KPMG Bets Big On Generative AI-Fueled Productivity

Share

KPMG has made the most explicit statement yet on how it expects generative AI (genAI) to improve its business. It joins Deloitte, EY, and PwC in stating its intent of over $1 billion investments in AI. KPMG expects that its $2 billion investment “through an expanded partnership with Microsoft” will generate $12 billion over that same period. That means KPMG expects AI to improve productivity dramatically.

This is a prime example of AI running into KPMG from the top-down door (one of four doors that genAI walks through into enterprises). KPMG will automate what the US CEO Paul Knopp calls “mundane tasks” in tax, audit, and consulting and empower employees with better tools (copilots) that make them more productive. What does this investment in AI and the Microsoft partnership mean for KPMG’s clients?

  • You should expect steady improvements in work turnarounds. If a machine can ingest a file cabinet of tax information and present an accurate (and reviewed, of course) financial summary in hours rather than weeks or months, that should deliver real benefits for you.
  • You should expect steady improvements in quality. If KPMG and Microsoft do this well, they will adopt a “layers, gates, and pipes” approach to building applications that incorporates the best AIs (layers of intelligence) while protecting the inputs and outputs (control gates) and creating new applications by stitching the AIs together (application pipes). That means they will be able to build AI-powered applications that empower employees and steadily improve them over time.
  • You should expect KPMG to ask you to value the outcomes, not the labor. If someone is twice as productive, should you pay them twice as much? The old approach of time and materials pricing won’t handle this radical jump in productivity very well. Expect to learn how to price outcomes.
  • You should expect a deeper relationship between KPMG and Microsoft. That means more Microsoft infrastructure and applications rather than Amazon or Google.

Let’s Connect

If you’re a Forrester client and you would like to learn more, please set up a time for us to talk. I can help direct you to the best analyst to speak with if I’m not the best person. You can also follow or connect with me on LinkedIn if you’d like. If your company has expertise to share on this topic, feel free to submit a briefing request.

Share
Categories
See Ted Schadler at:
Technology & Innovation Forum East

New York City

Learn more and register
Blog

Turn AEGIS Controls Into An Agentic AI Security Stack

Jeff Pollard 7 hours ago
Agentic AI creates control, technology, and purchasing problems. Security leaders need to know the controls that they must satisfy, the technologies that can satisfy them, where existing tools already provide coverage, and where a new investment actually fills a gap. Far too often, we see clients conducting that process in reverse order … trying to […]
Blog

Your AI Strategy Already Made A Risk Decision. Have You?

Mark Ogne 3 days ago
How do you know when an AI use case is too risky to pursue? The answer has less to do with the technology itself and more to do with whether your organization has the governance, processes, and decision-making discipline needed to support it.

Get The Insights At Work Newsletter

Thanks for signing up.

Stay tuned for updates from the Forrester blogs.