Presentation: What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents
Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens of usage data, he explains the four rungs of the AI adoption ladder and analyzes key failure points in context

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What Happened
Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens of usage data, he explains the four rungs of the AI adoption ladder and analyzes key failure points in context construction, multi-model routing, and feedback loops to help engineering leaders successfully scale agentic workflows. By Brendan O’Leary
Why It Matters
This item was selected from the latest technology feeds because it is timely and relevant to AI, software, security, cloud, hardware, or digital products. The original publisher remains the primary source for the full reporting and any subsequent updates.
What To Watch
Watch for follow-up reporting, official statements, product documentation, or additional technical details as the story develops.
