Category: Python

In 2019 I wrote a post with seven reasons policy professionals should learn to code. Now that AI can write reasonable code, I’ve had a number of people ask me if it’s still worth learning to program. Based on the evidence I’ve seen, AI appears to be a an amplifier, rather than a substitute for human intelligence in the policy space: meaning the people that get the most out of AI are likely to be those that know how to instruct AI to tackle a problem and tell good output from bad. So my answer is yes, learning to code still makes sense. Not necessarily so you can write the code yourself, but so you can make AI a force multiplier for your work.