Productivity
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Developer ToolsSep 2, 2026
Google’s coding-model push shows the agent race is narrowing around software work
Google’s reported coding-focused model work matters because software remains the clearest commercial battlefield for frontier AI. Coding agents generate measurable productivity claims, run inside valuable workflows, and give model labs a direct path from research progress to paid daily use.
AI in PracticeAug 30, 2026
Small businesses are getting a second-mover advantage in AI
Small businesses do not need to copy every AI experiment from large companies. Their advantage is that big companies have already made many of the expensive mistakes in public: over-automation, unclear disclosure, weak training, messy governance, and tools that sound useful but do not fit the work.
InfrastructureAug 26, 2026
AI data-center politics are becoming local before they become national
The AI infrastructure fight is becoming local first. Communities see the land, power lines, water use, tax promises, and construction noise long before they see any abstract national productivity gain from AI.
AI in PracticeAug 26, 2026
Enterprise AI is moving toward data-local deployment patterns
Enterprise AI adoption is increasingly constrained by where the data lives. Companies want the productivity gains, but they do not want sensitive records, customer data, or regulated workflows flowing into systems they cannot govern.
AI in PracticeAug 25, 2026
IMF AI outlook keeps the growth debate tied to real investment spread
The IMF angle pulls AI out of the product-launch cycle and into the global economy. The question is no longer whether AI is exciting. It is whether investment spreads widely enough to change productivity outside the few places already winning the race.