80-90% are falling behind what exactly, please? to not want to decrease your productivity by 20% and leak customer data sounds like surprisingly rational collective behaviour to me.. probably best to pay for chatbot/coding assistant subscriptions to any employee who wants it since they will use it anyway and “free” tiers are paid by data and integrating any “AI” used to attract investors in the last few years, but do you have statistics that paying customers actually want those AI powered products at nondumping prices? did anyone show any non-self-reported measured increase in productivity (in terms of what the company produces for which their customers pay, not lines of code)? did any early AI-first company other than nvidia report profit numbers instead of just revenue? do early adopters from 5 years ago do better than late adopters from 5 months ago?
tbh, “wait until it starts working” might be a good strategy if there is very little first-mover advantage.. AGI is not here yet, not sure any company can prepare for it by adopting current LLMs “more”
Behind in terms of productivity per engineer and building the next wave of high leverage features.
LLMs haven’t been good enough for long enough to obviously impact bottom lines yet, but the change in the derivative is pretty clear. Even if companies end up producing the same amount using AI tools due to other bottlenecks, AI tools cost less than human labor does to perform the same tasks, and that will result in companies that turn higher profits or are able to make businesses provides goods and services that would be unprofitable without LLMs.
80-90% are falling behind what exactly, please? to not want to decrease your productivity by 20% and leak customer data sounds like surprisingly rational collective behaviour to me.. probably best to pay for chatbot/coding assistant subscriptions to any employee who wants it since they will use it anyway and “free” tiers are paid by data and integrating any “AI” used to attract investors in the last few years, but do you have statistics that paying customers actually want those AI powered products at nondumping prices? did anyone show any non-self-reported measured increase in productivity (in terms of what the company produces for which their customers pay, not lines of code)? did any early AI-first company other than nvidia report profit numbers instead of just revenue? do early adopters from 5 years ago do better than late adopters from 5 months ago?
tbh, “wait until it starts working” might be a good strategy if there is very little first-mover advantage.. AGI is not here yet, not sure any company can prepare for it by adopting current LLMs “more”
Behind in terms of productivity per engineer and building the next wave of high leverage features.
LLMs haven’t been good enough for long enough to obviously impact bottom lines yet, but the change in the derivative is pretty clear. Even if companies end up producing the same amount using AI tools due to other bottlenecks, AI tools cost less than human labor does to perform the same tasks, and that will result in companies that turn higher profits or are able to make businesses provides goods and services that would be unprofitable without LLMs.