AI Stocks Face Challenges and Opportunities Amid Market Correction
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 4 hours ago
0mins
Should l Buy ORCL?
Source: Fool
- Market Correction Impact: The overall market has faced challenges in recent weeks, with AI stocks like Microsoft and Oracle seeing declines of over 20% and 50%, respectively, indicating a reevaluation of AI technology's value and leading to a repricing of related companies.
- Disillusionment Cycle Analysis: According to Gartner's Hype Cycle, AI is currently in the 'trough of disillusionment,' where, despite future potential, the current reality has not met initial high expectations, causing many companies to struggle.
- Investment Opportunity Identification: Despite short-term challenges, investors should view this as a long-term buying opportunity, particularly as Oracle anticipates its AI infrastructure revenue to grow from $18 billion this year to $144 billion by 2030, showcasing strong growth potential.
- Market Leader Outlook: Google's cloud computing division is excelling in the AI space; while AI is not its largest business, the rapidly growing cloud segment is expected to benefit from the upcoming 'slope of enlightenment,' providing new growth momentum for the company.
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Analyst Views on ORCL
Wall Street analysts forecast ORCL stock price to rise
34 Analyst Rating
25 Buy
9 Hold
0 Sell
Moderate Buy
Current: 155.520
Low
180.00
Averages
309.59
High
400.00
Current: 155.520
Low
180.00
Averages
309.59
High
400.00
About ORCL
Oracle Corporation offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. The Company operates through three businesses: cloud and license, hardware and service. Its cloud and license business is engaged in the sale, marketing and delivery of its enterprise applications and infrastructure technologies through cloud and on-premise deployment models including its cloud services and license support offerings, and its cloud license and on-premise license offerings. Its hardware business provides infrastructure technologies including Oracle Engineered Systems, servers, storage, industry-specific hardware, operating systems, virtualization, management and other hardware-related software to support diverse IT environments. Its services business provides services to customers and partners to help maximize the performance of their investments in Oracle applications and infrastructure technologies.
About the author

Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
- Strong Earnings Report: Oracle's fiscal Q3 2026 revenue surged 22% year-over-year to $17.2 billion, exceeding Wall Street's estimate of $16.9 billion, indicating robust performance in the AI sector that is expected to drive future growth.
- Cloud Infrastructure Growth: The cloud infrastructure segment saw an impressive 84% year-over-year revenue increase to $4.9 billion, significantly surpassing market expectations, highlighting Oracle's competitive edge in the AI workload market and its substantial future growth potential.
- Significant Contract Growth: Remaining performance obligations (RPO) skyrocketed 325% year-over-year to $553 billion, reflecting a strong future revenue pipeline as more companies opt to run AI workloads on Oracle's cloud platform.
- Increased Capital Expenditure: Despite a 269% rise in capital expenditures to $8.5 billion, Oracle anticipates a 24% increase in earnings this fiscal year to $7.45 per share, demonstrating that its investments in AI data centers are set to lay a solid foundation for long-term growth.
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- Market Revaluation: Recently, AI stocks have faced a revaluation, with Microsoft shares down over 20% from last year's peak and Oracle's shares halved due to concerns over AI infrastructure spending, reflecting skepticism about the technology's value.
- Investor Psychological Cycle: AI is currently in the 'trough of disillusionment' phase, and while performance is poor in the short term, history shows this stage often precedes a recovery, suggesting investors should view this as a long-term buying opportunity.
- Oracle's Growth Potential: Oracle expects its AI infrastructure revenue to grow from $18 billion this year to $144 billion by 2030, nearly three times its total revenue from the last fiscal year, indicating significant potential in its shift to the AI market.
- Google Cloud's Competitive Edge: Google's cloud computing segment is its fastest-growing business, and while AI accounts for only 15% of its revenue, its enterprise-focused capabilities are rapidly increasing market share, indicating strong future growth potential.
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- Market Correction Impact: The overall market has faced challenges in recent weeks, with AI stocks like Microsoft and Oracle seeing declines of over 20% and 50%, respectively, indicating a reevaluation of AI technology's value and leading to a repricing of related companies.
- Disillusionment Cycle Analysis: According to Gartner's Hype Cycle, AI is currently in the 'trough of disillusionment,' where, despite future potential, the current reality has not met initial high expectations, causing many companies to struggle.
- Investment Opportunity Identification: Despite short-term challenges, investors should view this as a long-term buying opportunity, particularly as Oracle anticipates its AI infrastructure revenue to grow from $18 billion this year to $144 billion by 2030, showcasing strong growth potential.
- Market Leader Outlook: Google's cloud computing division is excelling in the AI space; while AI is not its largest business, the rapidly growing cloud segment is expected to benefit from the upcoming 'slope of enlightenment,' providing new growth momentum for the company.
See More
- Market Reaction: The overall market has struggled in recent weeks, particularly AI stocks like Microsoft, which has seen a more than 20% drop from last year's peak, indicating investor concerns about the costs and value of AI.
- Investor Sentiment: According to Gartner's technology market research, AI is currently in the 'trough of disillusionment,' where the anticipated returns on investment have not materialized, leading to challenges for many related companies.
- Oracle's Outlook: Oracle expects its AI infrastructure revenue to surge from $18 billion in 2023 to $144 billion by 2030, nearly tripling its total revenue from the last fiscal year, highlighting its potential in the AI market transition.
- Alphabet's Opportunity: While Alphabet's cloud computing segment accounted for only 15% of last year's revenue, its AI business is rapidly growing, particularly among enterprise customers, suggesting a strong position in the upcoming 'slope of enlightenment.'
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- Data Center Challenges: OpenAI CEO Sam Altman highlighted significant operational challenges during the BlackRock Infrastructure Summit, particularly citing severe weather in Abilene, Texas, which temporarily disrupted operations at their flagship facility, impacting operational efficiency and market confidence.
- Strategic Shift: OpenAI is recalibrating its growth strategy, aiming to reduce previous high spending levels to a more sustainable pace, with total compute spending projected to reach $600 billion by 2030, thereby enhancing investor confidence and addressing market expectations for fiscal responsibility.
- Reliance on Partners: Facing practical difficulties in building data centers, OpenAI has opted to rely on partners like Oracle, Microsoft, and Amazon for computing capacity; while this strategy alleviates immediate pressure, it may affect long-term market competitiveness.
- Investment and Financing: OpenAI secured $110 billion in its recent funding round, including $50 billion from Amazon, enabling substantial investments in computing capacity, yet raising concerns in the market regarding its path to profitability amidst such high expenditure commitments.
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- Infrastructure Deals: OpenAI CEO Sam Altman has inked multibillion-dollar infrastructure agreements with Nvidia, AMD, and Broadcom to secure compute capacity for 2025, aiming to meet increasing market demands and prepare for a potential IPO.
- Market Reaction: Despite being valued at $730 billion in recent fundraising, OpenAI's hefty spending plans have raised investor concerns about an AI bubble, prompting the company to adjust its strategy to demonstrate greater fiscal responsibility.
- Compute Capacity Challenges: Altman highlighted that a shortage of computational resources is a major bottleneck for OpenAI, with total compute spending expected to reach $600 billion by 2030, a target designed to align directly with anticipated revenue growth.
- Reliance on Partners: OpenAI currently does not own any data centers and relies on partners like Oracle, Microsoft, and Amazon for compute capacity, reflecting a pragmatic shift in strategy as the company faces construction challenges.
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