Barriers Stand In The Way Of GenAI Ambitions A shortage of in-house expertise means heavy industry decision-makers lack the ability to remedy a host of common genAI obstacles, including difficulty deploying and scaling early prototypes, integrating with existing infrastructure, and developing a clear strategy. These issues make it hard to build strategic momentum around early genAI successes. Top GenAI Barriers Challenges Hinder GenAI Adoption And Expansion Decision-makers understand that addressing top genAI challenges is necessary to capitalize on genAI opportunities while protecting against any negative outcomes. To date, just 42% of early adopters have scaled genAI beyond the individual or team level. Likely Consequences Of Failing To Adequately Address GenAI Challenges Eroded experiences 46% Security and compliance risk 40% Limited repeatability and scalability 32% PEOPLE- OR PROCESS-RELATED DATA- OR TECHNOLOGY-RELATED Difficulty deploying and scaling early prototypes 50% Difficulty integrating with existing infrastructure 44% Shortage of in-house genAI expertise 48% Lack of enterprise tools to work with the models 43% Lack of a clear genAI strategy 41% Data security concerns 43% Difficulty identifying genAI use cases in my organization’s business 40% Inadequate data strategy 40% 13 © FORRESTER RESEARCH, INC. ALL RIGHTS RESERVED. 12 Base: 96 leaders in North America with authority or influence over AI and/or analytics decisions at energy/utilities, heavy manufacturing, and chemical manufacturing organizations Source: A commissioned study conducted by Forrester Consulting on behalf of C3.ai, February 2024 Base: 96 leaders in North America with authority or influence over AI and/or analytics decisions at energy/utilities, heavy manufacturing, and chemical manufacturing organizations Source: A commissioned study conducted by Forrester Consulting on behalf of C3.ai, February 2024
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