Feeling overly dependent on AI? Here are 5 ways to keep your brain sharp.
THE SO WHAT
If nearly half of workers already worry AI is eroding their critical thinking, you have a training and process design problem, not a tooling problem. Treat AI as a calculator for cognition — redesign workflows so humans still own framing, constraints, and final calls, or you’re quietly de-skilling your org.
READ THE SOURCE
MORE FROM THE WIRE
I asked Meta's new Muse Spark AI to judge my lunch and give me recipes for dinner, and it mostly delivered
Muse Spark grading lunches and suggesting leftover recipes is the real play: persistent, low-stakes daily touchpoints that normalize AI as a background coach. If your product doesn’t have a reason to talk to the user 3–5 times a day with actual utility, you’re going to lose surface area to assistants like this.
Applied AIThe AI code wars are heating up
The AI coding wars turn IDEs and repos into the new browser—whoever owns the dev loop owns the enterprise stack. If you're a software vendor, assume your customer’s engineers are co-building with frontier models and design your product to be composed, not monolithic.
Applied AIIs AI the greatest art heist in history?
Framing generative AI as an "art heist" hardens the expectation that training data is a billable input, not a free raw material. If your product leans on scraped creative work, budget for licensing, opt-outs, and provenance tech now—or you’re building on a contested asset base.
Applied AIAI companies know they have an image problem. Will funding policy papers and thinktanks dig them out?
When labs fund think tanks and policy papers at scale, AI governance becomes a lobbying channel as much as a safety exercise. If your business depends on permissive AI rules, you now compete not just on product, but on narrative and policy capacity—silence is a strategic disadvantage.