Walmart just spent billions on AI. And half their team probably still prints spreadsheets.
That's not a knock on Walmart. It's proof that throwing money at AI doesn't automatically mean anyone uses i
Walmart just spent billions on AI. And half their team probably still prints spreadsheets.
That's not a knock on Walmart. It's proof that throwing money at AI doesn't automatically mean anyone uses it.
You're not alone if you've paid for an AI tool that's now collecting digital dust. That "$200/month nobody touches" feeling is more common than any consultant will admit. It doesn't mean you made a dumb decision. It means you were sold a solution before anyone identified your actual problem.
Here's what Walmart's AI story actually teaches smaller businesses: the companies winning with AI right now aren't doing everything. They picked one workflow, tested it, proved value, then expanded. That's it.
Walmart started with supply chain predictions. Not customer service. Not marketing. Not 12 things at once. One problem, measurable outcome, build from there.
Your version of this could be as simple as automating the one task that eats 3 hours every week. No new systems. No team overhaul. Just one friction point removed, with a result you can actually measure inside 30 days.
Start with the problem, not the tool. That single shift changes everything.
What's one repetitive task in your business that you keep saying "someone should automate this" — but nothing's happened yet?
