WorkWhile CEO Bets AI Creates a Worker Shortage, Not a Job Shortage

Artificial intelligence has sparked debate about job losses, but WorkWhile CEO Simon Khalaf predicts a labor shortage instead. His startup has observed a 22% rise in demand for workers on its platform from July to August and a further 14% increase as of late September. Khalaf argues that AI infrastructure requires labor to build data centers, which will create demand for trades and occupations needed by other industries.

For example, forklift operators could be moved into data-center projects, leaving eCommerce and distribution companies competing for the same labor. WorkWhile's retention rate is above 95%, with a predictive model determining whether workers will thrive at a job based on previous experience. The company has reduced short-term absenteeism by more than half, and can identify potential cash shortages in workers to find additional shifts, overtime, or hours to generate income.

Around 40% of WorkWhile's workers rely on the platform as their sole or predominant source of income. The company trains and certifies workers for jobs, using AI to condense training materials. WorkWhile is expanding its technology beyond on-demand staffing to full-time hourly work, raising questions about continuity and training.