David Sacks used X to argue that software engineer job postings are rising even as AI tools automate more coding work, claiming there has been a “14x YoY increase in GitHub commits” and that the trend points to a “massive productivity boom” rather than a wave of AI-driven job losses.
In the post, Sacks asserted that AI has “dramatically lowered the cost of writing code,” which in turn has led to software being used across more businesses, applications, and use cases. He also claimed that “coding has been AI’s breakout use case this year” and that the increase in demand for engineers should “call into question” the broader “AI will cause mass job loss” narrative. He later asked Grok to “fact-check this.”
He followed up hours later with an “UPDATE,” stating that “the trend line is even stronger” and that both software job postings and AI-generated code “continue to grow by the week.”
Replies beneath the posts reflected a familiar split. Some commenters agreed that cheaper code could be expanding demand, with one citing “Jevons Paradox” and another arguing that AI agents eliminate bottlenecks rather than engineering jobs. Others pushed back on the 14x figure, noting that it may reflect agent output rather than human demand, and that commits are not the same as hires. One commenter also pointed to a separate 25% year-over-year commits figure from GitHub’s Octoverse, suggesting the headline number may need more context.
Several replies converged on a narrower point: AI may be changing the work, even if it does not remove the need for engineers. Commenters mentioned review, maintenance, architecture, security, and long-term ownership as areas that still require human oversight, while one argued that “job postings ≠ hires” and that the more meaningful data would be net hiring and unemployment trends.
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