The International Energy Agency’s latest report reveals a technology that is simultaneously getting greener and consuming more power than ever before. The world is not ready.

Key Takeaways

• The Energy Paradox: Despite unprecedented annual improvements in energy efficiency per AI task, the aggregate electricity consumption of data centers—especially those focused on AI—is surging. The International Energy Agency (IEA) projects that global electricity consumption from data centers will roughly double by 2030, with AI-focused data center consumption tripling in that period.
• Infrastructure Bottlenecks: The rapid growth of AI is creating a bottleneck crisis where the physical world cannot keep up with digital ambition. Grid constraints could delay approximately 20% of global data center capacity planned for construction by 2030, and shortages of high-bandwidth memory are anticipated to persist through at least 2027.
• AI as the Solution and Policy Imperative: AI is not just an energy taker but is becoming an “energy maker,” capable of helping energy-intensive industries reduce their energy costs by 3 to 10 percentage points and accelerating scientific discovery for materials and battery chemistries. Policy intervention is crucial, requiring approaches that promote electricity system flexibility and remove barriers to AI adoption in the energy sector.

There is a phrase that has quietly become the IEA’s defining axiom for our era: there is no AI without energy. It sounds simple enough. But the International Energy Agency’s newly published report, Key Questions on Energy and AI, shows just how staggeringly complex and urgent that relationship has become.

The numbers alone are arresting. Global electricity demand from data centres, the critical infrastructure for training and running AI models, grew by 17% in 2025. Electricity consumption from AI-focused data centres grew even faster, surging 50% in that year alone. This is not an incremental change. This is a structural reshaping of how the world consumes power, happening at a pace that grids, regulators, and supply chains were never designed to absorb. IEA

And yet the report’s most counterintuitive finding is not the surge; it is the efficiency miracle happening in parallel. Measured per individual task, the energy efficiency of AI is improving at a rate unprecedented in energy history. Software and hardware advances have resulted in the energy use per AI task dropping by at least an order of magnitude annually in recent years. Simple text queries now typically consume less electricity than running a television over the same period of time. IEA

So AI is simultaneously becoming greener per task and consuming vastly more electricity in aggregate. This is the central paradox policymakers must confront.

At Least a Twofold Increase by 2030

The trajectory the IEA projects should concentrate minds in every energy ministry on the planet. Updated projections see electricity consumption from data centres roughly doubling from 485 TWh in 2025 to 950 TWh in 2030, accounting for around 3% of global electricity demand by that date. Electricity consumption from AI-focused data centres grows much faster than overall data centre electricity consumption, tripling in this period. IEA

To put that in context: a typical AI-focused data centre consumes as much electricity as 100,000 households, and the largest ones under construction today will consume 20 times as much. IEA

Driving this is not just usage growth but investment at an almost incomprehensible scale. The capital expenditure of just five technology companies exceeded USD 400 billion in 2025 and is expected to jump by another 75% in 2026. Capital expenditure of just those five companies is now larger than global investment in oil and natural gas production. Let that sink in: five Silicon Valley firms are now outspending the entire global fossil fuel extraction industry on infrastructure. IEA

This unprecedented surge is colliding with aging and under-invested electric grids. In regions like the United States and Europe, permitting new power plants and transmission lines can take over a decade, far too slow to meet the AI industry’s timeline. This has led to a “gigawatt squeeze,” where projects are delayed, and compute clusters sit idle, waiting for a connection to a grid that cannot deliver. Developers are increasingly exploring “off-grid” solutions, bringing their own power sources like natural gas, microgrids, and even nuclear reactors to site. The challenge is not just absolute capacity; it is the grid’s inability to deliver a “certain type” of flexible power that a one-size-fits-all system cannot easily accommodate.

