Every company says its data is a strategic asset. Then many of them send that data to the same handful of frontier models their competitors
Ask almost anyone whether AI made them faster, and the answer is an immediate yes. Ask whether it made their team faster and the answer
AI got very good at coding first, and the reason is less flattering than it sounds. Coding is work where the machine can check its
Legal is the department that can stop a business transaction cold. A contract goes into review and two weeks disappear. Procurement waits. Sales waits. And
The best AI model in the world just scored 18.1%. On Zapier’s own benchmark for real business work — the cross-app tasks any white-collar worker
The value is real. The spend is real. And the gap between the companies getting one in exchange for the other and the companies getting
The models have never been better — so why do so many companies still struggle to turn AI into real, repeatable value? The answer, Tom
Most enterprises rolling out AI are quietly optimizing for the wrong thing: speed, volume, lines of code shipped. Manu Narayan, CIO of GitLab, argues that
Every company building AI right now is asking the same question: if the models keep getting better and anyone can access them, what actually makes
AI can now write code faster than any human alive, and most of the time it’s more than good enough. That’s the magic powering the