Updated: 1:59 p.m. ET, Thursday, December 18, 2025
AI stocks are rebounding sharply midday Thursday after a bruising bout of “AI trade” volatility earlier this week. The catalyst is familiar: hard evidence of demand. Micron’s blowout outlook and comments around high-bandwidth memory (HBM) have steadied sentiment across semiconductors and mega-cap tech—just as markets digest softer U.S. inflation data, renewed debate over debt-funded data-center expansion, and a fresh jolt from private-market headlines around OpenAI’s next fundraising ambitions. [1]
Below is a comprehensive, publication-ready roundup of the key AI-stock news, forecasts, and market-moving analyses circulating on December 18, 2025, along with what they may mean for investors as 2025 heads toward the finish line.
AI stocks today at 1:59 p.m. ET: where the market is landing
By early afternoon, the tone has shifted from “AI bubble anxiety” back toward “AI demand is real”—with chips and hyperscalers leading.
As of 1:59 p.m. ET (prices snapshot):
- Micron (MU): ~$255.95, up ~13.50%
- Nvidia (NVDA): ~$174.89, up ~2.31%
- AMD (AMD): ~$118.48, up ~2.19%
- Broadcom (AVGO): ~$220.72, up ~1.41%
- Microsoft (MSFT): ~$558.03, up ~2.25%
- Alphabet (GOOGL): ~$244.92, up ~2.23%
- Meta (META): ~$917.79, up ~2.68%
- Taiwan Semi ADR (TSM): ~$330.50, up ~3.32%
- Oracle (ORCL): ~$179.79, up ~0.75% (after notable volatility)
- Accenture (ACN): ~$424.58, down ~1.20%
Earlier in the session, Reuters reported the Philadelphia SE Semiconductor Index jumped about 3%, as Micron’s guidance helped pull the broader chip complex higher. [2]
Macro tailwind: softer inflation gives long-duration “AI winners” breathing room
Today’s AI-stock rebound is also getting help from the macro side. Reuters reported that U.S. inflation data came in softer than expected (with the annual CPI reading for November at 2.7% year-on-year versus a 3.1% forecast), nudging Treasury yields lower and reviving rate-cut hopes—conditions that typically support high-growth tech multiples. [3]
Reuters also noted the CPI release had quirks: the U.S. Bureau of Labor Statistics did not publish certain month-to-month CPI changes after a prolonged government shutdown prevented collection of October data—an “asterisk” markets are still debating. [4]
The headline mover: Micron’s HBM message powers the AI semiconductor rebound
If there’s one takeaway driving AI stocks today, it’s this: the AI buildout is still supply-constrained—and memory is a critical choke point.
Reuters reported Micron shares surged after the company issued an outsized profit forecast, citing a worldwide supply crunch in memory chips and robust demand from AI data centers. [5]
Why Micron matters to AI stocks (even beyond MU)
Micron sits at the center of a high-stakes AI bottleneck: HBM, the premium memory used alongside AI accelerators. Reuters emphasized that Micron is one of only three major HBM suppliers, alongside Samsung and SK Hynix. [6]
The forecasts investors are anchoring to
Micron’s earnings call language (as published in an Investing.com transcript) put unusually explicit numbers around the growth runway:
- Micron said it has completed price and volume agreements for its entire calendar 2026 HBM supply, including HBM4.
- The company forecast HBM total addressable market (TAM) CAGR of ~40% through 2028, rising from ~$35 billion (2025) to ~$100 billion (2028)—and noted that the $100B milestone is now expected two years earlier than its prior outlook. [7]
Reuters added further “duration” to the story: Micron’s CEO has said memory markets could remain tight past 2026, while analysts cited by Reuters described potential tightness stretching into 2027—even as Micron lifts its 2026 capex plan to $20 billion. [8]
Why this lifts Nvidia, Broadcom, and AMD today: investors have been questioning whether hyperscalers and AI labs can keep spending at the pace implied by chip valuations. Micron’s commentary effectively says: the ecosystem is still fighting over scarce, premium components.
The debate that won’t go away: AI data-center financing and the “capex reality check”
Even with today’s rally, the AI trade remains unusually sensitive to one theme: how the AI boom gets financed.
Reuters explicitly framed recent market jitters as concern over “massive debt-backed spending” and uncertainty around how companies monetize AI—an anxiety that has “plagued risk-taking this quarter.” [9]
Oracle’s Stargate noise: a stress test for the whole AI complex
Oracle has become a bellwether for AI infrastructure financing sentiment because it straddles cloud, data centers, and major AI partnerships.
- Reuters reported Oracle rebounded after falling on Wednesday amid headlines about funding plans for a Stargate data center, and was up on Thursday as the broader tech complex recovered. [10]
- MarketWatch summarized the broader angle: a sharp pullback in multiple AI-linked names has been tied to concerns that neocloud and data-center builders may struggle to secure enough debt financing for massive expansions, with Oracle often cited as a focal point in that debate. [11]
- A Reuters Breakingviews column underscored the strategic bind: in an “AI war,” Oracle’s cloud push forces it to support customers—while also competing in a capital-intensive arms race. [12]
By 1:59 p.m. ET, Oracle’s stock was modestly higher on the day, but still trading below its session open—an illustration of how quickly sentiment can swing on the financing narrative.
Private-market gravity: OpenAI’s fundraising talk reverberates across public AI stocks
One of the most market-sensitive AI headlines today isn’t about a public company at all.
