AI Rewards Thinkers and Replaces The Rest

The more time I spend with AI, the more impressed I become. Recently, it helped me write a preliminary report for an economic impact study and map several internal workflows to identify service level gaps. Also, I used AI to analyze a systemic drinking water shortage problem where I live in West Africa. I hadContinueContinue reading “AI Rewards Thinkers and Replaces The Rest”

Don’t out think AI. Out human AI.

Ironically, an AI generated image to prove the point: where can we add value? As AI capabilities rapidly close the gap on what only humans could do, I leaned on these insights from Toni Cowan-Brown and Benedict Evans on *Another Podcast* to guide my thinking. Give it a listen: AI and SaaS. “I hadn’t thought ofContinueContinue reading “Don’t out think AI. Out human AI.”

Predicting AI Was Not the Problem. Preparing for It Was.

Key distinction: The gap between knowing AI is coming and strategizing for it. We had the roadmap; the risk was not being able to connect the dots. We Had the Roadmap. We Just Didn’t Use It. In 2016, Ajay Agrawal and co-authors published a piece in HBR called The Simple Economics of Machine Intelligence. The core argument was almost disarmingly simple:ContinueContinue reading “Predicting AI Was Not the Problem. Preparing for It Was.”

Where is The Future Going, Anyway?

The Harvard Business Review wrote an article a couple years back titled, The Simple Economics of Machine Intelligence. It’s a fascinating piece. Digest it slowly and over several cups of coffee/beer/wine/La Croix/whatever. Changes afoot caused by machine intelligence: Cost of goods and services that rely on prediction will continue to decline. Cheap is good, right? Well,ContinueContinue reading “Where is The Future Going, Anyway?”