{"id":369561,"date":"2025-12-24T20:54:08","date_gmt":"2025-12-24T20:54:08","guid":{"rendered":"https:\/\/www.newsbeep.com\/au\/369561\/"},"modified":"2025-12-24T20:54:08","modified_gmt":"2025-12-24T20:54:08","slug":"nvidia-microsoft-intel-snowflake-and-servicenow-in-focus-as-the-sp-500-hits-a-fresh-record","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/au\/369561\/","title":{"rendered":"Nvidia, Microsoft, Intel, Snowflake and ServiceNow in Focus as the S&P 500 Hits a Fresh Record"},"content":{"rendered":"

As of late morning on Wednesday, December 24, 2025, U.S. markets are trading through a holiday-thinned, shortened Christmas Eve session with one message dominating the tape: investors are back in \u201cAI mode.\u201d The S&P 500 pushed to a new intraday record, buoyed by renewed appetite for heavyweight AI and tech names and growing confidence that the Federal Reserve could deliver additional rate cuts in 2026\u2014two catalysts that have repeatedly powered the AI-stock trade over the past three years. [1]<\/a><\/p>\n

But beneath the headline index level, today\u2019s AI-stock story is more nuanced than a simple \u201cchips up, everything else follows\u201d narrative. From fresh questions about Intel\u2019s foundry ambitions to a new wave of enterprise-AI dealmaking and mounting scrutiny on how AI infrastructure is being financed, investors are ending 2025 by debating what matters most for AI stocks in 2026: demand, margins, funding, or geopolitics.<\/p>\n

The market backdrop: record highs return as AI leadership reasserts itself<\/p>\n

The S&P 500\u2019s record move comes after a choppy stretch in November, when worries about tech valuations and \u201cAI bubble\u201d dynamics resurfaced and pulled the index down meaningfully from October peaks. Reuters notes the AI trade regained momentum after upbeat Nvidia earnings and, importantly, Micron\u2019s outsized profit forecast helped re-energize confidence in the AI hardware cycle\u2014especially the memory side of the buildout. [2]<\/a><\/p>\n

That rebound has restored the familiar year-end pattern: mega-cap AI beneficiaries drawing incremental flows, while investors also rotate into cyclicals (financials, materials) to broaden the rally and reduce concentration risk. [3]<\/a><\/p>\n

What\u2019s driving AI stocks right now: rates, earnings, and AI spending expectations<\/p>\n

A Reuters year-end market analysis published today frames the 2026 setup around three pillars:<\/p>\n

Strong earnings growthA dovish Fed (or at least a Fed that can keep cutting without triggering recession fears)Sustained AI spending\u2014especially infrastructure spending that continues to translate into real revenues and profits [4]<\/a><\/p>\n

The same Reuters piece highlights how exceptional the current run has been: the S&P 500 is up over 17% in 2025 (with a few sessions left), after back-to-back gains in 2024 and 2023\u2014an unusually durable, AI-led bull market that began in October 2022. [5]<\/a><\/p>\n

2026 forecasts: Wall Street sees gains, but not \u201ceasy-mode\u201d gains<\/p>\n

Strategists are increasingly publishing year-end targets that assume continued upside, but with less room for valuation expansion. Reuters cites CFRA\u2019s Sam Stovall projecting a 2026 year-end level around 7,400 (roughly mid-single-digit to high-single-digit upside depending on the starting point), while more aggressive calls include Deutsche Bank\u2019s 8,000 target. [6]<\/a><\/p>\n

The common thread: earnings have to do more of the work, because multiples are already elevated. Reuters also reports forecasts calling for S&P 500 earnings to rise more than 15% in 2026 after solid growth in 2025. [7]<\/a><\/p>\n

The \u201cMagnificent Seven\u201d factor\u2014and why AI investors care<\/p>\n

The Magnificent Seven (the mega-cap tech\/AI bellwethers) remain central to both index performance and AI sentiment. Reuters notes that while the Mag 7 dominated profit growth in 2024, the gap is expected to narrow in 2026 as earnings growth broadens\u2014an important condition for a healthier market that doesn\u2019t rely on a handful of AI proxies. [8]<\/a><\/p>\n

The big risk hanging over AI stocks: can the capex math keep working?<\/p>\n

The debate investors are most focused on heading into 2026 is simple to ask and hard to answer:<\/p>\n

Will the massive AI infrastructure buildout generate returns fast enough to justify the spending?<\/p>\n

Reuters flags that questions about returns from AI capital spending have already dented some AI-linked shares\u2014and will likely remain a defining theme next year. [9]<\/a><\/p>\n

Investopedia\u2019s 2026 outlook echoes that concern and puts a number on it: hyperscalers (including Microsoft, Alphabet, Amazon, Meta, and Oracle) are expected to log combined capital expenditures of more than $500 billion next year, with AI infrastructure accounting for the majority. [10]<\/a><\/p>\n