The Bottleneck Crisis Nobody Is Talking About

Behind the headline investment figures lies a quieter, more troubling story, one of physical limits asserting themselves against digital ambition. The speed of the AI revolution is increasingly contrasting with the speed of the physical, social, and economic systems that underpin it. Bottlenecks across energy supply chains and advanced chip manufacturing have tightened. Planning and regulatory systems are being stretched by the wave of project applications for data centres, amid a broader trend of rapid load growth and electrification. IEA

This is not a hypothetical risk. The IEA’s analysis is stark: grid constraints could delay around 20% of global data centre capacity planned for construction by 2030. One in five planned facilities may simply not connect to the grid on schedule. That is a direct constraint on the AI ambitions of nations and corporations alike.

The chip supply chain is equally fragile. A shortage of high-bandwidth memory, integral to AI chip production, has developed over the past six months and is anticipated to persist through at least the end of 2027.

Supply Chain Fragility and Geopolitical Risks The chip shortage is exacerbated by a fragile and highly concentrated supply chain. ^{Global memory production is dominated by a handful of companies, primarily in Asia, creating a single point of failure. Geopolitical tensions, such as conflict in the Middle East and the potential closure of critical trade routes like the Strait of Hormuz, pose a major risk. A disruption could spike energy costs and sever access to essential raw materials like helium and specialized acids, directly impacting chip factories and prolonging the “chip tightness” potentially until the end of the decade. This has triggered a rush by nations and corporations to secure their own supplies, a form of hardware hoarding that mirrors the wider power grab.}

Meanwhile, the geographic concentration of these projects is compounding local strain. 50% of data centres under development in the United States are in pre-existing large clusters, potentially raising risks of local bottlenecks. IEA

The Critical Minerals Time Bomb

The energy story of AI is inseparable from a geopolitical one. Apart from bulk materials like steel and concrete, the construction of data centres requires sizeable amounts of several minerals and metals, such as copper, aluminium, silicon, gallium, and rare earth elements. There is a significant overlap between the minerals needed for building new data centres and those that are critical to energy technologies. IEA

The supply concentration figures should alarm any strategist. In 2030, data centre demand for gallium could equal up to 10% of today’s supply, and China accounts for 95% of gallium refining. The high market concentration for critical minerals highlights significant vulnerabilities to supply shocks, whether from extreme weather events, industrial accidents, trade disruptions, or geopolitics. IEA

This is not a niche technical concern. It is the next front in the global competition for technological sovereignty.

AI Is Also the Solution

It would be a journalistic failure to leave this story as pure alarm. The IEA is equally insistent on the other side of the ledger, that AI, if deployed at scale in the energy sector, could help solve precisely the problems its infrastructure is creating.

Proven applications of AI could help firms in energy-intensive industries reduce their energy costs by 3 to 10 percentage points. For energy-hungry manufacturers, that is a transformative margin. In scientific discovery, AI led to a 45,000-fold acceleration in the mapping of protein structures – critical for designing new drugs – and could allow scientists to dramatically accelerate the process of finding and testing promising materials, battery chemistries, and carbon capture molecules. IEAIEA

The tech sector is also beginning to respond to the clean energy challenge it helped create. The tech sector accounted for around 40% of all corporate power purchase agreements for renewables signed in 2025, and is also now a major source of momentum for the nuclear and advanced geothermal industries. The pipeline of conditional offtake agreements between data centre operators and small modular reactor nuclear projects has grown from 25 gigawatts at the end of 2024 to 45 gigawatts today. IEA

As IEA Executive Director Fatih Birol has put it, AI is still an energy taker, but it is also becoming an energy maker – driving forward innovative solutions like next-generation nuclear reactors, flexible data centres, and long-duration energy storage. IEA

The Affordability Question

There is one dimension the IEA raises that deserves far greater public attention than it typically receives: what does all this mean for ordinary electricity bills?

