AI Speeds Up Work. So Why Are Teams Still Overwhelmed?

Episode notes

AI promises faster work, yet many teams feel more stretched than before. This episode examines why efficiency gains are translating into higher intensity rather than reduced workload. It explores how AI reshapes task volume, workflow structure, and performance measurement. TLDR / At a Glance • Effort reduction vs workload expansion • Task expansion across roles • Boundary creep and blurred ownership • Multitasking and reduced focus time • Verification burden as bottleneck • Workload accounting as control model The key takeaway is that without deliberate work design and measurement, AI amplifies output and complexity, increasing pressure instead of reducing it. Support the show If you are leading your businesses strategic transformation and need greater clarity, stronger execution and measurable results, let’s connect. Website: Book a call: Kieran Gilmurray | LinkedIn Substack: Amazon 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).

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