
AI That Actually Makes You Money Solving Real Commercial Problems in Recruitment
From The Recruitment Network Podcast by The Recruitment Network
May 28, 2026 · 19 min
About this episode
James Osborne discusses how AI can genuinely improve revenue in recruitment rather than just creating the illusion of productivity.
Welcome to the weekly Recruitment Podcast by The Recruitment Network (TRN) — where we share real conversations to help you build your recruiting team, improve recruiter performance, and stay ahead in an increasingly competitive recruitment market. TRN – Enabling recruitment businesses to maximise their performance, productivity and profitability. In this episode, James Osborne cuts through the noise surrounding AI in recruitment and focuses on one critical question: Is your AI investment actually improving revenue — or just creating the illusion of productivity? Recruitment leaders are being flooded with AI tools, vendor promises, and “game-changing” automation platforms. But while many claim to save time, very few deliver measurable commercial impact. The firms gaining a real competitive advantage aren’t adopting AI for the sake of innovation. They’re deploying it strategically — to improve placement velocity, increase conversion rates, enhance consultant productivity, and protect margins. This webinar is a practical, commercially focused breakdown of how recruitment businesses can stop chasing vanity metrics and start evaluating AI through the lens of ROI and business…
People in this episode
Host: James Osborne
Topics covered
- AI in recruitment
- revenue improvement
- productivity
- commercial impact
- ROI
- placement velocity
Keywords
- AI tools
- recruitment performance
- commercial problems
- automation platforms
- competitive advantage
- investment decisions
Mentioned in this episode
Organizations: The Recruitment Network
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- Stop Wasting Time on AI — Here’s What Drives Revenue on the Billing Desk · May 6, 2026 · 37 min
- The New Consultancy Model Rebuilding Recruitment For Higher Margins · April 29, 2026 · 26 min
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