
Three major US technology companies are strategically adapting to the accelerating AI wave: SpaceX released Grok 4.6, which benchmarks competitively against leading models from Anthropic and OpenAI, backed by hundreds of billions in infrastructure investment; AT&T is routing 45 billion daily AI tokens across a portfolio of open and closed models, with open-source models expected to power 70–80% of its workload over time and already cutting costs by 80–90% in some applications; and Apple hired a veteran government affairs leader to manage escalating issues around China, chips, and tariffs ahead of a September Xi-Trump meeting.
The common theme is operators reading the direction of the AI current and steering into it rather than fighting it.
What happened
SpaceX released Grok 4.6, benchmarking against Anthropic's latest models and OpenAI's GPT 5.6; AT&T routes 45 billion daily tokens across open and closed models via a smart router, with open models now powering 25% of use and expected to reach 70–80% over time; Apple hired Nate Gatten, a former American Airlines and JPMorgan government affairs veteran with Republican ties, to lead its global government affairs operation as John Ternus becomes CEO on September 1.
Why it matters
Elon's $60 billion acquisition of Cursor, the AI-native coding company, is validated by Grok 4.6's performance; AT&T's shift demonstrates enterprises are building portfolios of both open and closed models rather than locking into a single vendor, with switching to open models already saving 80–90% in certain applications; Apple's government affairs restructuring—with Tim Cook moving to executive chairman while managing White House relationships—signals Big Tech is treating DC lobbying as a first-team priority ahead of tariffs, chip sourcing, and the September Xi-Trump White House meeting.
What to watch
How the market assesses Grok 4.6's benchmarks in coming days; AT&T's projection that open models will power 70–80% of its AI workload over time; Apple's Pixel 11 phones reducing RAM from last year's 16 gigabytes to 12 despite price increases of $100 on phones and $50 on wearables, signaling that memory pricing pressure is persisting across even the largest tech companies.
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