The US bull market is approaching its four-year anniversary on October 12, powered by heavy AI spending that continues to lift corporate profits and investor optimism. The S&P 500 sits near record highs, and Oxford Economics estimates about one-third of recent US economic growth now comes from AI. S&P 500 earnings are expected to rise over 35% this year, helped by hyperscaler capital spending on data centers. Anthony Saglimbene of Ameriprise says AI is the defining feature of this run, but warns that weakness in the trend could lead to severe market punishment.
AI infrastructure demand is reshaping global trade and logistics in measurable ways. Semiconductors and data transmission equipment accounted for 42% of goods trade growth in 2025, climbing to 76% in the first quarter. More than 2,000 new data centers are expected globally between 2026 and 2035, and server costs have surged from $100,000 to as much as $3 million each. The AI buildout in the US has fueled import growth that would otherwise have declined by 10%.
On the corporate side, several AI-focused companies are drawing investor attention. SoftBank is trying to raise up to $100 billion from Gulf investors for AI businesses. Arista Networks generates about $10.54 billion from networking products and services and holds a market cap of $272.21 billion, with its technology central to how hyperscalers move data in AI and cloud data centers. Innio, which supplies gas engines and on-site data center power solutions, has a market cap of $14 billion and benefits from the broader infrastructure push.
New developments are also emerging in AI payments and policy. Coinbase released x402 in May 2025, enabling AI agents to pay for data, APIs, and compute using stablecoins through HTTP code 402. Google's AP2 protocol works alongside it, and the Linux Foundation has over 50 active members including Visa, Mastercard, Stripe, Google, and Coinbase collaborating on these machine-to-machine payment standards. Meanwhile, California Governor Gavin Newsom signed SB 951 on September 30, 2026, requiring employers to disclose AI-related layoff details in Cal/WARN notices starting January 1, 2027.
AI is also making its way into education, research, and workplace tools. Frederick County schools banned student AI use through 12th grade, citing concerns about harm to critical thinking. Berkeley Lab received major DOE funding to expand its AI assistant Osprey, which helps operators run particle accelerators using natural language. monday.com was named a Gartner Leader for 2026 in Collaborative Work Management and is pushing AI agents across customer workflows. The AI Policy Management Software Market, worth $1.8 billion in 2025, is projected to reach $10.4 billion by 2035 as regulations like the EU AI Act drive demand for compliance tools.
Key Takeaways
- The US bull market nears its four-year anniversary on October 12, driven by AI spending that has contributed to roughly one-third of recent US economic growth.
- S&P 500 earnings are expected to rise over 35% this year, supported by hyperscaler capital spending on data centers.
- Semiconductors and data transmission equipment accounted for 42% of goods trade growth in 2025, rising to 76% in Q1 2026.
- More than 2,000 new data centers are expected globally between 2026 and 2035, with server costs surging to as much as $3 million each.
- SoftBank is attempting to raise up to $100 billion from Gulf investors for AI businesses.
- Arista Networks generates about $10.54 billion in revenue and has a market cap of $272.21 billion, serving hyperscaler data centers.
- Innio, an AI infrastructure stock supplying data center power solutions, has a market cap of $14 billion.
- Coinbase released x402 in May 2025, enabling AI agents to make stablecoin payments through HTTP code 402, with Google's AP2 as a complementary protocol.
- California signed SB 951 requiring AI-related layoff disclosures in Cal/WARN notices starting January 1, 2027.
- The AI Policy Management Software Market grew from $1.8 billion in 2025 and is projected to reach $10.4 billion by 2035.
US bull market nears four-year anniversary powered by AI
The US bull market is approaching its four-year anniversary on October 12. It is driven by AI spending that boosts corporate profits and economic growth. The S&P 500 is trading near record highs. Anthony Saglimbene of Ameriprise notes that AI is the defining feature of this market, but pressure is growing on tech companies to prove their spending leads to profits.
Stock bull market nears 4-year anniversary driven by AI spending
The US bull market is strong as it nears its four-year mark on October 12. AI spending has lifted corporate profits and supported investor optimism. The S&P 500 sits near record-high levels. However, risks loom because the market depends heavily on AI. Anthony Saglimbene of Ameriprise warns that weakness in the AI trend could lead to severe punishment and more pressure on technology companies.
AI-centered US stock bull market nears four-year anniversary
The US bull market is nearing its four-year anniversary and has gained 117%, the sixth-best performance since World War Two. AI dominated the run after ChatGPT launched about a month after it began. S&P 500 earnings are expected to rise over 35% this year, helped by hyperscaler capital spending on data centers. Oxford Economics estimates about one-third of recent US economic growth comes from AI. Anthony Saglimbene of Ameriprise says AI is the defining feature but warns of pressure on tech companies.
