"I've Been Trying AI for Months and Nothing Has Stuck—What Am I Missing?"

Robin asks: "I've tried ChatGPT, some automation tools, things my team suggested. Nothing has stuck. We're not saving time. Nobody uses it consistently. I'm starting to think AI just isn't for businesses like mine."

You're not alone. 48% of companies who deployed AI reported disappointment with results. The problem isn't AI—it's how it's being deployed.

The core insight: AI is an amplifier, not a fixer.

If your workflow is clear and documented, AI makes it consistently excellent. If your workflow is chaos, AI amplifies the chaos. This is the Variability Trap—when everyone produces different outputs, AI just makes that inconsistency faster.

Treat AI deployment like hiring a VA. Use microtasks, not full workflow dumps. The 30X Rule: whatever time a task takes you, allocate 30X that to training. If it's an hour a day, that's ~900 hours of training investment over time. You're buying back your time—that takes patience.

Think of AI like teaching a child to ride a bike. Map out the micro steps. Train on one part. Guide them. Let go when they balance. Then connect the micro tasks into a larger workflow.

This is a horse and buggy to car moment. We have to adapt. But adaptation requires fixing the foundation first—then adding AI on top.

The bottom line: AI amplifies what's already there. Fix your chaos first. Deploy in micro steps. Expect it to take time.

Got a business question? Ask Scott here: scotttodd.net/ask