Semiconductor Stocks Today: Nvidia, AMD and Broadcom Sink as AI Selloff Deepens—Micron Jumps After Hours (Dec. 17, 2025)

Semiconductor Stocks Today: Nvidia, AMD and Broadcom Sink as AI Selloff Deepens—Micron Jumps After Hours (Dec. 17, 2025)

As of 6:00 p.m. ET on Wednesday, December 17, 2025, U.S.-listed semiconductor stocks have wrapped up a bruising regular session—then immediately pivoted into a very different after-hours story led by Micron Technology.

The day’s defining theme was a renewed wave of “AI trade” de-risking that hit chipmakers, chip-equipment names, and data-center exposed semiconductor plays. In the background: fresh headlines around AI infrastructure financingcompetitive pressure in AI chips, and policy and security scrutiny that investors are treating as real, near-term risk—not just narrative. 1


US stock market close: semiconductors dragged the Nasdaq lower

Wall Street extended its pullback for a fourth straight session. The S&P 500 fell 1.2% to 6,721.43, the Nasdaq slid 1.8% to 22,693.32, and the Dow dropped 0.5% to 47,885.97—a risk-off tape that set the stage for chip stocks to underperform. 1

Within tech, semiconductors were singled out as one of the market’s weakest pockets: the Philadelphia Semiconductor Index (SOX) fell about 3.8% on the day, according to a late-afternoon market wrap carried by Nasdaq. 2

ETF proxies told the same story. The iShares Semiconductor ETF (SOXX) closed down about 3.8% and the VanEck Semiconductor ETF (SMH) fell roughly 3.7%.


Biggest US semiconductor stock moves today: broad declines across AI, foundry, and chip equipment

In the regular session, the selloff was broad—spanning AI accelerators, analog, smartphone chips, and the “picks-and-shovels” equipment complex.

AI and data-center exposed chip leaders

  • Nvidia (NVDA) closed at $170.94, down ~3.7%.
  • Advanced Micro Devices (AMD) closed at $198.11, down ~5.3%.
  • Broadcom (AVGO) closed at $326.02, down ~4.5%3
  • Arm (ARM) closed at $114.58, down ~5.4%.
  • Marvell (MRVL) closed at $81.70, down ~2.8%.

Foundry and manufacturing supply chain pressure

  • Taiwan Semiconductor (TSM) closed at $276.96, down ~3.5%.
  • ASML (ASML) closed at $1,015.43, down ~5.6%.

US chip equipment: “capex sensitivity” showed up again

  • Applied Materials (AMAT) closed at $248.27, down ~4.0%.
  • Lam Research (LRCX) closed at $154.98, down ~5.1%.
  • KLA (KLAC) closed at $1,172.02, down ~4.1%.

Analog and “industrial/auto” semis were not spared

  • Texas Instruments (TXN) closed at $174.49, down ~1.7%4
  • Qualcomm (QCOM) closed at $172.34, down ~2.1%.
  • Analog Devices (ADI) closed at $271.04, down ~2.6%5
  • NXP Semiconductors (NXPI) closed at $223.23, down ~2.8%.
  • ON Semiconductor (ON) closed at $53.33, down ~2.2%.

Intel: down with the group, plus headlines

  • Intel (INTC) closed at $36.05, down ~3.3%.

Why semiconductor stocks fell today: AI infrastructure “funding math” is under the microscope

The most important driver wasn’t a single earnings report during market hours—it was a widening investor debate about how AI infrastructure gets financed, and what that means for chip demand durability.

A widely-circulated concern today: large, debt-heavy AI buildouts and the “middlemen” models used to acquire GPU capacity and lease data center infrastructure. MarketWatch pointed to growing unease around debt financing tied to AI expansion, with scrutiny spreading across firms linked to the data-center boom—and spilling into major chip names that are most sensitive to any slowdown in AI capex momentum. 3

Oracle’s data center funding headline mattered to chip investors—even though Oracle isn’t a chip stock

Oracle became a symbol today for the broader anxiety around AI infrastructure spending. Reuters reported that Oracle’s $10 billion Michigan data center project tied to AI buildout plans faced uncertainty after funding talks with Blue Owlbroke down, adding to investor questions about the pace and financing of massive AI projects. 6

That story hit the tape while chip stocks were already fragile, and it reinforced the market’s current sensitivity: any sign of friction in AI infrastructure funding can quickly translate into multiple compression for chip stocks—especially those priced for long-duration, high-growth data center demand.


Micron earnings flips the script after the bell: strong AI-memory demand, tighter supply outlook

While most of the semiconductor complex sold off in the regular session, the after-hours session shifted focus to Micron Technology (MU).

Regular session: Micron fell with the group

Micron ended the day at $225.52, down about 3.0% in the regular session.

