One Marketing Lesson from Lady Gaga That Every CMO Should Steal

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Introduction

# Ruth Zive, Chief Marketing Officer at Voices, brings a unique perspective on how AI is reshaping marketing effectiveness. With experience as a 4x CMO who has sourced hundreds of millions in revenue through i ovative brand and demand initiatives, Zive challenges conventional wisdom about AI's role in marketing productivity. Her company, Voices, works with over 60,000 enterprise customers including Microsoft, BMW, and Shopify to power voice experiences across marketing products and AI systems.#n#n1

The Hidden Cost of AI-Generated Strategy Documents

# Zive identifies a counterintuitive problem with AI adoption in marketing: the technology's ability to generate comprehensive strategy documents in seconds is actually slowing teams down. "I feel like AI is encouraging people to create these very long, dense documents because you can do that in three seconds," she observes. As a marketing executive who prioritizes outcomes over endless strategizing, she's noticed an influx of AI-generated strategy documents throughout her organization that may be hindering rather than helping progress.#n#n1

When Strategy Becomes Procrastination

# The ease of AI content generation has created a new form of productive procrastination in marketing departments. While Zive doesn't object to using AI for content creation, she warns against letting it trap teams in endless strategy cycles. Her philosophy emphasizes action over analysis paralysis: "Sometimes you have to stop building features in the car and make sure that the rubber meets the road." This practical approach reflects her experience driving real revenue growth rather than just producing impressive-looking documentation.#n#n1

The Q1 Reality Check: Activity vs. Impact

# Zive candidly shares her own struggle with this challenge, admitting she fell into the same trap during Q1. Despite pla ing to focus on go-to-market execution, she found herself building brand style guides, working on website updates, and developing marketing strategies—none of which directly engaged customers. "I probably could have just put a little bit more heads down, started reaching people and actually driving demand," she reflects. This honest assessment highlights how even experienced CMOs can get caught up in preparatory work at the expense of customer-facing activities.#n#n1

Breaking the Perfection Trap

# The lesson here extends beyond AI usage to a fundamental marketing truth: perfect strategy documents don't drive revenue—customer interactions do. Zive's experience suggests that marketers should resist the temptation to use AI's capabilities to over-engineer their pla ing processes. Instead, they should leverage technology to accelerate customer engagement and demand generation activities that directly impact business outcomes.#n#n1

Conclusion

# Ruth Zive's insights reveal an important paradox in modern marketing: the tools designed to make us more efficient can actually slow us down if we're not careful about how we use them. Her advice to fellow marketers is clear—resist the allure of endless AI-generated strategy documents and focus on activities that put you in front of customers. As marketing technology continues to evolve, the most successful CMOs will be those who use AI to accelerate execution rather than extend pla ing cycles. The real competitive advantage comes not from having the most comprehensive strategy document, but from being the first to meaningfully engage with customers and drive measurable results.#n#n1