The truth about AI readiness in B2B marketing with Shaun Ma

Radically Transparent Published: December 04, 2025
The truth about AI readiness in B2B marketing with Shaun Ma

Most B2B teams are racing to adopt AI, but few are structurally ready for it. Breaking down AI readiness in B2B marketing, Shaun Ma, VP of Digital Customer Engagement at Schneider Electric, uncovers the gap and what CMOs must fix to see meaningful impact. A must-listen for leaders looking to future-proof their marketing organization.

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Episode summary

In this episode of Radically Transparent, host Jennifer Gutman sits down with Shaun Ma to confront an uncomfortable truth many B2B marketing leaders are beginning to face. While AI tools are being adopted at record speed, most organizations are not structurally prepared to support them. The AI readiness gap in B2B marketing is still wide.

If you’re using AI the way you did in 2024, you’re already outdated. You do not use AI like a search engine. You have to give context, constraints, and then validate the output.

Shaun reveals a widening space between the promise of AI and the operational reality inside modern marketing teams.

New capabilities are emerging, but none of them fall under any key person’s responsibility. So AI stays experimental.

From unused data and fragmented tech stacks to unclear ownership and outdated AI habits, Shaun makes it clear that “plug and play” doesn’t exist in B2B. Complex buying cycles and cross-functional dependencies mean AI readiness in B2B can only succeed when systems, processes, and responsibilities are truly aligned.

Over 80% of the data that marketing teams track is unused. To future-proof an organization, you have to break silos and start rebuilding with customer experience at the center.

For CMOs, this is the real story behind AI adoption and AI readiness in B2B marketing. It isn’t about how many AI tools sit in the stack. It’s about whether the organization is structurally ready to support and scale them.

Hot topics

  • What’s really causing the AI readiness gap in B2B marketing and why teams need clear ownership, governance, and metrics to make AI operational
  • How B2B organizations can turn AI into a true competitive advantage through agentic experiences, GEO, and personalized cross-channel engagement
  • How marketers should actually be using AI today and why so many still rely on outdated habits
  • When AI-driven automation becomes more expensive than manual work and what hidden costs leaders should be watching for
  • Why SEO evolving into GEO, and how LLM-driven research patterns are creating new, un-trackable buyer journeys
  • What leaders misunderstand most about AI and why do expectations often outpace real-world capabilities
  • How marketing organizations can future-proof themselves by breaking silos, building intelligence capabilities, and designing teams around modern customer experiences

Meet Shaun

Shaun Ma is the Vice President of Digital Customer Engagement at Schneider Electric. A specialist in B2B transformation, he focuses on modernizing internal operations, designing new processes, and leveraging martech, AI, and data-driven insights to elevate customer experience and drive organizational change.

Frequently Asked Questions

What is the AI readiness gap in B2B marketing?

The AI readiness gap refers to the disconnect between adopting AI tools and having the necessary internal structure—such as data hygiene, team roles, and governance—to support and scale them effectively.

Why are most B2B teams not prepared for AI?

Many B2B teams lack clear ownership, clean data infrastructure, and aligned processes, making it difficult to operationalize AI beyond experimentation.

How should marketers use AI differently in 2025?

Marketers must move beyond using AI like a search engine. Effective AI usage requires context, constraints, validation, and integration within structured workflows.

What are the hidden costs of AI automation in B2B?

While AI promises efficiency, it can be more expensive than manual processes if it lacks accountability, leads to inaccurate outputs, or creates more silos.

What is GEO and how does it change B2B marketing?

GEO, or Generative Engine Optimization, is the evolution of SEO. It focuses on optimizing content for AI engines and LLMs, guiding untrackable buyer journeys shaped by generative tools.

How can CMOs future-proof their organization for AI?

CMOs must redesign team structures, break down silos, establish governance, and build intelligence capabilities focused on delivering real customer experience outcomes.

What key lesson does Shaun Ma share for B2B leaders?

Shaun Ma emphasizes that AI isn’t a plug-and-play tool in B2B. True impact only comes when organizations are structurally aligned to support emerging capabilities.

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