Agentic AI May Power Two-Thirds of Marketing Tasks

Agentic artificial intelligence could power up to two-thirds of marketing activities and contribute to revenue growth ranging from 10 to 30 percent, according to a recent industry report, signalling a shift in how marketing functions are expected to operate in the coming years.

The report highlights the growing role of AI agents in automating and optimising marketing processes, from campaign execution to customer engagement. These systems are designed to perform tasks autonomously, using data and machine learning to make decisions, adapt strategies, and improve outcomes over time.

Agentic AI differs from earlier forms of automation by enabling systems to act independently rather than simply executing predefined instructions. This allows marketing teams to focus on higher-level strategy while AI agents handle repetitive and data-intensive tasks. The adoption of such systems is expected to increase efficiency and reduce operational complexity.

Marketing functions likely to be influenced by agentic AI include content creation, media planning, customer segmentation, and performance analysis. By analysing large volumes of data in real time, AI agents can identify patterns, predict outcomes, and optimise campaigns more effectively than traditional methods. This capability is expected to enhance decision-making and improve overall marketing performance.

The report also points to the potential for revenue gains, with businesses that adopt agentic AI expected to see measurable improvements in conversion rates and customer engagement. By delivering more personalised and timely interactions, AI-driven systems can help brands build stronger relationships with consumers and drive repeat business.

The shift towards agentic AI is part of a broader trend in the marketing technology landscape, where companies are increasingly investing in advanced tools to remain competitive. As digital channels continue to evolve, marketers are under pressure to deliver results that can be directly linked to business outcomes. AI agents are being positioned as a solution to bridge the gap between data analysis and execution.

However, the adoption of agentic AI also presents challenges. Organizations need to ensure that data quality and governance frameworks are in place to support these systems. Without reliable and integrated data, the effectiveness of AI agents can be limited. Additionally, there are considerations around transparency and accountability, particularly when decisions are made autonomously.

Industry experts note that while AI has been widely adopted in marketing, the transition to agentic systems represents a new phase of development. Companies are moving beyond basic automation to more sophisticated applications that can learn and adapt. This evolution is expected to reshape the structure of marketing teams and redefine roles within organisations.

The report suggests that businesses should approach adoption strategically, focusing on areas where AI can deliver the most value. This includes integrating AI tools with existing systems, training teams to work alongside automated solutions, and establishing clear metrics to measure performance.

The increasing role of AI in marketing also reflects changing consumer expectations. Customers now expect personalised experiences, quick responses, and seamless interactions across channels. Agentic AI systems are designed to meet these expectations by enabling real-time engagement and continuous optimisation.

As companies continue to explore the potential of agentic AI, investment in technology and talent is expected to grow. Organizations are likely to prioritise platforms that combine data, analytics, and automation capabilities, creating integrated ecosystems that support end-to-end marketing operations.

The report underscores the importance of aligning AI adoption with business objectives, ensuring that technology investments translate into tangible outcomes. While the full impact of agentic AI will depend on implementation and scale, its potential to transform marketing functions and drive revenue growth is becoming increasingly evident.