After-hours: Micron jumped on results and big forward guidance

After the close, Micron reported results and issued guidance that multiple outlets characterized as well ahead of expectations. Reuters said Micron forecast quarterly revenue around $18.7 billion, well above analyst expectations, and pointed to strong pricing and demand for memory used in AI data centers—sending shares sharply higher in extended trading. 7

MarketWatch similarly highlighted the upside surprise and noted Micron’s outlook for gross margin around 67% (±1%)in the current quarter. 8

By early evening, quotes showed Micron up solidly in after-hours trading (for example, MarketWatch showed ~$239 in after-hours quotes around 5:00 p.m. ET, roughly +6% from the cash close). 9

What investors are taking from Micron tonight

Micron is acting like a “tell” for the AI hardware stack:

  • It supports the idea that AI demand is not only about GPUs—memory bandwidth and supply constraints can be a primary driver of the next leg of infrastructure spend. 10
  • Micron leadership signaled continued tightness and talked about constraints meeting customer demand over the medium term, while also increasing capex plans (per Reuters). 7
  • The market is increasingly treating HBM (high-bandwidth memory) as a critical supply bottleneck for AI servers, and Barron’s noted Micron positioning and bullish commentary around that theme. 11

In short: Micron’s print doesn’t automatically “fix” the chip selloff—but it is a direct counterpoint to the idea that AI hardware demand is rolling over.


Nvidia and the AI chip trade: competition headlines added pressure today

Nvidia remains the semiconductor market’s central character—so it’s not surprising that “competition and substitution” headlines are landing harder during a pullback.

Barron’s pointed to intensifying competition from multiple directions, including continued momentum in alternative AI chips and ecosystem efforts that could reduce switching costs away from Nvidia in certain workloads. 12

At the same time, Reuters reported Amazon is in talks around a potential multi-billion-dollar OpenAI investment that could include OpenAI using Amazon’s AI chips—another headline investors interpret as incremental validation that hyperscalers want meaningful alternatives to Nvidia GPUs for at least a portion of inference and training demand. 13

This doesn’t mean Nvidia’s demand story is “broken.” It does mean that in late 2025, the market is:

  • more willing to price in share-of-wallet pressure from custom silicon (Trainium/TPUs/ASICs), and
  • more sensitive to any catalyst that questions the slope of future GPU buildouts. 12

Intel headline risk: lawmakers criticize testing of China-linked tools

Intel traded lower with the sector, but today also brought a policy-driven headline.

Reuters reported that Republican lawmakers raised national security concerns after Intel evaluated chipmaking equipment from ACM Research, a U.S.-based firm with ties to China; Intel said it is not using the tools in production and emphasized compliance and cybersecurity protocols. 14

For Intel investors, the key issue isn’t just the news cycle—it’s that the company’s manufacturing roadmap is already a high-stakes narrative, and any additional political friction around tooling, suppliers, or export controls can add uncertainty to timelines and costs. 14


Forecasts and analyst outlook published today: Morgan Stanley’s 2026 semiconductor picks

Even on a down day, Wall Street’s forward-looking playbook kept coming out—especially around 2026.

A Morgan Stanley research note summary published today highlighted the firm’s top semiconductor stock picks for 2026, listing Nvidia (NVDA)Broadcom (AVGO), and Astera Labs (ALAB) as key ideas. The note also emphasized that while AI remains the core focus, the path forward likely includes periods of slower growth rather than a straight line upward. 15

Notably, the same summary indicated Morgan Stanley’s preferences across the broader semiconductor stack:

  • Micron (MU) as a preferred memory name on tight supply and AI demand,
  • optimism on parts of chip equipment such as Applied Materials (AMAT), and
  • continued relevance of foundry exposure such as TSM15

For SEO-minded investors tracking “semiconductor stock forecasts,” today’s practical takeaway is that top-down strategists are not abandoning AI semis—but they are getting more explicit about:

  • mix shifts (GPUs vs custom ASICs),
  • pricing power and supply constraints (especially memory),
  • and the capex funding environment that ultimately underwrites chip orders. 15

What to watch next: the catalysts that can move chip stocks tomorrow

With chip stocks sliding into the close and Micron spiking after hours, the next 24–48 hours set up a classic tug-of-war between macro rates and AI fundamentals.

Key items on investors’ radar include:

  1. Inflation data and rate expectations
    Reuters noted the market’s attention turning to upcoming inflation data and the interest-rate outlook—inputs that matter disproportionately to long-duration growth sectors like semiconductors. 16
  2. AI infrastructure financing headlines
    Oracle’s data-center funding story shows how quickly “financing friction” can ripple into the chip complex. Expect more sensitivity to similar headlines across hyperscalers, data center developers, and AI-cloud intermediaries. 6
  3. Micron follow-through
    After-hours is one thing; the real test is whether Micron’s guidance resets sentiment for the broader stack (memory + equipment + AI accelerators) in the next regular session. 7
  4. Competitive AI silicon narrative (Nvidia vs. custom chips)
    The market is actively repricing how much training and inference might shift toward custom accelerators—especially if mega-deals like Amazon/OpenAI progress. 13

Bottom line: semiconductors sold off hard—Micron just delivered a counter-signal

At 6:00 p.m. ET, the scoreboard reads like this:

  • Semiconductor stocks were among the market’s biggest losers in the regular session, with a steep drop in the SOX and sharp declines across Nvidia, AMD, Broadcom, and chip equipment makers. 2
  • Micron’s after-hours jump on strong results and aggressive guidance is the day’s most important bullish semiconductor development—and a reminder that, beneath the valuation shakeout, AI hardware demand (especially memory) is still throwing off powerful earnings signals. 7

This article is for informational purposes only and does not constitute investment advice.

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