There’s real momentum behind AI — and kenya cell phone database just as much FOMO. Too often, teams start with the wrong question. Instead of asking, “What are we trying to solve?” they jump straight to “How can we use AI?”
That leads to trouble
It’s how you end up with high-priced pilots that don’t scale, tools that don’t fit the team or initiatives that fizzle out quietly. These missteps often leave everyone a little more skeptical about using AI the next time around.
AI should never lead. It must come after a clear business need and a defined problem worth solving.
Chasing AI without a cause
The pressure to do something with AI is real. When competitors are bragging about AI-generated content, automated workflows or AI cost savings, it’s easy to feel like you’re behind if you don’t have an AI use case ready to showcase.
But adopting AI for the sake of appearances or because it’s trending is a trap. Here’s what can happen:
A team spins up a pilot using whatever AI tool is most accessible
It runs, but the data isn’t clean or the use case isn’t meaningful enough to matter.
Internal teams disengage and stakeholders don’t see ROI.
And the next time AI comes up, people are reluctant to get on board.
The opportunity cost? You’ve wasted time, budget and attention. Meanwhile, the real problems draining resources or slowing growth remain unsolved.