Matt Garman
CEO, Amazon Web Services
“If you go forward 24 months from now, or some amount of time — I can't exactly predict where it is — it's possible that most developers are not coding.”
A growing collection of bold predictions from tech leaders about AI replacing software engineers. Let time be the judge.
Last updated: October 28, 2026
CEO, Amazon Web Services
“If you go forward 24 months from now, or some amount of time — I can't exactly predict where it is — it's possible that most developers are not coding.”
CEO, Anthropic
“I think we will be there in three to six months, where AI is writing 90% of the code. And then, in 12 months, we may be in a world where AI is writing essentially all of the code.”
CEO, Meta
“Probably in 2025, we at Meta, as well as the other companies that are basically working on this, are going to have an AI that can effectively be a sort of midlevel engineer that you have at your company that can write code.”
CEO, Tesla / xAI
“My guess is that we'll have AI that is smarter than any one human probably around the end of next year. By 2029, AI is probably smarter than all humans combined.”
CEO, Replit
“I don't think we're there yet, where they can run the entire company without hiring engineers, but that might be a year, 18 months away.”
CEO, OpenAI
“OpenAI is "not quite yet" at AGI, but by the end of the year the company will have an internal system he would call AGI.”
As reported by TIME. Only "not quite yet" is a verbatim quote; the rest is TIME's paraphrase of Altman.
CEO, InPost
“Za dwa lata sztuczna inteligencja zastąpi 25 proc. zawodów. Nie za 10 czy za 15 lat, ale za dwa lata.”
CEO, Tesla / xAI
“AI software will be so good that it will be Stockfish-level good, meaning that it will be impossible for a human to compete.”
Musk put this at 12 to 18 months out, alongside the claim that AI should be able to do anything digital by the end of 2027.
CEO (former), Stability AI
“There will be no programmers in five years.”
CEO, OpenAI
“Each software engineer will just do much, much more for a while. And then at some point, yeah, maybe we do need less software engineers.”
CEO, Replit
“We don't care about professional coders anymore.”
CEO, NVIDIA
“It is our job to create computing technology such that nobody has to program and that the programming language is human. Everybody in the world is now a programmer — that is the miracle.”
The same leaders, a little later. Statements where the people above hedge, soften, or quietly reverse their own predictions. Each one is paired with what they said before.
CEO, OpenAI
“Coders are never going to be busier than they have been, coders are never going to have more of an impact and make more money.”
CEO, NVIDIA
“Some people think AI will mean the end of people who write code, but the opposite is true. More people will write programs using the new tools, and every company will become an AI company.”
CEO, OpenAI
“I thought there would have been more impact on entry-level white-collar jobs. That is an area where my intuitions were just off.”
NVIDIA CEO Jensen Huang declared AGI has arrived. Most AI researchers disagree. Here's how his shifting claims compare to what experts actually mean by Artificial General Intelligence.
“I think it's now. I think we've achieved AGI.”Jensen Huang: We have achieved AGI now... sort of - Sherwood News
“The odds of 100,000 of those agents building Nvidia (are) zero percent.”Nvidia CEO Jensen Huang claims AGI has been 'achieved' - Yahoo Finance
“For many tasks, we could say that we have already achieved AGI.”Nvidia CEO: We've Achieved AGI, But It Doesn't Really Matter - Yahoo Finance
“I think all of those milestones... are kind of senseless at this point.”Nvidia CEO: We've Achieved AGI, But It Doesn't Really Matter - Yahoo Finance
A peer-reviewed framework for measuring progress toward AGI. Current frontier models (GPT-4, Claude, Gemini) are at Level 1 out of 5.
“There's absolutely no way that autoregressive LLMs, the type that we know today, will reach human intelligence.”
“There's no such thing as general intelligence, artificial or natural.”
“Current benchmarks like SAT and bar exams fail to distinguish between memorization and flexible learning.”