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Weekly Intelligence for Retail & CPG Leaders
Curated AI signals tailored for each executive role, updated every Saturday
Economist 'Token Reckoning': AI Spend Up 13x (Ramp), Uber Burns Annual AI Budget in 4 Months — Enterprises Move to Caps, Routing and Outcome Pricing
The Economist reports the token-abundance era is over: Ramp's card data shows client AI spending up 13-fold in a year, Uber spent its annual AI budget in four months, and one firm spent $500m on tokens in a single month. Enterprises are responding by killing internal usage leaderboards (Meta, Amazon), routing down-tier (Sonnet ~1/20 the cost of Opus; Kimi ~1/20 of Sonnet), and imposing caps (Uber: $1,500/month per coding tool). Intercom now charges only for queries its AI agent actually resolves — the first named outcome-based pricing case.
US Frontier-Model Licensing Whiplash: Mythos Export-Banned ~June 12, Freed June 30; OpenAI's Sol Restricted — a De Facto Approval Regime Emerges
In weeks, US AI policy went 'from implausibly libertarian to increasingly draconian and opaque' (Dean Ball, former Trump AI adviser): Anthropic's Mythos was export-controlled ~June 12 (access limited to ~100 American firms), then freed June 30; OpenAI restricted Sol to a handful of trusted partners after a Commerce warning call; the June 2 executive order that disclaimed any licensing requirement now describes exactly what exists in practice. The three labs are split on governance: Anthropic wants a government veto, OpenAI a predictable agency, Google an industry-funded FINRA-style body.
Zhipu's GLM 5.2 Is the Top Open-Source Model, but DeepSeek Used 23x More Tokens for the Same Result — Total Cost, Not Per-Token Price, Decides Routing
One day after the US ordered Fable 5 access restricted, Beijing's Zhipu released GLM 5.2 — now ranked the most intelligent open-source model (4th overall on Artificial Analysis). DeepSeek v4 lists at $0.87 per 1M output tokens vs Anthropic Fable 5's $50, and Ramp reports a sharp June rise in US firms paying for DeepSeek, with Microsoft reportedly considering it for Copilot. But a Georgia Tech study found DeepSeek used 23x more tokens than an OpenAI rival for the same result, and on a software-engineering benchmark GLM 5.2 ended up costing more than Anthropic/OpenAI systems.
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