AI

For years, we feared automation would replace humans. But as AI reshapes the economy, it’s becoming clear that far from replacing human ingenuity, AI has amplified it. The critical dividing line in our economy is no longer simply education or specialization, but rather agency itself: the raw determination to make things happen without waiting for p... See more

“Our data is showing that 70 percent of the skills in the average job will have changed by 2030,” said Aneesh Raman, LinkedIn’s chief economic opportunity officer.

One way I visualize this relationship between the form of traditional UI and the function of AI is through the metaphor of a ‘workbench’. Just as a carpenter's workbench is familiar and purpose-built, providing an organized environment for tools and materials, a well-designed interface can create productive context for AI interactions. Rather than ... See more

A chat interface is a very weak and generic form. It’s a simple container for conversations back and forth, which is a start, but it isn’t precise, and it doesn’t effectively integrate with the rest of the tools and systems a team is using.

Prompting is essentially like writing a spec, sometimes it's hard to articulate exactly what you want and ultimately control the outcome. Two people looking for the same thing might get wildly different results just based on how they asked for it, which creates an unprecedented level of dynamism within the product.

Some counterarguments to the concerns about AI taking our jobs: (1) labor has maintained a relatively constant share of global income at ~50% of GDP since the Industrial Revolution; (2) automation will increase the productivity of workers in ways that increase the demand for their work (i.e., spreadsheets did not eliminate accountants); (3) AI auto... See more

There are a few characteristics of the markets/sectors where AI rollups will be particularly effective. In no particular order, these markets should be: (1) highly fragmented; (2) large and growing; (3) lacking technology expertise and reluctant to buy software; (4) high revenue, low margin; (5) driven by human knowledge work (human knowledge labor... See more