How to build the next generation of AI talent

Building a pipeline of AI talent and projects requires technical as well as educational merit. For this, AI centres of excellence led by world-renowned scientific advisors are necessary.
Stronger AI ecosystems emerge when government to grassroots initiatives get involved.
AI ecosystems materialize as value networks. They redesign the entry margin for stakeholders to start their journey into AI, offering them a path to participate.

The benefits of artificial intelligence as a catalyst for economic growth are distributed unevenly across cities around the world. Consequently, so is its talent. The AI hubs that we know of in Boston, Silicon Valley, Toronto (and so on) don’t exist in the heartland of the United States or in emerging or frontier markets globally.

These AI hubs are all anchored by some of the greatest learning institutions in the world, led by scientific advisors who attract global talent. Without such an AI ecosystem, you will not be able to build the next generation of AI talent.

In AI development, while technology and algorithms have been commoditized, skilled workers that are able to create solutions to AI problems are the most important factor. There is a demand for a whole generation of workers with capacities in artificial intelligence. This will be the generation of talent that will support national interest in aerospace, defense, education, housing, transportation, public safety, supply chain, manufacturing, and many other industries critical to the nation’s safekeeping.

Supporting the next generation of AI talent now

As John F. Kennedy put it: “Fix the roof when the sun is shining.” And by all indications, the sun is shining on American AI achievements.

Simultaneously, to maintain this lead, it’s time to build the next generation of AI talent now. The United States of America is the global leader within the field of artificial intelligence as it relates to publications, capital invested, conference citations, net new funded companies, and patents accepted, according to Stanford University Artificial Intelligence Index Report 2022.

If we set the States as the northstar for AI ecosystems, we can identify opportunities for emerging tech hubs to grow their local ecosystems, too. According to Stanford University Artificial Intelligence Index Report 2022, the US Government spent the highest amount on AI contracting at the Department of Defense in 2021, and the lowest at the National Science Foundation (NSF).

Building a pipeline of AI talent and projects requires technical as well as educational merit. For this, AI centres of excellence led by world-renowned scientific advisors are necessary.

Stronger AI ecosystems emerge when government to grassroots initiatives get involved.

AI ecosystems materialize as value networks. They redesign the entry margin for stakeholders to start their journey into AI, offering them a path to participate.

Supporting the next generation of AI talent now

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