Nvidia Stock News Today (November 29, 2025): AI Bubble Debate, Google TPU Threat and What $NVDA at $177 Really Means

After another wild month for artificial intelligence shares, Nvidia Corporation (NASDAQ: NVDA) goes into the final stretch of 2025 with its stock in a tug‑of‑war between spectacular fundamentals and mounting skepticism.

Nvidia just reported record quarterly revenue and remains the dominant supplier of AI accelerators. Yet fresh headlines about Meta exploring Google’s custom AI chips, short sellers invoking Enron, and a high‑profile debate over whether AI is in a bubble have pushed NVDA into a sharp November slump. ^[1]

This article rounds up the key Nvidia stock stories published on November 29, 2025 and what they mean for investors following NVDA.

Nvidia Stock Today: Price, Volume and the November Slump

As investors digest this week’s news, Nvidia shares are hovering in the high‑$170s.

A Smartkarma “Market Movers” note published on November 29 reports that Nvidia’s stock finished the latest session around $177, off roughly 1.8% on the day, on extremely heavy volume of about 121 million shares. Despite the pullback, the same report still shows Nvidia up about 34% year‑to‑date, a reminder of how far the stock has climbed in the AI boom. ^[2]

A separate analysis from 24/7 Wall St. highlights that Nvidia’s market value has surged roughly 1,000% over the past three years, briefly making it the world’s most valuable listed company with a capitalization around $4.3 trillion, before slipping about 16% from its late‑October peak near $212 per share. ^[3]

In other words: NVDA is simultaneously in a drawdown and still one of the greatest winners of the cycle—a combination that explains why the debate around the stock is so intense.

Meta–Google Chip Talks: A Direct Shot at Nvidia’s AI Dominance

One of the biggest overhangs on Nvidia stock this week comes from reports that Meta Platforms may spend billions on Google’s custom AI chips, potentially eating into Nvidia’s future data‑center revenue.

A Reuters report from November 25, heavily cited in today’s coverage, says Meta is in talks with Alphabet’s Google to: ^[4]

Rent Google Cloud TPUs as early as 2026, and
Buy TPUs for Meta’s own data centers starting in 2027, in a deal worth billions of dollars.

The report adds that some Google Cloud executives believe this strategy could ultimately capture up to 10% of Nvidia’s annual revenue, underscoring how serious Google is about challenging Nvidia’s near‑monopoly on AI accelerators. ^[5]

Coverage in Indian media today goes further, noting that the Meta–Google headlines helped wipe out roughly $250 billion from Nvidia’s market value earlier in the week, even as Alphabet’s stock hit record highs. ^[6]

Nvidia’s Official Response: “A Generation Ahead”

An Insider Monkey piece republished today focuses on Nvidia’s response and Bank of America’s take on the situation. According to that report: ^[7]

Bank of America reaffirmed its positive view on Nvidia, AMD and Broadcom despite the Google–Meta story, arguing that Nvidia will likely remain the dominant AI chip vendor.
The bank estimates Nvidia’s share of the AI accelerator market could slip from roughly 85% to about 75% as TPUs and competing GPUs gain traction—but still leaves Nvidia with commanding scale.

In the same article and in coverage from the Times of India, Nvidia stresses that it remains “a generation ahead” of rivals and is the only platform that can run essentially every major AI model across cloud, enterprise and edge computing. The company also contrasts the flexibility of its GPUs with application‑specific chips (ASICs), which are usually tuned to narrower workloads. ^[8]

Put simply: Google’s TPUs are now a credible alternative for giant customers like Meta, but Nvidia insists its ecosystem breadth, software stack and pace of innovation still make it the default choice for most AI compute.

Jensen Huang: Why AI Isn’t a Bubble

The other big narrative shaping Nvidia’s stock today comes straight from CEO Jensen Huang.

