Category: AI in Practice
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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 had…
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Don’t out think AI. Out human AI.
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 of that…analogy of ‘is this what ChatGPT would have written?’ Great, then I have nothing…
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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:…
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Disappearing Jobs
I was at a kid’s birthday party a few months ago and was reading this Tweet (note: it’s a better idea to spend time with other adults at the party instead of on your phone): https://twitter.com/brentbeshore/status/1005514676669542400?s=12 “We’ve looked at around 300 construction-related companies this year and every one of them says the biggest challenge, by…
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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,…
Jeff Beaumont 