NVIDIA is up again. And the most intriguing part is the awkward timing of the rise. Right after Jensen Huang refused to attend the US congressional hearing and was publicly named by a senator, NVIDIA's stock price rallied strongly on June 8, closing up nearly 1.8%.
This market seems abnormal, but it hides the most critical truth of this round of AI market.
Many are puzzled: being targeted by Congress, shouldn't it fall? Doesn't Huang's refusal to attend the hearing mean increased regulatory pressure? Why did the stock price rise instead of fall, and strongly recover?
This is the core we need to deeply dissect today: the focus of this round of NVIDIA's rebound has never been "whether Huang attends the hearing," but rather Wall Street declaring with real money: The AI market is not dead; funds are just shedding panic and returning to the industry mainline.
The hearing is a secondary issue, regulatory risks are market background noise, and the real mainline logic remains unchanged: AI demand persists, the chip industry chain is stable, and NVIDIA's industry leadership has not been shaken.
This sentence is crucial.
Most retail investors watching the market are easily swayed by news headlines. When they see "Huang refuses hearing," they immediately sense a bearish signal, alarm bells ring, believing regulation is coming and NVIDIA's market is cooling off.
But Wall Street's evaluation logic is completely different. The market doesn't care whether the news is scary; it only looks at three things: Will this news immediately affect orders? Will it directly impact profits? Will it cause cloud vendors to stop purchasing GPUs?
As long as the answer is "not for now," short-term funds will dare to flow back decisively.
Therefore, the real signal from the rebound K-line on June 8 is not "regulatory risk resolved," but: The market has temporarily confirmed that regulatory noise cannot overshadow the true fundamentals of AI.
I. Restoring the Full Picture: Regulation is a Gray Rhino, Not a Sudden Black Swan
The trigger of this wave was Senator Warren inviting Jensen Huang to attend the June 11 public hearing "AI and the American Dream." Huang did not accept the invitation and was subsequently publicly criticized and questioned by the senator.
Congress, AI industry, Chinese market, export controls, national security - these keywords together can easily plunge retail investors into panic. But the fact is: NVIDIA being under regulatory scrutiny is nothing new.
Over the past few years, US export controls on advanced AI chips have been continuously tightened. NVIDIA does not make ordinary consumer chips; it produces the core computing engine for the AI era, used in large model training, data center construction, cloud computing, and highly strategic in nature.
Such a leading company being consistently watched by US officials is an inevitable outcome.
The reason the market hasn't collapsed under the bearish pressure is key: This is a "gray rhino" risk that everyone had already anticipated, not a sudden black swan.
Regulatory risk has always existed; it's just been brought to the forefront again. And the stock price moving upward shows that capital cares more about the core issue: Has the real demand for AI been interrupted?
Currently, the answer is very clear: No.
Microsoft continues to spend heavily expanding AI data centers, Amazon expands AI cloud computing power, Google accelerates AI infrastructure deployment, Meta maintains high AI capital expenditure, plus OpenAI's ever-rising computing demand - the gap in AI computing power remains an insatiable monster.
As long as top cloud vendors keep placing orders, AI data centers keep expanding, and high-end GPUs remain the most scarce core asset, NVIDIA will not fall from the AI leadership throne over a hearing controversy.
Of course, this doesn't mean regulation is irrelevant. Regulation has long-term implications, but the capital market is extremely realistic: As long as there is no direct short-term impact on orders and earnings, funds will prioritize trading fundamentals, viewing political risks only as long-term concerns.
This is the core reason why NVIDIA was able to strongly fight back on June 8: not that regulatory risk disappeared, but that the AI mainline saw a recovery, chip stocks rebounded from oversold levels, and funds deemed the previous panic selling excessive.
The week before, the chip sector broadly declined and market sentiment was low. On June 8, the Philadelphia Semiconductor Index led the rebound, with NVIDIA rising in tandem. This indicates that funds never truly left the AI track; they were only temporarily scared off by factors like interest rates, valuations, regulation, and geopolitical risks. Once there was no new major negative news, they quickly returned to grab bargains.
II. The Underlying Logic of This Rebound: AI Market Enters Phase 2
The support behind NVIDIA's rise has never been Jensen Huang's personal popularity, but rather the transitional trend of the AI industry officially moving from Phase 1 to Phase 2.
The market logic in Phase 1 was simple: Whoever has GPUs profits.
As long as you are associated with AI computing power theme, NVIDIA, AMD, Broadcom, Marvel could all see market rallies, driven by themes and imagination.
But now the market logic has completely upgraded. The core question becomes: Who can make GPUs run at full capacity and make AI factories operate efficiently?
AI is not just about buying a few GPUs and plugging them into a server room to make a profit. An AI data center is a super computing factory. The GPU is the core engine, but no matter how powerful the engine, it needs a complete supporting system.
And the most likely bottlenecks and highest-growth areas in AI Phase 2 all fall within infrastructure supporting systems:
High Bandwidth Memory (HBM), advanced packaging, optical communications, data center power, cooling systems, network interconnect switches.
This is why Huang has recently emphasized "AI factories" and NVIDIA actively cooperates deeply with memory giants like SK Hynix. The next phase of AI competition will no longer be just "who sells more GPUs," but who can lock in the complete AI supply chain and master a full set of computing infrastructure solutions.
NVIDIA's positioning has thus been completely upgraded: from a simple "chip seller" to an "AI infrastructure general contractor."
