Hiring In The Age Of AI episode artwork

EPISODE · Jun 29, 2026 · 44 MIN

Hiring In The Age Of AI

from The Digital Transformation Playbook · host Kieran Gilmurray

AI is speeding up work, squeezing budgets, and quietly removing the “starter tasks” that used to train new hires. So the real question is not just whether we should hire graduates, but how anyone builds experience when AI can draft, summarise, and analyse faster than a junior role ever could. We take a hard look at what this means for early careers, recruitment, and long-term workforce planning, especially for organisations chasing quarterly results while trying to stay future-ready.TL;DR / At A Glancebroadening from graduate hiring to workforce diversity and capabilitywhy digital fluency is not determined by ageAI, agency, and the potential mental health impactthe gap between what we say, what is heard, and what we meanadapting to different communication styles beyond picking a channelusing AI as a coaching tool for clearer stakeholder communicationthe real skills gap: onboarding, financial fluency, data and AI literacy, curiosity, resiliency, communicationpsychological safety as the condition for challenge and growthcapability swaps and pairing by strengths rather than ageKieran Gilmurray and Laura Lawless also push back on the lazy comfort of generational stereotypes. “Gen Z are digital natives” sounds neat until you see who is genuinely excited to learn, who is anxious about losing agency to algorithms, and who has the curiosity to keep improving. We talk about mental health risks, why learning agility beats age, and why a multi-generational workplace works best when leaders focus on capability, not labels.From there Kieran Gilmurray and Laura Lawless  get practical: how communication breaks down between what we say, what people hear, and what we meant, plus how to adapt to different styles without dumbing anything down. We explore psychological safety as the foundation for healthy challenge, then move into concrete team design ideas like capability swaps and cognitive diversity roles (challenger, translator, integrator). Finally, we unpack why microlearning often fails and how to build continuous learning into the flow of work so skills actually stick.If you care about AI in the workplace, hiring strategy, learning and development, and building high-performing teams, this conversation is your reset. Subscribe, share it with a colleague, and leave a review with one change you are making this month to help your team learn faster and speak up more.Support the showIf you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect.  🌎 Website: www.KieranGilmurray.com📅 Book a call: https://calendly.com/kierangilmurray/catch-up📘 Kieran Gilmurray | LinkedIn🌐 Substack: https://kierangilmurray.substack.com📕 Amazon https://tinyurl.com/MyBooksOnAmazonUK AI Transparency Notice:  This podcast uses a hybrid format. When an episode features one of Kieran Gilmurray’s written articles, the narration is generated using a synthetic clone of his voice via ElevenLabs AI (the underlying article text is entirely human-authored). Episode descriptions and summaries are assisted by AI and should be considered unedited by a human unless specified. 

Episode metadata supplied by the publisher feed · Published Jun 29, 2026

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AI is speeding up work, squeezing budgets, and quietly removing the “starter tasks” that used to train new hires. So the real question is not just whether we should hire graduates, but how anyone builds experience when AI can draft, summarise, and analyse faster than a junior role ever could. We take a hard look at what this means for early careers, recruitment, and long-term workforce planning, especially for organisations chasing quarterly results while trying to stay future-ready. TL;DR / ...

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