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A growing collection of bold predictions from tech leaders about AI replacing software engineers. Let time be the judge.

Last updated: October 28, 2026

12
Predictions
4
Expired
5
Ticking
3+
Years of hype

The Predictions

DA

Dario Amodei

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.”
AI writes all code within 12 months
Said on March 10, 2025
Time since statement 1y 7m ago
Status Expired 7 months ago
CEO Speaker Series With Dario Amodei - Council on Foreign Relations
MZ

Mark Zuckerberg

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.”
AI replaces mid-level engineers in 2025
Said on January 10, 2025
Time since statement 1y 9m ago
Status Expired 10 months ago
Meta Is Building AI That Can Write Code Like a Mid-Level Engineer - Entrepreneur
AM

Amjad Masad

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.”
Companies run without engineers in 12-18 months
Said on May 21, 2025
Time since statement 1y 5m ago
Time remaining 23 days left
Replit CEO says companies soon won't need software developers - Semafor
SA

Sam Altman

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.

OpenAI has internal AGI by end of 2026
Said on August 26, 2026
Time since statement 2 months ago
Time remaining 2 months left
Inside OpenAI's Reboot - TIME
EM

Elon Musk

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.

Humans can't compete with AI at software within 18 months
Said on September 2, 2026
Time since statement 1 month ago
Time remaining 1y 4m left
Elon Musk Predicts Stockfish-Level AI Capabilities Within 12 To 18 Months - Stocktwits
JH

Jensen Huang

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.”
Nobody needs to learn to code anymore
Said on February 12, 2024
Time since statement 2y 8m ago
NVIDIA CEO: Every Country Needs Sovereign AI - NVIDIA Blog

Reality Check

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.

Sam Altman

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.”
October 23, 2026
Interview with podcaster Matthew Berman (date is the report's publication date)
Earlier, March 25, 2025
Fewer software engineers needed as AI takes over coding
Sam Altman: AI will make coders busier, not replace them - The Hans India

Jensen Huang

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.”
October 21, 2026
GTC Berlin 2026 — two years after telling the world nobody has to program anymore
Earlier, February 12, 2024
Nobody needs to learn to code anymore
Nvidia CEO Jensen Huang says AI will create more programmers, not replace them - Ynetnews

Sam Altman

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.”
May 26, 2026
Commonwealth Bank of Australia conference — said he was "delighted to be wrong" about an AI jobs apocalypse
Earlier, March 25, 2025
Fewer software engineers needed as AI takes over coding
Sam Altman Says AI 'Jobs Apocalypse' Probably Won't Happen. What Changed? - TIME

The AGI Debate

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.

Jensen Huang's shifting definition

March 22, 2026 — Lex Fridman podcast — when asked about AI capable of building a billion-dollar company
“I think it's now. I think we've achieved AGI.”
Jensen Huang: We have achieved AGI now... sort of - Sherwood News
March 22, 2026 — Same Lex Fridman interview — immediately qualifying his own AGI claim
“The odds of 100,000 of those agents building Nvidia (are) zero percent.”
Nvidia CEO Jensen Huang claims AGI has been 'achieved' - Yahoo Finance
August 26, 2026 — NVIDIA earnings call — five months after declaring AGI achieved, now with a qualifier
“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
August 26, 2026 — Same earnings call — dismissing the AGI milestone he had just claimed
“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

Google DeepMind — Levels of AGI

A peer-reviewed framework for measuring progress toward AGI. Current frontier models (GPT-4, Claude, Gemini) are at Level 1 out of 5.

1
Emerging We are here
Equal to or better than an unskilled human
2
Competent
At least 50th percentile of skilled adults
3
Expert
At least 90th percentile of skilled adults
4
Virtuoso
At least 99th percentile of skilled adults
5
Superhuman
Outperforms 100% of humans
Levels of AGI — Morris et al., Google DeepMind (arXiv)

What current AI still can't do

  • No causal reasoning — correlates patterns but doesn't understand cause and effect
  • Hallucination — still fabricates information with confidence
  • No persistent learning — cannot learn from new experiences in real time
  • No physical world understanding — fails at tasks trivial for humans
  • No metacognition — cannot monitor its own reasoning or recognize errors
  • Knowledge-bound — humans can reason about things they've never encountered; AI largely cannot