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Kip observes that the historical roles in marketing are inverting. While top-of-funnel discovery now requires broad brand awareness and relentless content to train agents, growth marketers must move to the bottom of the funnel. Their job becomes deploying AI agent workflows to rapidly convert, enrich, and monetize social and inbound attention into sales pipeline.

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Ramp believes marketers now have two jobs: marketing to humans (attention) and to machines (legibility). They're already running experiments offering incentives directly to AI agents and predict agents could drive 20% of growth within two years. This signals a fundamental shift in B2B go-to-market strategy.

A portfolio CEO noted a critical GTM shift: AI-driven communication is saturating outbound channels, reducing SDR conversion rates. Simultaneously, AI's ability to automate content generation is making inbound marketing far more effective, forcing a reallocation of resources from sales to marketing.

Agentic AI manages top-of-funnel targeting, engagement, and qualification, blurring traditional lines between sales and marketing. Marketing shifts from a volume-based focus, and sales reduces administrative work. Both teams can then converge on shared growth outcomes rather than siloed functional metrics.

The traditional buyer journey is being upended as users turn to AI search for direct, synthesized answers, bypassing top-of-funnel discovery on brand websites. The marketing focus must shift from traditional SEO to a new discipline of influencing AI recommendation engines to ensure brand inclusion.

AI is making buyer journeys non-linear and compressed. Instead of a linear funnel, GTM strategy must shift to a continuous, customer-centric "flywheel" model. Buyers conduct deep research upfront, making direct sales engagement optional for some and requiring an always-on, value-first approach.

Marketers traditionally captured demand via search, paid ads, and webinars targeting high-intent prospects. However, in the AI delegation era, consumers hand off purchasing to multi-agent buyer committees that filter out unestablished vendors. Marketers must move budgets higher up the funnel into brand awareness and relentless content creation so personal agents recognize and recommend their brand.

AI tools are shifting power dynamics. By deploying AI agents for tasks like inbound lead qualification, CMOs can regain direct control over pipeline conversion—a function often managed by sales-led SDR teams. This elevates marketing from a cost center to a strategic, revenue-driving hero.

Traditional lead magnets like white papers and webinars are becoming obsolete as AI-empowered buyers conduct their own research. Marketing's future role is to publish high-quality insights and information online, specifically to train the AI agents that buyers use, ensuring the company's perspective shapes the conversation before a salesperson is ever involved.

The future role of a marketer is not as a channel expert (e.g., search marketer) but as an orchestrator of AI systems. They will design the logic, goals, and audience strategy that AI agents execute. Core skills will shift from production tasks to taste, judgment, and narrative craft.

The most effective first step into agentic marketing is not a massive tech overhaul. Instead, analyze your existing customer journey, identify key drop-off points, and apply AI to create small, cumulative percentage gains at each stage.