• Human labor will be in the "Safe Zone" in the social, unstructured environments where it will be hard to train an AI to train pets, offer physical therapy, and style someone's hair and face.


• Meanwhile, structured, asocial work is most easily replaced, such as fast food cooks, garment factory workers, and cashiers, he calls this the "Danger Zone"


• The

"In addition, there are problems that humans rather than computers will have to solve for purely practical reasons. It isn’t because computers couldn’t eventually solve them. It’s because in real life, and especially in organizational life, we keep changing our conception of what the problem is and what our goals are."

— Geoff Colvin,  Humans Are

First off, I realize I can continue refining my humanity and my empathy skills. I hope to take more listening, relationship, and communication courses in 2023 to sharpen this critical skillset.

Human labor will be in the "Safe Zone" in the social, unstructured environments where it will be hard to train an AI to train pets, offer physical therapy, and style someone's hair and face. Meanwhile, structured, asocial work is most easily replaced, such as fast food cooks, garment factory workers, and cashiers, he calls this the "Danger Zone"

While I'm sympathetic to many already struggling creators who will find fewer commissions and opportunities, I also think the genie is out of the lamp on this one. While there are probably some legal, technological, and social mechanisms to slow the use of these tools—I've heard of calls to boycott AI generated art—we cannot stop their widespread

• In other worse, teams of people who actually get to know each other in person can often create the strongest results. Colvin went on to cite a bunch of work that showed how people collaborated worse when remote, which again, must be concerning for leaders of distributed teams.


• Colvin also explored how doctors were being trained to provide a more

Generative AI combines the encoding of vast corpuses of text and images—which act as training data—and a series of machine learning algorithms to turn text prompts into incredibly creative, intelligent, and useful visual and text responses.