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.

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