Tag: tokens
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AI Bottlenecks
Things they slow down AI growth, or, why those tokens are so expensive. 🔗 AI Bottlenecks
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🤖 The AI Subsidy Window Is Closing: Oracle, SAP, and Workday Move to Metered Token Pricing
Enterprise software vendors subsidized GPU, inference, and token costs to drive AI adoption, creating false budget security while companies burned through annual AI budgets in months. Oracle, SAP, and Workday are now moving to metered pricing, which turns AI spending into an organizational design decision: model elasticity across the three uncontrollable pricing variables, retain core…
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Tokenomics – how AT&T burns through a trillion+ tokens a month (and rising), but still manages to drive down enterprise costs through ‘moneyballing’
He argues that industry research shows AI agents generate up to 450% more total traffic per task than a human performing the same work. That means that agentic adoption is projected to drive approximately 9x growth in enterprise traffic and approximately 7x growth in consumer traffic by 2035. 🔗 Tokenomics – how AT&T burns through…
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Relative to your interests, Tuesday
I have been on vacation for a little while, in Finland for the third time. Finland feels different than the other parts of Europe I have been to. Perhaps it’s because I spent my time there in rural Finland. But it also feels like most of Finland is rural. In that way, it feels a…
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here come the normies
Consulting giant Accenture is trying to figure out how to stop non-technical workers from blowing through companies AI token budget on trivial tasks like converting PDFs to presentation slides, according to leaked audio obtained by 404 Media. Across the industry Accenture is seeing “soaring token spend,” according to the audio. To consider: There is a…
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Reducing token usage
Better Defaults (not Usage Caps) — Engineers can choose any model they want, but defaults matter. We’re experimenting with defaulting to open weight models like GLM 5.2 and Kimi 2.7 through our LLM gateway, while still encouraging engineers to choose the right model for the task. 91% of our employees were never hitting their usage…
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