If you're serious about proving an AI correlation, you have to do better than two data points over one year. The leading hypothesis is that low interest rates l

If you're serious about proving an AI correlation, you have to do better than two data points over one year. The leading hypothesis is that low interest rates led to overhiring in tech, so now that interest rates are up companies are cutting excess jobs. To rule that out and give credence to an AI hypothesis, you need to go back several years to before the peak in the tech growth rate. We need a series of trend lines, not just a comparison of one year to another. Also, your selection of job titles is pretty small and doesn't account for other possible changes. The most obvious one: where are the full stack web engineers? From the data in TFA it's impossible to tell if companies aren't just consolidating their specialized frontend/backend roles into generalist roles.