Essay says 71 percent of US tech rebound hiring went to seniors

Tech postings peaked in February 2022, nine months before anyone had typed a prompt into ChatGPT. The thing that cut hiring was interest rates. The thing keeping the recovery from arriving is AI. That is the argument in an essay by Vithushan Sylvester, co-founder and CTO of IdeaBoxAI. It reached 51 points on Hacker News over the weekend.

The essay pulls together data from four sources. The US Bureau of Labor Statistics, Indeed Hiring Lab, CompTIA, and government statistics agencies in India and China. Sylvester calls it seven years of data across four regions. Each figure is sourced in the piece.

The numbers he puts on it

US information-sector jobs peaked at about 2.85 million in November 2022. The latest BLS figure, for September 2026, is 2.739 million. That is a 12.1 percent fall, or about 111,000 jobs. Sylvester notes it is the sector's lowest level outside the pandemic in more than a decade.

CompTIA's September 2026 Tech Jobs Report found that 349,821 of 625,633 active US tech postings asked for AI skills. That is 56 percent. Indeed Hiring Lab tracks the rebound separately. Of the US software-developer posting growth since May 2025, 71 percent went to senior roles. Entry-level roles took the remainder.

Youth unemployment is high in each country he looks at. The US figure for ages 16 to 19 is 14.5 percent. Sylvester notes that is 3.5 times the national rate of 4.2 percent. India's urban 15-to-29 rate is 19 percent, against an urban rate of 6.9 percent. China's urban 16-to-24 rate is 18.9 percent, excluding students, against an urban rate of 5.3 percent.

The claim Sylvester lands on

Sylvester separates the cause of the decline from the cause of the slow recovery. Postings peaked in February 2022, he writes, before ChatGPT launched that November. Rising interest rates had already begun pulling tech hiring down.

What AI has changed, in his reading, is who gets hired back. New postings target senior workers who are already fluent in AI tools. Entry-level roles used to be where companies grew juniors into those seniors. They are not coming back on the same curve.

What a hiring manager can take from it

Three things fall out of the data a team can act on. First, a job description that asks for AI skills competes with 56 percent of the US tech market. The AI line in the post is not a differentiator. Second, if the role is open at the senior level, Indeed's figures say the pipeline is there. If it is open at the junior level, the pipeline has thinned.

Third, the youth-unemployment figures across three countries show the entry-level problem is not a US story. A hiring manager building a team today has a choice to make. Keep the senior-only pattern Sylvester's data describes. Or spend the extra time training a junior to use the same AI tools the senior role asks for.

Source

The real impact of AI on tech jobs, Vithushan Sylvester.