AI Giants Bet Billions On The Most Expensive Job In Enterprise - Forbes

Big AI companies just invested $5.5 billion to solve one problem: getting AI to actually work inside real businesses. That should tell you something. If AI were plug-and-play, they wouldn't need bil

Big AI companies just invested $5.5 billion to solve one problem: getting AI to actually work inside real businesses.

That should tell you something.

If AI were plug-and-play, they wouldn't need billions and armies of senior engineers dedicated entirely to deployment. Yet somehow you were handed a login and a 30-day free trial.

The dirty secret the vendors won't tell you: AI tools almost never work out of the box. The reason your $200/month subscription sits unused isn't because your team is resistant or you made a bad choice. It's because real implementation requires someone who understands your specific workflows, your specific bottlenecks, your specific business.

That consultant who oversold and disappeared? They skipped exactly that step.

Here's what this means for you practically: before you evaluate any AI tool, write down the one repetitive task that costs your team the most time this week. One task. Not a department overhaul — one task. That becomes your test case, your 30-day proof point, and your benchmark for whether anything is actually working.

Start there. Everything else is noise.

What's the one task in your business you'd most want to hand off first — and has anything you've tried actually made a dent in it?

#AIStrategy #SmallBusiness #BusinessOperations #AIImplementation

Original Source

The two ventures together put about $5.5 billion behind AI deployment and enterprise services. The Forward Deployed Engineer, or FDE, is a senior ...