Steering AI Is Now Part of the Executive’s Job episode artwork

EPISODE · Jul 9, 2026 · 12 MIN

Steering AI Is Now Part of the Executive’s Job

from The Digital Transformation Playbook · host Kieran Gilmurray

AI fluency has moved from optional skill to executive responsibility. This episode looks at why leaders must steer AI as a business system, setting direction, design, guardrails, and proof.It explores the gap between AI ambition, leadership readiness, workforce reality, and governance expectations.TLDR / At a Glance• Executive AI fluency • System steering • Direction, design, guardrails, proof • Talent readiness gaps • Hidden employee AI adoption • Leadership modelling and legal dutyThe key takeaway is that AI value depends on leaders who can govern, redesign, and measure AI across the organisation. 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 Jul 9, 2026

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AI fluency has moved from optional skill to executive responsibility. This episode looks at why leaders must steer AI as a business system, setting direction, design, guardrails, and proof. It explores the gap between AI ambition, leadership readiness, workforce reality, and governance expectations. TLDR / At a Glance • Executive AI fluency • System steering • Direction, design, guardrails, proof • Talent readiness gaps • Hidden employee AI adoption • Leadership ...

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