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The rise of autonomous AI agents and the commoditization of composability are shifting CMOs’ strategic focus. As the approaches to customer data converge, marketing leaders face two paths: platformization and agentification. The choice will shape how a company governs customer data, coordinates customer engagement, and uses AI to make marketing decisions. Customer data platforms have long promised to give marketers a unified view of their customers.
Three years after the launch of ChatGPT, marketing’s AI conversation is shifting again. Attention is moving beyond generative AI toward the promise of AI agents and agentic AI. Martech vendors are racing to introduce on-platform agents (and agent building platforms) to autonomously perceive goals, make decisions, and take action across workflows. Of course, the vendor and influencer hype around agentic AI is currently outpacing the operational reality of the marketing function.
As organizations invest heavily in martech and personalization, marketing leaders face a familiar challenge turning those investments into real business impact. Despite increasingly sophisticated tools, many teams struggle to realize martechs full potential, often because critical talent and expertise are missing. The solution lies not in the technology alone, but in the roles and skills that bring it to life.
As GenAI and economic uncertainty reshape the marketing world, marketing leaders are under pressure to future-proof their teams. Recent Gartner analysis of over 100,000 marketing job postings reveals a seismic shift in the skills sought by high-performing CMOs — those who are 2.6 times more likely to help their companies exceed annual revenue and profit goals.
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