As of 5:02 p.m. ET on Wednesday, December 24, 2025, the \u201cAI trade\u201d is closing out a holiday-shortened session with fresh momentum \u2014 and a new set of questions investors can\u2019t ignore.<\/p>\n
On one hand, U.S. benchmarks pushed to new records during the early Christmas Eve close, a classic \u201cSanta rally\u201d setup supported by easing-rate expectations and renewed appetite for mega-cap tech and AI names. On the other hand, today\u2019s biggest AI headlines aren\u2019t just about chips and models anymore. They\u2019re increasingly about dealmaking, data-center financing, capital-expenditure transparency, and regulatory pressure on how AI assistants get distributed to consumers. [1]<\/a><\/p>\n Below is a detailed, publication-ready roundup of the major AI stock news, forecasts, and market analyses published on 24.12.2025 \u2014 plus what they signal heading into 2026.<\/p>\n AI stocks lift the market into record territory \u2014 with rate-cut bets back in focus<\/p>\n By late morning in the U.S., the S&P 500 hit a fresh intraday record (6,920.88), its first in more than a month, as investors rotated back into heavyweight tech and AI names while leaning into expectations for additional Federal Reserve rate cuts in 2026. Reuters noted the index had slid as much as 5.7% in November from October highs amid bubble fears in AI-linked stocks, but regained traction after chipmaker Micron delivered a notably upbeat outlook last week. [2]<\/a><\/p>\n By the close of the early, low-volume Christmas Eve session, Reuters reported both the Dow and S&P 500 finishing at record highs, with trading volumes notably thinner than usual \u2014 exactly the kind of tape that can magnify moves in crowded themes like AI. [3]<\/a><\/p>\n And the calendar mattered today: markets shut early for Christmas Eve (and remained closed for Christmas Day), with the stock market closing at 1 p.m. ET and the bond market at 2 p.m. ET, according to Investopedia. [4]<\/a><\/p>\n Why this matters for AI investors: the year-end AI rally is happening alongside a shift in what investors are rewarding. The market isn\u2019t just chasing \u201cAI exposure\u201d \u2014 it\u2019s increasingly sorting companies by (1) who can monetize AI, (2) who can finance AI infrastructure responsibly, and (3) who can defend margins as compute costs evolve.<\/p>\n Nvidia\u2019s reported $20 billion Groq deal becomes the day\u2019s defining AI-chip headline<\/p>\n The biggest single-company AI shockwave of Dec. 24 landed late in the day: Reuters reported that Nvidia has agreed to buy AI chip startup Groq for $20 billion in cash, citing a CNBC report. Reuters added that the reported deal includes Groq\u2019s assets but excludes its GroqCloud business, according to the CEO of a firm that led Groq\u2019s latest financing round. Nvidia and Groq did not immediately respond to Reuters for comment. [5]<\/a><\/p>\n Groq, founded by Jonathan Ross, is positioned around high-performance AI inference chips \u2014 the part of the AI stack that runs trained models in production, where latency and cost efficiency often decide enterprise adoption. Reuters noted Groq\u2019s valuation had more than doubled to $6.9 billion following a $750 million funding round in September, and that a $20 billion price tag would be Nvidia\u2019s largest acquisition since Mellanox. [6]<\/a><\/p>\n What the market is likely to debate next<\/p>\n If the reported Nvidia\u2013Groq deal holds up, it spotlights a key strategic battleground for AI stocks entering 2026:<\/p>\n Inference is becoming as important as training. AI workloads are shifting from \u201cbuild the biggest model\u201d to \u201crun the model everywhere,\u201d which elevates chips, networking, and software optimized for serving.M&A is back as a growth lever. Today\u2019s report lands amid broader expectations that tech deal activity remains strong into 2026, especially in AI and cybersecurity. [7]<\/a>Regulators and customers will scrutinize platform consolidation. Nvidia already sits at the center of the AI compute stack; any major acquisition can raise questions about ecosystem control and pricing power.Chips and hardware: Micron\u2019s AI memory tailwind, Broadcom\u2019s \u201cAI bargain\u201d case, and Intel\u2019s foundry setbackMicron rides the AI infrastructure wave into a record close<\/p>\n AI isn\u2019t only a GPU story. In the same Reuters session wrap that captured record index closes, Micron shares climbed 3.8% to finish at a closing record of $286.68, extending a move sparked by the company\u2019s strong forecast the prior week. [8]<\/a><\/p>\n In the market narrative on Dec. 24, Micron effectively played the role of \u201cAI bottleneck beneficiary\u201d: memory (and specifically the high-bandwidth flavors used in accelerated compute) remains one of the key constraints in scaling AI workloads economically.