Between Fires and Futures: Real Conversations for Tech Leaders Navigating What’s Now—and What’s Next
Between Fires and Futures is the podcast for modern tech leaders caught in the constant tension of today and tomorrow.
It’s the space between daily firefights—cloud issues, AI hype, security breaches—and the visionary work of building scalable, resilient, future-ready organizations.
Each week, we talk with the strategists, technologists, and innovators doing the real work of leading change. These are unfiltered conversations that expose the tradeoffs, wins, and lessons no one puts in the case studies.
No spin. No fluff. Just pressure-tested leadership, real-world insight, and bold thinking.
https://www.technologymatch.com/
Between Fires and Futures: Real Conversations for Tech Leaders Navigating What’s Now—and What’s Next
Your AI ROI Lives or Dies on Adoption with Robyn Anderson
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If you are a CIO, CTO, or IT leader who secured the AI budget but still are not seeing meaningful ROI, this episode names the real issue: adoption is the constraint.
In this conversation, Tonya sits down with Robyn Anderson, AI adoption strategist and founder of JM AI, who has spent more than 20 years leading sales-driven growth and digital transformation. Robyn brings a practical operator’s lens to one of the biggest blind spots in AI transformation. Tools do not create impact. Behavior does.
She reframes AI adoption as both a change management challenge and a personal journey. Inside the same teams, some employees are compounding gains weekly while others have not even opened an LLM. The gap is not access. It is habit, psychology, and leadership.
Together, they unpack why course-based AI training often fails, how governance-heavy rollouts drive shadow experimentation, and why live, community-based learning increases completion and real-world usage. They also address the emotional side of adoption, including fear of being replaced and fear of not being capable, and why shame creates compliance but not transformation.
Robyn introduces the 15-minute-a-day “AI Gym” model, a simple rhythm that builds skill without overwhelm. They explore what a 30-day adoption playbook looks like, how to measure ROI through real business signals like sales and output, and why the future belongs to teams who learn fast together.
This episode is not about chasing more tools. It is about building habits that compound.
In this episode, they explore:
- Why AI budgets are rising while ROI lags
- The widening performance gap between adopters and non-adopters
- Why traditional AI training models stall behavior change
- The emotional realities behind resistance and fear
- What a practical 30-day AI adoption playbook looks like
- How to measure adoption in terms that tie back to revenue
- Why daily habit-building outperforms one-time transformation pushes
- The emerging shift toward humans managing AI agents
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