EPAM CMO discusses AI’s role in marketing as an always-on function

Marketing as an intelligent, always-on function

Phil Walsh, SVP and Chief Marketing Officer at EPAM, discussed how marketing is evolving in what he calls an "AI-native era" during a conversation with YourStory. According to the report, Walsh described marketing as shifting toward an "intelligent, always-on function" enabled by data, engineering, and AI. This approach, he said, allows enterprises to deliver personalized experiences at scale while maintaining human judgment and creativity at the center of AI-driven decisions.

Balancing AI automation with human oversight

Walsh highlighted the importance of responsible AI and human oversight in marketing. He noted that while AI and data can automate and scale personalization, human creativity and judgment remain critical to guiding these systems. This balance, he suggested, is what distinguishes truly AI-native organizations from those merely using AI tools.

Convergence of marketing and technology

The discussion also touched on the growing convergence of marketing and technology. Walsh reported that marketing teams increasingly rely on engineering and data teams to build systems capable of real-time customer engagement. This shift, according to the report, requires organizations to rethink how marketing functions operate alongside technical teams.

Customer discoverability in an AI-first world

Walsh addressed challenges around customer discoverability in an AI-first environment. He indicated that as AI reshapes how customers find and interact with brands, enterprises must adapt their strategies to remain visible and relevant. This includes leveraging AI not just for internal operations but also for understanding and anticipating customer behavior.

What this means

Lazyfounder analysis — our interpretation, not reported fact.

Walsh’s insights signal a shift in how enterprises are structuring their marketing and technical teams. For founders and operators, this underscores the need to move beyond treating AI as a standalone tool and instead integrate it into core workflows.

Startups that adopt this mindset early—embedding AI, data, and engineering into marketing from the outset—may gain an operational edge. The focus on responsible AI and human oversight also suggests that ethical considerations could become a competitive differentiator, particularly as customers grow more aware of how their data is used.

For Indian founders, where marketing teams often operate with lean resources, this evolution could mean reevaluating partnerships with tech-driven firms or upskilling teams to handle AI-native workflows. The convergence of marketing and technology may also blur traditional roles, requiring cross-functional collaboration to stay competitive.