<\/p>\n Broadcom stays on the short list for 2026 AI chip winners<\/p>\n A Nasdaq.com column published early today argued that three stocks could be \u201cbig winners again\u201d in 2026 \u2014 Nvidia, Broadcom, and Taiwan Semiconductor Manufacturing (TSMC) \u2014 highlighting Broadcom\u2019s exposure to custom AI chips and TSMC\u2019s leverage to demand for both GPUs and custom silicon. [9]<\/a><\/p>\n Separately, Barron\u2019s reported that veteran tech investor Paul Wick named Broadcom among his top large-cap tech picks, emphasizing the durability of AI-driven demand and suggesting opportunities beyond the most crowded winners. [10]<\/a><\/p>\n Intel slides after a report tied to Nvidia\u2019s manufacturing choices<\/p>\n Not every \u201cAI-adjacent\u201d semiconductor headline was bullish. A Barron\u2019s stock movers recap said Intel fell after reports Nvidia chose not to use Intel\u2019s chip manufacturing process \u2014 a notable datapoint because Intel\u2019s foundry ambitions are a major part of its long-term equity story in an AI-led chip cycle. [11]<\/a><\/p>\n Enterprise AI software: UiPath\u2019s index boost, Salesforce\u2019s AI comeback thesis, and Snowflake\u2019s rumored deal<\/p>\n While chips are still the \u201cfront page\u201d of AI investing, Dec. 24 showed how quickly the spotlight is widening toward enterprise software and data platforms \u2014 especially as markets demand clearer AI monetization.<\/p>\n UiPath jumps on S&P MidCap 400 inclusion<\/p>\n UiPath delivered one of today\u2019s cleanest \u201cmechanical catalyst\u201d moves: Investopedia reported the stock rose roughly 8% premarket after news it will join the S&P MidCap 400 before trading starts on Jan. 2, 2026. [12]<\/a><\/p>\n Barron\u2019s framed UiPath as an \u201cAI winner\u201d getting a \u201cbig boost\u201d from the index change \u2014 a dynamic that can create forced buying from index funds and ETFs. [13]<\/a><\/p>\n Meanwhile, MarketBeat (also dated Dec. 24) noted the stock \u201cgapped up,\u201d pointing to the index inclusion as the primary driver and citing analyst target increases (for example, Morgan Stanley and RBC raising price targets to $19 in recent notes). [14]<\/a><\/p>\n What to watch: after the index pop, investors typically refocus on fundamentals \u2014 especially whether AI-driven automation demand is accelerating in large, repeatable deployments rather than pilot programs.<\/p>\n Salesforce: \u201cready to emerge an AI winner,\u201d per Barron\u2019s<\/p>\n Barron\u2019s made a detailed case that Salesforce is positioned for an AI narrative reversal, pointing to traction in its Agentforce offering and citing 330% year-over-year growth in annual recurring revenue for the platform (from a small base). Barron\u2019s also highlighted improving margins and argued that valuation skepticism may be overdone if growth re-accelerates. [15]<\/a><\/p>\n Snowflake reportedly in talks to buy Observe for ~$1B<\/p>\n M&A rumors weren\u2019t confined to chips. Investor\u2019s Business Daily reported that Snowflake is in talks to acquire Observe for about $1 billion, potentially its largest deal yet, as data-platform vendors race to offer the tooling needed for AI agents and enterprise automation. IBD also noted Snowflake\u2019s recent earnings strength and described a broader \u201cAI acquisition spree\u201d dynamic across the sector. [16]<\/a><\/p>\n AI-stock implication: software and data platforms are increasingly valued on whether they can become the \u201csystem of record\u201d (and the orchestration layer) for enterprise AI agents \u2014 not just whether they can bolt a chatbot onto an existing product.