Articles Tagged: oracle

6 articles found

Palantir After Q3: Can a Government Shutdown and Commercial AI Momentum Re‑Write the Growth Narrative?

Palantir’s latest quarter delivered what the market said it wanted—an upside revenue print and stronger‑than‑expected guidance—yet the stock slumped into the close and helped ignite a broader AI risk reset. In a week that saw more than $820 billion erased from AI leaders’ market caps, the divergence between solid company execution and a skittish macro tape came into sharp focus. Two forces now frame the stock’s near‑term path: a prolonged U.S. government shutdown that temporarily starved markets of official economic data and dulled sentiment, and a still‑robust wave of commercial AI spending that keeps reshaping enterprise software priorities. Investors are weighing whether a potential shutdown resolution can revive federal buying cycles just as Palantir’s commercial AI engine gains speed—or whether AI multiple compression and policy noise keep the stock in a higher‑volatility regime. This piece unpacks Palantir’s Q3 setup, the AI valuation whiplash, the shutdown overhang versus relief rally dynamic, and the commercial adoption signals to watch. It then lays out scenarios, valuation context, and a practical investor checklist for the weeks ahead.

PalantirPLTRAIP+15 more

AMD After Q3: Can EPYC Server Wins and AI‑Accelerator Momentum Turn Last Week’s Results into Durable Growth?

Advanced Micro Devices posted a robust fiscal third quarter and an above-consensus fourth-quarter revenue outlook, underscoring a strengthening multi-engine story across EPYC server CPUs and Instinct AI accelerators. The print adds hard numbers to a narrative investors have followed for months: steady CPU share gains in cloud and enterprise, paired with an expanding accelerator pipeline that now includes export-licensed MI308 shipments to China and headline-grabbing deployments with OpenAI and Oracle. Yet durable growth isn’t guaranteed. The data center build-out is real—and massive—but timing remains lumpy across the AI server stack, and the competitive bar set by Nvidia is extraordinarily high. This analysis unpacks what AMD just delivered, how EPYC and Instinct could compound from here, what the ecosystem is signaling about timing, and the risks and checkpoints that will determine whether last week’s momentum translates into multi-year, margin-accretive growth.

AMDEPYCInstinct+17 more

JPMorgan’s $10B ‘National‑Security’ Push: How Big Banks Are Rewiring Capital to Chips, AI and Defense — Market, Deal‑flow and Policy Fallout

JPMorgan Chase has drawn a clear line between national security and capital allocation. In a new decade‑long Security and Resiliency Initiative, the bank plans up to $10 billion in direct investments and to finance or facilitate $1.5 trillion in capital for defense, frontier technologies, energy systems, and advanced manufacturing. The move, 50% larger than its prior plan, formalizes what has become an urgent theme in corporate finance: hardwiring capital to strategic industries amid geopolitical tension, supply chain fragility, and surging AI‑driven infrastructure needs. The timing is not accidental. Washington and Beijing have escalated policy risks around critical inputs, with China tightening rare‑earth export controls and the U.S. threatening new 100% tariffs and fresh export restrictions. Europe, too, has moved from theory to action, with the Dutch government taking control of Chinese‑owned Nexperia to safeguard chip supply and strategic capabilities. In markets, these shocks are colliding with record‑scale AI capex and increasingly interlinked deal structures across chips, software, cloud and data centers. This article examines the scale and scope of JPMorgan’s initiative, why the policy backdrop is accelerating such shifts, where the money is likely to flow, the financing “plumbing” risks in AI and semis, the regulatory spillovers to watch, and the investor playbook under base, upside and downside paths. Real‑time market, rate, and macro data frame the opportunity set and risk contours.

JPMorgannational securityAI infrastructure+17 more

Inside the $100B OpenAI–NVIDIA Pact: Chips, Compute, and the New Economics of Model Building

NVIDIA’s pledge to invest up to $100 billion in OpenAI, tied to a 10-gigawatt buildout of AI supercomputing, is not just another mega-deal—it is the capital markets’ clearest signal yet that compute is the strategic high ground of artificial intelligence. The architecture is unusually explicit: money arrives in $10 billion tranches, capacity arrives in gigawatts, and the first phase targets the second half of 2026 on NVIDIA’s next-generation Vera Rubin systems. OpenAI positions NVIDIA as a preferred, not exclusive, supplier across chips and networking, preserving leverage with other partners while concentrating on the stack that currently defines frontier AI performance. The stakes extend well beyond a bilateral relationship. A 10 GW program equates to roughly 4–5 million GPUs—about NVIDIA’s total expected shipments this year—and it forces hard choices about energy, siting, and financing. The pact reverberated immediately in markets, with NVIDIA shares rallying on the announcement and broader indices hitting fresh highs. Behind the pop is a recalibration of AI’s cost structure: concentrated access to compute becomes a moat, training throughput becomes the new velocity metric, and the economics of inference compress toward power, density, and interconnect performance. This article dissects the capital stack, engineering constraints, chip and cloud implications, and policy risks that will determine whether this bet on scale earns the returns its size implies.

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Oracle’s 30% Spike: Cloud Megadeals, AI Capacity, and a $455B Backlog — Does the Outlook Justify the Rerating?

Oracle rocketed after earnings despite a headline EPS and revenue miss, as investors focused on an extraordinary multiyear demand picture tied to artificial intelligence and cloud infrastructure. Remaining performance obligations surged to $455 billion, management mapped a path from roughly $10 billion of OCI revenue in FY2025 to $18 billion in FY2026 and as high as $144 billion by FY2030, and capex is set to climb about 65% to approximately $35 billion this year to build capacity. The core debate now is whether backlog quality, conversion tempo, and execution against aggressive capacity plans can sustain the stock’s rerating in the face of power, supply, and competitive constraints.

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Oracle’s AI Build-Out Has Rewired Its Valuation: What the Stock’s Surge Prices In—and What Must Still Be Proven

In the six weeks leading into August, Oracle’s share price climbed nearly 19%, closing at $250.05 on Friday, August 8, up from roughly $210 at the end of June, according to Yahoo Finance. The rally crested intraday at a fresh 52-week high of $260.87 on July 31, placing Oracle among the most visible beneficiaries of the market’s AI infrastructure trade. Behind the price action sits a striking capital expenditure cycle: free cash flow turned negative in the fiscal fourth quarter as Oracle accelerated data center build-outs tied to AI demand, SEC filings show for Q4 FY2025 (quarter ended May 31, 2025). That combination—rising price, rising capex, and the promise of AI-driven cloud growth—has transformed how investors value a software stalwart now trading as a capacity-constrained infrastructure provider in transition. Yet, the filings also reveal leverage, working-capital tightness, and margins that have not visibly expanded despite the hype, complicating the bull case. This article synthesizes recent filings, valuation metrics, and trading dynamics to examine what the market is discounting in Oracle’s AI growth story—and what still needs to show up in the numbers.

OracleORCLAI+12 more