Nvidia Loses $200 Billion in Hours as Meta Eyes Google’s AI Chips – What Happens Next?

 The Beginning of the End for Nvidia’s AI Monopoly? Google TPU Deal with Meta Explained

Nvidia Asserts It Remains “A Generation Ahead” asGoogle-Meta AI Chip Deal Rumders Shake Markets

Nvidia, the world’s most valuable publicly traded company, has pushed back strongly against growing speculation that its near-monopoly on high-performance artificial intelligence (AI) accelerators is under serious threat, declaring itself “a generation ahead” of all competitors.

The statement came after Nvidia’s share price dropped almost 6% on Tuesday 26 November 2025, wiping roughly $180–200 billion off its market capitalisation in a single session. The sell-off was triggered by a Bloomberg report claiming that Meta Platforms is in advanced talks to spend tens of billions of dollars on Google’s in-house Tensor Processing Units (TPUs) to power large-scale AI training and inference in its data centres.

Nvidia Fires Back on X

In a rare same-day public rebuttal posted on X (formerly Twitter), Nvidia wrote:

“Only Nvidia runs every AI model and does it everywhere computing is done — data center, cloud, PC, workstations, and even cars. We are a generation ahead in performance, software, and ecosystem.”

The post quickly garnered millions of views and was widely interpreted as a direct response to the Google-Meta rumours.

Google, for its part, issued a measured statement emphasising cooperation rather than confrontation:

“We remain committed to supporting both our own TPU infrastructure as well as continuing our long-standing partnership with Nvidia GPUs across Google Cloud.”

Why This Matters: Nvidia’s Extraordinary Dominance

Nvidia’s GPUs (particularly the H100, H200, and new Blackwell-series B200 and GB200) have become the de-facto standard for training and running today’s frontier AI models, including OpenAI’s GPT series, Anthropic’s Claude, xAI’s Grok, Meta’s Llama family, and Google’s own Gemini.

In October 2025, Nvidia briefly became the first company in history to surpass a $5 trillion market capitalisation — greater than the combined value of Apple, Microsoft, and Amazon at certain points this year.

The company has aggressively expanded beyond its traditional gaming and data-centre markets:

• In October, Nvidia signed major sovereign AI deals with the South Korean government and conglomerates Samsung, LG, and Hyundai.
• It launched the DGX Cloud service with partners such as CoreWeave, Lambda, and Crusoe to offer instant access to Nvidia-powered infrastructure.
• The new Blackwell platform promises up to 4× better training performance and 30× better inference efficiency than the previous Hopper generation.

Google’s TPU Push and the Meta Rumours

Unlike Nvidia, Google has never sold its TPUs on the open market. The chips are available only by renting Google Cloud instances. This “closed” strategy has limited their adoption outside of Google’s own vast data-centre empire.

If the Bloomberg report proves accurate and Google begins selling or leasing TPU clusters to third parties such as Meta at massive scale, it would mark a dramatic strategic shift and the strongest challenge yet to Nvidia’s dominance.

Other hyperscalers are also racing to reduce dependency on Nvidia:

• Amazon has scaled production of its Trainium2 and Inferentia2 chips and claims cost advantages for certain workloads.
• Microsoft is deploying millions of its in-house Maia 100/200 accelerators.
• Smaller players such as Groq, Cerebras, SambaNova, and Tenstorrent are gaining traction with innovative architectures.

Expert Reaction: “Healthy for the Market”

Dame Wendy Hall, Regius Professor of Computer Science at the University of Southampton and co-chair of the UK government’s AI Council, told BBC Radio 4’s Today programme:

“This is actually very healthy competition. Right now almost all of the return on the hundreds of billions being invested in AI infrastructure is flowing to a single company — Nvidia. Broader competition on both cost and performance will accelerate innovation and ultimately benefit the entire industry.”

Market Snapshot (as of 28 November 2025 close)

Company	Ticker	Market Cap	1-Day Change (26 Nov)	YTD Performance
Nvidia	NVDA	≈ $4.8T	−5.8%	+165%
Alphabet	GOOGL	≈ $2.4T	+5.6%	+48%
Meta	META	≈ $1.6T	+2.1%	+72%
Amazon	AMZN	≈ $2.1T	+1.8%	+56%
Microsoft	MSFT	≈ $3.3T	+0.9%	+38%

What Happens Next?

Analysts expect concrete announcements about Google–Meta TPU procurement (or lack thereof) before the end of 2025 or at Google Cloud Next in early 2026. Meanwhile, Nvidia’s Blackwell ramp is widely seen as sold out through most of 2026, giving the company continued pricing power in the short term.

For now, Nvidia insists its full-stack advantage — CUDA software ecosystem, networking (NVLink, InfiniBand/Quantum-2), and unmatched performance per watt on large language models — remains unassailable.

Whether that remains true as Google, Amazon, Microsoft, and a wave of well-funded startups bring custom silicon to market in 2026–2027 will be one of the defining technology stories of the decade.