White-Collar and Tech Jobs May See Growth in Early 2026

Recent year-end job data from the Bureau of Labor Statistics has prompted discussions regarding a potential white-collar slump or hiring recession. A new predictive model from Toptal, a global staffing consultancy, suggests possible improvements in the U.S. labor market ahead.

U.S. Job Market Trends

Job growth across the entire U.S. market has been declining at a rate of approximately 11% per year over the past several years. This decline is projected to continue through March 2026. However, the model indicates a slightly more positive outlook for professional services and technology jobs.

Job growth in the professional services market, encompassing areas like customer service, marketing, accounting, and law, has also been decreasing by roughly 11% annually. While this decline is expected to persist in the first quarter of 2026, the rate of decrease is anticipated to be less than 11%. A decline in job growth does not signify job losses, but rather a slower rate of job creation compared to previous periods.

Technology Job Market Outlook

The technology job market is predicted to experience the most significant turnaround. Job growth in this sector has fallen by about 21% per year in recent years. The model forecasts a slight increase in job growth within the technology sector during the first quarter of 2026.

This potential upturn is attributed to companies moving beyond initial AI experimentation toward broader implementation, which is increasing the demand for specialized technical expertise. This trajectory aligns with Bureau of Labor Statistics projections, which anticipate substantial employment growth in computer and information technology through 2034.

Data Source and Methodology

The predictive model is based on remote job openings, specifically data from We Work Remotely (WWR), the world’s largest remote job board. Toptal has exclusive access to this data and cross-references WWR trends with its own client demand for remote and hybrid professionals.

The use of remote hiring patterns as a predictive indicator is based on the premise that companies utilize remote hiring to test the waters before committing to permanent hires, similar to how temporary staffing data has historically served as a bellwether. Remote work allows companies to access a larger global talent pool for immediate needs and to pilot new initiatives with distributed teams.

The report emphasizes that these projections are directional indicators rather than precise predictions, offering a valuable early signal amid ongoing economic uncertainty.