Introduction

Generative AI has a huge impact on technology, from rewriting emails to finding new healthcare treatments. Because of this, the value it creates is too wide to be described in just one way. Enterprises and CIOs need to create different business cases for GenAI, each showing different types of values: return on employee, return on investment, and return on the future.

Gartner has identified and defined three GenAI business case patterns with three different values:

Gen AI Business Case Types

What Return Can You Expect?

The Gartner report states that “Extend initiatives are typically focused on specific business processes targeting improvement in specific, preexisting, business outcome-driven metrics. The most common extend initiatives are in customer service (of which there are many examples), marketing and software engineering.” According to Gartner, extend initiatives are creating the most certain and significant near-term financial value creation.

Defend (Return on Employee)

180%

Increase in average net promoter score (NPS) of digital workers

Extend (Return on Investment)

83%

Strong, near-term financial return

Upend (Return on the Future)

200%

High-risk, long-term return, innovation-driven

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Footnotes

Gartner, The 3 Business Cases of Generative AI Value, Nate Suda, Hung LeHong. 6 January 2025

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. 

  1. As of May 2023, AMD has the first available dedicated AI engine on an x86 Windows processor, where 'dedicated AI engine' is defined as an AI engine that has no function other than to process AI inference models and is part of the x86 processor die. For detailed information, please check: https://www.amd.com/en/technologies/xdna.html. PHX-3a
  2. As of May 2023, AMD has the first available dedicated AI engine on an x86 Windows processor, where 'dedicated AI engine' is defined as an AI engine that has no function other than to process AI inference models and is part of the x86 processor die. For detailed information, please check: https://www.amd.com/en/technologies/xdna.html. PHX-3a