Top Companies' AI Moves

Today's Stories

1. 1

   Tesla Caps Employee AI Spend at $200 per Week After Adoption Push

   Tesla Caps Employee AI Spend at $200 per Week After Adoption Push

2. 2

   Applied Materials Guides 30% Semiconductor Revenue Growth for 2026

   Applied Materials, the largest U.S. semiconductor equipment provider, reported fiscal 2026 second-quarter results with 11% year-over-year revenue growth and guided for at least 30% revenue growth in its semiconductor business for calendar 2026. The company cited partnerships with Taiwan Semiconductor Manufacturing, Micron, and SK Hynix as drivers of accelerated growth. Applied Materials equips the chipmakers building AI infrastructure—companies like Nvidia and Micron that have drawn investor attention. Because these chipmakers are seeing parabolic revenue growth, Applied Materials stands to benefit as a critical enabler. For investors, the company's guidance suggests substantial acceleration in semiconductor revenue over the coming quarters, though the stock has already more than doubled year to date and now carries a P/E ratio above 50, leaving a lower margin of safety.

   Applied Materials must achieve 40% to 50% revenue growth in future quarters to offset the 10.4% year-over-year semiconductor revenue growth recorded in Q2 and deliver its full-year 30% guidance. The company's net profit margins reached 35.5% in the most recent quarter, which may support meaningful net income growth if the revenue targets are met.

3. 3

   Cisco to Give 90,000 Employees AI Agents Starting This July

   Cisco will provide each of its 90,000 employees with a personalized AI assistant beginning in its new fiscal year at the end of July. The system automatically selects the right AI model for each task and is built largely on-site infrastructure. CFO Mark Patterson describes AI as the most significant technology transition in his lifetime. Within Cisco's finance function alone, AI now produces 80% to 90% of the first draft of mandatory financial disclosures, and the company has built AI tools to speed investor relations and forecast business performance—suggesting the rollout could meaningfully reduce routine work across the organization.

   Cisco did not reveal the cost of implementing the AI agents. The company's stock is up about 52% so far this year.

4. 4

   Berkshire Hathaway Shifts to Concentrated AI Bets Under New CEO Abel

   Berkshire Hathaway has exited multiple equity positions while committing multibillion-dollar capital to Alphabet and other technology and AI-linked holdings under CEO Greg Abel, marking a sharp departure from Warren Buffett's prior investment approach. This concentrated tilt into technology increases portfolio risk and ties Berkshire's investment narrative more tightly to AI and tech sector performance, a shift that may influence how investors view the company's role in the broader economy and what factors could move its stock price.

   Community valuations for Berkshire A shares span from roughly US$715,958 to US$1.15 million（約1.8億円） per share, reflecting widely different views on how this new strategy will play out. The execution of Abel's capital reallocation and the performance of concentrated tech holdings will be key near-term drivers.

5. 5

   Stock market rebounds; Meta rallies on AI computing plan

   The stock market rebounded strongly for the week with volatility. The Dow Jones and Russell 2000 briefly hit all-time highs, while the S&P 500 and Nasdaq composite rebounded above key levels. Meta Platforms rallied on reports it will sell AI computing power to outsiders, but that news pressured neoclouds, chips, and other AI hardware stocks. Meta's move to monetize its AI infrastructure by selling computing power signals a shift in how major tech companies view their in-house AI assets. For hardware and cloud providers, the announcement suggests potential competition from a major tech company entering the computing-services market, which may explain the sell-off in those sectors.

   Monitor how Meta's AI computing-power offering develops and whether other hyperscalers (large cloud providers) follow suit with similar services, as this could reshape competitive dynamics in cloud infrastructure.

6. 6

   Dell, Microsoft deepen AI partnership with hybrid cloud, security focus

   Dell Technologies and Microsoft have expanded their 35-year partnership to address enterprise AI deployment, introducing integrated solutions including Microsoft's Foundry Local (for running AI models on disconnected devices like laptops) and Azure Local (a hybrid cloud offering that brings Azure services to on-premises hardware). The two companies are also pairing Azure tools with disaggregated Dell infrastructure to help organizations run sovereign, AI-ready private clouds. Enterprises face three critical challenges as they deploy AI: governance, compliance, and security (especially in regulated industries like healthcare); the need to run AI outside cloud environments while protecting sensitive data; and customer demand for data sovereignty—control over where data lives. Dell and Microsoft's joint solutions, using tools like Microsoft Intune for endpoint security and Azure Arc for data residency control, address these mandates that are no longer optional for regulated businesses.

   Microsoft unveiled Foundry Local in February; it enables offline AI inference on personal devices with zero network latency and no data leaving the device. Dell Private Cloud now supports a disaggregated model (separate compute and storage) while maintaining automation similar to hyperconverged systems, designed specifically to run Azure Local well.