Digest for 11/27/2025

Positive psychology expert explains how happiness fuels productivity and success, with implications for building positive cultures in hybrid work environments.

We must face our fears if we want to get the most out of technology -- and we must conquer those fears if we want to get the best out of humanity, says Garry Kasparov. One of the greatest chess players in history, Kasparov lost a memorable match to IBM supercomputer Deep Blue in 1997. Now he shares his vision for a future where intelligent machines help us turn our grandest dreams into reality.

At his carpet company, Ray Anderson has increased sales and doubled profits while turning the traditional 'take / make / waste' industrial system on its head. In a gentle, understated way, he shares a powerful vision for sustainable commerce.

Bill Gates unveils his vision for the world's energy future, describing the need for 'miracles' to avoid planetary catastrophe and explaining why he's backing a dramatically different type of nuclear reactor. The essential goal? Zero carbon emissions globally by 2050.

Allan Savory has devoted his life to stopping desertification. He now believes -- and his work so far shows -- that a surprising factor can protect grasslands and even reclaim degraded land that was once desert.

Jason Fried has a radical theory of working: that the office isn't a good place to do it. He calls out the two main offenders (call them the M&Ms) and offers three suggestions to make the workplace actually work.

Machine learning expert Anthony Goldbloom explores how AI will disrupt the job market, highlighting which roles will change and how it shapes our economic future.

Machines that can think, learn and adapt are coming -- and that could mean that we humans will end up with significant unemployment. What should we do about it? In a straightforward talk about a controversial idea, futurist Martin Ford makes the case for separating income from traditional work and instituting a universal basic income.

Career analyst Dan Pink examines the puzzle of motivation, starting with a fact that social scientists know but most managers don't: Traditional rewards aren't always as effective as we think. Listen for illuminating stories -- and maybe, a way forward.