A widely shared Benzinga article published this morning recaps Huang’s comments at the 2025 U.S.–Saudi Investment Forum, where he was asked directly if AI is in a bubble. His answer is at the center of today’s “AI bubble” debate. ^[9]

Key points from Huang’s argument:

Moore’s Law has effectively plateaued. The historical doubling of transistor density every two years is no longer keeping up with demand. Huang frames this not as a temporary slowdown, but as a structural constraint that forces the world to adopt new computing paradigms. ^[10]
AI and accelerated computing are filling that gap. Because traditional CPUs can’t economically handle modern AI workloads, enterprises are reallocating real capital expenditure into GPU‑powered supercomputers. Huang stresses that this is not speculative capital; it’s money being spent today by banks, hospitals, factories and research labs. ^[11]
Three waves of computing. Huang describes three overlapping eras:
1. Data processing (core IT systems and databases),
2. Recommender systems (ranking your feeds, search results and shopping lists), and
3. A new wave of “agentic AI” — autonomous AI agents that act, not just predict. ^[12]

His message to investors worried about a 2000‑style dot‑com crash: AI isn’t just about hyped valuations; it’s about a global, multi‑trillion‑dollar rebuild of the computing stack that is already in motion and already generating revenue.

For Nvidia stock, that’s effectively the bull case in the CEO’s own words.

Fundamentals: Record Q3 FY 2026 and an Even Bigger Q4 on Deck

It’s hard to overstate how strong Nvidia’s latest quarter was.

In its Q3 fiscal 2026 earnings release on November 19, Nvidia reported: ^[13]

Record revenue of $57.0 billion, up 22% from Q2 and 62% year‑over‑year.
Data‑center revenue of $51.2 billion, up 25% quarter‑on‑quarter and 66% versus a year ago, driven by AI GPUs for cloud providers and hyperscalers.
GAAP and non‑GAAP EPS of $1.30 per diluted share.

The company guided for Q4 FY 2026 revenue of about $65 billion (plus or minus 2%), implying another step up in demand as shipments of its latest Blackwell and Rubin architectures scale. ^[14]

The same release highlights an almost dizzying list of partnerships and deployments, including: ^[15]

A strategic deal with OpenAI to deploy at least 10 gigawatts of Nvidia systems for its next‑generation AI infrastructure.
Expanded collaborations with Google Cloud, Microsoft, Oracle and xAI to build massive AI data centers around Nvidia GPUs.
New products such as Rubin CPX, BlueField‑4 and networking platforms like Spectrum‑X aimed at keeping Nvidia central to next‑gen “AI factories.”

A separate analysis syndicated via Finviz/Motley Fool today notes that despite Nvidia’s enormous scale—it is currently the largest company in the world by market cap—the firm is still growing like a younger high‑growth stock. That piece points out that: ^[16]

Data‑center revenue alone is bigger than many entire chip companies.
Management expects around $500 billion of combined Blackwell and Rubin sales between the start of 2025 and the end of 2026, suggesting revenue could roughly double again in the next couple of years if demand holds.
Nvidia trades at roughly 24× next year’s earnings, a lower forward P/E than Microsoft and Apple, which sit closer to the mid‑20s to 30× range, despite Nvidia’s faster growth.

Those numbers underpin why so many analysts still rate NVDA a buy even as the stock sells off.

Wall Street Mostly Bullish – But Red Flags Are Piling Up

Consensus Targets Point Well Above Today’s Price

According to Quiver Quantitative’s latest analyst roundup, 30 firms have issued buy or overweight ratings on Nvidia in recent months, with no outright sell ratings. Across 34 recent price targets, the median target is $250 per share, with some bullish estimates as high as $300. ^[17]

Finviz/Motley Fool’s breakdown published this morning tells a similar story: among 63 analysts tracked, the average one‑year target is “nearly $250”, and the vast majority rate Nvidia as either buy or strong buy. ^[18]

With NVDA trading around $177, that implies a bit over 40% upside if the average target proves accurate—though, of course, price targets are not guarantees.

