How AI is Reshaping Work [PODCAST]
And other predictions.
Recently I had the privilege of going on the Applied Methods podcast hosted by my friend James Mulligan to talk about how AI is reshaping work.
Instead of complaining that AI will take people’s jobs, James is building Applied Methods. It’s a platform that aims to observe and document the evolution of work and help everyone figure out their place in the new world. It features a job board tracking AI-native roles and a podcast interviewing people using AI.
A clearer signal sits with AI companies themselves: the labs building the models, the companies building the infrastructure, and the companies building AI-native applications. These are the organisations staffing, from scratch, for a world in which the method and the model are designed together.
Applied Methods tracks hiring at established and emerging AI companies. Every active posting is classified into a taxonomy of functions and roles that is constantly evolving: new roles emerge, existing ones shift, and the skills required to stay competitive are changing in real time.
Applied Methods exists to make those shifts visible early. Our taxonomy is updated in real time to reflect the meta as it moves. For the people closing the gap themselves, staying ahead of how AI companies are hiring is one of the more direct ways to stay competitive in a market that rewrites itself faster than it can be surveyed.
We covered a very broad range of topics from the past & future of Auditless, practical ways I use AI today, the changing nature of work, how to educate our kids and the risks facing consulting companies.
You are welcome to listen to it on your favorite platform and let me know what you think. I’m especially curious for any contrarian takes on education.
I’ll leave you with a quote from the pod:
You’ll still need yoga instructors in the wild — they don’t need to use AI. It probably takes away some of your credibility if you put Calm or Headspace on in the room. But if you’re someone currently using a keyboard to produce all your output, it’s possible you [will] find yourself spending much more of your time on distribution than on deliverables.