Organizational Investment Strategies for Generative AI
About this report
Data collection: August 26th – September 13th, 2023
Respondents: 85 finance managers, directors, VPs, and C Level professionals
Organizational Investment Strategies for Generative AI
There is vast potential with generative AI tools and businesses are deciding how to best
allocate funds for this technology. How are finance leaders beginning their
organization’s Generative AI investment journeys, and what are they prioritizing?
One minute insights:
IT is the most common team receiving funding
Most respondents consider budgeting for GenAI as a medium or high priority, and expect this priority level to rise
Ethical implications and data security are the most commonly selected risks associated with GenAI
About one-third of respondents report personally using GenAI for their job function
Driven by CEO and board pressure, finance teams are experimenting with GenAI to improve growth and risk management
When it comes to GenAI usage, 43% of respondents report that their finance team is experimenting with isolated projects (28%), have integrated into some processes (9%) or are fully integrated across operations (6%).
Among finance professionals whose organization’s have fully/partially integrated GenAI into their investments budget or who are experimenting with it (n=37), the top reported reason for allocating resources for GenAI tools or solutions is for risk management (47%), followed by growth (28%).
The three most commonly selected motivators behind allocating resources for GenAI tools or solutions are the board (62%), the CEO (59%) and CFO (57%).
IT is the most common team receiving funding and seeing an impact with GenAI, but few are utilizing GenAI for personal use in finance
49% of respondents report IT has, or will receive, funding specifically for investing in GenAI tools or solutions. 43% report finance.
GenAI investments in IT (24%) have the most tangible impact.
About one-third (32%) of respondents reportedly use GenAI personally for their work functions.
Despite the potential negative ethical implications of GenAI, many finance teams report budget allocation is an increasing priority
Respondents cite ethical implications (70%) and data security (62%) as the most common risks associated with investing in GenAI tools or solutions
59% of respondents say allocating a budget for GenAI investments is a medium or high priority.
60% say this priority level will increase slightly (49%) or strongly (11%) in the next 12 months.
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