Will generative AI replace most jobs?
In this InTechnology video, Camille talks with Lareina Yee, Senior Partner at McKinsey & Company. They get into the recent generative AI boom, how enterprises are deploying gen AI, and the exciting future of gen AI.
The Generative AI Boom
Lareina likens the swift adoption of generative AI to that of social media, highlighting how ChatGPT’s user base quickly exceeded the initial growth benchmarks of leading social media platforms. She attributes the remarkable rise of generative AI to its accessibility, facilitated by natural language processing, and the availability of consumer applications at little to no cost. This ease of access has enabled many to become what she terms power users. This rapid adoption has led to the belief that we are on the brink of a significant technological shift, particularly in the workplace. Lareina notes that this is the first time a considerable portion of knowledge workers’ activities could be augmented by AI. However, she emphasizes that while some tasks may be automated by generative AI, humans remain essential to the process, anticipating a gradual evolution in our relationship with machines. She also points out that generative AI is not always the optimal tool for every task but can be a valuable addition to a broader toolkit.
How Enterprises Are Deploying Gen AI
When asked by Camille about enterprise adoption of generative AI, Lareina explains that most companies are still in the early stages of awareness and deployment. She envisions three enterprise-level gen AI adoption categories: Makers, Shapers, and Takers. Makers will develop their own large language models (LLMs), particularly if their business involves data or model building. Shapers will utilize a base model, enhancing it with proprietary data to create custom applications. Takers will leverage ready-made models or generative AI features integrated into existing software to add value to their business operations.
Lareina underscores the importance of having a clear purpose when implementing generative AI. She observes that companies achieve the most success by selecting two or three specific use cases, investing deeply in them, and then deploying at scale. For instance, using AI to support call centers has reportedly yielded positive outcomes. The overarching message is that generative AI has the potential to revolutionize work, but it is crucial to adopt a strategic approach, prioritize high-value use cases, and consider potential risks before diving in.
The Bright Future of Gen AI
The discussion concludes with Lareina’s optimistic perspective on the future of generative AI, informed by her research and analysis. She reassures that it is not too late for companies to explore generative AI and its potential benefits. However, she advises leaders to be thoughtful in deploying AI, taking into account safeguards and risks at both the enterprise and societal levels. Lareina also shares the enjoyable aspects of experimenting with generative AI as a consumer, providing examples of how she uses AI in her work and teaching her children to use AI tools responsibly.
Lareina Yee, Senior Partner at McKinsey & Company
Lareina has been a Senior Partner at McKinsey for over 20 years. She chairs McKinsey’s Global Technology Council and was the firm’s inaugural Chief Inclusion, Equity, and Diversity Officer. Lareina co-founded Women in the Workplace, a research initiative between McKinsey and LeanIn.org, and contributed to McKinsey’s Race in the Workplace research study. Beyond her work at McKinsey, she serves on the boards of Safe & Sound and the San Francisco Ballet. Lareina holds a Master’s degree in International Economics from the School of International and Public Affairs at Columbia University.
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The views and opinions expressed are those of the guests and author and do not necessarily reflect the official policy or position of Intel Corporation.
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