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Artificial intelligence in practice — what it changes, who it concentrates power for, and how it lands in the businesses and policies of the technology economy.
910 articles · Artificial Intelligence (AI)
Uber spent its entire 2026 budget for AI coding tools in four months.
The assumption almost everyone carries about a new tool: it pours rocket fuel on whoever is already at the front.
Microsoft, OpenAI, Anthropic, and Google are reportedly selling software that introduces itself by name, holds a Slack handle, and shows up on org charts.
Ford has rehired roughly 350 veteran engineers after automated quality systems and AI-driven inspection tools failed to deliver expected manufacturing standards.
"You come across as highly self-directed, analytical, private, and restless.
The hyperscalers are quietly dismantling the architecture of their own dependency.
TSMC manufactures an estimated 90%-plus of the world's most advanced chips on a single island 130 kilometres from China. There is no second source for the silicon powering the AI age.
A Silicon Canals piece on why AI exposure follows available training data and task legibility, not a simple ranking of job difficulty.
Here is the rewritten reliability is a hardware problem, when in fact the unsolved part is autonomy in a world the engineers do not control.
The man whose open-source code runs inside one of the most-installed pieces of consumer software in history is now building infrastructure for a different kind of fleet: robots, drones, and remote machines expected to come online over the next decade.
Two numbers from McKinsey's 2025 survey sit awkwardly next to each other.
I'm not a psychologist, an economist, or a labor researcher.
