Yes, it’s not linear. The progress of GenAI in the past 2 years is logarithmic at best, if you compare it with the boom that was 2019-2023 (from GPT2 to GPT4 in text, DALL-E 1 to 3 in images). The big companies trained their networks on all of the internet and ran out of training data, if you compare GPT4 to GPT5 it’s pretty obvious. Unless there’s a significant algorithmic breakthrough (which is looking less and less likely), at least text-based AI is not going to have another order-of-magniture improvement for a long time. Sure, it can already replace like 10% of devs who are doing boring JS stuff, but replacing at least half of the dev workforce is a pipe dream of the C-suite for now.
Yes, it’s not linear. The progress of GenAI in the past 2 years is logarithmic at best, if you compare it with the boom that was 2019-2023 (from GPT2 to GPT4 in text, DALL-E 1 to 3 in images). The big companies trained their networks on all of the internet and ran out of training data, if you compare GPT4 to GPT5 it’s pretty obvious. Unless there’s a significant algorithmic breakthrough (which is looking less and less likely), at least text-based AI is not going to have another order-of-magniture improvement for a long time. Sure, it can already replace like 10% of devs who are doing boring JS stuff, but replacing at least half of the dev workforce is a pipe dream of the C-suite for now.