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AI disruption may still be in its infancy, but its impact on the agency world is already becoming apparent. In 2023, AI was the defining factor of agency life, with clients and agencies primarily focused on how AI would impact individual functions and improve efficiency. However, the macro-level changes that AI will bring to the agency world are equally important and cannot be ignored.
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What Clients Want from AI
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According to a poll conducted by Oliver’s Sharon Whale, UK marketers see generative AI as a key tool for finding efficiency gains in their organizations. The majority of marketers (89%) associate AI with enhancing operational procedures and efficiency, while 74% consider improvements in process efficiency as the main success criteria for AI implementation.
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When asked which areas of their marketing operations are most likely to face disruption from AI, respondents identified content production (89%) and social management (47%) as the top areas. Only 36% of respondents believed that reporting and insights would face disruption.
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These findings present both opportunities and warnings for agencies. Agile specialists have a significant opportunity to capitalize on the demand for AI-driven solutions. On the other hand, sluggish agencies that lack agility may struggle to meet client expectations and risk falling behind.
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The Agency-Client-AI Relationship
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The relationship between agencies and clients is constantly evolving, with technology often driving the change. However, AI represents a more significant shift in this relationship than anything seen since the advent of the internet.
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As AI becomes more integral to production and creative generation, the biggest challenge for the agency-client relationship is not strategic thinking or specialisms, but organizational and solution design, as well as overall process efficiency.
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To adapt to this shift, agencies of the future must prioritize four key elements. First, they need a structure that places customer data at the heart of the organization and breaks down silos. Second, they must embrace true agile methodology and training throughout the organization to drive transformation. Third, agencies need processes that support real-time or agile decision-making. And finally, they must have governance systems in place that enable them to sign off and manage risk at the required speed and quantity.
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Additionally, agencies must navigate the relationship between creativity and AI. While clients may have some functions established in-house, it is crucial that these teams have expertise in creative, strategy, and change management. Outsourced in-house teams can provide the necessary breadth of experience to drive successful AI-driven campaigns.
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A World for Specialists?
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When comparing the use of generative AI by creative, strategic, and change experts to its use by generalists, it becomes clear where the real value lies. Creative humans can drive exponentially better outcomes using AI, as the technology frees them from the process of creating work and allows them more time to think and add value.
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Those who can master both the creativity of AI and the process improvements will have a competitive advantage. They will be able to produce effective content quickly and deliver it to the right customers at the right time, achieving the desired outcomes.
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Therefore, having the best partners in technology, people, and process becomes even more critical for clients. Having generalists or non-creative individuals leading content creation will lead to a race to the bottom in terms of creativity and quality.
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Board Games
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The perception of marketing at the board level has long been a challenge for agencies. Without clear KPIs and results, marketing is often seen as a necessary cost rather than a value-add. This perception poses a significant problem for agencies and marketers, both currently and in the future. It is essential to ensure that KPIs align with overall business success and are not merely tactical tools.
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One way to address this issue is to build agency-client relationships centered on structures that prioritize customer data. This approach allows businesses to employ agile methodologies and training, leading to better sales and brand equity. Quality structures, agile working practices, efficient processes, and effective governance will continue to be foundational in driving success in AI-driven marketing efforts.
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AI is the driving force behind this shift in the agency world. It is already disrupting traditional agency models and challenging the reliance on strategic thinking and creative genius within outdated structures. The agencies of the future will fully embrace generative AI to enhance creative and strategic thinking, leveraging speed, agility, and technology to guide clients through transformation journeys and actively drive change across all aspects of their business.
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In conclusion, AI marketing disruption presents both opportunities and risks for agencies. The ones that embrace AI, prioritize customer data, and invest in the right partnerships and expertise will thrive in this evolving landscape. However, agencies that fail to adapt and lack agility may struggle to keep up and face existential risks. The key to success lies in harnessing the power of AI while maintaining a focus on creativity, quality, and long-term brand-building.
