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The Future of Marketing Jobs: Embracing AI and Generative AI Strategy


The landscape of marketing is constantly evolving, and one of the most significant developments in recent years is the integration of artificial intelligence (AI) into various marketing strategies. The rise of AI has created a demand for new job roles that specialize in leveraging this technology to drive marketing success. In particular, the emergence of generative AI has sparked interest and debate among marketers and industry experts.

According to Adzuna data cited by CNBC, the demand for AI skills in the United States job market is on the rise. As of June, there were nearly 170,000 open AI-related positions, with more than 3,500 specifically requiring skills in generative AI. This data highlights the growing importance of AI expertise in the marketing industry.

However, despite the increasing demand for AI skills in marketing, the appointment of a dedicated generative AI-specific role is not yet widespread. Companies and marketing agencies are still exploring the possibilities and implications of integrating generative AI into their strategies. Many traditional advertisers are not convinced that a specialized role is necessary at this stage, as the technology is still in its early stages.

While some companies may dismiss the need for a generative AI-specific role currently, industry experts believe that there will be a need for a leader to connect the dots in the future. Oleg Korenfeld, the Chief Technology Officer at CMI Media Group, acknowledges that generative AI is still an amorphous field with numerous applications. However, he suggests that as the technology advances, companies will require a dedicated leader to guide their generative AI strategies.

The appointment of a generative AI strategy leader would involve overseeing the integration of generative AI into marketing campaigns, identifying opportunities for its implementation, and ensuring its alignment with overall business objectives. This role would require a deep understanding of both marketing principles and AI technologies, as well as the ability to navigate the complexities of this emerging field.

Despite the potential benefits of having a generative AI strategy leader, some industry experts argue that it may be premature to create such a position. Keith Johnston, the VP and Group Director at Forrester Research, believes that the time is not yet right for appointing generative AI-specific roles. He suggests that companies should focus on understanding the technology and its implications before designating a dedicated position.

Nick Coronges, the Executive VP and Global Chief Technology Officer at R/GA, shares a similar sentiment. While some of R/GA’s clients are considering the idea of a generative AI-specific role, there are no formal plans in place at the agency to create such a position. Coronges believes that carving out a dedicated title for generative AI could be premature and counterproductive to early efforts in exploring the technology’s potential.

Although some companies and agencies may not be ready to adopt a generative AI-specific role, they are still embracing the strategic possibilities of AI in their marketing efforts. Alex Steer, the Global Chief Data Officer at Wunderman Thompson, notes that brands and agencies are moving people into new roles that involve leading generative AI strategies, even if the title does not explicitly reference the technology.

By refraining from using the term “generative AI” in job titles, companies can avoid pigeonholing their use of AI solely to the generative subset. Instead, they opt for broader titles and remits that encompass a wider range of AI applications in marketing. This approach allows flexibility and promotes the exploration of various AI technologies without being limited to a specific niche.

While the role of a chief AI officer is relatively new and more prevalent in niche tech and engineering companies, it sparks discussions about its potential value within marketing agencies. The appointment of a chief AI officer signifies a strategic investment in AI expertise and leadership to drive innovation and competitive advantage.

However, there are challenges associated with appointing a chief AI officer. The fast-paced nature of AI advancements requires the chief AI officer to stay updated on the latest trends and technologies continually. They must also navigate the ethical considerations and potential risks associated with AI, such as data privacy concerns and algorithmic biases.

Despite these challenges, the role of a chief AI officer exemplifies the increasing recognition of AI as a transformative force in marketing. As AI continues to evolve, it will become crucial for companies to have dedicated leaders who can navigate the complexities of this technology and leverage its potential effectively.

As the demand for AI skills in marketing continues to grow, it is clear that AI will play a significant role in shaping the future of the industry. While a generative AI-specific role may not be prevalent yet, companies and agencies are already embracing AI strategies and integrating AI expertise into their marketing teams.

The key to success lies in understanding the potential of AI and how it can be applied strategically to achieve marketing objectives. Whether it’s through the appointment of a generative AI strategy leader, the expansion of AI-focused roles, or the creation of a chief AI officer position, organizations must adapt to the changing landscape of marketing and leverage AI to stay competitive.

As AI technology continues to advance, marketing professionals must embrace lifelong learning to stay at the forefront of industry trends. By continuously upskilling and expanding their knowledge of AI, marketers can position themselves as valuable assets in an increasingly AI-driven marketing landscape.

The integration of AI into marketing strategies is an exciting and transformative development. While the appointment of a dedicated generative AI-specific role may still be a topic of debate, the demand for AI skills in marketing is undeniable. As companies and agencies explore the possibilities of AI and embrace its strategic potential, the future of AI jobs in marketing will undoubtedly be characterized by innovation and adaptability.

To thrive in this evolving landscape, marketers must stay informed about the latest AI trends, upskill themselves in AI technologies, and be open to embracing new AI-focused roles. By doing so, they can leverage AI to drive marketing success, deliver personalized experiences to consumers, and stay ahead of the competition in the ever-evolving digital era.


Q: What is generative AI?
A: Generative AI refers to a subset of artificial intelligence that focuses on creating new and original content, such as images, text, or music. It involves training models on large datasets to generate unique outputs that mimic human creativity.

Q: Why is AI important in marketing?
A: AI offers numerous benefits in marketing, including improved personalization, more efficient data analysis, enhanced customer experiences, and automation of repetitive tasks. By leveraging AI, marketers can gain valuable insights, optimize campaigns, and deliver targeted messages to the right audience at the right time.

Q: What are the challenges of integrating AI into marketing strategies?
A: Some challenges of integrating AI into marketing strategies include ensuring data privacy and security, addressing algorithmic biases, managing ethical considerations, and keeping up with the rapid advancements in AI technology. It is essential to strike a balance between leveraging the benefits of AI and addressing these challenges effectively.

Q: How can marketers prepare for the future of AI in marketing?
A: To prepare for the future of AI in marketing, marketers should invest in continuous learning and upskilling in AI technologies. They should stay informed about the latest trends and advancements in AI, explore AI-focused roles within their organizations, and actively seek opportunities to apply AI strategies to achieve marketing objectives.

Q: What is the role of a chief AI officer?
A: A chief AI officer is a leadership role responsible for overseeing the integration and strategic implementation of AI technologies within an organization. They drive AI strategy, manage research and development initiatives, and ensure alignment with business objectives. The chief AI officer plays a crucial role in leveraging AI to drive innovation and competitive advantage.

First reported by AdAge.

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