That spending is bullish for AI chip and infrastructure suppliers\u2014until it isn\u2019t. If boards or investors decide the buildout is outpacing monetization, the fastest way the AI trade can \u201ccool\u201d is via capex guidance resets.<\/p>\n

A new wrinkle: AI data-center financing is becoming a story of its own<\/p>\n

One of the most underappreciated themes in late 2025 is how AI infrastructure is being funded\u2014especially beyond the self-financed hyperscalers.<\/p>\n

The Financial Times reports that tech groups including Meta, xAI, Oracle, and CoreWeave have shifted more than $120 billion of AI data-center debt off balance sheets using special-purpose vehicles (SPVs), backed by large Wall Street credit firms. The benefit is cleaner-looking corporate balance sheets; the risk is less transparency and potential systemic vulnerability if AI demand cools or if refinancing conditions tighten. [11]<\/a><\/p>\n

For AI-stock investors, this matters because \u201cAI demand\u201d is no longer only a product story\u2014it\u2019s increasingly a capital markets story.<\/p>\n

AI chip stocks: Intel and Nvidia put foundry ambitions back under the microscopeIntel slides after report Nvidia halted 18A testing<\/p>\n

One of today\u2019s most closely watched AI hardware headlines is Intel, after reporting tied to Nvidia\u2019s manufacturing evaluations. Reuters reporting highlighted in today\u2019s market coverage says Nvidia halted tests to manufacture on Intel\u2019s 18A chipmaking node after initial tests\u2014pressure that hit Intel shares in premarket trading. [12]<\/a><\/p>\n

The subtext is larger than a single customer test: Intel\u2019s multi-year repositioning depends on proving its most advanced processes can attract (and retain) external customers\u2014especially AI leaders that currently rely on TSMC-like foundry execution.<\/p>\n

Intel\u2019s \u201ctoo strategic to fail\u201d narrative grows\u2014with political stakes attached<\/p>\n

At the same time, Reuters published a deep dive today on Intel CEO Lip-Bu Tan and Intel\u2019s evolving relationship with the U.S. government. Reuters reports the U.S. government committed $5.7 billion for nearly a 10% stake in Intel, and describes how that deal elevated Intel\u2019s strategic importance even as operational execution remains under scrutiny. [13]<\/a><\/p>\n

For AI-stock readers, the takeaway is that Intel\u2019s AI\/foundry trajectory is now influenced by both engineering milestones and policy dynamics\u2014a combination that can amplify upside if partnerships materialize, or increase volatility if expectations get ahead of fundamentals.<\/p>\n

Geopolitics is back in the AI-stock conversation: chip tariffs and U.S.\u2013China tensions<\/p>\n

AI stocks don\u2019t trade in a vacuum\u2014especially AI semiconductors.<\/p>\n

On December 24, China said it opposed the U.S. \u201cindiscriminate use of tariffs\u201d and \u201cunreasonable suppression\u201d of Chinese industries in response to Washington\u2019s plan to impose tariffs on Chinese semiconductor imports, according to Reuters. [14]<\/a><\/p>\n

That response follows a Reuters report that the U.S. plans to impose new tariffs on Chinese semiconductor imports but delay implementation until June 2027, while keeping broader trade and technology leverage in play. [15]<\/a><\/p>\n

For AI-chip investors, these headlines tend to feed directly into:<\/p>\n

export-license uncertaintyChina demand assumptionssupply-chain localization narrativesand risk premiums applied to chipmakers most exposed to cross-border policy shiftsEnterprise AI software stocks: dealmaking and index moves lead today\u2019s narrative<\/p>\n

While semis grab the spotlight, several enterprise AI \u201cplatform\u201d names are generating their own catalysts today\u2014often through acquisitions, product positioning, or index inclusion.<\/p>\n

Snowflake: talks to buy Observe for about $1 billion<\/p>\n

Snowflake is reportedly in talks to acquire Observe for roughly $1 billion, a move positioned as a major step in its AI and observability push. Investors.com describes it as Snowflake\u2019s largest acquisition to date and places it in the context of intensifying competition in observability and AI tooling (against firms like Datadog, Dynatrace, and Splunk). [16]<\/a><\/p>\n

Why it matters for AI stocks: \u201cAI apps\u201d don\u2019t scale without reliable monitoring, cost controls, and performance visibility. Observability is becoming core infrastructure for agentic workflows\u2014not just a developer nice-to-have.<\/p>\n

ServiceNow: Armis deal underscores \u201ccybersecurity for AI\u201d as a growth lane<\/p>\n

ServiceNow announced a $7.75 billion all-cash agreement to buy cybersecurity firm Armis, its largest acquisition to date, as it tries to deepen security capabilities in increasingly AI-driven enterprise environments, according to MarketWatch. [17]<\/a><\/p>\n

Investors.com also notes the market\u2019s mixed reaction, with the stock dropping on deal concerns even as analysts weigh the strategic value of integrating operational-technology security data into enterprise AI workflows. [18]<\/a><\/p>\n

The broader signal: AI is expanding the attack surface, and platform vendors are racing to own security controls that can keep up with autonomous and connected systems.<\/p>\n

