Why Are AI Deals Driving Tech Stocks Higher?

TL;DR

AI investment and revised partnerships pushed major technology stocks higher, while lower Treasury yields supported the broader market. Microsoft secured continued access to OpenAI models and intellectual property through 2032, but investors still face questions about infrastructure capacity, rising debt, tight credit spreads, export controls, immigration policy, and whether AI spending will produce sufficient returns.

Transcript

YOU TALKED ABOUT THE END OR NOT OF MORRIS’S LAW BUT THE NEED TO SCALE TO MEET DEMAND. WAS THAT YOU SAYING WE ARE NOT IN AN A.I. BUBBLE? JENSEN: I DON’T BELIEVE WE’RE IN AN A.I. BUBBLE. THE REASON IS WE’RE GOING THROUGH A FROM AN OLD COMPUTING MODEL. WE ALSO KNOW THAT A.I. HAS BECOME GOOD ENOUGH BECAUSE OF RESEARCH ABILITIES, ITS ABILITY TO THINK, I... Read More

Key Insights

• Jensen Huang’s rejection of an AI bubble is based on a transition away from an older computing model and on AI systems becoming useful enough that companies willingly pay for generated intelligence, research capabilities, and coding services.
• Microsoft’s revised OpenAI agreement preserves access to OpenAI models and intellectual property rights through 2032, reducing the risk that Copilot products will face a model disruption while Microsoft works on developing its own frontier capabilities.
• OpenAI’s infrastructure needs exceed Microsoft’s available capacity, which explains why OpenAI has also worked with Oracle. The unresolved market question is whether OpenAI could eventually approach Amazon Web Services, an area where the discussion noted no comparable growth spike yet.
• Nvidia’s Nokia partnership targets telecommunications infrastructure and the development of technology based on accelerated computing and AI. Jensen Huang described Nokia as the world’s second-largest telecommunications equipment maker and presented the partnership as supporting American leadership in the coming 6G transition.
• Federal engagement with AI is necessary, according to Representative Sam Liccardo, because government has previously lagged on data privacy, social media policy, and other technology issues. He also argued that government agencies should use AI to become more responsive to citizens.
• Openness is central to technological innovation, according to Liccardo, because competitive economies need access to people, markets, technology, and ideas. He warned that restrictions involving universities, immigration, tariffs, and H-1B visas could undermine Silicon Valley and the broader innovation economy.
• Export controls require a balance between national security and global technology adoption. Liccardo accepted restrictions involving the most advanced chips but argued that some controls should be relaxed so American AI technology remains widely used instead of being displaced by Huawei or other competitors.
• AI-related credit requires company-specific scrutiny because substantial investment is increasingly being financed through debt markets. With credit spreads described as priced to perfection, investors may need to underweight sectors that have advanced too far and diversify toward financial credits that have historically been more resilient.

Questions & Answers

Q: Why did AI deals push technology stocks higher?

Technology stocks rose because investors received several signals that AI investment and commercial adoption were continuing. Nvidia took an equity stake in Nokia, Microsoft revised its partnership with OpenAI, Sequoia led another AI investment, and the United States government backed an $80 billion nuclear reactor buildout by Westinghouse. Jensen Huang also said the AI industry was only getting started, reinforcing market enthusiasm.

Q: What does Microsoft’s revised OpenAI agreement provide?

Microsoft retained OpenAI intellectual property rights and secured access to OpenAI models through 2032, according to the discussion. That access matters because Microsoft’s various Copilot products primarily run on OpenAI models, while Microsoft does not yet have its own leading frontier model. The arrangement reduces the possibility of a model disruption in products Microsoft is already selling to customers.

Q: Why can OpenAI use infrastructure outside Microsoft?

OpenAI can seek outside infrastructure because Microsoft does not have enough capacity to satisfy all of OpenAI’s computing needs. The discussion noted that OpenAI began on Microsoft’s platform and later worked with Oracle. This flexibility was not viewed as inherently troublesome, but it raised a significant question about whether OpenAI might eventually approach Amazon Web Services for additional capacity.

Q: Why does Jensen Huang believe AI is not a bubble?

Jensen Huang argued that the economy is moving away from an older computing model and that AI has become useful enough to justify paid demand. He cited research, reasoning, token generation, and coding applications as capabilities customers value. Nvidia itself pays for multiple AI models and services, including coding tools, which he presented as evidence of genuine commercial utility rather than purely speculative interest.

Q: What is the purpose of Nvidia’s partnership with Nokia?

Nvidia’s partnership with Nokia is intended to combine telecommunications infrastructure with accelerated computing and AI. Jensen Huang described Nokia as the second-largest telecommunications equipment maker in the world and telecommunications as a $3 trillion industry. He framed the collaboration as an opportunity to build new technology and place the United States at the center of the next 6G revolution.

Q: How should the United States approach AI export controls?

Representative Sam Liccardo argued for a more forward-leaning trade policy while acknowledging legitimate national security concerns about allowing China to use the most advanced Blackwell chips. He supported relaxing some export restrictions within reason so American technology can remain globally adopted. His concern was that replacing Nvidia products with Huawei technology in China and elsewhere could create a larger security problem.

Q: Why are H-1B visas important to the technology sector?

H-1B visas are important because the technology sector relies heavily on foreign-born founders and skilled workers. Liccardo said about half of venture-funded technology startups are led by a foreign-born founder. He supported reforms that prevent exploitation and make visas portable, but argued that reducing immigration would damage universities, research centers, startups, and the country’s ability to attract leading talent.

Q: What risks does AI borrowing create for bond investors?

AI borrowing creates risks because companies are increasingly using debt markets to finance a massive infrastructure buildout while credit spreads already reflect very optimistic expectations. The fixed-income manager said outcomes will depend on each company and its investment plans. A cautious approach may include underweighting sectors that have advanced too far and balancing exposure with financial credits that have been more resilient in similar economic cycles.

Summary & Key Takeaways

• Technology stocks led the market higher as AI remained the dominant investment theme. Nvidia announced an equity investment in Nokia, Microsoft revised its OpenAI partnership, and the United States government backed a nuclear reactor buildout. Jensen Huang argued that paid demand for useful AI services shows the industry is still beginning.

• Microsoft’s revised agreement provides continued access to OpenAI models and intellectual property rights through 2032, supporting Copilot products that primarily use those models. OpenAI can seek infrastructure beyond Microsoft because Microsoft lacks enough capacity for all its needs, raising questions about whether Amazon Web Services could eventually benefit.

• Policy and financing risks complicate the AI expansion. Representative Sam Liccardo supported government engagement, greater technology openness, selective relaxation of export restrictions, and more skilled immigration. A fixed-income manager warned that AI-related borrowing and tightly priced credit spreads require company-specific analysis, caution, and possible diversification into more resilient financial credits.