3 AI Stocks With Revenue Growth Up To 22%
Bond markets are flashing warning lights as 10-year Treasury term premiums jump and long-dated yields push borrowing costs to decades-high levels. The article highlights three AI infrastructure stocks, including Innio, that benefit from this environment. Innio supplies Jenbacher and Waukesha gas engines and on-site data center power solutions. It also uses its Myplant AI platform and has a market cap of US$14b.
Elite AI Stocks To Own In October 2026
AI ambitions are growing as SoftBank tries to raise up to US$100b from Gulf investors for AI businesses. The article highlights three high-conviction AI stocks, including Arista Networks. Arista builds data center and AI-focused cloud networking hardware and EOS software. It generates about US$10.54b from networking products and services and has a market cap of US$272.21b. Its technology is central to how hyperscalers move data in AI and cloud data centers.
AliO method improves long-term time series forecasting
Researchers introduced AliO, a new method that improves output alignment in long-term time series forecasting models. These models predict future sequences for applications like weather and electricity planning. AliO reduces discrepancies between predictions for the same timestamps in time and frequency domains. The team also created a new metric called TAM to measure alignment. Tests showed AliO improved alignment by up to 58.2% and forecasting performance by up to 27.5%.
AI infrastructure boom reshapes global trade and logistics
The AI infrastructure boom is creating new trade flows and logistics opportunities worldwide. Semiconductors and data transmission equipment accounted for 42% of goods trade growth in 2025, rising to 76% in the first quarter. More than 2,000 new data centers are expected globally between 2026 and 2035. Server costs have surged from $100,000 to $250,000 to as much as $3 million each. The AI buildout in the U.S. has fueled import growth that would otherwise have declined by 10%.
How x402 and AP2 enable AI agent payments
AI agents can now pay for data, APIs and compute using stablecoins through protocols like x402 and Google's AP2. x402 was released by Coinbase in May 2025 and uses HTTP code 402 for payments within normal web traffic. These machine-to-machine payments differ from card payments because they handle tiny amounts at high frequency. The Linux Foundation has over 50 active members including Visa, Mastercard, Stripe, Google and Coinbase working on these protocols. Challenges remain around fraud, regulation and measuring real transaction volumes.
California requires AI layoff disclosures in worker notices
California Governor Gavin Newsom signed SB 951 on September 30, 2026, requiring AI-related layoff disclosures. Starting January 1, 2027, employers must include details about AI or automation causing job losses in Cal/WARN notices. Required information includes the number of affected layoffs, job functions being automated, technology type and a displacement statement. The Employment Development Department will publish summaries of these notices online. The law also requires a legislative report on AI's effects on hiring by January 1, 2028.
monday.com recognized as Gartner Leader for 2026
monday.com was named a Leader in Gartner's 2026 Magic Quadrant for Collaborative Work Management. The company is focusing on AI agents that work across customer workflows and data. monday.com is pushing an AI Workspace initiative and usage-linked AI agents to deepen adoption. The recognition raises questions about its investment narrative and long-term execution risks.
Berkeley Lab expands AI assistant Osprey to particle accelerators
The U.S. Department of Energy gave Berkeley Lab major funding to grow an AI project called MOAT-Core. The AI assistant named Osprey can help operators run particle accelerators using natural language. It will now expand to more DOE facilities and connect to digital twins for designing next-generation accelerators. The tool will also support the ALS-U upgrade and research in fields like microelectronics and quantum computing.
AI Policy Management Software Market grows to 10.4 billion dollars by 2035
The global AI Policy Management Software Market was worth 1.8 billion dollars in 2025 and is projected to reach 10.4 billion dollars by 2035. North America held over 42 percent of the market share in 2025. New regulations like the EU AI Act and rising AI use are driving demand for compliance and audit tools.
Frederick County schools ban student AI use through 12th grade
The Frederick County Board of Education banned artificial intelligence use for students from pre-K through 12th grade. The ban covers all public and private schools in the county and took effect right away. Leaders cited worries about AI harming critical thinking and creating dependence on machines. The decision has started debate among parents, teachers, and policymakers.
Sources
- AI-centered US stock bull market nears four-year anniversary
- Stock bull market nears 4-year anniversary driven by AI spending — but there are looming risks
- AI-centered US stock bull market nears four-year anniversary
- 3 AI Stocks With Revenue Growth Up To 22%
- Elite AI Stocks To Own In October 2026
- AliO: Output Alignment Matters in Long-Term Time Series Forecasing
- AI gold rush transforms trans-Pacific trade and logistics
- AI Agent Payments Explained: How x402, AP2 And Stablecoins Enable Autonomous Commerce
- California Amends Cal/WARN Act to Require AI and Automation Disclosures in Layoff Notices
- Does Gartner Leader Recognition Change The Bull Case For monday.com (MNDY)?
- Berkeley Lab: Artificial Intelligence for Particle Accelerators Gets Another Boost
- AI Policy Management Software Market
- Frederick County schools ban AI use for students pre-K through 12th grade
Comments
Please log in to post a comment.