Back to Resources

Forbes: The Fear Of AI Job Loss Is Real, But It Isn’t Inevitable

For much of the past two years, the public conversation around artificial intelligence has been dominated by predictions of mass unemployment. With 2026 approaching, those warnings feel louder than ever. But it’s more complicated than that. AI doesn’t have to result in job cuts.

By: Carrie Rubinstein, Contributor at Forbes

This article was originally published in Forbes.

For much of the past two years, the public conversation around artificial intelligence has been dominated by predictions of mass unemployment. With 2026 approaching, those warnings feel louder than ever. But it’s more complicated than that. AI doesn’t have to result in job cuts.

In November, MIT released the Iceberg Index, a simulation analyzing 151 million U.S. workers, 923 occupations and 32,000 skills to determine which tasks today’s AI systems are technically capable of performing. Their findings showed AI could theoretically handle work equal to 11.7% of all U.S. wages, about $1.2 trillion worth of labor.

The researchers stressed this is task-level exposure, not a forecast of job losses. It represents what AI can do technically today, not what employers will actually choose to automate. That distinction, between technological capability and organizational choice, defines the moment companies now find themselves in.

Gal Rimon is the CEO and founder of Centrical, an employee performance intelligence platform that uses AI to translate real-time data into personalized learning, coaching workflows and daily guidance that maximize frontline performance. Before AI entered the picture, the company, founded in 2013, already worked to elevate frontline performance by linking goals, coaching and learning in one integrated employee experience platform. Rimon says the business leaders he works with are no longer choosing between reducing costs and supporting their teams. “Companies aren’t choosing between efficiency and employee growth anymore. They are trying to do both at once.”

Read the full article in Forbes

Request a Free Demo