Degenerative innovation

Innovation is degenerative. It exploits and erodes our prosperity and health on the promise that success will repay the losses, a promise that is seldom if ever kept. So, what if our processes for innovation were regenerative, in the sense that they nourish and strengthen teams, organisations, communities and environment continuously, regardless of the outcome? What would this regenerative innovation process look like?

What if courses are not the answer?

Universities are finding that creating and supporting more and more courses in an already saturated market is an unsustainable model. Instead, they should move to developing new value propositions based on things that are scarce, such as bespoke, learner co-created experiences, and challenge-based and entrepreneurial learning, creating opportunities for learners to practice skills, receive feedback, reflect, and build confidence and psychological capital.

Week notes: 3 July 2023

This week I began my research into individuals and teams who are able to 1) learn about new techs quickly while 2) discerning the impacts and applications in their domains while 3) starting to implement. How do they learn, select and adapt so quickly and effectively, while others do not? If you’re reading this and you are (or you know) someone or some team or startup that is learning, adopting and adapting new techs exceptionally fast, I’d love to talk.

Week notes: 26 June 2023

When technology advances quickly, remaking work and economies, how do we (individuals, groups, orgs, communities) determine the skills and capabilities needed to compete? And if specially convened panels of industry experts cannot answer this question, can we create alternative communities, entities, services and experiences to fill the void and enable young people in particular to find answers?

Week notes: 19 June 2023

This week I am thinking about the innovation that isn’t. The innovation that doesn’t happen. I don’t mean innovation that fails. I mean innovation that simply doesn’t occur. The innovation that isn’t. Might machine and social learning reverse the stagnation of ideas?