Institutions Buying, Insiders Selling

A new MarketBeat piece today highlights that Swiss asset manager Longbow Finance SA has made Nvidia its single largest position, boosting its stake to about 492,800 shares (roughly $77.9 million) or 8.3% of the fund’s portfolio. The article also notes that roughly 65% of Nvidia’s shares are held by institutions and hedge funds. ^[19]

At the same time, both MarketBeat and Quiver Quant show heavy insider selling:

Over the past three months, corporate insiders have sold more than 3.1 million shares of NVDA, worth around $570 million, including sizable dispositions by director Harvey C. Jones and CEO Jensen Huang. ^[20]
Quiver Quant’s insider‑trading dashboard counts 526 insider transactions over the last six months, all of them sales, with zero reported open‑market buys. Huang alone has sold about 6 million shares in that period, and other senior executives have also trimmed positions. ^[21]

Insider selling doesn’t automatically mean the business is in trouble—executives often diversify after enormous gains—but the scale of the sales is one of the “red flags” skeptics highlight.

Short Sellers, Enron Analogies and Nvidia’s Rebuttal

Skeptical coverage has also intensified.

A Seeking Alpha article titled “Nvidia: Too Many Red Flags (Rating Downgrade)” argues that: ^[22]

AI spending could be near a cyclical peak.
Competitors like AMD, Google and Broadcom are gaining momentum.
Nvidia’s huge investments and financing links to customers such as CoreWeave raise questions about how much demand is “organic” versus “pulled forward.”

A detailed 24/7 Wall St. piece published on November 26 digs into accusations from short sellers such as Michael Burry and Jim Chanos, who have compared aspects of Nvidia’s growth to Enron and Lucent. They point to “circular” deals where Nvidia invests in AI infrastructure partners that then become major GPU customers, potentially inflating sales. ^[23]

Nvidia has responded aggressively:

The company circulated a seven‑page memo to analysts rejecting the idea that it relies on vendor financing to prop up revenue.
It emphasizes that customers typically pay invoices in about 53 days and that stakes in firms like CoreWeave are fully disclosed and represent normal strategic investments, not hidden loans. ^[24]

The 24/7 analysis ultimately concludes that while AI spending will slow at some point, the “Enron of AI” label looks exaggerated given Nvidia’s cash flow, accounting disclosures and dominant competitive position. ^[25]

Social Buzz, Export Policy Risk and Congressional Trades

Quiver Quant’s DiscussionTracker summary shows that Nvidia’s blowout Q3 has dominated financial chatter on X (Twitter): many posts highlight the 62% year‑over‑year revenue growth and CEO commentary about cloud GPUs being effectively sold out. ^[26]

But the same dataset flags two additional themes that are surfacing in today’s news flow: ^[27]

U.S. export policy
- Investors worry that stricter U.S. controls on advanced AI chip exports—especially to China and other sensitive markets—could crimp Nvidia’s growth.
- Some posts note that while certain restrictions may be easing elsewhere, the policy path remains uncertain and is likely to remain a headline risk into 2026.
Unusual trading by insiders and politicians
- Over the past six months, Nvidia insiders have only sold stock, as noted above.
- Members of the U.S. Congress, by contrast, have traded NVDA 61 times, with 54 of those trades being purchases, according to Quiver’s congressional‑trading dashboard. ^[28]

Taken together, social data paints a picture of a stock that is widely admired, heavily owned and deeply politicized—exactly the kind of setup where headlines can move the price quickly in either direction.

