#289 The AI Skills Gap Every Finance Leader Needs to Close with Guy Weaver, GrowCFO Facilitator

Artificial intelligence is transforming the finance function, but most finance teams are still missing the skills to use it confidently, safely, and at scale. The real competitive advantage now lies in how quickly finance leaders can close this AI capability gap across their teams. 

In this episode, GrowCFO host Kevin Appleby is joined by GrowCFO Facilitator and AI training specialist Guy Weaver to unpack the AI skills gap that is rapidly emerging across finance teams. As AI tools move from experiment to everyday infrastructure, finance leaders face a stark choice: either build the skills to harness these tools strategically or risk falling behind competitors who do. AI is presented not as a “nice to have” experiment, but as a core capability that will shape productivity, decision quality, and the operating model of modern finance functions. 

Guy shares his journey from chartered accountant and venture capital portfolio director to AI practitioner and trainer, showing how a period on gardening leave became a deep dive into tools, agents, automations, and real-world business use cases. He explains that the real differentiator is no longer access to platforms like Copilot, Claude, or ChatGPT, but the human skills to design prompts, architect workflows, manage context files, and control costs at scale. Rather than eliminating finance jobs, AI is creating new responsibilities around context management, token and cost optimization, and continuous model evaluation—and finance leaders who invest early in mindset shifts, foundational skills, and disciplined experimentation will unlock both efficiency gains and new strategic opportunities that slower adopters will miss.

Key topics covered:

  • Why the AI skills gap is now a core strategic issue for finance leaders.
  • Guy’s journey from chartered accountant and VC to AI trainer for finance teams.
  • The essential foundational skills: prompting, architecture, and context management.
  • How AI is creating new roles and responsibilities instead of simply removing jobs.
  • Managing AI cost, tokens, and model choice like any other major operating expense.
  • The danger of AI-built financial models without proper financial modeling discipline.

Links

Timestamps: 

  • 00:00–05:00 – Why AI skills matter for finance leaders and how Guy’s career led him into AI training. 
  • 05:00–12:00 – From “AI will take our jobs” to new responsibilities around AI, context, and automation. 
  • 12:00–18:00 – Prompting, architecture, treating AI like an employee, and managing context files. 
  • 18:00–24:00 – Who owns context files, how they’re maintained, and the implications for CFOs and COOs. 
  • 24:00–29:00 – Rising AI costs, token limits, and the need to optimize AI usage across the finance function. 
  • 29:00–34:00 – What Guy sees in finance training sessions and how teams can keep up as tools evolve.

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