What: Seramount's framework defines which AI-enabled tasks should be automated, augmented, or kept under human control.

Why it is important: As AI becomes embedded in workplace systems, the decisions that most directly shape people — hiring, performance, ethics, and capability development — require human judgement that no automation can reliably replicate.

Seramount argues that organisations will not achieve strong AI returns by replacing as many employees as possible, but by identifying where human judgement remains essential. The article contrasts rising AI investment with public distrust and limited evidence of productivity gains, noting that many companies still struggle to convert adoption into measurable performance.
Seramount proposes a framework dividing AI-enabled work into automation, augmentation, and human-only tasks. Automation is suited to routine execution, while augmentation can support analysis, drafting, and decision preparation. However, six areas should remain under human control: hiring, performance reviews, manager judgement, ethical standards, capability building, and final ownership of decisions and outcomes.
The article warns that using AI to replace judgement can weaken execution, reduce accountability, and undermine long-term skills. Leaders should instead clarify where AI creates value, where it creates risk, and how people and technology can work together without compromising trust, quality, or responsibility.

IADS Notes: As AI investment reaches historic levels, the Seramount article enters a debate that has shifted from whether to adopt AI to where to draw the line. In June 2026, Journal du Net argued that governance failures, rather than AI capability itself, represent the primary risk to organisations scaling automation — reinforcing Seramount's point that accountability structures must precede large-scale deployment. BCG also argued in June 2026 that strategy matters more than tools, with unclear accountability becoming a central obstacle to effective adoption. McMillanDoolittle's May 2026 discussion of AI merchant and store manager tools illustrated how automation can accelerate decision-making while raising concerns about over-automation and the erosion of human oversight. Harvard Business Review, in April 2026, added that employee over-reliance on AI can weaken workplace culture and human connection. ESG Dive's December 2025 reporting on the AI trust gap reinforces Seramount's argument that hiring, performance management, ethics, capability building, and final accountability must remain human-led.

AI-ndependence: Succeed by delegating these six decisions to humans