technology
Firms Discover AI's Limit Is Infrastructure - PYMNTS.com
PushButton AI Team ·
The real reason AI tools fail at your company has nothing to do with your team. It's not resistance to change. It's not the wrong tool. It's the pipes behind the walls. A new study just confirmed wh
The real reason AI tools fail at your company has nothing to do with your team.
It's not resistance to change. It's not the wrong tool. It's the pipes behind the walls.
A new study just confirmed what I keep seeing with business owners: AI hits a wall when the underlying systems can't support it. You bought the tool. Nobody uses it. That $200/month subscription quietly becomes a reminder that something went wrong — and you're not sure what.
Here's the insight that changes everything: AI doesn't fail because AI is bad. It fails because companies try to bolt a race engine onto a bicycle frame.
Most legacy business systems weren't built to share data cleanly. AI needs clean data flowing freely. When those two things don't match, even the best tool in the world sits unused.
This actually works in your favor.
Before evaluating any AI tool, ask one question: "Does this tool connect directly to the data we already have, or does it need new infrastructure?" If the answer is "new infrastructure," walk away. Start with tools that plug into what already works.
That single filter eliminates 80% of the wrong choices before you spend a dollar.
What's one AI tool you've tried that never quite stuck — and do you think it was a data problem underneath?
#AIStrategy #BusinessGrowth #SmallBusiness #AIImplementation
Original Source
As artificial intelligence (AI) ... Others remain cautious, often constrained by legacy technology stacks that make AI integration difficult.