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Nvidia’s Agentic AI Push Sparks Fresh Rally in Crypto AI Tokens

Published 17 March 2026
Alex Shilina
Authors
Edited by Insha Zia
Key Takeaways
  • Nvidia CEO Jensen Huang used GTC 2026 to push a future shaped by inference and autonomous AI agents, while raising Nvidia’s AI hardware opportunity forecast to at least $1 trillion through 2027.
  • AI-linked and AI-adjacent crypto tokens, including TAO, FET, NEAR and WLD, moved higher after the keynote.
  • The move revived a trade that has been waiting for a stronger mainstream AI catalyst.

Crypto’s AI token sector found fresh energy on Monday after Nvidia CEO Jensen Huang used the company’s GTC conference to sketch a larger future for inference computing and agentic AI.

Traders moved quickly into tokens tied to the theme, sending several AI-linked names higher as the market absorbed Nvidia’s new vision for the next phase of artificial intelligence.

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Nvidia’s Keynote Gave Traders a Fresh AI Narrative

Huang’s presentation leaned heavily into the idea that AI is moving beyond the training boom and into a new phase centered on deployment, inference and agents.

Nvidia introduced a new Vera CPU, a Groq-based AI system for inference, and NemoClaw technology aimed at supporting autonomous AI agents in enterprise settings.

Agentic AI” has become one of the most magnetic narratives in tech this year, and markets tend to respond quickly when a company as central to the AI stack as Nvidia gives that theme a stronger commercial frame.

Huang did exactly that by pairing agent talk with a much larger infrastructure forecast and a product roadmap built around inference workloads.

Crypto has spent the past year trying to build its own version of that story. Monday’s move fit that pattern.

At Least $1 Trillion in Revenue

At the center of Huang’s keynote was a dramatic expansion in Nvidia’s outlook.

Nvidia now sees at least $1 trillion in AI chip revenue opportunity through 2027, up from the company’s earlier $500 billion forecast through 2026.

Huang also described the current moment as an “inference inflection,” signaling a shift toward systems that generate outputs, respond in real time and increasingly operate as autonomous agents.

Bittensor was among the clearest beneficiaries.

CoinGecko data shows TAO rose 14.1% on Mar. 16. Render also edged higher, rising about 0.1% on the day after stronger gains earlier in the week.

FET, tied to the Artificial Superintelligence Alliance and its decentralized AI and autonomous-agent narrative, climbed about 13.3% to around $0.24.

NEAR, the token behind the NEAR blockchain, rose roughly 10.6% to $1.46. WLD, linked to Worldcoin’s identity network co-founded by OpenAI CEO Sam Altman, added about 8.3% to trade near $0.40.

GRASS, associated with a decentralized data-sourcing network for AI, also moved higher as momentum spread across the sector.

Nvidia Lit the Fuse. Crypto Ran With It.

Nvidia shares moved only modestly after the keynote, even after briefly rising on Huang’s expanded forecast.

Equity investors appeared more measured, weighing the stronger AI outlook against competition and the company’s already elevated expectations.

Crypto reacted much faster.

That split captures the character of the trade.

Public equities usually respond to execution, margins and evidence.

Crypto is quicker to move on momentum, narrative and thematic alignment. Huang’s keynote delivered all three.

For crypto’s AI-linked tokens, that was enough to bring the trade back to life.

Alex Shilina

PhD, researcher and writer exploring AI, blockchain, and the philosophy of tech, with a focus on DeScAI, governance, and trust.

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