CompTIA's September job ads rise while estimated tech employment falls

September brought more advertised demand for U.S. technology workers while employment estimates moved in the opposite direction. In its October 2 analysis, CompTIA counted 272,040 new IT job postings and 625,633 active postings, the latter its highest total in more than three years. It also estimated a decline in technology-sector employment.

For someone seeking a software or IT role, the development is a broader set of advertised opportunities, not confirmation that those openings became hires. Business Insider covered the job-openings story on October 4. The figures here come directly from CompTIA's release and describe September, rather than jobs created on the publication date.

Each measure describes a different labor market

New postings count advertisements added during the month; active postings describe the broader pool still being advertised. Neither figure is a count of completed hires. CompTIA draws its employer-posting data from Lightcast and its employment analysis from the U.S. Bureau of Labor Statistics.

The employment measures also cover different populations. CompTIA estimates that the technology sector lost 10,350 positions in September. Separately, employment in technology occupations across all industries fell by roughly 6,000. The first groups employers by industry; the second follows technical roles wherever their employer sits. Adding the two declines together would therefore be misleading.

These findings can coexist with rising ads: employer interest and changes in the number of people employed are different stages of the market. The release does not provide the evidence needed to determine how many of these advertisements resulted in a hire, or to assign the employment decline to AI.

An AI skill requirement is broader than an AI job title

The report's AI figures make another distinction useful. CompTIA counted 349,821 active postings requiring AI-related skills, compared with 13,636 in its dedicated AI and machine-learning job-title group. Those counts describe different classifications; they should not be added together or read as equivalent numbers of specialist AI jobs.

For an applicant, the relevant question is what a specific role expects them to do. A mention of AI skills does not, by itself, define whether the work involves developing models, integrating tools or using an existing application. Read the advertised tasks and requirements before deciding that a new occupational label or training path is necessary. That is our interpretation of the classification difference, rather than a claim that CompTIA measured hiring outcomes for those tasks.

Use the broader industry view, with revision limits

CompTIA says 16 of the 20 industries it tracks recorded monthly increases in tech postings. That gives a job seeker a reason to look beyond employers whose main business is technology, while keeping searches tied to their actual role and skills.

The release warns that the underlying data may be revised and that monthly occupation-level employment estimates are relatively volatile. One month supplies a useful signal for a search; it does not settle the longer-term direction of technology employment or prove that AI caused a recovery. The next reports—and evidence that advertised roles turn into employment—will be needed to assess that larger claim.