Omnicom Media Group agency PHD Worldwide released the results of its proprietary research benchmarking knowledge, adoption, expectations, and apprehensions around AI. Conducted in partnership with WARC, the study surveyed more than 700 senior marketers and agency professionals across 10 countries ( Australia, Brazil, Canada, China, France, Germany, India, Japan, UK, and US). The findings revealed significant gaps in desire vs adoption and perceived vs actual AI knowledge.
The research highlights conflicting expectations around impact, including: An Adoption Gap: The desire for generative AI adoption significantly outpaces current utilization levels. While 35% of client-side marketers and 36% of agency marketers feel generative AI should be utilized to a high or extremely high extent, only 27% of client-side marketers and 26% of agency marketers are currently using it at this level; A Knowledge Gap: Nearly half of agency and client-side marketers (42%) consider their generative AI knowledge advanced, but quiz scores reveal a significant discrepancy between perceived and actual knowledge, with only 13.7% of all respondents scoring 2 or more out of 5 on the generative AI quiz; Client Focus on Efficiency: Although agencies and client-side marketers are equally focused on generative AI’s potential for innovation (52% and 51%, respectively), client-side marketers prioritize efficiency – 48% of client-side marketers prioritize streamlining repetitive tasks and freeing up resources, compared to 39% of agency marketers; and Technical Apprehension: Client-side marketers are more concerned about the lack of technical expertise in generative AI adoption than agency marketers. 38% of client-side marketers view the lack of relevant technical expertise as a limitation, while only 28% of agency marketers share this concern.
The findings also revealed that the more individuals knew about generative AI, the more they agreed that it would have a high or extremely high impact on marketing. Specifically, 44% of respondents with above-average knowledge agreed with this statement, compared to 32% of those with below-average knowledge.
Those with above-average knowledge were also more likely to see opportunities in new, innovative possibilities and ideas resulting from AI, rather than just streamlining repetitive tasks, 56% to 48%.
Respondents with above-average knowledge were also more likely to agree with the high cost of implementation, 43% to 32% of those with lower levels of knowledge, underscoring their ability to see the investment cost required for organizations to implement all the necessary components to create a fully connected enterprise platform.
Finally, only 21% of higher knowledge respondents believed that generative AI would replace actioning tasks currently carried out by agencies within the short term, versus 46% for those with below-average knowledge. This indicates that as the knowledge base increases, the perspective on AI’s ability to automate becomes more realistic about the need for human involvement.
“As marketing stakeholders look for clarity in an AI information landscape that seems to get more cluttered and confusing every day, PHD wanted to level-set the conversation to real-world perspectives and expectations,” said PHD Worldwide Chief Strategy Officer Mark Holden. “With this understanding, we can better help our clients eliminate the barriers to AI adoption in their marketing operations and strategies, enabling them to effectively leverage AI to outpace, outthink and outgrow their competitors.”
WARC Advisory Director Katie Sterling adds, “While AI technologies are likely to bring about vast changes in marketing functions through unparalleled levels of innovation, today we are seeing a clear disjoint between expectations and reality. Significant knowledge gaps will have to be closed before AI can fulfill its potential, despite the current ‘gold rush’ of AI investment.”
Implications from the PHD/WARC AI study will be further explored in PHD’s Ascension, the agency’s recently launched generative magazine offering a comprehensive and ongoing exploration of the impact of Generative AI on the marketing industry; and how clients and agencies alike will need to evolve their organizations and offers to effectively leverage the technology to drive business growth.