To build AI data centers, train large models, set up high-speed computing networks, and match software ecosystems, the market almost only recognizes NVIDIA. The completeness of CUDA ecosystem, hardware support, and solutions makes it very difficult for customers to switch once onboard.
This is like the Apple ecosystem: once users are accustomed to the full suite, the switching cost is extremely high. NVIDIA's AI ecosystem is similar; customers never buy just a chip, but a full toolchain, a full computing system, a full industry ecosystem.
This is also why the stock price could rebound despite regulatory bearishness: The market sees that NVIDIA's industry position has not only not weakened, but has strengthened and become the absolute core of the AI industry.
III. Three Major Risks You Must Face: Don't Get Dizzy by the Rebound
The AI mainline recovery and NVIDIA's strong fightback don't mean you can blindly chase highs. The market is best at harvesting two types of retail investors: those who panic sell on bearish drops, and those who go all-in on rebound surges. Understand the logic of the rise, but also clearly see the hidden risks.
Currently, NVIDIA has three major core risks, keep them in mind:
1. Regulatory Risk Never Disappeared, Just Temporarily Hidden
Huang not attending the hearing doesn't mean Congress won't continue to track or that regulation won't escalate. In fact, it might lead to stricter subsequent regulatory discussions.
The US logic on export controls for advanced AI chips is very clear: corporate profits are one thing, technology export security is another. NVIDIA is caught between global customer demand and US policy regulation, and will face ongoing dual pressures, a long-term concern that cannot be eradicated.
2. Valuation is High, Error Tolerance is Extremely Low
NVIDIA has extremely strong fundamentals and an irreplaceable industry position, but this is already consensus across the market. When all investors are bullish on a company, the stock price has already heavily discounted expectations.
Future earnings "meeting expectations" will be seen as flat, "slightly beating" may not support the stock price, and only "explosive growth" can sustain the rally. As soon as there is a earnings guidance miss, margin decline, or supply chain hiccup, high valuations will face correction pressure.
An ordinary company scoring 80 points can get market approval; if NVIDIA scores 98, the market will question the remaining 2-point gap. That's the price of being a high-valuation leader.
3. AI Market Continues to Differentiate, Pure Theme Stocks Gradually Fade
Phase 1 of AI was a broad rally: anything related to the theme could be played. Phase 2 is a structural market: the market only recognizes "real orders, real revenue, real profits, real cash flow."
Stocks with just stories and no earnings support will gradually be marginalized. What can truly continue to strengthen are the core links that bottleneck AI infrastructure.
Funds will also diversify from simply chasing GPU leaders to HBM storage, advanced packaging, optical communications, data center power, cooling infrastructure, and other niche tracks.
IV. Simple Observation Framework for Retail Investors: Four Ways to Judge AI Market Strength
Don't be swayed by news headlines. Master these four core indicators to objectively understand the AI mainline trend:
First, watch if NVIDIA's trend can stabilize. Don't look at single-day ups and downs; see if it can continuously digest regulatory noise and hold its uptrend. A quick drop after a single-day rebound indicates lack of market confidence; stabilizing with consolidation and rising lows is true repair.
Second, watch the semiconductor sector correlation. A rally driven only by NVIDIA alone is unhealthy. It must be accompanied by collective recovery in the Philadelphia Semiconductor Index, memory chips, AI network chips, and advanced packaging sectors for it to be a real signal of fund return to the AI mainline.
Third, watch cloud vendor capital expenditure. As long as Microsoft, Google, Amazon, and Meta continue to spend heavily on data center expansion and maintain AI computing investment, the AI mainline won't easily fizzle. NVIDIA's strongest moat is never retail investor faith, but real orders from top-tier customers.
Fourth, watch if regulatory substantive restrictions land. Verbal inquiries, hearings, public criticism - the market can absorb these. However, once export rules tighten, product sales are restricted, or other substantive policies emerge, you must reassess industry valuation and market logic.
V. Final Summary: AI Mainline Not Dead, but Chasing Highs Must Have Discipline
Back to the core question: Why did NVIDIA still rise despite Huang refusing the hearing?
The answer is straightforward: The market currently believes more in real AI demand than short-term regulatory noise; NVIDIA's leading position in AI infrastructure is irreplaceable; after chip stocks were oversold, funds came in for a recovery rally; the infrastructure logic of AI Phase 2 continues to strengthen.
The real significance of the June 8 fightback is never "regulation doesn't matter," but the AI mainline forcefully restarted amid noise. Congress can create pressure, but as long as orders are ongoing, demand remains unmet, and data centers continue to expand, NVIDIA's core investment logic will not collapse.
But remember: A big rise is never a get-out-of-jail-free card; it's just a trend signal the market is sending.
NVIDIA remains the most core leader in the AI era, hard to replace in the short term, but it is no longer in the stage of bargain buying. It is a super leader with high quality, high valuation, high attention, and high volatility. Suitable for trend following, batch allocation, and buying on dips, absolutely not suitable for going all-in on a single green candle.
Investing is not about star worship. You can acknowledge a company's strength and admire its industry vision, but when buying stocks, always consider price, risk, and position discipline.
Going forward, closely watch three key signals: Can NVIDIA stabilize its trend? Can AI infrastructure segments rotate and follow up? Will US regulation land substantive restrictions?
If all three lines improve together, the AI market rally can be expected to continue; once they weaken, don't stubbornly hold and don't use faith to fight market trends.
