generative AI is meaningfully reshaping the competitive value of depth. It’s not that deep expertise isn’t valuable anymore, but the way that generative AI tools can find, filter, and synthesize information at scale and with speed means that many of the aspects that could only be built in the process of developing deep expertise are now accessible without it. The expertise itself may still be valuable, but much of the knowledge that came along with it is no longer as rare or valuable as it once was. (View Highlight)
While generative AI will continue to undercut the value of depth, it has correspondingly increased the value of breadth. And so, Marc’s suggestion to the next generation? Go broad. (View Highlight)
In a world where AI allows you to quickly go deep and build quickly in any particular domain, the big questions are all the more important. The questions about what to build and why. (View Highlight)
This is an age-old problem for builders. We fall in love with building and forget to spend time thinking deeply about what we’re building and why. The cardinal sin of the entrepreneur/engineer/builder is that we design the right solution to the wrong question. We spend the lion’s share of our time working on strategy and execution at the cost of thinking about purpose and meaning. (View Highlight)
Might I suggest that the time might be even better spent engaging with philosophy, literature, history, religion, and art. (View Highlight)
the future is likely to reward the entrepreneurs that can build just enough expertise across a wide set of domains so that they can effectively leverage AI to amplify it. (View Highlight)