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3502: Preparing Teams for Change with AI Driven Upskilling

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Manage episode 521772821 series 2391590
内容由Neil C. Hughes提供。所有播客内容(包括剧集、图形和播客描述)均由 Neil C. Hughes 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Why does it feel as though every headline about the future of work points to AI pushing entry-level roles off a cliff? That question stayed with me as I sat down with Robin Adda, a long-time learning and development leader, bestselling author, and one of the most balanced voices I have heard on skills, technology, and the workplace. Robin argues that AI can protect white-collar roles rather than erode them, and hearing him explain why immediately shifted the tone of the conversation.

From the start, Robin talks about how traditional training models have failed to keep pace with reality. Companies know the skills gap is widening, yet many still rely on broad, generic programmes that miss what people actually need. His journey toward building SkillsAssess grew out of that frustration. He realised that training without insight only scratches the surface, and employees end up going through motions instead of growing in ways that matter.

Inside organisations, the picture is even more complicated. Robin describes teams that want to move forward but have no clear road map, along with job seekers who struggle with basic digital tasks long before they reach more advanced expectations. Opportunity exists, yet people often cannot reach it because they lack a personal starting point. His work focuses on bridging that divide by giving individuals clarity and giving leaders accurate visibility into their workforce.

We also talk about the emotional weight behind all of this. Anxiety around AI is everywhere, especially for people who feel their role is drifting into uncertainty. Robin has seen organisations handle this well by focusing on clear information rather than vague reassurance. When people understand what they need to learn and why, their fear gradually shifts into something more constructive.

Another area that stood out was his emphasis on human strengths. As routine work moves to AI systems, qualities like curiosity, communication, and thoughtful decision making become even more valuable. Robin explains how behavioural profiling and tailored learning pathways can help companies build stronger teams rather than rely on technology to smooth every challenge.

By the end of our conversation, I found myself thinking differently about the future of work. Robin's perspective is grounded in decades of watching technology rise, fall, and rise again. He sees AI as a chance to rethink employability rather than fear the disruption. In his view, if we use these tools wisely, we can build a workforce that is more confident, more adaptable, and more resilient.

So here is the question I want to leave you with. If learning could finally become personal, and if AI could help people understand their own potential instead of replacing it, what would that change for you and your organisation? And how would it reshape the way you think about your career? I would love to hear your thoughts.

Tech Talks Daily is Sponsored by NordLayer:

Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  continue reading

2177集单集

Artwork
icon分享
 
Manage episode 521772821 series 2391590
内容由Neil C. Hughes提供。所有播客内容(包括剧集、图形和播客描述)均由 Neil C. Hughes 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Why does it feel as though every headline about the future of work points to AI pushing entry-level roles off a cliff? That question stayed with me as I sat down with Robin Adda, a long-time learning and development leader, bestselling author, and one of the most balanced voices I have heard on skills, technology, and the workplace. Robin argues that AI can protect white-collar roles rather than erode them, and hearing him explain why immediately shifted the tone of the conversation.

From the start, Robin talks about how traditional training models have failed to keep pace with reality. Companies know the skills gap is widening, yet many still rely on broad, generic programmes that miss what people actually need. His journey toward building SkillsAssess grew out of that frustration. He realised that training without insight only scratches the surface, and employees end up going through motions instead of growing in ways that matter.

Inside organisations, the picture is even more complicated. Robin describes teams that want to move forward but have no clear road map, along with job seekers who struggle with basic digital tasks long before they reach more advanced expectations. Opportunity exists, yet people often cannot reach it because they lack a personal starting point. His work focuses on bridging that divide by giving individuals clarity and giving leaders accurate visibility into their workforce.

We also talk about the emotional weight behind all of this. Anxiety around AI is everywhere, especially for people who feel their role is drifting into uncertainty. Robin has seen organisations handle this well by focusing on clear information rather than vague reassurance. When people understand what they need to learn and why, their fear gradually shifts into something more constructive.

Another area that stood out was his emphasis on human strengths. As routine work moves to AI systems, qualities like curiosity, communication, and thoughtful decision making become even more valuable. Robin explains how behavioural profiling and tailored learning pathways can help companies build stronger teams rather than rely on technology to smooth every challenge.

By the end of our conversation, I found myself thinking differently about the future of work. Robin's perspective is grounded in decades of watching technology rise, fall, and rise again. He sees AI as a chance to rethink employability rather than fear the disruption. In his view, if we use these tools wisely, we can build a workforce that is more confident, more adaptable, and more resilient.

So here is the question I want to leave you with. If learning could finally become personal, and if AI could help people understand their own potential instead of replacing it, what would that change for you and your organisation? And how would it reshape the way you think about your career? I would love to hear your thoughts.

Tech Talks Daily is Sponsored by NordLayer:

Get the exclusive Black Friday offer: 28% off NordLayer yearly plans with the coupon code: techdaily-28. Valid until December 10th, 2025. Try it risk-free with a 14-day money-back guarantee.

  continue reading

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