How is Generative AI disrupting work?
AI took a major leap with Generative AI and its ability to disrupt the way we work because of its ability to create content that profoundly supports human expertise and skills—writing memos and reports, designing website graphics, creating personalized marketing strategies, and curating employee learning programs, for example. The examples of Generative AI use cases by industry are boundless and illustrate the breadth of work that can be augmented using Generative AI. Ideally, Generative AI can bolster innovation, productivity, and outcomes while making work easier for people.
For business leaders, globally, the challenge is two-fold: understanding the possibilities and risks Generative AI brings and preparing for the inevitable organizational change that is headed their way. The future success of Generative AI will hinge on a renewed focus on humans.
What is Generative AI’s impact on humans?
By nurturing a workforce equipped to adapt, learn, and evolve with Generative AI, we can help ensure that we are shaping a future in which technology serves as a tool for human empowerment.
Despite all the hype, it’s not meant to replace humans, but to better unlock human potential—just as technology was always meant to do. The need for humans didn’t diminish with the invention of the personal computer. They got better and faster at accomplishing work. If done well, Generative AI can aspire to the same promise: Making humans better at work and work better for humans™. That said, executives should begin to consider “futureproofing” the Generative AI-enabled workforce because work is apt to shift quickly, and workers will need new skills.
Leading in a Generative AI era
By adopting a researcher’s mindset, digging into the technology to deeply understand and experiment with Generative AI, and then harnessing its collective human and AI potential in a way that is efficient and humane, the onus is on leaders to steer their organizations with vision, adaptability, and a deep commitment to human-centric progress. It isn’t necessary for executives to be Generative AI experts—what is important is to create and manage by a framework that focuses on and supports leadership’s vital role in guiding Generative AI-induced changes.
There’s quite a bit of work to do.
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