Toyota develops its own AI tools with goal of preserving jobs, executive says

Toyota is building its own AI tools to protect jobs rather than cut them, according to a senior executive at Woven by Toyota. The company is testing this approach at Woven City before rolling it out more broadly.

Published on: May 05, 2026
Toyota develops its own AI tools with goal of preserving jobs, executive says

Toyota Builds Its Own AI to Protect Jobs, Not Replace Workers

Toyota is developing artificial intelligence systems designed to preserve employment rather than eliminate it, according to Daisuke Toyoda, senior vice president at Woven by Toyota.

Toyoda leads Woven City, Toyota's test course for future mobility technology. AI underpins much of the development happening there, he said.

The approach reflects a deliberate choice by the automaker. Rather than adopting off-the-shelf AI tools to automate tasks, Toyota is building systems tailored to its workforce and manufacturing philosophy.

This strategy matters for executives weighing how to integrate AI. Toyota's model suggests that companies can deploy the technology to augment workers rather than displace them-a choice that affects both talent retention and organizational culture.

The company's approach contrasts with some industry peers who have pursued rapid automation. Toyota's focus on job preservation may also reduce workforce resistance to AI adoption, a challenge other manufacturers have faced.

For strategy leaders, the decision raises questions about competitive advantage. Does protecting jobs limit efficiency gains? Or does workforce stability and morale deliver returns that offset slower automation timelines?

Toyota's experiment in Woven City will provide data on those trade-offs. The test course serves as a laboratory where the company can refine how humans and AI systems work together before scaling approaches across its broader operations.

Learn more about AI for Executives & Strategy to understand how other organizations are making similar decisions about AI deployment and workforce impact.


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