CIOs and CTOs at companies including Samsara, Docusign, Yum Brands, Cigna, and Compass are tightening AI usage, budgets, and model access as AI spending rises and some tools fail to deliver expected value. Global AI spending is projected to reach $2.5 trillion this year, a 44% increase, prompting shifts toward cheaper models and tighter guardrails like narrower context to cut token use. Companies are retraining staff and enforcing per-group or per-engineer limits so costs are managed and spending is kept from scaling as fast as compute and tokens.
SpaceX and NVIDIA plan to launch Starmind AI1 satellites to run AI compute in Low Earth Orbit and relay results to Earth using Starlink laser links. Each satellite is described as drawing up to 250 kW at peak and needing deployable liquid radiators totaling 160 square meters. The proposal changes the cooling and networking model of AI infrastructure to reliance on slow infrared heat rejection and optical inter-satellite links, while leaving major risks from debris, space weather, and high launch-cost scaling unresolved.
Wiley Science and Engineering Content Hub·2 months ago·
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A white paper from IEEE Spectrum and Wiley reports how more than 700 practitioners build visual and physical AI and why models fail. It says 78% of teams already see measurable value from visual and physical AI while 74% view the field as underinvested. The report argues that successful teams spend nearly 3x more time on data work and that data curation—not larger model architectures or collecting more data—drives production outcomes.
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