Retraining and Reskilling for AI – The State of AI Job Loss Today

Daniel Faggella

Daniel Faggella is Head of Research at Emerj. Called upon by the United Nations, World Bank, INTERPOL, and leading enterprises, Daniel is a globally sought-after expert on the competitive strategy implications of AI for business and government leaders.

Retraining and Reskilling for AI

One of the many concerns that business leaders have around automation is how they're going to adapt their workforce to new technology. The digital age has brought a rapid shift in the skillsets employees need to go about their jobs effectively, leaving little time for business leaders to come up with strategies for how to reskill and retrain their employees, prevent their companies from drawing disdain from the public, and how to compete with their peers.

The era of AI disruption has begun, and with it, many large companies are making press releases on how they've launched a new AI initiative—a chatbot or a management tool, for example. For the most part, however, these companies lack long-term AI strategies that consider the talent and skills their workforces will require in the coming decade and beyond.

In this article, we discuss the concepts of reskilling and retraining employees in the enterprise as AI adoption becomes more inevitable. First, however, we'll dispell the myth ...

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