Why Experimentation Is the Most Important AI Skill for Marketers

Most conversations about AI focus on what’s coming next. Jill Hartling focuses on what marketing leaders can do with it today.

In this conversation, Breanna Lawlor sits down with Jill Hartling, VP of Marketing Strategy at Merkle, to explore how AI is reshaping the way teams work, make decisions, and capture institutional knowledge. Drawing on a career that spans both IT and marketing strategy, Jill offers a grounded perspective on what’s actually possible when marketers combine deep customer understanding with emerging technology. From overcoming fear and uncertainty to building a culture of experimentation, this episode is a practical look at how marketing leaders can navigate AI transformation without losing sight of people, trust, and business outcomes.

What You’ll Learn

  • Why Jill believes AI is solving one of the most overlooked challenges in large organizations: institutional knowledge trapped across inboxes, documents, and conversations
  • How a technical background helps marketing leaders separate AI hype from real operational opportunities
  • The role trust, privacy, and governance play in successful AI adoption
  • Why optimism is a competitive advantage during periods of technological disruption
  • How leading teams through AI transformation requires equal parts curiosity, experimentation, and accountability
  • What marketing leaders can learn from the early days of the internet when evaluating AI’s long-term impact
  • Why experimentation—not speed or quality—is the philosophy Jill believes leaders should prioritize right now

Key Takeaways

  • AI can unlock institutional knowledge. Teams are using AI to surface insights buried across emails, documents, and conversations, reducing the need to reinvent solutions that already exist.
  • Technical understanding drives better strategy. Leaders who understand how data and systems work can make more informed decisions about where AI creates real business value.
  • Trust and governance matter. Successful AI adoption requires clear guardrails around privacy, security, and data usage—especially in regulated industries.
  • Small workflow improvements create outsized impact. Many of the most valuable AI use cases are helping teams work faster, make better decisions, and reduce operational friction.
  • People remain the priority. Technology may change how work gets done, but leadership still comes down to developing talent, building trust, and creating opportunities for growth.
  • Experimentation is the advantage. In a rapidly evolving environment, leaders who test, learn, and adapt will move further than those waiting for certainty.

Chapters

  • 00:00 — Practical AI for CMOs
  • 01:24 — Leading Marketing Transformation
  • 02:29 — From IT to Strategy
  • 03:47 — AI Expands What’s Possible
  • 04:20 — Learning From Peers
  • 06:32 — Data Meets Brand Growth
  • 08:02 — The Trusted Advisor Role
  • 08:54 — Building Great Teams
  • 10:26 — Managing AI Uncertainty
  • 12:24 — Choosing Optimism
  • 13:31 — Privacy and AI
  • 17:30 — AI Inside the Team
  • 18:57 — Unlocking Institutional Knowledge
  • 21:16 — Keeping Up With AI
  • 21:37 — Why Experimentation Wins
  • 22:22 — Leadership in the AI Era

Meet Our Guest

Jill Hartling is Vice President of Strategy at Merkle, where she helps brands navigate customer experience, marketing strategy, and data-driven transformation. With expertise in audience insights, customer engagement, and growth strategy, she works with organizations to turn emerging consumer trends into actionable business opportunities. Jill is recognized for bringing a strategic, customer-first lens to marketing challenges and helping teams build more relevant, effective experiences across channels.

Resources from this episode:

You may also like