Reuters reported that OpenAI has held preliminary talks about raising funds at a valuation of around $750 billion, and that it could potentially raise as much as $100 billion, citing The Information. Reuters noted it could not immediately verify the report and OpenAI did not immediately respond. [13]
This matters for AI stocks for two reasons:
- Compute demand signal: a fundraising of that scale reinforces the idea that frontier AI leaders still expect enormous spending on training and inference infrastructure—good news for the supply chain.
- Capex scrutiny: the bigger the private-market numbers get, the more investors pressure public markets to justify “AI-era” spending with credible monetization timelines.
Reuters also connected OpenAI’s appetite for compute to its ecosystem relationships, noting multibillion-dollar AI deals this year involving companies such as Nvidia and Oracle, while also pointing out investors remain cautious for any sign demand might cool or investments may not pay off. [14]
Global AI supply chain check: Taiwan upgrades growth outlook on the AI-chip export boom
The AI stock story is no longer just “Silicon Valley versus Wall Street.” It’s macroeconomics—especially in chip-export hubs.
Reuters reported Taiwan’s central bank raised its 2025 growth forecast to 7.31% (from 4.55%), explicitly linking the boost to booming exports of tech goods driven by demand tied to semiconductors powering the AI boom. It forecast growth slowing to 3.67% next year, though that was still above its prior estimate. [15]
The same Reuters report highlighted the geopolitical overlay—U.S. tariffs on Taiwan-made goods (with semiconductors excluded so far), and Taiwan’s sharply larger U.S. trade surplus—factors investors watch closely because policy shifts can reprice the AI hardware value chain quickly. [16]
Nvidia adds another long-term signal: a major new R&D campus in Israel
Beyond daily trading, investors also track structural bets in AI hardware leadership—especially from Nvidia.
Israeli outlet The Times of Israel reported Nvidia announced plans to build a large R&D campus in Kiryat Tivon, described as a multibillion-shekel project intended to bring thousands of jobs and deepen its footprint outside the U.S. [17]
While this is a long-duration headline rather than a near-term revenue driver, it fits the broader narrative of AI capacity as industrial policy—with talent, power, and local ecosystems increasingly treated as strategic assets.
Services layer: Accenture beats estimates on AI demand, but the stock isn’t joining the party
Not all AI-linked winners are leading today. Professional services and consulting are often seen as a “second derivative” of the AI boom: they benefit when enterprises actually deploy tools at scale.
Reuters reported Accenture beat revenue estimates on demand for AI-powered services. [18]
Yet by 1:59 p.m. ET, Accenture shares were down about 1.2% on the day—suggesting investors are still discriminating between AI exposure and AI profitability, especially into year-end positioning.
Regulatory risk returns to the AI conversation: FTC probes Instacart’s AI pricing tool
AI stocks don’t trade purely on growth stories anymore. Regulation, consumer trust, and political optics are now part of the valuation.
Reuters reported the U.S. Federal Trade Commission is probing Instacart over its AI-driven pricing tool (Eversight), after criticism and a study alleging shoppers saw different prices for the same groceries; Reuters said Instacart shares fell in after-hours on the news and noted the probe does not prove wrongdoing. [19]
For investors, this is another reminder that “AI everywhere” can become a regulatory flashpoint—especially when AI is tied to pricing, affordability, and perceived fairness.
What to watch next: the catalysts that could move AI stocks into year-end
Today’s rebound doesn’t end the debate—it just shifts it back toward fundamentals. Here are the signals traders and long-term investors are likely to keep pressing:
- Supply constraints vs. shipment growth: Micron is effectively saying HBM tightness persists and the market is expanding fast. The question is whether supply growth keeps pace—or whether constraints become a brake on GPU shipments and data-center deployments.
- Financing conditions for data centers: the market is increasingly sensitive to whether the next wave of AI capacity is funded cheaply and smoothly, or whether higher credit friction forces a slower buildout. [20]
- Private-market “AI valuations” spilling into public markets: OpenAI’s reported funding ambitions raise expectations for the entire AI ecosystem—while also raising the bar for proof of monetization. [21]
- 2026 growth forecasts: Even amid volatility, some analysts remain bullish on the AI semiconductor cycle. Investing.com summarized a Bank of America view that the AI race is still in early-to-mid stages and forecast another year of 50%+ YoY growth in AI semiconductors, favoring large-cap chip names tied to data-center utilization and tight supply. [22]
Bottom line: today’s AI-stock rally is a reminder of what still matters
AI stocks are rallying today because Micron delivered what the market demanded: tangible evidence of AI infrastructure demand and pricing power. But the broader AI trade is no longer a one-way bet. It’s a tug-of-war between:
- real demand signals (HBM tightness, capex commitments, export booms), and
- real constraints (financing risk, regulation, and the market’s impatience for monetization proof).
That push-and-pull is likely to define AI stock action not just into the end of 2025—but well into 2026.
References
1. www.reuters.com, 2. www.reuters.com, 3. www.reuters.com, 4. www.reuters.com, 5. www.reuters.com, 6. www.reuters.com, 7. ca.investing.com, 8. www.reuters.com, 9. www.reuters.com, 10. www.reuters.com, 11. www.marketwatch.com, 12. www.reuters.com, 13. www.reuters.com, 14. www.reuters.com, 15. www.reuters.com, 16. www.reuters.com, 17. www.timesofisrael.com, 18. www.reuters.com, 19. www.reuters.com, 20. www.marketwatch.com, 21. www.reuters.com, 22. www.investing.com
