Dependency is the product, not the risk
Your AI vendor's business model wasn't designed to solve your dependency. It was designed to deepen it.
Ideas, guides and behind-the-scenes on how companies are using artificial intelligence across sales, marketing, support and management — without the hype.
This week's news cycle reveals a pattern worth paying attention to: the tools are maturing faster than the guardrails. From OpenAI locking down sensitive data to Meta's agent being used to steal accounts, and Google quietly rewriting how search works — here is what decision-makers should actually be tracking.
You asked AI to map market opportunities. What it gave back was your own track record, with 94% statistical confidence.
76% of companies already have a CAIO. Most of them put the accelerator and the brake in the same hand.
AI got better at compensating for bad briefings. The team got worse at writing good ones. That trade-off doesn't show up on the dashboard.
ChatGPT is recommending your company to your next client. The problem is it's recommending the version from two years ago.
You built the digital assembly line. You forgot to install quality control.
76% of companies already have a CAIO. Few are talking about the structural problem behind that number.
Your company has an override button for its AI. Nobody has pressed it in the last 7 months.
The CFO approved the project because it saved 200 hours. The 180 hours that same project created never even made it onto the slide.
Your company uses AI to execute what has already been decided. The one that will outperform you uses AI to find what never was.
No posts found.
Choose your field and the site will show AI examples made for your reality — pain points, use cases and the most suitable track.