Meta Embedding Engineers With Customers to Push AI Adoption - PYMNTS.com

Even Meta knows AI tools don't sell themselves. Their engineers aren't just building software anymore — they're sitting inside customer businesses, watching where adoption breaks down. That should t

Even Meta knows AI tools don't sell themselves.

Their engineers aren't just building software anymore — they're sitting inside customer businesses, watching where adoption breaks down.

That should tell you something.

If the world's most sophisticated AI company needs humans embedded on-site to make adoption actually work, it's not because their customers are slow. It's because context matters more than code. The tool means nothing without someone who understands your specific workflow.

This is exactly why you bought that AI subscription and nobody touched it. It wasn't a people problem. It wasn't a tech problem. It was a fit problem — nobody connected the tool to the actual job your team needed done.

The insight here isn't "get more help from vendors." It's this: before you buy anything else, map one repetitive task that costs your team 3-5 hours a week. Just one. Then ask whether a tool exists that removes that specific friction. That's your first win — small, measurable, irreversible.

You don't need an AI strategy. You need one problem solved by next month.

What's the AI tool your team was supposed to use but quietly abandoned — and what do you think actually killed the adoption?

#AIForBusiness #SmallBusiness #AIAdoption #BusinessStrategy

Original Source

The report cites an internal memo in which Naomi Gleit, Meta's head of product, said the new Enterprise Solutions ... AI systems and software ...