Economics of AI · With Ashish Kulkarni
Make sense of AI
through economics.
Who gains, who pays, and what India should do about the difference.
I’m Ashish Kulkarni, an economist in Pune. I teach the economics of AI at Takshashila, build AI tools for patent attorneys at IPSpring, and write at Econ For Everybody. All three rest on what I read; this is where I share it, with my notes. More on LinkedIn ↗
Start with the ten big ideas
Ten minutes to build a framework.
Bring a headline that puzzles you.
How does work change?Who captures the value?What can India do?
Prefer a talk?
Explore the economics of AI, its effects on work, and how innovation spreads.
Explore the three talksWant to read further?
Start with a question. I’ll explain the idea, point to evidence, and show where the picture gets more complicated.
Find your next readingFrom the reading library
Explore the library- An explanationThe task is not the jobWhy being able to do part of someone’s work is different from replacing them.
- The evidenceHow firms actually use AIA U.S. Census study separates AI use in tasks from changes across a business.
- A qualificationWhat happens to the first job?Evidence about young workers asks us to look beyond the economy-wide picture.