Literacy is not fluency. Adoption is not transformation.
Making AI Work: A Practical Agenda for APAC Workers and Firms
My days now are mostly training people on AI - with a startup being built stealthily on the side, and the odd bit of helping folks write things, which I genuinely enjoy.
And training people day after day, I keep seeing the same thing: plenty who've done some AI course, very few whose work actually looks any different.
That's the gap. We've mistaken doing a prompt-engineering course for fluency, and buying the newest tool for transformation.
So when the folks at Asia Tech Alliance invited me to co-author a piece on this, I said yes pretty quickly - it's something I care about. The paper pulls together some ideas on what to do, and frameworks for thinking about it.
Many from far greater minds than mine (especially the folks listed below). And one we synthesized: the Fluency–Transformation framework. Two dimensions - worker capability on one axis, organisational capability on the other - and four places a firm and its people can end up: Exposed, Frustrated, Extractive, or Transformed.
The premise is simple. Real transformation isn't measured by licences sold or courses completed, but by whether the work itself looks different twelve months on.
This piece is something dear to me, and I hope it helps folks think a little differently about AI at work. Even if it shifts the conversation just a bit, I'm happy.
So do take a read below, and tell me, and the folks at Asia Tech Alliance - what you think.
Or if you prefer a direct link - https://www.asiatechalliance.com/makingaiwork
Christina Schönleber | David Autor | Franziska Ohnsorge | Soon Joo Gog | Ingo Laubender | Pei Ying CHUA | Priyank Hirani | Trisha Suresh | Young Park | Lih Shiun Goh | Natasha Gašparič-Gray | Sharon Tan
#MakingAIWork #ArtificialIntelligence #FutureOfWork #SMEs #AsiaPacific