The Evolution of AI Talent and Training (AI Zeitgeist 3 of 7)

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.

The Evolution of AI Talent and Training - AI Zeitgeist 3

This article is part 3 of a 7-part series called "AI Zeitgeist," where we'll be mapping out the details of AI adoption over the next 10 years and explore the critical changes in the AI ecosystem that business leaders need to understand.

In this installment of the Zeitgeist series, we'll be talking about how the accessibility of AI talent and the requirements for training employees on the basics of AI functionality will evolve as we move from the "Emergence" phase, where AI talent is exceedingly rare, to the "Dispersion" phase, where the basic concepts of AI are as well understood by the average employee as the internet is today.

(Note: If you haven't read the first article in the AI Zeitgeist series, you should familiarize yourself with it first. In that article, I explain what the 3 phases of "Emergence," "Adoption," and "Dispersion" actually mean).
Making artificial intelligence work in business is about more than data and algorithms; it’s about people and skills.
While there...

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