Skip to content

New research exposes the complexity of deploying AI systems in the workforce

32% of organizations admit rehiring staff following layoffs because cost savings from AI didn’t materialize

Published by Orgvue 

March 12, 2026 – New York, US: Research from Orgvue, the organizational design and planning software platform, has revealed that the complexity of AI deployment is leading to costly mistakes and leaving organizations trapped in a “fire-and-rehire” cycle.

In the rush to take advantage of AI’s potential, organizations are deploying the technology without fully understanding the work they want to transform. As a result, 32% of organizations that made redundancies on the cost-saving promise of AI have had to rehire staff,exposing a critical gap between ambition and operational understanding.

The research points to the difficulties in deploying AI for workforce transformation, revealing that organizations are still in the early stages: 42% of organizations say they are “testing” or “researching” AI for deployment, and 23% of companies that made layoffs say they based their decisions on general assumptions about AI capabilities, rather than role-specific analysis.

This suggests a fundamental readiness challenge: AI’s impact on work is highly specific to tasks, roles, and workflows, so approximations about what it can replace don’t map to how work actually gets done.

Commenting on the findings, Jessica Modrall, Chief Product Officer at Orgvue, said:

“AI has genuine, transformative potential to reshape how organizations work, but that potential can only be unlocked when leaders have a clear, detailed picture of how work gets done today and who does it.

“Right now, too many organizations are deploying AI without understanding the work in detail. That’s not an AI problem; it’s a workforce intelligence problem.”

Notably, the research also found that workforce disruption is being driven more by economic forces than by AI: 43% of organizations say “economic conditions” are the primary reason for making redundancies, which together with “company restructuring” (31%) accounts for 74% of workforce reductions.

Meanwhile, 69% of HR leaders say AI is being used to justify a broader range of change initiatives, with cost saving representing 26% of the stated deployment rationale.

Modrall added:

“While the long-term potential of AI remains bright, sceptics will not be surprised to see that the technology can disappoint when it’s deployed in a purely cost-saving capacity. As a means of reducing or replacing the workforce, AI is not the solution many organizations hoped it would be.”

ENDS

About the research

Orgvue conducted this study in partnership with Watermelon Research, surveying 300 full-time managers (age 18+) within the HR field in the US. The sample included splits between HR executives, senior, middle and junior management titles. It also included a spread of geographies, company sizes and industries represented. Data was collected from September 11 to 25, 2025.

About Orgvue

Orgvue is an organizational design and planning platform that empowers your business to transform its workforce by understanding the work people do and the skills they have. Our platform connects strategy to structure, providing clarity of vision, so you can build a more adaptable, better performing organization that thrives in a constantly changing world of work.

The world’s largest and best-known enterprises and consulting firms use Orgvue to visualize and model current and future states of the organization and make faster, more informed decisions. The company is headquartered in the United Kingdom, with offices in the United States, Canada, Europe, and Australia.

For media enquiries and comment requests, please contact:

[email protected] / +1 415 891 4900 (US)

www.orgvue.com

More resources

A preview image of the eBook 'The fire-to-hire cycle' Ebooks & whitepapers The fire-to-hire cycle
A study of corporate job postings reveals that AI is not behind the layoff trend, despite the commonly held assumption that it is. So, what’s causing this seismic shift in workforce realignment? And do the benefits justify the costs?
Carissa Kilgour, Piers Linney, Oliver Shaw, and Dan Cave Webinars & events AI in workforce transformation: obstacles, risks and a human first approach
This panel discussion delves into the widespread influence of AI on modern society and the workforce, unpacking the trends and contradictions behind the business impact of AI.
An abstract image showing a hand interacting with interconnected data Articles Assessing the leadership divide on AI deployment
There’s a stir of mixed excitement and apprehension among leaders that has been driving the wave of business investment in AI to date but how that feeling lands depends on the seniority of the person you speak to. While management teams are generally in agreement about the need for organizations to evolve with AI, these two groups are divided in their opinion on the best way forward.
Three differently sized people icons representing different generations, alongside a computer chip icon representing AI Articles AI in the workforce: Generational differences and organizational planning
As the race to deploy artificial intelligence (AI) at work heats up, business leaders are considering the best ways to prepare for workforce transformation. But there’s one obstacle standing in the way: how generational differences affect organizational planning and what workers of different ages feel about AI.