# Generative AI productivity depends on work redesign

> OECD research indicates that generative AI can improve productivity, while also stressing that organisations must adapt processes, strategies, and skills to realise its potential.

*Published 2026-06-13 · canonical: https://promptleash.com/research/productivity-depends-on-work-redesign*

_Evidence status: a PromptLeash review of external research, not original PromptLeash research or a customer benchmark._

## What the evidence indicates
- Generative AI can improve short-term worker productivity through automation and augmentation.
- Realising wider productivity gains depends on complementary changes to organisational processes, strategies, and capabilities.
- The impact varies by task, worker, implementation context, and how performance is measured.

## Implications for transformation leaders
- Prioritise specific workflows rather than broad, tool-led adoption campaigns.
- Measure capability and output quality alongside usage.
- Treat implementation as an organisational change program, not only a technology rollout.

## Limitations
- The report synthesises an evolving evidence base, including studies with different tasks and time horizons.
- Short-term experimental productivity effects may not persist or translate directly into organisation-wide outcomes.
- PromptLeash has not independently reproduced the source analysis.

## Original sources
- [The effects of generative AI on productivity, innovation and entrepreneurship](https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/06/the-effects-of-generative-ai-on-productivity-innovation-and-entrepreneurship_da1d085d/b21df222-en.pdf) — OECD (2025-06-18)