The New Lock-In Lives in Memory
APIs can be swapped. Habits, approvals, and learned context are much harder to move. Why the next major AI lock-in may cut deeper than classic software dependency.
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APIs can be swapped. Habits, approvals, and learned context are much harder to move. Why the next major AI lock-in may cut deeper than classic software dependency.
55% of companies regret their AI layoffs. The task analysis was correct. The job decision was not. What this reveals about the difference between tasks and jobs.
1.59x better quality. Zero model change. Just vocabulary.
What stands between your AI business case and a noble gas in the Persian Gulf. In not a single AI business case I've seen in the last six months does the word helium appear.
Why AI brings everyone to 6/10 – and why that's exactly the problem. When everyone becomes equally passable, the one who's better than passable wins.
Agentic workflows turn model buying into an infrastructure problem surprisingly fast. A managed layer may be forming exactly there, above inference as the underlying commodity.
Apple is not suddenly assembling one big Siri moment. Across the last two WWDCs, Apple has been laying the runtime layer that makes apps actionable for AI.
Cloudflare's new metric pushes the ethics question in AI a step further. Not only: what does the model do. But also: what does the product give back to the sources?
Big AI numbers sound like deep transformation. Often they only show that one part of the company already runs on a new rhythm while the rest still operates on the old one.
AI platforms will not just sell model capability. They will sell predictability. The real surcharge sits in billing, limits, appeals, and policy enforcement.