# Research Finds AI Front-Runners Shifting Team Design as Firms Expect Change By John Kim Canonical URL: https://www.tokenpost.com/news/business/43287 Published: 2026-10-29T07:07:35.000Z Updated: 2026-10-29T07:07:35.000Z Section: Business > Nearly 75% of technology leaders expect operating-model changes within 12 to 18 months, while a qualitative review identified practices at selected companies. Some corporate AI front-runners are changing team design, while technology leaders expect wider operating-model shifts within 12 to 18 months as firms reconsider decision authority and accountability. As AI moves beyond individual tasks, it may affect how companies organize work. It outlines potential implications for work structure, decision authority and accountability. In one survey, 80% of respondents cited an improvement in individual productivity, compared with 37% who described AI's effect on earnings before interest and taxes (EBIT) as positive. Those answers are self-reported measures, not a record of productivity gains converting into earnings. They also do not establish that AI caused either result. The comparison overlaps with TokenPost's [earlier coverage of AI and corporate EBIT](), which examined the gap between productivity reports and financial impact. A survey of 662 technology leaders ran from Dec. 22, 2025, to Feb. 23, 2026. Nearly 75% expected their organizations' operating models to need changes within 12 to 18 months. At the same time, 81% said their organizations could deploy and govern AI at scale. These figures address different questions: capacity to manage AI deployments and expectations about organizational change. They do not show that companies able to deploy AI have completed a redesign. A qualitative review covered selected companies from March through August 2026; the sample was not representative of all companies. Some reviewed designs gave teams responsibility for outcomes, distributed some decisions, included human review of AI-generated work and tied rewards to impact. These examples describe choices made by selected companies, not how common each practice is across businesses. Taken together, the research describes expectations and selected organizational changes, not a uniform pattern across companies. It does not establish that AI is broadly eliminating middle-management positions or automatically causing layoffs. The surveys and review measure different things: reported productivity, leaders' expectations and practices at selected firms. ## Links in this article - [earlier coverage of AI and corporate EBIT](https://www.tokenpost.com/news/technology/29935)