Podcast ¦ PunkCX : Forget the hype. Here’s what enterprises are actually doing with generative AI

Summary

In this podcast episode, Adrian Swisco interviews Jeremy Korst, former executive of Microsoft and T Mobile and current president of GbK, and Stefano Puntoni, director of AI at Wharton, about the rise of generative AI in the enterprise. They discuss the findings of their recent report on the adoption of generative AI in companies, which revealed that over 50% of the surveyed executives are already using generative AI tools in their work. The report also highlights that smaller enterprises have higher usage of AI compared to larger companies, and that there is an association between AI usage and optimism and excitement about the technology. The podcast explores the reasons behind the lower adoption of AI in marketing compared to other functions, and discusses the potential benefits and challenges of generative AI in various industries.

Key Points

• Over 50% of the surveyed executives are already using generative AI tools in their work.
• Smaller enterprises have higher usage of AI compared to larger companies.
• There is an association between AI usage and optimism and excitement about the technology.
• Marketing seems to have lower adoption of AI compared to other functions.
• The report includes a long list of use cases for generative AI, with high interest from companies across industries.
• Generative AI is already percolating into the work practices of many companies, with teams working on different use cases.

Key Statistics

• Total number of executives surveyed: 670
• Percentage of surveyed executives using generative AI tools: over 50%
• Percentage of companies pursuing or planning to pursue various use cases: upwards of 70-80%

Key Take Aways

• The adoption of generative AI in the enterprise is already significant, with over 50% of executives using AI tools.
• Smaller enterprises show higher usage of AI compared to larger companies.
• Executives who use AI at work have more positive associations and expectations about the technology.
• Marketing functions seem to have lower adoption of AI compared to other functions.
• Generative AI has a wide range of potential use cases across industries.
• The adoption of generative AI is expected to continue growing in the coming months.
• Companies are exploring multiple use cases for generative AI.
• The success of generative AI will depend on the ability to realize real gains from its implementation.
• The survey highlights the need for further research on governance and best practices for AI adoption.
• AI adoption requires understanding and analysis of data, leading to changes in marketing roles and skillsets.
• There may be fatigue among marketers due to the rapid changes in the marketing function and the adoption of various technologies.
• The potential benefits of generative AI include efficiency, scalability, and automation of tasks.
• Challenges of generative AI include ethical considerations, bias, and the need for transparency and explainability.