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Explore the unknown long-term costs of AI adoption and how your organization can make informed decisions to manage it.
The rapid adoption of artificial intelligence (AI) has become a critical component in building competitive advantage for many enterprises.
While these forward thinkers are experimenting with AI to streamline processes, enhance productivity, and create new products and services, many have not fully accounted for the true “total cost of ownership.”
The KPMG 2024 GenAI survey shows that 83 percent of respondents believe the investments into GenAI will increase over the next three years. Failure to gain transparency into the full spectrum of financial implications can create significant challenges in managing costs down the road
According to researchers, 55 percent of CIOs will deploy generative AI (GenAI) solutions within the next 24 months.1
1 Source: “2024 CIO and Technology Executive Agenda,” Gartner (Oct. 17, 2023)
This paper explores key considerations you should factor in as you go forward:
Cost components
in pre-development, development and running the technology
Different AI cost models
emerging in the marketplace
Managing costs over time
as the use of AI evolves
Selecting the right model for your needs
and understanding the costs
Dive into our thinking:
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