Nvidia CEO Huang Says Chip Sales Will Double Next Year

S&P 500 earnings are expected to increase by +24% from the same period last year in the third quarter, the 8th straight quarter of double-digit earnings growth for the index, according to Zacks Investment Research. Earnings are expected to be above the year-earlier level for 14 of the 16 Zacks sectors, with 5 sectors expected to enjoy double-digit growth: Aerospace up +159.3%, Energy up +111.9%, Tech up +41.9%, Basic Materials up +31.2%, and Transportation up +15.1%. The Conglomerates sector is the only one expected to have lower earnings in Q3 relative to the same period last year, down 35.4%, while Consumer Staples earnings are expected to be flat. Excluding the Energy sector, Q3 earnings growth for the S&P 500 drops to +20% from +24%, and excluding the Tech sector, growth for the rest of the index drops to +14.4%. Nvidia's Q3 earnings are expected to increase +90% year-over-year on +91.2% higher revenues, while Micron's year-over-year earnings and revenue growth rates are expected to be +938% and +348.6%, respectively, and Tech sector earnings growth gets cut by slightly more than half once contributions from Nvidia and Micron are excluded. The Q3 earnings season will get the spotlight when the big banks report on October 13th, but the reporting cycle actually got underway with the September 10th quarterly releases from Oracle and Adobe, followed by homebuilder Lennar as the third S&P 500 member to report such Q3 results, with an additional six index members on deck this week including Costco, AutoZone and Darden. Total Q3 earnings for the three S&P 500 members that have reported results already are up +22.6% from the same period last year on +14.9% higher revenues, with 33.3% beating EPS estimates and 66.7% besting revenue estimates.

Humanoid robots are making meaningful progress in autonomy, dexterity and repetitive real-world tasks, but widespread commercial deployment remains a work in progress, according to a report published Wednesday by Citrini Research. After a week meeting robotics labs, engineers and investors across the San Francisco Bay Area, the firm found most humanoid robots remain in development, training and tele-operated demonstrations, with real-world deployments closer to pilots than clear return-on-investment opportunities. The report examined whether robotics is approaching its own ChatGPT moment and highlighted advances from GeneralistAI and Skild AI, along with Figure AI's demonstration involving 250,000 packages, suggesting the field may advance through a mosaic of signals rather than one defining breakthrough. Basic humanoid locomotion is effectively a solved problem while complex dexterity remains more difficult, and simple repetitive tasks are already trainable. Investment in the broader robotics infrastructure is keeping pace: Tesla Inc has been preparing production lines for Optimus, XPeng Inc has launched an automated production line for its IRON humanoid robot, and Figure AI is securing access to up to 100,000 Vera Rubin GPUs from NVIDIA Corp to train the models powering its humanoid robots. The report concluded robotic autonomy is developing along a curve rather than arriving through one decisive breakthrough, with broad generalizability remaining the longer-term goal.

Xeal launched Laitent, which it calls the world's first edge inference compute network using idle EV charging capacity, tapping more than 200MW of permitted, installed electrical infrastructure across 1,600+ properties. Xeal, a member of NVIDIA Inception, plans to deploy over 100,000 NVIDIA GPUs alongside EV charging infrastructure, and has secured partnerships with Rafay Systems for AI infrastructure orchestration, Spectrum Business for dedicated enterprise-grade fiber, dozens of real estate and property managers, and a Tier 1 inference provider for up to 5MW of compute. The first Laitent Pod will be brought online with partner JVM Realty by the end of 2026. Each Laitent Pod is about the size of one parking space, contains up to 48 NVIDIA Hopper or Blackwell Ultra GPUs, requires no water hookup, and runs quiet at less than 65 decibels, offering sub-20ms latency in metro areas. Xeal said EV charging sites typically operate at less than 10% of permitted capacity, and it taps the remaining 90% for compute, with property owners able to add as much as $1m in property value for little-to-no upfront investment. Looking beyond the initial 200MW of installed charging capacity, Xeal plans to unlock over 1GW of existing headroom across real estate and EV charging deployments.