Artificial intelligence will lead to a net increase in jobs, this expert claims

Workers need to get on board with artificial intelligence

In the two years that have followed the first public preview launch of ChatGPT, deployment of AI tools has varied from all-in approaches to more cautious investments, but the widespread concern that the technology could replace human workers has remained consistent throughout.

As the technology continues to evolve and businesses adapt accordingly, AI’s role in the workplace is slowly becoming more defined, and you might not have to worry so much about the security of your job.

AI as a creative partner

Several keynotes and panel discussions at this year’s World Congress on Innovation and Technology (WCIT) in Yerevan, Armenia revealed AI’s role as one of a coworker.

A key message conveyed during the event emphasized AI should be viewed as a starting point and a source of inspiration, providing the ideas that humans can refine and improve. The true value of human workers lies in their ability to add emotion, engagement and value-based decision-making, and allowing AI to handle more basic elements of your workload could allow you to increase how much you’re worth to your employer.

Considering AI as a collaborator rather than a competitor is becoming more popular in various industries, but particularly among creatives where the technology can process vast amounts of data, identify patterns and generate prototypes that can be distilled by actual human workers.

The balance between human and machine is especially important in fields where human emotions play a critical role. Whether it’s in marketing, customer service or leadership, the ability to connect with others on an emotional level is a uniquely human trait that tech giants will never truly replicate, as much as they try – and try, they do.

Although countless studies have already revealed that businesses lack the right data foundation to fully benefit from artificial intelligence, it does promise to assist with decision-making at the management level. >

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