AI Can Produce Content in Seconds But Most Still Can’t Produce Results

“AI can now produce 7 out of 10 marketing content pieces in 30 seconds.”

I saw this touted as a win on LinkedIn today and thought to myself "ok, so what? What did those 7 pieces of content ultimately bring in"? Probably not much being that a majority of AI pilots fail to bring in any significant ROI.

Just saying.

Producing content isn't the issue. Producing RESULTS is. So whenever I see posts like that, I immediately roll my eyes and scroll right along. Before you celebrate volume, ask your team:

• Did it drive revenue?

• Did it land with the right audience?

• Did it save time or just shift the mess downstream?

The data confirms that this "speed over strategy" approach is failing. Across the board you see teams rush to deploy tools before they’ve clarified workflows, ownership, success metrics, or feedback loops.

The result? Fast output with ZERO business impact. Zeeeeeroooooo. Congratulations! 🎉 You've moved your company nowhere and wasted everyone's time in the process.

AI just accelerates noise without:

• Defined success metrics

• Clear decision ownership

• Feedback loops tied to performance

• Operational integration

This is the same lesson manufacturing learned decades ago during the quality movement. Technology didn’t create competitive advantage. Organizational readiness did. The Baldrige-era winners weren’t the ones with the most tools. They were the ones with systems that made improvement repeatable

AI is having its Baldrige moment now. The winners won’t be the teams generating the most content. They’ll be the teams that know exactly

• Why they’re generating it

• Where it flows next

• How it compounds into results

AI doesn’t fix broken ops. It just exposes them a whole lot faster.

I dive deeper into why organizational architecture—not just the latest model—is the real race we should be running in my article: Everyone Is Racing for AI But Few Are Racing the Right Way 👉🏽 https://tinyurl.com/bdzbjktn