The report finds that if the right mix of policies and infrastructure investment is in place, increases in electricity demand do not necessarily raise prices. However, data centres can create special challenges for electricity affordability, since they have large, concentrated power loads and scale up rapidly, often triggering the need for new generation assets and grid investment. IEA

The political economy here is delicate. Communities are already pushing back. Social acceptability is a growing issue, as communities push back against data centre projects, and concerns about affordability and environmental impacts rise. Policymakers cannot afford to dismiss these concerns as technophobia. They reflect legitimate questions about who bears the cost of infrastructure built to serve a global tech industry. IEA

The Policy Imperative

The IEA’s prescriptions are clear and, frankly, not yet being followed with sufficient urgency. Approaches that promote electricity system flexibility can help accelerate grid connections and ensure electricity affordability. System operators can explore non-firm grid connections and incentivise data centre developers to provide demand response in return for faster connection processes. IEA

On the industrial side, removing barriers to AI adoption in the energy sector can ensure AI is leveraged to enhance energy security and sustainability, with comprehensive policy frameworks that address data availability, cybersecurity, skills, and interoperability, crucial for boosting AI uptake. IEA

And for the developing world – the part of this story most often absent from Western coverage, the stakes are existential in a different way. Emerging and developing economies other than China account for 50% of the world’s internet users but less than 10% of global data centre capacity. Countries with a record of reliable and affordable power will be best placed to unlock data centre growth, localise computing power critical to homegrown AI development, and spur the IT industry more generally. IEA

The AI revolution, in other words, risks deepening the very digital divide it promises to transcend – unless policymakers in both rich and developing nations act with deliberate urgency.

The IEA’s Key Questions on Energy and AI is a landmark document precisely because it refuses false comfort. It does not tell us that efficiency gains will automatically solve the demand problem, nor that the investment surge is inherently catastrophic. What it tells us is that the outcome depends entirely on the choices made now – on grids, on supply chains, on regulation, and on whether the energy sector embraces AI as a tool rather than merely tolerating it as a load.

The technology is moving faster than the physical world it depends on. That gap is the defining energy challenge of this decade.

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Vijay has done what few thought possible just a year ago, which is to break Tamil Nadu’s decades-old DMK-AIADMK political grip and emerge as a serious power centre in one of India’s most industrialised states. With Tamilaga Vettri Kazhagam, or TVK, leading in over 100 seats in counting trends, investors may now ask what a “Thalapathy government” mean for business, industry and the stock market?

Tamil Nadu may not move the benchmark indices overnight the way national elections do, but it remains one of India’s most important manufacturing and export engines. The state contributes roughly 8-9% of India’s GDP, is a major auto and electronics hub, and hosts global manufacturers across automobiles, semiconductors, defence, textiles and renewable energy.

Santosh Meena, Head of Research at Swastika Investmart, said the initial reaction from markets is likely to be measured rather than emotional.

“TVK’s strong showing is expected to generate mixed but cautious business sentiment. Vijay’s emphasis on welfare, social justice and anti-corruption may create short-term concerns around fiscal spending and regulatory oversight,” Meena said.

“But his clean image, youth connect, and promises around jobs, MSMEs, startups, and economic growth could improve governance perception if executed pragmatically.”

Why Tamil Nadu matters

Tamil Nadu is home to manufacturing clusters that support companies such as Hyundai Motor Company, Ford Motor Company, Foxconn, Tata Electronics and Ashok Leyland. The state is also central to India’s electronics export push, EV manufacturing plans and semiconductor ambitions.
Any policy shift in industrial incentives, labour reforms, land acquisition, power tariffs or logistics approvals can directly impact corporate capex decisions.
That is why investors are closely watching whether Vijay’s campaign rhetoric translates into continuity or disruption.
Madhavi Arora, Chief Economist at Emkay Global Financial Services, said Vijay’s rise marks a structural political shift rather than a simple electoral upset.

“A possible win by Vijay would mean a wholly new era of disruptive politics in Tamil Nadu, led by a system-level shift in a state long dominated by the Dravidian duopoly,” Arora said.

She added that Vijay represents “a digital-era, youth-driven mobilisation model,” though his ideology appears “heavily tilted toward welfare populism combined with development policies.” That combination may create near-term uncertainty over fiscal priorities.

Tamil Nadu already carries one of the highest debt burdens among large Indian states, and any aggressive expansion of welfare spending could raise concerns about fiscal discipline.

At the same time, analysts say Tamil Nadu’s industrial ecosystem is far stronger than many other politically volatile states, which could cushion investor concerns.

