Amazon’s engineering leadership calls token counts and AI usage metrics “deeply flawed” as targets: outcomes are what count. Its own AI bets tell the same story. Most flagship Nova models were wound down, while about $18 billion invested in Anthropic was carried at about $190 billion on June 30. What the memo says, what the numbers show, what companies should measure instead, and what to watch when Amazon reports on October 29.
Browsing Tag
AI productivity
6 posts
Stop Babysitting Your AI Agents: The 4 Rules I Use to Get Decisions, Not Updates
Anthropic found that its staff’s AI agents now log six times the hours of the people running them, and spend about 80 percent of session time waiting for a human. The bottleneck is your attention. Here are the four rules I use to get finished work and clear decisions back from agents, six prompts you can copy, and a three-question check for every agent you run.
Six Ideas From My Book Dots, Bots, and Math! That Explain This Month’s AI News
My book Dots, Bots, and Math! went into distribution on October 16. Since then, the news has walked through its chapters: Apollo’s “zero payoff”, Microsoft’s buyouts, Anthropic’s S-1, the AI price war, agents inside bank accounts. Six ideas from the book, each next to the headline it helps explain, and what they mean for companies and for users.
AI Pays Off Almost Nowhere Outside Tech, an Economist Says. The Spending Keeps Exploding. What the Numbers Really Show
Apollo’s chief economist says AI has delivered zero financial payoff outside tech, while Meta lists $825 billion in commitments and SpaceX borrows $40 billion for chips. What the five Apollo charts really measure, where AI demonstrably pays, why most firms are stuck in pilots, and what it means for companies and users.
Is AI Coding Paying Off? Where the Money Burns, Where It Pays, and How to Measure It
Engineering teams now spend from $150 to $3,000 per developer per month on AI coding tools, and most can’t say what it bought. What the newest data from The Pragmatic Engineer, Microsoft, METR, DORA, Veracode and Stack Overflow says about where AI coding pays, where money burns, how to measure ROI, and what it means for developers.
Productivity Tools Overload: When AI at Work Makes Work Harder, Not Easier
Keen to boost your productivity, but overwhelmed by AI tools? Discover how to prevent work overload and regain control.