UiPath: index inclusion adds a mechanical tailwind<\/p>\n

UiPath gained attention today after S&P Dow Jones Indices said the company is set to join the S&P MidCap 400, replacing Synovus Financial. Investopedia notes that inclusion doesn\u2019t guarantee performance, but it can drive incremental demand from index-tracking funds and broaden exposure to institutional buyers. [19]<\/a><\/p>\n

For AI-stock watchers, UiPath is a reminder that \u201cAI software\u201d isn\u2019t only GenAI chat\u2014automation platforms are increasingly bundling AI assistants and agentic tools into workflow execution.<\/p>\n

Analyst and strategy watch: semis still favored, but volatility warnings are rising<\/p>\n

A notable late-2025 positioning theme is that many strategists still like the AI semiconductor complex\u2014yet are becoming more explicit about second-half 2026 volatility risk if AI infrastructure costs and funding concerns intensify.<\/p>\n

Investors.com highlights a Citi call naming Microchip Technology as a top 2026 semiconductor pick while still expressing optimism about AI-linked chip leaders like Nvidia, Broadcom, and Micron\u2014alongside a warning that AI chip stocks could become more volatile in the back half of 2026 as the market debates the sustainability of AI infrastructure economics. [20]<\/a><\/p>\n

This aligns with the broader macro logic: when an industry is in a capex supercycle, the timing of ROI matters almost as much as the size of demand.<\/p>\n

The \u201cAI stocks\u201d checklist heading into 2026<\/p>\n

Going into the final trading days of 2025 and into January\u2019s earnings season, AI-stock investors are increasingly watching for a few specific signals:<\/p>\n

Capex guidance and payback periods: any hint of delayed monetization can compress multiples quickly. [21]<\/a>Earnings breadth beyond mega-cap AI: broader profit growth helps reduce \u201cAI concentration\u201d risk in the indices. [22]<\/a>Policy and trade surprises: tariffs, export rules, and U.S.\u2013China dynamics can reprice chip exposure overnight. [23]<\/a>AI infrastructure funding conditions: private credit and SPV structures may affect the pace of data-center expansion outside hyperscalers. [24]<\/a>M&A as a competitive weapon: platform vendors are buying capabilities (observability, cybersecurity, data tooling) to defend AI distribution and enterprise budgets. [25]<\/a>Bottom line: AI stocks end 2025 back in the driver\u2019s seat\u2014but 2026 is shaping up as a \u201cprove it\u201d year<\/p>\n

Today\u2019s record-high tape shows the AI trade still has gravitational pull\u2014especially when rates are expected to fall and earnings remain resilient. [26]<\/a><\/p>\n

But the conversation is shifting from whether AI will transform business to when the financial statements will justify the infrastructure bill. With hyperscaler capex projected to remain enormous and new financing structures pushing debt out of sight, the market\u2019s tolerance for disappointment may be lower than it was earlier in the cycle. [27]<\/a><\/p>\n

That sets up 2026 as a year where AI stocks could still lead\u2014yet the winners may increasingly be the companies that can translate AI ambition into measurable cash flow, predictable margins, and credible returns on capital.<\/p>\n

References<\/p>\n

1. www.reuters.com<\/a>, 2. www.reuters.com<\/a>, 3. www.reuters.com<\/a>, 4. www.reuters.com<\/a>, 5. www.reuters.com<\/a>, 6. www.reuters.com<\/a>, 7. www.reuters.com<\/a>, 8. www.reuters.com<\/a>, 9. www.reuters.com<\/a>, 10. www.investopedia.com<\/a>, 11. www.ft.com<\/a>, 12. www.reuters.com<\/a>, 13. www.reuters.com<\/a>, 14. www.reuters.com<\/a>, 15. www.reuters.com<\/a>, 16. www.investors.com<\/a>, 17. www.marketwatch.com<\/a>, 18. www.investors.com<\/a>, 19. www.investopedia.com<\/a>, 20. www.investors.com<\/a>, 21. www.reuters.com<\/a>, 22. www.reuters.com<\/a>, 23. www.reuters.com<\/a>, 24. www.ft.com<\/a>, 25. www.investors.com<\/a>, 26. www.reuters.com<\/a>, 27. www.investopedia.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"As of late morning on Wednesday, December 24, 2025, U.S. markets are trading through a holiday-thinned, shortened Christmas…\n","protected":false},"author":2,"featured_media":369562,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[256,190735,254,255,64,63,2291,5463,4679,105],"class_list":{"0":"post-369561","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-ai-stocks","10":"tag-artificial-intelligence","11":"tag-artificialintelligence","12":"tag-au","13":"tag-australia","14":"tag-nvidia","15":"tag-sp-500","16":"tag-stock-market","17":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/369561","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/comments?post=369561"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/posts\/369561\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media\/369562"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/media?parent=369561"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/categories?post=369561"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/au\/wp-json\/wp\/v2\/tags?post=369561"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}