Using AI as an Assistant, Not a Replacement. And Lessons for MSPs
Thu Feb 05 2026
Most AI conversations are about speed, automation, or replacing people. Paul Green takes a very different view.In this episode of Scaling With AI, Alex Bacon sits down with Paul Green, MSP marketing expert and founder of MSP Marketing Edge, to explore the reality of AI adoption. One where AI acts as a high-quality assistant, not a shortcut or a substitute for human judgement.
Paul shares how his business produces hundreds of pieces of marketing content every month, why humans still sit at the centre of that work, and how tools like ChatGPT are used to improve quality, consistency, and decision-making rather than churn out more content for the sake of it.
The conversation digs into why systems matter more than shiny AI tools, what many MSPs are getting wrong about AI adoption, and how fear around data, security, and rapid change is slowing progress. Paul also shares a compelling example of an MSP using internal AI to spot patterns, reduce churn, and make better strategic decisions, pointing to how AI-led advisory services could evolve.
A practical episode for founders and operators exploring real AI use cases, with clear lessons for MSPs who want to move past hype and help clients use AI to think better, not just faster.
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Most AI conversations are about speed, automation, or replacing people. Paul Green takes a very different view.In this episode of Scaling With AI, Alex Bacon sits down with Paul Green, MSP marketing expert and founder of MSP Marketing Edge, to explore the reality of AI adoption. One where AI acts as a high-quality assistant, not a shortcut or a substitute for human judgement. Paul shares how his business produces hundreds of pieces of marketing content every month, why humans still sit at the centre of that work, and how tools like ChatGPT are used to improve quality, consistency, and decision-making rather than churn out more content for the sake of it. The conversation digs into why systems matter more than shiny AI tools, what many MSPs are getting wrong about AI adoption, and how fear around data, security, and rapid change is slowing progress. Paul also shares a compelling example of an MSP using internal AI to spot patterns, reduce churn, and make better strategic decisions, pointing to how AI-led advisory services could evolve. A practical episode for founders and operators exploring real AI use cases, with clear lessons for MSPs who want to move past hype and help clients use AI to think better, not just faster.