Cost Anxiety Spreads Beyond Oracle

Oracle’s earnings release did more than hurt its own stock—it reignited broader concerns across U.S. equity markets. Technology-heavy indices, particularly the Nasdaq, came under renewed pressure as investors reassessed whether the AI infrastructure buildout is advancing faster than corporate balance sheets can reasonably absorb.

What was once celebrated as a once-in-a-generation growth opportunity is now being scrutinised for its capital intensity, long payback periods, and uncertain margins. Oracle’s sharp selloff became emblematic of this shift, highlighting how quickly sentiment can reverse when optimism collides with financial reality.

From Near-Trillion-Dollar Valuation to Abrupt Reset

Just months ago, Oracle appeared on the cusp of joining the most exclusive tier of mega-cap technology companies. In early September, shares surged past $345, lifting the company’s market capitalisation close to $940 billion and fuelling comparisons with Nvidia, Amazon, and Alphabet.

That enthusiasm has evaporated. Oracle’s market value has since fallen to roughly $550 billion, erasing hundreds of billions in shareholder value. The magnitude of the decline reflects more than disappointment with quarterly results—it signals a wholesale re-evaluation of how AI exposure should be priced.

Markets are no longer willing to capitalise distant growth at premium multiples without clear evidence of near-term returns.

Debt Concerns Intensify the Pressure

Balance-sheet risk has become a central concern. Morgan Stanley has warned that Oracle could issue as much as $70 billion in additional debt by 2026 to finance its cloud and AI expansion.

While management argues that such spending is necessary to remain competitive, investors are increasingly uncomfortable with the pace at which leverage is rising—particularly in an environment where interest rates remain elevated by historical standards. The concern is not whether AI demand exists, but whether cash flows will arrive quickly enough to justify the borrowing required to meet it.

A Surprise TikTok Catalyst Offers Temporary Relief

After weeks of sustained selling, Oracle finally received a stabilising catalyst. Reports that the company would participate in a consortium acquiring TikTok’s U.S. operations helped arrest the slide near technical support.

Under the proposed deal, Oracle would partner with Silver Lake and Abu Dhabi–based MGX in a joint venture valued at around $14 billion. Oracle’s role would centre on U.S. data security, hosting, and algorithm oversight—functions aligned with its infrastructure strengths.

However, the deal remains subject to regulatory approval from China, and investors appear cautious about extrapolating too much upside from an arrangement that is far from guaranteed. For now, it has paused the decline rather than reversed it.

Earnings Fallout Deepens Tech Sector Unease

Oracle’s earnings reverberated across the technology sector, reinforcing concerns that AI infrastructure spending may be outrunning profitability. Shares weakened further after reports emerged that funding for a major U.S. data centre project had stalled, underscoring how even well-capitalised companies are encountering resistance from financiers.

This hesitation suggests that capital markets are becoming more selective, demanding clearer pathways to returns before committing further funding to large-scale AI projects.

A Massive Backlog, but Execution Risk Dominates

Oracle’s $523 billion in remaining performance obligations (RPOs) stands at the centre of its long-term equity story. The backlog surged more than 430% year-on-year following the signing of multi-year contracts with major AI clients, including Meta and Nvidia.

In theory, this pipeline offers enormous revenue visibility. In practice, markets are discounting it heavily, reflecting scepticism around execution, funding, and margin sustainability. A backlog of this magnitude locks Oracle into the infrastructure spine of the AI buildout—but it also commits the company to years of capital-intensive investment before returns fully materialise.

Data Centres, Power Constraints, and Capital Intensity

Oracle is expanding at a scale more typical of industrial firms than software companies. The company operates 147 cloud regions, with 64 more under construction, and recently delivered around 400 megawatts of new data-centre capacity in a single quarter.

While projects like the Stargate AI buildout aim to address power constraints, they also highlight the growing complexity and cost of Oracle’s strategy. Each step forward increases exposure to execution risk, regulatory hurdles, and energy availability—factors largely outside the company’s control.

Strong Revenue Growth, Weak Cash Generation

Operationally, Oracle’s results were not disastrous. Revenue rose 14% year-on-year to $16.05 billion, and net income nearly doubled to $6.1 billion. Cloud services and applications revenue surged 34%, confirming robust demand.

Yet these figures were overshadowed by a troubling metric: free cash flow. Negative free cash flow widened to more than $13 billion, intensifying concerns over how Oracle intends to fund its expansion without further leveraging its balance sheet.

For many investors, cash flow—not revenue growth—has become the decisive factor.

From AI Favourite to Market Skepticism

Earlier in the year, Oracle was embraced as a core AI beneficiary. That narrative has since unravelled. Each rebound since late September has been weaker than the last, reflecting a market unwilling to reward ambition without evidence of financial discipline.

AI headlines alone are no longer enough to lift the stock. Investors are demanding proof that spending can translate into sustainable returns rather than prolonged cash burn.

Technical Signals Point to Ongoing Fragility

From a technical perspective, Oracle’s chart reflects the deterioration in sentiment. While the 20-period moving average continues to offer temporary support, the broader structure remains fragile.

ORCL Chart Monthly – Can the 20 SMA Hold Again?Chart ORCL, MN1, 2026.01.11 22:46 UTC, MetaQuotes Ltd., MetaTrader 5, Demo

A decisive break lower would refocus attention on deeper support zones near $150, with further downside risk toward the April lows around $118 if selling pressure accelerates. Failure to reclaim key resistance levels has reinforced bearish momentum, creating a self-reinforcing cycle of negative headlines and technical weakness.

Conclusion: A Test of Confidence Lies Ahead

Oracle’s valuation reset has forced a difficult reckoning. The company remains strategically relevant in AI infrastructure, but the market is no longer prepared to overlook rising debt, negative cash flow, and execution risk.

Unless Oracle can demonstrate tangible progress on profitability and capital discipline, the recent stabilisation may prove temporary. In a market that has grown far more sceptical of AI promises, the burden of proof has shifted decisively back to management.

ABOUT THE AUTHOR See More
Skerdian Meta
Lead Analyst
Skerdian Meta Lead Analyst. Skerdian is a professional Forex trader and a market analyst. He has been actively engaged in market analysis for the past 11 years. Before becoming our head analyst, Skerdian served as a trader and market analyst in Saxo Bank's local branch, Aksioner. Skerdian specialized in experimenting with developing models and hands-on trading. Skerdian has a masters degree in finance and investment.

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