Sunday, May 22, 2022

Week #3 – MBA 6101 – Surfing the Tsunami, Chapter 3: If You Need Convincing to Take Action: Consider Data on AI’s Impact on the Job Market

In the third chapter of his book, Surfing the Tsunami: An Introduction to Artificial Intelligence and Options for Responding, Kelsey frames three perspectives for weighing the influence of artificial intelligence on the present and future job market. Independent of whether you view AI positively or cynically, Kelsey argues that “no one should be passive.”

According to Kelsey, the impact of AI can be seen with optimism, pessimism, or realism or, for some, an aggregate of or progression through all three points of view.

For the optimist, Kelsey suggests a few questions when approaching data. For example, do you think that the integration of artificial intelligence will have immediate or delayed? While the workplace has steadily adopted distinct types of technology over time, in recent years the pace of adoption of technologies like the inclusion of cloud computing or the use of video telephony apps (like Zoom) have been comparatively rapid. Or how will artificial intelligence effect the job market? Will AI reduce the number of roles for jobseekers, or will AI create opportunities and drive growth of the job market?

Along with Kelsey’s considerations for optimists, he also offers points for pessimists to ponder. For example, can the growing role of artificial intelligence and automation lead to the creation of more jobs for jobseekers. Like government and private sector initiatives to drive the creation of green jobs at the turn of the 21st century, can a similar push be made for “[investments] in workforce redevelopment [and] infrastructure” that nurtures a robust job market?

Ultimately, Kelsey advocates for a measured, realistic response to the mushrooming of artificial intelligence.  Rather than being overly hopeful or cynical about the potential outcome of AI’s influence, Kelsey suggests a less reactionary response. For example, “’adapting’ and learning more” about artificial intelligence, “adopting AI” when the opportunity arises, and becoming “adept” in AI.

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