<\/p>\n Reddit\u2019s AI licensing narrative strengthens<\/p>\n Another under-the-radar AI stock angle surfaced in Barron\u2019s coverage of Reddit: the publication said Reddit is generating more than $100 million annually from licensing deals with AI firms (including OpenAI and Google) and highlighted analyst optimism tied to both advertising momentum and AI-related product initiatives. [17]<\/a><\/p>\n New risks for AI stocks: capex scrutiny, off-balance-sheet AI debt, and a \u201cblack box\u201d problem in infrastructure accounting<\/p>\n As much as today\u2019s tape was bullish for AI equities, Dec. 24 also delivered multiple high-impact analyses that can\u2019t be waved away as \u201cnoise.\u201d<\/p>\n Wall Street\u2019s 2026 outlook depends on AI spending \u2014 but returns must show up<\/p>\n In a Dec. 24 Reuters analysis, strategists argued that sustaining strong equity returns in 2026 will require (1) continued AI spending, (2) strong corporate earnings, and (3) a dovish Fed. Reuters cited forecasts for S&P 500 earnings growth above 15% in 2026 and noted expectations that earnings leadership may broaden beyond the \u201cMagnificent Seven.\u201d [18]<\/a><\/p>\n But Reuters also underscored the central risk: if markets lose confidence in the returns on guided AI capex \u2014 or if companies pull back \u2014 the upside case weakens materially. [19]<\/a><\/p>\n Investopedia echoed the optimism (with caution), reporting that Wall Street expects a modest 2026 gain for the S&P 500 while warning that risks are growing \u2014 particularly in overheated tech and AI pockets where valuations may be vulnerable to any growth disappointment. [20]<\/a><\/p>\n FT: Tech groups move $120B of AI data-center debt off balance sheets<\/p>\n A Financial Times report dated Dec. 24 said major tech-related groups \u2014 including Meta, xAI, Oracle, and CoreWeave \u2014 have shifted more than $120 billion in AI data-center debt off balance sheets using special purpose vehicles (SPVs), funded by large Wall Street firms. The FT framed this structure as a way to finance AI infrastructure while keeping reported credit metrics cleaner \u2014 but also as a potential source of hidden risk if AI demand or pricing falters. [21]<\/a><\/p>\n WSJ: AI construction costs are becoming an accounting \u201cblack box\u201d<\/p>\n The Wall Street Journal highlighted how AI infrastructure spending can get buried inside broad \u201cconstruction-in-progress\u201d categories, limiting investor visibility into what is long-lived (buildings) versus what depreciates quickly (chips and specialized equipment). The thrust: investors want more granular disclosure, because depreciation schedules and obsolescence risk are very different for concrete versus compute. [22]<\/a><\/p>\n Why these two stories matter for AI stocks: the market\u2019s next phase may hinge less on \u201cAI excitement\u201d and more on capital discipline and disclosure quality. Investors can tolerate massive AI spend \u2014 but they\u2019ll increasingly demand clarity on how it\u2019s financed and how quickly it becomes obsolete.<\/p>\n Regulation enters the AI distribution layer: Meta and WhatsApp in the spotlight<\/p>\n AI competition is not just about model quality \u2014 it\u2019s also about distribution: who gets default placement inside the apps people use every day.<\/p>\n On Dec. 24, Reuters reported that Italy\u2019s antitrust authority ordered Meta to suspend WhatsApp terms suspected of restricting rival AI chatbot providers, with Meta criticizing the decision and saying it plans to appeal. Reuters said the European Commission is running a parallel investigation and coordinating with Italian authorities. [23]<\/a><\/p>\n Investor\u2019s Business Daily added that the dispute is tied to WhatsApp\u2019s business API terms and rival chatbot access (including third-party assistants), with Meta arguing the API wasn\u2019t designed for those integrations. [24]<\/a><\/p>\n Investor takeaway: if regulators force open distribution channels inside dominant messaging platforms, that could shape the economics of consumer AI assistants \u2014 and influence how investors value ecosystems that rely on default placement.