Invest in your people, not just your tools: What every CMO needs to build now

Most CMOs have already approved AI spend. The investment decision is largely settled. What remains unresolved is why those investments are not producing sustained performance gains inside marketing organizations.

Teams have access to licenses and pilots, and most have already completed some form of training. Usage is visible in dashboards, yet adoption plateaus and productivity rarely improves in a meaningful way. The gap sits squarely between access and capability.

AI adoption underdelivers when marketing teams lack the skills, operating discipline, and judgment required to apply these tools in real workflows. CMOs now need an AI skills development strategy that ties directly to execution, decision-making, and measurable business impact.

Why AI tools alone fail to improve marketing performance

AI does not transform marketing on its own. It accelerates whatever system it is placed inside. If workflows are disjointed, approvals are slow, or handoffs are unclear, AI simply speeds up the chaos.

Effective AI adoption starts with defined workflows, clear success criteria, and consistent operating discipline. Software enables that work, but it does not create it.

Why one-time AI training fails marketing teams

AI evolves too quickly for static, one-time training to keep up. Teams trained on yesterday’s UI or prompt structure often find that knowledge obsolete within weeks.

More importantly, most AI training emphasizes features instead of decision-making. Marketers learn how to generate output without learning how to evaluate it or integrate it into live execution. Usage increases, but performance does not follow.

This leads to what we call the AI mandate trap: usage without value, compliance without impact.

The core AI skills marketing teams need to build

To build durable AI capability, CMOs should focus on a small set of transferable, foundational skills that persist across platforms:

1. Prompting and communication

AI outputs are only as good as the inputs. Teams must learn how to:

• Communicate intent clearly through structured prompts
• Provide relevant business context, brand tone, and constraints
• Refine prompts iteratively to get usable results

2. Judgment and evaluation

As AI-generated content moves closer to customers and executives, the margin for error narrows. Your team needs to:

• Recognize hallucinations and unreliable content
• Understand when human review is mandatory
• Evaluate quality based on strategic and brand goals

3. Workflow integration

AI delivers value when it is embedded directly into marketing workflows. Teams must:

• Know where AI adds value across the funnel
• Respect governance and data boundaries
• Build repeatable workflows that pair humans with AI effectively

These skills form the foundation of real AI fluency. They also enable CMOs to shift from reactive adoption to operational transformation.

Why transferable AI skills matter more than platforms

Most tools will change. Your team might be using ChatGPT, Claude or Gemini today, and something else entirely next year. That’s why your AI training for marketers should emphasize durable skills that apply regardless of tool.

This distinction matters. Platform-specific training evaporates when you switch vendors. Transferable skills grow in value over time. Static training doesn’t build muscle, execution does.

Teams learn faster and retain more when they build skills inside the workflows they run every day. That means:

• AI usage is tied to real campaigns, not isolated demos
• Feedback loops are immediate and contextual
• Knowledge transfer happens naturally through collaboration

This is why expert-led, workflow-grounded training beats self-guided experimentation.

How 2X builds AI skills inside marketing execution

2X embeds AI skills development directly into day-to-day marketing delivery. Teams build capability while executing real work, supported by specialist guidance at critical decision points.

Our approach to AI-optimized marketing execution combines:

• Delivering governed, repeatable workflows powered by AI
• Embedding specialist-led guidance at key decision points
• Logging actions to support auditability and continuous improvement

The result is sustained fluency without slowing delivery. CMOs gain execution and capability at the same time, and AI adoption becomes a structural advantage rather than a temporary initiative.

If your goal is to move beyond AI tool adoption and build a CMO AI training strategy that creates real value, it starts with people, not platforms.

The insights in this article are drawn from a webinar featuring Lisa Cole, Chief Marketing, Product, and AI Officer at 2X, and guest speaker Nicole Leffer, CMO AI Advisor. The full conversation, including practical frameworks and real-world examples, is available on demand.

Author

Lisa Cole

Lisa Cole serves as the Chief Marketing, Product and AI Officer at 2X, where she helps marketing leaders deliver greater impact with fewer resources. Former CMO for Huron, FARO Technologies, and Cellebrite, and author of Brand Gravity and The Revenue RAMP, Lisa has a proven track record of transforming marketing organizations into high-performing, scalable growth engines. She specializes in leveraging AI, strategic outsourcing and growth marketing strategies to scale marketing, driving operational excellence, and accelerating revenue growth.