The biggest risk of marketers trusting AI
- Part 1Navigating the AI boom with resilient marketing
- Part 2The 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 5 The biggest risk of marketers trusting AI
- Part 6Which frontier model will win the AI-platform battle?
Episode Chapters
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00:25: Lazy Marketing Pitfalls
The biggest risk occurs when marketers stop applying judgment and simply accept AI outputs without strategic thinking or proper evaluation.
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01:21: The Vibe Coding Problem
Extended AI interactions can create mental habits that reduce critical thinking capacity, leading to dependency on automated responses rather than analytical reasoning.
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02:32: AI as Chief of Staff
A strategic approach involves using AI as a decision-making partner that challenges thinking and provides contextual guidance rather than just generating outputs.
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Episode Summary
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The Biggest Risk of Marketers Trusting AI
Introduction
Dave Steer, CMO of Webflow, reveals a critical blind spot in how marketers are adopting AI tools. With over two decades of experience leading marketing at companies like GitLab, Cloudflare, Facebook, and Twitter, Steer brings a unique perspective on maintaining strategic thinking while leveraging AI's capabilities. His insights challenge the common assumption that AI adoption is purely about efficiency gains, instead highlighting the importance of human judgment in an AI-powered marketing landscape. -
The Danger of Lazy Marketing
Steer identifies the core risk: marketers who "stop thinking for themselves" and blindly accept AI outputs without applying critical judgment. He describes encountering "lazy marketing" where professionals simply input prompts into ChatGPT or Claude and immediately implement the results—whether that's sending emails, creating briefs, or developing experimentation strategies. This abdication of strategic thinking represents a fundamental misunderstanding of AI's role in marketing operations. -
The real danger isn't in the technology itself, but in forgetting what Steer calls "the important role that the marketer serves as a human being and chief orchestrator of creativity and brand building." When marketers treat AI as a replacement rather than an enhancement for their expertise, the result is predictably sloppy execution that fails to co ect with audiences or drive meaningful business outcomes.
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The Mind-Numbing Effect of AI Dependency
Benjamin Shapiro's personal experience with "vibe coding" illustrates how easy it is to fall into passive thinking patterns when working with AI. After spending hours building automated workflows, he finds himself unable to process basic thoughts, comparing it to being "mind numbed" from the constant back-and-forth of accepting AI suggestions without understanding the underlying logic. This cognitive laziness extends beyond technical tasks—marketers repeatedly asking for copy, briefs, and creative outputs can lose their ability to think strategically about whether those outputs actually serve their goals. -
AI as Your Chief of Staff: A Game-Changing Approach
Steer shares a transformative use case that demonstrates how to maintain strategic thinking while maximizing AI's value. His CEO created a custom "CMO chief of staff GPT" loaded with company context, insights, and decision-making frameworks. Initially serving as an onboarding buddy, the AI evolved into a daily strategic partner designed to challenge Steer's thinking and push him toward "top 1% CMO" performance. -
Building Your AI Partner
The key to this approach lies in treating AI as a strategic advisor rather than a task executor. Steer uses his AI chief of staff "at least once a day as my partner," emphasizing the collaborative nature of the relationship. By programming the AI to challenge assumptions and ask probing questions—similar to Shapiro's "Jarvis" assistant that continuously prompts for deeper thinking—marketers can leverage AI to enhance rather than replace their strategic capabilities. -
Conclusion
The biggest risk in trusting AI isn't about the technology failing—it's about marketers failing themselves by surrendering their critical thinking and strategic judgment. As Steer emphasizes, marketers must maintain their role as "chief orchestrators" who use AI as a powerful tool while retaining responsibility for creativity, brand building, and growth strategy. The path forward requires treating AI as a chief of staff that challenges and enhances human thinking, not as a replacement for the uniquely human elements that drive marketing success. For marketing leaders navigating the AI boom, the message is clear: embrace AI's capabilities, but never abdicate your role as the strategic thinker behind the technology. -
- Part 1Navigating the AI boom with resilient marketing
- Part 2The 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 5 The biggest risk of marketers trusting AI
- Part 6Which frontier model will win the AI-platform battle?
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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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