“In key hubs like Chennai, investor confidence is likely to remain resilient because Tamil Nadu already has strong industrial fundamentals, skilled manpower and infrastructure. Markets will now watch for early policy clarity on ease of doing business and industrial incentives,” he said.

Which sectors could react?

If policy continuity emerges, sectors linked to Tamil Nadu that could remain in focus include auto and auto ancillaries, electronics manufacturing, industrial parks and logistics, renewable energy and grid infrastructure.

Also read: Election impact on stock market explained: What likely BJP win in West Bengal means for investors

Companies with significant Tamil Nadu exposure, including TVS Motor Company, Ashok Leyland, Tube Investments of India, Titan Company and Tata Power Company, may see sentiment-driven moves if policy signals emerge in the coming weeks.

For now, analysts say the market is unlikely to panic.

(Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of the Economic Times)

Budget airlines are seeking help from the federal government amid the surge in jet fuel prices that prompted Spirit Airlines to cease operations after its bankruptcy exit plan faltered and a possible federal aid package failed to materialize.

Spirit on Saturday announced “with great disappointment” that it started an orderly wind-down of its operations, adding that it was “proud of the impact of our ultra-low-cost model on the industry over the last 34 years,” and that it had hoped to continue to do so.

Prior to Spirit’s announcement, President Donald Trump indicated his administration was negotiating a bailout of up to $500 million for Spirit that would’ve given the federal government warrants equal to about 90% of Spirit’s equity, according to a Wall Street Journal report. However, the parties were unable to reach a deal and Spirit had to halt operations.

Last week, the Journal first reported that a group of budget airlines were also pursuing $2.5 billion in federal assistance through stock warrants that could be converted into equity stakes, the Association of Value of Airlines (AVA) said in a statement. The group represents Frontier Airlines, Allegiant Air, Sun Country and Avelo, while it also represented Spirit prior to the airline halting operations.

SPIRIT AIRLINES TO CEASE OPERATIONS AFTER FEDERAL GOVERNMENT BAILOUT FAILS TO MATERIALIZE

Some of the Journal’s sources told the outlet that the group’s $2.5 billion figure was derived from an estimate of how much the airlines expect to spend on jet fuel this year compared with earlier forecasts, with the estimate assuming jet fuel prices will remain above $4 a gallon on average for the rest of the year.

The AVA issued a statement on Saturday following Spirit’s announcement that it was winding down its operations, saying that displaced travelers may find discounted fares offered by its members and other promotions aimed at helping those in need of alternative travel plans. 

It also said that low-cost carriers help support the broader air travel ecosystem by keeping prices in check for consumers.

BUDGET AIRLINES ASK FEDERAL GOVERNMENT FOR $2.5B IN AID TIED TO RISING JET FUEL COSTS

“Value airlines are the lynchpin that commands fare discipline across the entire airline industry with sustained competition that expands options for consumers. Make no mistake: if there are fewer value airlines, flying will become less affordable for Americans,” AVA said. 

“What happened to Spirit Airlines is a clear warning sign of what can occur when policy choices and regulatory dynamics tilt the competitive landscape toward the largest incumbent carriers.” 

“It underscores the need for continued collaboration among all stakeholders to ensure a balanced, competitive environment that supports the long-term viability of value airlines,” the group added.

SPIRIT AIRLINES SHUTS DOWN IMMEDIATELY, STRANDING TRAVELERS: HERE’S HOW TO GET YOUR MONEY BACK

AVA took issue with a statement by Airlines for America, a trade group representing larger carriers. 

Airlines for America’s statement from Saturday after Spirit halted operations criticized the low-cost carriers seeking government assistance because of “their inability to deal with high fuel prices” and saying it would “punish other airlines that have engaged in self-help in order to deal with increased costs and reward airlines who haven’t made those tough decisions.”

AVA said that some of those “self-help” measures would reduce options and raise costs for the traveling public, adding that budget carriers aren’t at fault for the situation.