New Institutional and Retail‑Facing Coverage on November 29

Several other pieces out today add color for Nvidia watchers:

“Nvidia Corporation $NVDA is Longbow Finance SA’s Largest Position” (MarketBeat) – details Longbow’s stake, recent insider sales and reiterates that Wall Street’s consensus rating on Nvidia remains Buy, with an average target around $258 per share. ^[29]
“NVDA News Today, Nov 29: Jensen Huang’s AI Push Amid Stock Performance” (Meyka) – focuses on Huang’s push to embed AI deeply inside Nvidia itself, reportedly telling managers to embrace AI tools in their own workflows or reconsider their roles. ^[30]
“Should You Buy Nvidia Stock After It Notched 30% Gains in 2025? Wall Street Is Providing a Nearly Unanimous Answer” (via Finviz/Motley Fool) – argues that despite the recent correction, Nvidia’s growth and valuation still look reasonable compared with other mega‑caps, citing strong Q3 numbers and the analyst target spread mentioned above. ^[31]
Yahoo Finance video on “The three finalists for 2025 Company of the Year” – names Nvidia as one of three finalists alongside other mega‑cap tech leaders, underlining how central the company has become to the 2025 market narrative. ^[32]

These pieces reinforce the core tension: phenomenal business momentum versus growing concern about concentration risk, competition and valuation.

Is Nvidia Stock Still a Buy After the Pullback?

Whether NVDA is “still a buy” after its November slide is the question animating much of today’s coverage—and there is no single right answer. But the news on November 29 crystallizes the main arguments on both sides.

The Bull Case, in Today’s Headlines

Explosive fundamentals: Q3 FY 2026 revenue up 62% year‑over‑year to $57B, with data‑center revenue up 66% and guidance pointing higher still. ^[33]
Structural AI demand: Jensen Huang argues convincingly that AI and accelerated computing are solving a real, physics‑driven bottleneck, not just chasing hype. ^[34]
Deep ecosystem moat: Millions of developers rely on Nvidia’s CUDA stack, and hyperscalers from OpenAI to Microsoft and Google continue to design next‑gen infrastructure around Nvidia GPUs. ^[35]
Analyst and institutional support: Dozens of major brokerages rate the stock a buy, with median targets around $250 and large institutions like Longbow Finance increasing their stakes. ^[36]

The Bear (or Cautious) Case

Competition is finally real: Google’s TPUs, AMD’s high‑end accelerators and Broadcom’s custom chips are all gaining share, while Meta explores alternatives beyond Nvidia. ^[37]
Policy and concentration risk: A large portion of Nvidia’s growth is tied to a relatively small number of hyperscale customers and is exposed to U.S. export controls. ^[38]
Complex financing and customer deals: Short sellers and some analysts worry about circular financing arrangements with AI cloud providers, even though Nvidia has issued a detailed rebuttal. ^[39]
Insider behavior and valuation: Persistent insider selling, a trillion‑dollar‑plus market cap and earnings that—even if growing fast—must eventually normalize leave little room for error if AI spending slows. ^[40]

How to Use Today’s News as an Investor

None of today’s stories, taken alone, definitively say “buy” or “sell.” Instead, they sharpen the key questions you need to answer for yourself:

Time horizon: Are you investing for the next 6–12 months (where headlines and sentiment dominate) or for a 5‑ to 10‑year AI infrastructure cycle?
Risk tolerance: Can you handle a stock where short sellers invoke Enron while the CEO and most analysts talk about a multi‑trillion‑dollar opportunity?
View on competition: Do you believe Nvidia can maintain something like a 70–80% share of high‑end AI accelerators as TPUs and rival GPUs mature? ^[41]
Comfort with opacity: Are you okay investing in a company where some of the biggest debates—around export controls, vendor financing and long‑term AI spending—won’t be definitively resolved for years? ^[42]

If you decide Nvidia fits your thesis, many analysts argue that pullbacks like November’s have historically been opportunities in structurally strong growth stories. If you’re uneasy about the downside risks, today’s coverage also highlights plenty of reasons to be cautious.

Either way, remember that this article is for information only and is not financial advice. Consider speaking with a licensed financial adviser and matching any position in NVDA to your own goals, risk tolerance and time horizon.

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