AI Spending

OpenAI dominates early AI spending in the U.S. Congress, with ChatGPT accounting for 88% of identifiable AI expenditures by House offices. This spending pattern highlights the competition among AI firms to influence regulation. Lawmakers use AI for summarizing legislation, drafting memos, and constituent communication. While Democrats show higher AI adoption, concerns about risks persist. The full scope of AI investment is unclear, as free tools and integrated AI functionalities are not captured. OpenAI’s early lead stems from initial training and widespread recognition, while competitors like Anthropic are increasing lobbying efforts. The choice of AI models warrants scrutiny to ensure taxpayer money is used effectively for the best tools.

Alphabet and Tesla shares dropped as both tech giants announced significant increases in AI-related capital expenditures. Investors are concerned about the mounting costs and their impact on profitability and competitive advantage, despite management reassurances and some positive segmental results like Google Cloud’s revenue surge.

Concerns over AI spending triggered a tech sector pullback, impacting chipmakers and briefly seeing Apple regain market cap leadership from Nvidia. Apple’s resurgence follows an HSBC upgrade, citing its new AI platform and strategic partnerships as drivers for an upgrade cycle without massive capital expenditure. Investors are also watching Intel’s earnings, with a bullish outlook despite recent stock declines.

Payment software company Ramp has secured $750 million in funding, valuing it at $44 billion. The company helps businesses manage escalating AI expenses by optimizing spending on AI models and “tokens.” CEO Eric Glyman highlights that many CFOs are unprepared for these costs, and Ramp’s platform assists in routing tasks to more cost-effective AI solutions, demonstrating revenue growth for clients who prioritize efficient AI adoption.

Alphabet exceeded Q4 expectations, but a massive AI infrastructure spending plan overshadowed results. The company projects $175-185 billion in capital expenditures for 2026, significantly more than competitors, signaling an aggressive push for AI compute. Despite strong cloud growth and AI advancements like Gemini’s user expansion, investors reacted cautiously to the substantial investment required to meet surging AI demand.

Japanese tech stocks tumbled, led by SoftBank, mirroring Wall Street’s AI spending concerns. Oracle’s financing issues and broader doubts about AI infrastructure investment fueled the sell-off. Despite Japan’s strong semiconductor exports, its tech firms, crucial to AI hardware, are sensitive to U.S. market sentiment. While other Asian tech giants saw less impact, the Nikkei closed significantly lower.

Wall Street rebounded on Friday after early AI concerns, fueled by dovish signals from the Federal Reserve hinting at potential rate cuts. Home Depot and Eli Lilly saw significant gains, with Lilly achieving a $1 trillion market cap. Global factors, including Japan’s inflation and yen carry trade, added complexity. HSBC downgraded Palo Alto Networks despite solid performance, citing decelerating sales growth, yet CNBC maintains a buy rating due to the company’s “platformization” strategy and acquisition aptitude. Upcoming week’s economic data, including retail sales and CPI, will be pivotal.

Bitcoin fell below $95,000 amid a wider market pullback driven by AI spending concerns, mirroring a decline in tech stocks and highlighting growing interconnectivity. The sell-off, impacting crypto-linked stocks as well, reflects broader economic anxieties and deleveraging. Animoca Brands’ Yat Siu suggests institutional investors, unlike previous Bitcoin enthusiasts, may see this correction as a buying opportunity, potentially altering historical price cycle patterns and providing a buffer against downturns. They are less likely to expect a drop to $60,000.

Meta Platforms’ stock plummeted despite a strong earnings report, triggered by investor apprehension over escalating AI spending. The company revised its 2025 capital expenditure forecast upwards to $70-72 billion, signaling an intensified pursuit of advanced AI technologies. CEO Zuckerberg defended the aggressive investment, emphasizing early returns and Meta’s ambition to build capacity for “superintelligence.” The increased spending reflects a broader industry trend, with Alphabet and Microsoft also increasing their capital expenditure projections. Meta invested heavily in AI startup Scale AI, and secured new cloud computing agreements. A $15.93 billion tax charge also impacted earnings.