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“The current surge in jet fuel prices is not the result of poor decision-making or a lack of discipline by value airlines,” AVA said. “It is an uncontrollable, extraordinary external shock that disproportionately impacts business models built on offering consistently affordable fare to price sensitive travelers.”

Tata Technologies on Monday reported a consolidated net profit of Rs 204 crore for the March quarter compared to Rs 189 crore in the year-ago period, an 8% year-on-year jump. The profit is attributable to the shareholders of the company.

The company’s revenue from operations in Q4FY26 stood at Rs 1,572 crore, up 22% from Rs 1,286 crore in the corresponding quarter of the previous financial year.

The company’s board also recommended a final dividend of Rs 8.35 and a one-time special dividend of Rs 3.35, aggregating to Rs 11.70 per equity share for the financial year ended March 31, 2026, subject to tax. The dividend, if approved at the Annual General Meeting (AGM) will be paid within 30 days from the conclusion of the AGM, the company filing said.

Company’s total operating revenue stood at Rs 1,572 crore, up 15% QoQ, while the services segment revenue stood at Rs 1,220 crore, up 15% QoQ. In USD terms, services segment revenues came in at $132.6 million, up 11.9% QoQ in cc.

The operating Earnings Before Interest, Taxes, Depreciation and Amortisation (EBITDA) was Rs 252 crore, up 31% QoQ while the EBITDA margin was reported at 16% versus 14.1% QoQ.

Adjusted net income stood at Rs 163 crore, up 20% QoQ, while the net income margin was at 10.3%, up 45 bps QoQ.
The company’s profit after tax (PAT) surged 2,975% sequentially from Rs 6.64 crore reported in Q3FY25 while the topline increased 15% from Rs 1,366 crore in the year-ago period.

Management commentary

Company’s Chief Executive Officer & Managing Director Warren Harris said he was pleased that the momentum built in Q3 carried through to Q4, delivering 12% revenue growth in cc and a 190 bps margin expansion. “This marks a clear inflection for the business, with growth broad‑based rather than concentrated in any single customer or program. Strong execution against guidance, improving order book visibility, and rising wins in full‑vehicle programs – which serve as a strategic wedge to deepen lifecycle engagement and enable systematic expansion across adjacent services – reinforce our confidence in FY27, where we continue to expect double‑digit organic growth with sustainable margin expansion,” Harris said.
(Disclaimer: The recommendations, suggestions, views, and opinions given by the experts are their own. These do not represent the views of The Economic Times.)

Fairfax-backed CSB Bank reported a 6% year-on-year rise in fourth quarter net profit at Rs 202 crore as compared with Rs 190 crore in the year ago period, helped by lower provisions.

Pre-provision operating profit for the quarter was 7% lower at Rs 294 crore as against Rs 317 crore earlier, on account of 9% higher operational expenditure and 20% fall in other income. Provision stood 62% lower at Rs 23 crore.

The bank’s quarterly net interest margin improved to 3.83% from 3.75% a year ago.

For the full FY26, the bank’s net profit stood at Rs 633 crore, registering a 7% rise over Rs 594 crore in FY25. The full year operating profit rose 19% at Rs 1085 crore, backed by healthy business expansion.

Its net advances grew 26% year-on-year to Rs 39,848 crore at the end of March, supported by a 53% jump in gold loans and 37% rise in wholesale lending.

Its asset quality improved sequentially but deteriorated year-on-year. The gross non-performing assets ratio stood at 1.66% at the end of FY26 as compared with 1.96% three months prior and 1.57% a year back. Net NPA was at 0.40% as against 0.67% three months back and 0.52% last year.
Total deposits grew by 20% to Rs 44,246 crore with the current and savings account ratio being at 20% at the end of the last fiscal.

Mannapuram Finance Q4 profit dips 9%

Gold loan company Manappuram Finance reported a 9.6% dip in its standalone net profit at Rs 497 crore in the fourth quarter of FY26, as compared with Rs 550 crore in the year ago period, due to rise in finance cost as well as provisions against bad loans.

