Co-Intelligence: Living and Working with AI

"Co-Intelligence: Living and Working with AI by Ethan Mollick argues that the most important shift in AI is not that machines will replace humans, but that they are becoming usable collaborators—and that individuals who learn to work with them effectively will have a significant advantage. At the heart of the book is the idea that AI should be treated less like a tool and more like a co-worker with strange strengths and weaknesses. Large language models, in particular, are powerful but unreliable: they can generate ideas, draft text, and assist with problem-solving at remarkable speed, but they also make mistakes and require human judgment. The key skill, Mollick argues, is learning how to manage AI—prompting it well, checking its outputs, and integrating it into workflows. He also makes a broader claim about work: that AI is changing the unit of productivity. Tasks that once required teams or specialist expertise can now often be done by individuals working alongside AI systems. This doesn’t eliminate the need for human skill, but it reshapes it—placing more emphasis on creativity, critical thinking, and the ability to direct and evaluate machine output. Another central argument is that we are still in a fluid, experimental phase. There are no settled best practices yet, so individuals and organisations need to adopt a mindset of rapid experimentation—trying AI in different contexts, learning what works, and adapting quickly as the technology evolves. Finally, Mollick is cautiously optimistic. He acknowledges risks—errors, overreliance, and misuse—but ultimately presents AI as a practical opportunity: a way to augment human capability right now, rather than a distant or purely theoretical future. Yes—Ethan Mollick is widely considered an AI expert, though not in the narrow ‘build-the-models’ sense. He’s a professor at Wharton School of the University of Pennsylvania, where his work focuses on innovation, entrepreneurship, and how AI is used in real-world settings. Rather than developing core algorithms like researchers at OpenAI or DeepMind, Mollick studies and teaches how AI tools affect work, education, and decision-making—and he’s become one of the most influential voices on practical AI adoption."