The most overhyped AI use case in marketing right now
- Part 1Navigating the AI boom with resilient marketing
- Part 2 The most overhyped AI use case in marketing right now
- Part 3New line of responsibility between the marketing and engineering teams
- Part 4One universal truth of marketing for B2B Tech companies
- Part 5The biggest risk of marketers trusting AI
- Part 6Which frontier model will win the AI-platform battle?
Episode Chapters
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00:28: Most Overhyped AI Marketing Use
Content creation as an end goal represents the most overhyped AI application in marketing today. While content serves as a useful entry point for AI adoption, it's merely the first step rather than the ultimate objective.
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00:48: Beyond Content Creation Opportunities
The bigger AI opportunities lie in agentic AI and workflow automation that positions marketers as orchestrators of comprehensive customer experiences. This approach moves beyond simple content generation to enable teams to collaborate more effectively.
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01:01: Workflow Orchestration Over Direct AI
Building orchestration systems and workflows to provide context to large language models requires significantly more time than directly working within AI tools. The focus shifts from manual content requests to creating automated systems that handle tasks independently.
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01:15: Editor Versus Creator Role
Effective AI implementation transforms marketers from content creators into editors of automated output. This shift allows professionals to focus on refining and directing AI-generated work rather than producing initial drafts.
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Episode Summary
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The Most Overhyped AI Use Case in Marketing Right Now
Introduction
Dave Steer, CMO of $4B design-forward tech company Webflow, cuts through the AI hype with a clear perspective: content generation as an end goal is the most overhyped use case in marketing today. With over two decades of experience leading marketing at GitLab, Cloudflare, Facebook, and Twitter, Steer brings a pragmatic view to AI adoption that challenges conventional thinking about where marketers should focus their AI efforts. -
Why Content Generation Falls Short
According to Steer, while content creation serves as a good entry point for AI adoption, treating it as the ultimate goal misses the bigger picture. "Content is a good entryway in AI adoption, AI usage, but it is not all nine i ings. It is the first i ing. It's your way of getting onto the field," Steer explains. This perspective shifts the focus from simply producing more content to understanding how AI can transform entire marketing workflows and customer experiences. -
The Real AI Opportunity: Agentic AI and Workflows
Steer identifies the true potential of AI in marketing lies in agentic AI and AI-powered workflows that bring teams together. Rather than focusing on individual content pieces, the opportunity is in "putting the marketer at the center of orchestrating a whole set of customer experiences." This approach moves beyond simple content generation to creating intelligent systems that can automate complex marketing processes while keeping human expertise at the helm. -
Building Orchestration Over Output
The shift from content creation to workflow orchestration represents a fundamental change in how marketers should approach AI. Benjamin Shapiro reinforces this point, noting he spends "so much more time building orchestration and workflows to give context to a large language model" than actually working within the model itself. This investment in building proper workflows and context enables marketers to become editors and strategists rather than content producers, fundamentally changing their role and impact. -
Practical Implementation Strategies
The key to leveraging AI effectively lies in creating workflows that automate tasks while maintaining strategic oversight. Instead of using AI tools for one-off content requests like show notes or LinkedIn copy, successful marketers are building comprehensive systems that handle entire processes. This approach allows marketing teams to focus on high-value activities like strategy, creativity, and customer experience optimization while AI handles the execution of routine tasks. -
Conclusion
Dave Steer's insights challenge marketers to think beyond the immediate gratification of AI-generated content and focus on building intelligent workflows that transform how marketing teams operate. By treating content generation as merely the first i ing rather than the entire game, marketers can unlock AI's true potential to orchestrate customer experiences, automate complex workflows, and elevate their role from content creators to strategic orchestrators. The future of AI in marketing isn't about producing more content—it's about creating smarter systems that amplify human expertise and drive meaningful business results. -
- Part 1Navigating the AI boom with resilient marketing
- Part 2 The most overhyped AI use case in marketing right now
- Part 3New line of responsibility between the marketing and engineering teams
- Part 4One universal truth of marketing for B2B Tech companies
- Part 5The biggest risk of marketers trusting AI
- Part 6Which frontier model will win the AI-platform battle?
Up Next:
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Part 1Navigating the AI boom with resilient marketing
Most marketers treat AI as a copywriting assistant instead of a customer experience transformation tool. Dave Steer is Chief Marketing Officer at Webflow, specializing in AI-driven website personalization and answer engine optimization for enterprise growth. He explains how to structure content for both human visitors and AI crawlers, implement automated multivariate testing at scale, and maintain strategic direction while experimenting with AI-powered optimization tools.
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Part 2The most overhyped AI use case in marketing right now
Content generation is the most overhyped AI use case in marketing. Dave Steer, CMO at Webflow, argues that marketers are focusing too narrowly on AI as a content creation tool rather than exploring its broader strategic potential. He advocates for building agentic AI workflows that orchestrate customer experiences and automate complex marketing processes. Steer emphasizes creating sophisticated automation systems where marketers become editors of AI output rather than manual content creators.
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Part 3New line of responsibility between the marketing and engineering teams
Marketing teams now handle engineering workflows as AI tools blur traditional boundaries. Dave Steer, CMO at Webflow, explains how marketers are gaining developer superpowers while maintaining distinct responsibilities. He outlines how marketing owns vision creation while engineering ensures reliability and infrastructure. The discussion covers how no-code platforms enable marketers to build technical solutions while preserving the critical need for engineering expertise in enterprise environments.
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Part 4One universal truth of marketing for B2B Tech companies
B2B tech marketing requires constant adaptation to survive industry disruption. Dave Steer, Chief Marketing Officer at Webflow, brings two decades of scaling experience from GitLab, Cloudflare, and other category-defining companies. He explains why successful marketers treat their strategies like stock portfolios with both long-term anchors and rapid pivots. Steer outlines how experimentation frameworks help teams adapt quickly when market conditions shift unexpectedly.
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Part 5The biggest risk of marketers trusting AI
Marketers risk becoming lazy by blindly trusting AI outputs without critical thinking. Dave Steer, CMO at Webflow, explains how to maintain strategic judgment while leveraging artificial intelligence effectively. He demonstrates creating a custom "chief of staff" GPT trained on company context and decision-making frameworks to challenge thinking rather than replace it. Steer emphasizes treating AI as a strategic partner that asks probing questions instead of a tool that generates mindless outputs.
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Part 6Which frontier model will win the AI-platform battle?
AI platform selection remains uncertain as frontier models rapidly evolve. Dave Steer, Chief Marketing Officer at Webflow, brings two decades of scaling experience at GitLab, Cloudflare, and other category-defining companies to discuss navigating the current AI landscape. He argues that context-aware platforms built on top of commodity frontier models will determine competitive advantage, with marketing workflow platforms like Webflow positioning to compete against developer-focused tools like GitHub and GitLab.
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