Its finance cost for the quarter stood higher at 932 crore against Rs 610 crore earlier while provisions were at Rs 216 crore against Rs 79 crore.

The group’s consolidated net profit stood at Rs 405 crore for the quarter under review as compared with a net loss of Rs 203 crore in the year ago period.

Manappuram board proposed a dividend of Rs 0.50 per equity share of Rs 2 face value each, making it a 25% dividend.

Tata Chemicals on Monday reported a consolidated net loss of Rs 2,132 crore for the March quarter compared to Rs 156 crore in the year-ago period. The loss is attributable to the shareholders of the company. The company’s revenue from operations in Q4FY26 stood at Rs 3,438 crore, down 2% from Rs 3,509 crore in the corresponding quarter of the previous financial year.

The company reported an exceptional charge of Rs 1,837 crore is provided on account of impairment of goodwill in US & Rs 159 crore of deferred tax assets write off.

Profit after tax before exceptional items and NCI stood at Rs 279 crore compared to a loss of Rs 12 crore for Q4FY25, the company filing to the exchanges said.

The loss widened on a sequential basis too, as the company reported a net loss of Rs 93 crore in Q3FY25. The topline was down 3% on a quarter-on-quarter basis versus Rs 3,550 crore reported in the October-December quarter of FY26.

The company’s board also recommended a dividend of Rs 11 per share for the financial year 2025-26. The dividend, if approved by the members at the upcoming 87th Annual General Meeting (AGM), will be paid within five days of the AGM, the company filing said.

The company’s expenses in the quarter under review stood at Rs 3,660 crore versus Rs 3,644 crore in Q3FY26 and Rs 3,612 crore in Q4FY25. The expenses were made on heads like ‘Cost of materials consumed’, ’employee benefits expense’, finance cost and power and fuel.
The company reported a negative cash flow of Rs 1,459 crore as on March 31, 2026 ended period compared to Rs 568 crore as of March 31, 2025. The CFO was adjusted for depreciation and amortisation expenses, fianance cost and dividend income, among other things.The net profit margin in the reported quarter stood at -61.55% versus -1.94% in Q3FY25 and 1.91% in Q4FY25.

The company’s Earnings Before Interest, Taxes, Depreciation and Amortisation (EBITDA) stood at Rs 274 crore as compared to Rs 327 crore in Q4FY25, mainly on account of subdued pricing across all geographies and increase in fixed cost (also due to steep depreciation of Indian Rupee) as compared to Q4FY25.

Net debt (without leases) as on March 31, 2026, stood at Rs 5,961 crore.

Management commentary

R. Mukundan, Managing Director & CEO of Tata Chemicals said the global soda ash market remained oversupplied in Q4FY26, keeping prices under pressure amid geopolitical uncertainties in the Middle East. While standalone performance was supported by higher volumes and cost discipline, consolidated results were hit by weak pricing across regions, particularly in Southeast Asia, along with impairment charges in the US business.

He added that the company continues to focus on long-term growth initiatives, including the acquisition of Novabay Pte. Ltd. to expand its specialty chemicals portfolio and a Rs 100 crore investment to enhance salt capacity at Mithapur. Despite the challenging environment, Tata Chemicals remains focused on protecting margins, conserving cash flows, and maintaining a strong balance sheet to navigate the current cycle and drive sustainable value creation.

(Disclaimer: The recommendations, suggestions, views, and opinions given by the experts are their own. These do not represent the views of The Economic Times.)

NEW YORK — Oracle Corporation (NYSE: ORCL) stock draws a resounding “Buy” recommendation from Wall Street in May 2026, with consensus ratings of Moderate Buy to Strong Buy and average 12-month price targets implying 30-50% upside from current levels near $175–$183. Despite volatility from heavy AI infrastructure spending and a year-to-date pullback, the database and cloud giant’s explosive remaining performance obligations (RPO), cloud revenue growth and strategic positioning in artificial intelligence infrastructure position it as a favored long-term holding for many investors.

