Wall Street reacted to the AI boom’s dual impact: soaring demand for chips, exemplified by Micron’s strong earnings, yet rising infrastructure costs for hyperscalers. Tech stocks, including semiconductors, saw declines amid concerns about funding and supply chain bottlenecks. Conversely, falling oil prices boosted economically sensitive sectors like industrials and healthcare, helping the Dow Jones Industrial Average. The market grappled with distinguishing AI beneficiaries from those absorbing its escalating expenses.

The AI boom is causing a severe memory chip shortage, forcing tech companies to raise prices or redesign products. Startups like Mono Technologies face existential crises, while giants like Apple and Microsoft are passing costs to consumers. Memory chip makers like Micron are beneficiaries, experiencing huge revenue and profit growth. The escalating costs impact diverse industries, prompting calls for government intervention.

Alphabet’s custom-designed TPUs are bolstering Google’s AI capabilities and fueling its cloud dominance. These proprietary chips power Gemini and offer significant cost advantages over competitors like Nvidia’s GPUs, making them attractive to AI startups and enterprises. This strategic hardware development positions Alphabet as a formidable player in AI infrastructure, driving strong growth in its cloud division and beyond.

The AI boom is driving massive demand for GE Vernova’s industrial gas turbines, essential for powering energy-intensive data centers. The company is rapidly expanding production and hiring to meet unprecedented orders from hyperscalers like Microsoft and Google. These turbines, capable of powering hundreds of thousands of homes, are crucial for AI infrastructure, leading to substantial price increases and a booked order book through 2029.

Oracle’s stock has plummeted, facing its worst downturn in 25 years due to investor concerns over its substantial debt and AI investments, particularly for OpenAI. The company is aggressively expanding data centers, incurring significant debt to meet AI infrastructure demand. Despite a sell-off in software equities, most financial firms maintain a positive outlook on Oracle, though financing and equity issuance remain key investor debates. Oracle also announced workforce reductions.

Zhipu’s GLM 5.2, an open-source AI model, is disrupting the field by outperforming previous releases and rivaling Anthropic’s Opus 4.8 on agentic tasks. Its affordability and robust capabilities in planning and coding are attracting significant developer interest and offer enterprises a cost-effective solution for complex workflows. This development democratizes access to cutting-edge AI and puts pressure on proprietary model providers, offering a more stable alternative amidst regulatory scrutiny.

The U.S. government has granted Anthropic provisional approval to release its Mythos 5 AI model to a select group of companies and federal agencies. This decision follows a two-week impasse over export controls related to national security. The phased rollout, confirmed by the Department of Commerce, allows trusted partners access to Mythos 5, while Fable 5 remains under further evaluation. This development occurs amid broader discussions on AI innovation and safety, with competitors like OpenAI also implementing controlled releases of new models. Anthropic is also engaged in ongoing legal action against the Department of Defense’s prior designation of its models as a supply chain risk.

Veteran investor Jeremy Grantham views Bitcoin as a “useless, speculative” mechanism that will gradually become obsolete. He argues it lacks intrinsic value, has not outperformed in bull markets, and has no practical utility beyond illicit transactions. Grantham contrasts Bitcoin’s volatility with gold’s consistent long-term returns, predicting Bitcoin’s value will dwindle slowly rather than collapse suddenly.

OpenAI’s IPO is reportedly delayed, with no investor meetings scheduled. While a confidential filing signals intent, a public debut might be as late as 2027. CEO Sam Altman emphasizes business and technology development over immediate public listing. This cautious approach aims to ensure a strong financial narrative for investors in a dynamic tech IPO market, mirroring moves by competitor Anthropic.

ON Semiconductor’s CEO defended a major acquisition of Synaptics, aiming to capitalize on a projected $30 billion “physical AI” market. Despite investor skepticism and a stock sell-off, the company believes the deal will expand its addressable market to $243 billion by 2030, enhancing its edge AI capabilities for applications like autonomous vehicles and robotics. The CEO emphasized the strong complementary nature of the businesses and the continued robust performance of its core operations.