<\/p>\n AI stock forecasts dated Dec. 24: where analysts see upside \u2014 and what they\u2019re watching<\/p>\n Forecasts published today painted a market that\u2019s optimistic, but more selective than it was earlier in the AI boom.<\/p>\n Nvidia: big upside targets still dominate the debate<\/p>\n A TipRanks article dated Dec. 24 reported that Evercore ISI analyst Mark Lipacis raised his Nvidia price target to $352 (from $261), implying 86% upside from the price level referenced in the piece, while acknowledging ongoing risks including China-related issues and macro variability in AI demand. [25]<\/a><\/p>\n At the same time, Investor\u2019s Business Daily reported Nvidia was holding above key technical levels and discussed ongoing uncertainty around China-linked sales pathways for AI chips, framing export policy as a meaningful swing factor. [26]<\/a><\/p>\n Broadcom and TSMC remain \u201cpicks-and-shovels\u201d favorites for 2026<\/p>\n Nasdaq.com (publishing a Motley Fool column at 6:20 a.m. EST on Dec. 24) reiterated the thesis that Broadcom\u2019s custom-chip demand and TSMC\u2019s foundry dominance position them as major beneficiaries if AI spending persists into 2026. [27]<\/a><\/p>\n Bottom line: Dec. 24 confirms the AI trade is evolving \u2014 from hype to balance sheets<\/p>\n The most important message from AI stocks today isn\u2019t only that the rally is alive \u2014 it\u2019s what kind of AI story the market is starting to price:<\/p>\n M&A and platform strategy are back on the front page (Nvidia\u2013Groq, Snowflake\u2013Observe). [28]<\/a>\u201cAI winners\u201d are broadening beyond GPUs into memory, enterprise automation, CRM, and data platforms (Micron, UiPath, Salesforce). [29]<\/a>Financial structure and disclosure are becoming just as important as product announcements (FT on off-balance-sheet AI debt; WSJ on opaque AI infrastructure accounting). [30]<\/a>Regulation is moving into AI distribution, not just privacy and content (Meta\/WhatsApp and rival chatbots). [31]<\/a><\/p>\n As Wall Street looks toward 2026, the AI question is shifting from \u201cWho has AI?\u201d to \u201cWho can prove returns on AI spending \u2014 and show investors the math clearly?\u201d [32]<\/a><\/p>\n This article is for informational purposes only and does not constitute investment advice.<\/p>\n References<\/p>\n 1. www.reuters.com<\/a>, 2. www.reuters.com<\/a>, 3. www.reuters.com<\/a>, 4. www.investopedia.com<\/a>, 5. www.reuters.com<\/a>, 6. www.reuters.com<\/a>, 7. www.barrons.com<\/a>, 8. www.reuters.com<\/a>, 9. www.nasdaq.com<\/a>, 10. www.barrons.com<\/a>, 11. www.barrons.com<\/a>, 12. www.investopedia.com<\/a>, 13. www.barrons.com<\/a>, 14. www.marketbeat.com<\/a>, 15. www.barrons.com<\/a>, 16. www.investors.com<\/a>, 17. www.barrons.com<\/a>, 18. www.reuters.com<\/a>, 19. www.reuters.com<\/a>, 20. www.investopedia.com<\/a>, 21. www.ft.com<\/a>, 22. www.wsj.com<\/a>, 23. www.reuters.com<\/a>, 24. www.investors.com<\/a>, 25. www.tipranks.com<\/a>, 26. www.investors.com<\/a>, 27. www.nasdaq.com<\/a>, 28. www.reuters.com<\/a>, 29. www.reuters.com<\/a>, 30. www.ft.com<\/a>, 31. www.reuters.com<\/a>, 32. www.reuters.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"As of 5:02 p.m. ET on Wednesday, December 24, 2025, the \u201cAI trade\u201d is closing out a holiday-shortened…\n","protected":false},"author":2,"featured_media":367187,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[62,136820,276,277,49,48,25341,13909,6494,61,6495],"class_list":["post-367186","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-ai-stocks","tag-artificial-intelligence","tag-artificialintelligence","tag-ca","tag-canada","tag-groq","tag-mergers-and-acquisitions","tag-nvidia","tag-technology","tag-wall-street"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/367186","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/comments?post=367186"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/367186\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media\/367187"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media?parent=367186"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/categories?post=367186"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/tags?post=367186"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}