As of early May 2026, Oracle shares trade around $175–$182 after recovering modestly from earlier 2026 lows. The stock has faced pressure amid broader tech sector rotations and concerns over elevated capital expenditures, yet analysts overwhelmingly see current valuations as attractive given Oracle’s fundamentals and AI tailwinds.

Strong Analyst Consensus

Across 35–55 covering analysts, Oracle earns predominantly Buy or Strong Buy ratings, with very few Holds and minimal Sells. Average 12-month price targets range from $220 to $260, with highs reaching $400 and lows near $155–$160. This suggests substantial potential upside, with some models projecting even higher returns if cloud and AI momentum accelerates.

Firms like Guggenheim, Bank of America and others maintain bullish stances, citing Oracle’s massive RPO backlog — which surged over 300% year-over-year in recent quarters — as evidence of sustained demand for its cloud offerings.

Fiscal 2026 Performance and Earnings Highlights

Oracle has delivered solid results through its fiscal year. In Q3 FY2026 (reported March 2026), the company posted revenue of about $17.19 billion (up ~22% YoY) and beat EPS estimates. Remaining Performance Obligations reached $553 billion, up 325% year-over-year, signaling strong future revenue visibility driven by cloud infrastructure and AI-related deals.

Earlier quarters showed cloud revenue growth exceeding 25–28%, fueled by demand for Oracle Cloud Infrastructure (OCI) used in large-scale AI training and deployment. However, higher capex for data centers has weighed on near-term margins and free cash flow, contributing to stock volatility.

Bull Case: AI and Cloud Leadership

Supporters highlight Oracle’s transformation into a major cloud player. Its focus on high-performance computing for AI, strategic partnerships and ability to win large enterprise contracts differentiate it from competitors. Analysts project continued double-digit revenue growth, with some bull scenarios seeing the stock reaching $300–$344 within 12–18 months if RPO converts efficiently.

Valuation remains reasonable relative to growth prospects, with forward multiples that many view as discounted compared to pure-play cloud peers. Dividend growth and share repurchases add to shareholder returns.

Risks and Bear Concerns

Critics point to execution risks around heavy AI spending, rising debt levels and potential delays in monetizing infrastructure investments. A tougher macroeconomic environment or slower AI adoption could pressure results. Some analysts trimmed targets after recent quarters, citing margin compression.

Short-term volatility remains a factor, with the stock sensitive to quarterly guidance and broader tech sentiment. A deeper market correction could test lower support levels.

Investment Considerations for 2026

For growth-oriented investors, Oracle offers exposure to enterprise software stability plus high-growth cloud and AI opportunities. Long-term holders may benefit from dollar-cost averaging during dips. Those concerned about capex timing might prefer a more cautious allocation or wait for clearer cash flow inflection.

Financial advisors often recommend tech holdings like Oracle as part of diversified portfolios, especially for those seeking AI adjacency without pure-play startup risk. Position sizing should reflect individual risk tolerance given sector volatility.

Broader Market Context

Oracle’s story mirrors other Big Tech names balancing massive AI investments with profitability. Its hybrid cloud-database strengths provide a moat in enterprise markets where data sovereignty and performance matter. As AI infrastructure demand grows, Oracle is well-placed to capture share.

Upcoming earnings, macroeconomic data and AI spending trends will influence sentiment through the rest of 2026. Analysts will closely watch cloud bookings, margin trends and progress on capital efficiency.

Conclusion: Favored as a Buy for Most Investors

The overwhelming Wall Street consensus tilts strongly toward buying Oracle stock in 2026. Structural growth drivers in cloud and AI, combined with a solid backlog and reasonable valuation, outweigh near-term spending concerns for most analysts. While risks around execution and macro conditions exist, current levels appear attractive for those with a medium-to-long-term horizon.

Investors should perform their own research, consider diversification and consult professionals. Oracle is not without volatility, but the balance of evidence supports its role as a core tech holding with meaningful upside potential as AI infrastructure spending translates into sustained revenue and profits.

This article was written by

Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, but may initiate a beneficial Long position through a purchase of the stock, or the purchase of call options or similar derivatives in AXS.PR.E over the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

Seeking Alpha’s Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.

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