What Does an SVP of a Global Company Do on a Daily Basis?

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Introduction

# Patrick Brown, Vice President of Growth Marketing & Insights at Adobe, manages a global organization that spans media strategy, CRM, analytics, data science, and marketing platform engineering. With over 20 years of experience transforming marketing from a cost center into a growth engine, Brown shares candid insights about the realities of AI adoption at enterprise scale and the daily challenges of leading marketing transformation at one of the world's largest software companies.#n#n1

The Reality of AI in Enterprise Marketing

# When asked about the most overrated use of AI, Brown doesn't hesitate: forward-looking projections. "I think that one of the things that we've seen historically is this tension that exists right now on these platforms between the historical context that you've provided it, which we've loaded as much as we possibly can of all the context and everything that we know and we ask them to predict the future," Brown explains. His perspective challenges the common narrative that AI can solve all marketing prediction challenges.#n#n1

AI's True Strengths

# Brown identifies where AI actually delivers value in enterprise marketing operations. The technology excels at summarization and synthesis of existing data, but struggles when asked to make forward-looking predictions. This limitation stems from AI's dependency on historical context - it can only work with the information it's been given and tends to provide answers that align with what users want to hear. For marketing leaders investing heavily in AI tools, this distinction between current capabilities and future promises is crucial for setting realistic expectations and allocating resources effectively.#n#n1

The Challenge of Building for Future AI Models

# Platform companies constantly advise enterprises to build for the next iteration of AI models, but Brown highlights a fundamental problem with this approach. These companies know their roadmaps while enterprise users operate in the dark about future capabilities. The disco ect creates real challenges for marketing leaders trying to make strategic technology investments. Brown's experience reflects a common frustration among enterprise executives who must balance immediate needs with uncertain future capabilities.#n#n1

Unexpected Coding Requirements

# The conversation takes an interesting turn when discussing how AI has changed daily work. Contrary to predictions that AI would eliminate coding, Brown finds himself coding more than ever. "That's all I do now. I used to be a podcast host," he jokes, highlighting how AI has actually increased technical requirements rather than reducing them. This reality check contradicts vendor promises about AI simplifying technical work and reveals how enterprise marketing leaders must adapt to become more technical, not less.#n#n1

Focusing on Organizational Fundamentals

# Despite the AI hype cycle, Brown maintains focus on core marketing fundamentals. He breaks down his organization's work into three pillars: delivering great experiences through social content and advertising, measuring what works, and building foundational tools. All these efforts serve one purpose - helping people co ect with Adobe's products. This framework provides clarity amid the chaos of emerging technologies and vendor promises.#n#n1 Brown's approach to AI adoption emphasizes practical application over speculation. Rather than trying to predict how AI will transform everything, he focuses on using current capabilities to accelerate existing processes. This measured approach allows his team to benefit from AI's strengths in summarization and synthesis while avoiding the pitfalls of over-relying on its predictive capabilities.#n#n1

Key Takeaways for Marketing Leaders

# Brown's insights reveal several critical lessons for enterprise marketing leaders navigating AI adoption. First, be skeptical of AI's predictive capabilities and focus on its proven strengths in data synthesis and summarization. Second, prepare for increased technical requirements rather than decreased complexity - the reality is that marketing leaders need more technical skills, not fewer. Finally, maintain focus on fundamental business objectives rather than getting distracted by technology possibilities. Success comes from applying AI to accelerate core marketing functions, not from chasing every new capability promised by vendors.#n#n1