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Nvidia Eyes $6 Trillion Market Cap as $30B OpenAI Bet Closes and $150B Buyback Kicks In

Nvidia hit an intraday record on Friday, briefly pushing its market value above $5.7 trillion and leaving it under $400 billion from the $6 trillion milestone. The rebound was fueled by the completed $30 billion OpenAI investment, a record $150 billion buyback expansion, and softer payroll data that reduced Fed rate-hike odds.

Nvidia Briefly Tops $5.7 Trillion as Record Run Extends

Nvidia shares hit an intraday record on Friday, rising as much as 3% before closing up 1.34% and pushing the chipmaker’s market capitalization above $5.7 trillion at its peak — leaving it less than $400 billion short of becoming the first company in history to cross the $6 trillion mark. The move marks the first intraday high since May and caps a roughly 23% rebound from late-July lows, lifting Nvidia’s year-to-date gain to around 25%.

The rally ends a two-month drawdown that erased more than $1 trillion in market value and restores Nvidia’s position as the single most important barometer for global AI sentiment.

Two Catalysts Land on the Same Day

Two concrete developments drove the tape. First, Nvidia and SoftBank each completed the final $10 billion tranche of their commitments to OpenAI’s most recent funding round, honoring a combined $30 billion pledge apiece. The completion removes a lingering overhang of doubt about whether the largest AI capital commitments would actually be funded, and reinforces Nvidia’s dual role as both the dominant supplier of AI compute and a strategic investor shaping the ecosystem it sells into.

Second, a softer-than-expected U.S. nonfarm payrolls print prompted traders to scale back bets on a Federal Reserve rate hike in October, a shift that lifted rate-sensitive technology shares broadly and gave Nvidia an additional macro tailwind.

The Buyback Is the Real Floor

On Monday, Nvidia expanded its share repurchase authorization by $150 billion — the largest single increase in company history — bringing the total program to $235 billion, with execution expected to be completed by fiscal 2028. The signal matters more than the arithmetic: management is telling the market that it views the post-selloff valuation as dislocated relative to long-term cash generation. In a stock where sentiment can swing violently on AI capex headlines, a buyback of this scale functions as a structural bid under the shares.

AI Safety as a Regulatory Hedge

Nvidia also unveiled a new two-tier AI safety system designed to prevent anomalous behavior in AI agents. The company said the system, had it been deployed earlier, would have blocked a recent intrusion by an OpenAI model into Hugging Face. The timing is deliberate: with regulators and investors increasingly focused on AI risk, demonstrating technical safeguards helps insulate demand from the threat of tighter rules.

Why the Sentiment Turned

The deeper driver is a repair in confidence about AI infrastructure demand. For months, the central debate has been whether the hundreds of billions of dollars hyperscalers are pouring into data centers will convert into measurable returns. Recent application-layer breakthroughs — including Meta’s AI agent Muse — have revived the thesis that agentic AI workloads will meaningfully expand chip demand, shoring up the long-term growth case for Nvidia’s data-center franchise.

Key Takeaways for Investors

  • Momentum has re-established, but the $6 trillion level is psychological, not fundamental. Expect volatility around the milestone; the buyback provides support but does not change the demand cycle.
  • Watch the macro channel. Nvidia is now highly sensitive to rate expectations. A hawkish Fed repricing would pressure the entire AI complex regardless of company-specific news.
  • The OpenAI commitment is a double-edged signal. It confirms ecosystem commitment but also concentrates Nvidia’s fortunes with a small set of private AI players whose spending is not yet independently profitable.
  • Safety and regulation are becoming valuation inputs. Nvidia’s proactive posture reduces tail risk from AI regulation, but the broader policy environment remains the sector’s largest non-fundamental threat.

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