90% of Companies Use AI in Hiring. Fewer Than 5% Are Seeing It Work

Rhea-AI Summary

ManpowerGroup (NYSE:MAN) released research showing AI adoption in hiring is widespread but impact is limited. Over 90% of organizations use AI in talent acquisition, yet fewer than 5% report transformational outcomes.

The study cites fragmented workflows, governance gaps, data issues, and AI-assisted candidate behavior as key barriers, and proposes a four-stage roadmap focused on workflow redesign rather than simply adding more AI tools.

News Market Reaction – MAN

+2.97%

+2.97% Session close to close

In the Jun 23 session, MAN gained 2.97%, reflecting a moderate positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement underscores that over 90% of employers use AI in hiring, but fewer than 5% see tra...

Analysis

This announcement underscores that over 90% of employers use AI in hiring, but fewer than 5% see transformational gains. For MAN, it reinforces an AI thought-leadership role while highlighting execution, data, and governance challenges to watch.

Key Figures

AI adoption in hiring: More than 90% Transformational outcomes: Fewer than 5% Survey participants: 80 leaders +5 more

8 metrics

AI adoption in hiring More than 90% Organizations reporting active AI use in talent acquisition

Transformational outcomes Fewer than 5% Organizations reporting AI-driven transformational outcomes in hiring metrics

Survey participants 80 leaders C-suite, CHRO, and senior talent acquisition leaders surveyed in US and UK

Operational efficiency gains 39% Organizations citing significant AI impact on hiring operational efficiency

Change management barrier 58% Organizations citing change management and adoption as AI scaling challenge

Governance barrier 55% Organizations citing governance and compliance as AI scaling challenge

Data readiness barrier 55% Organizations citing data readiness limitations as AI scaling challenge

AI-assisted signal problem Nearly 54% Organizations saying AI-assisted candidate behavior makes capability assessment harder

Previous AI Reports

5 past events · Latest: Jun 16 (Neutral)

Same Type Pattern 5 events

Date	Event	Sentiment	24h Move	Catalyst
Jun 16	AI hiring outlook	Neutral	+2.6%	Experis Tech Talent Outlook highlighting Q3 2026 hiring trends and AI skill demand.
Jun 15	VivaTech AI focus	Neutral	-1.9%	VivaTech 2026 presence showcasing AI-powered tools and workforce strategy initiatives.
Jun 11	CIO AI ROI survey	Neutral	+2.8%	Experis CIO 2026 Outlook on AI ROI, business-IT alignment, and execution pressures.
Mar 24	VivaTech startup challenge	Neutral	+0.1%	Launch of VivaTech startup challenge for AI-powered workforce solutions and skills platforms.
Mar 03	AI interviewing rollout	Neutral	+3.8%	Global partnership to scale AI-based structured interviewing under a human-first hiring model.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged news for MAN has generally seen modestly positive next-day moves, with 4 of the last 5 AI releases closing higher.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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New research commissioned by ManpowerGroup Talent Solutions finds that fragmented workflows, governance gaps, and AI-assisted candidate behavior are blocking transformation even as adoption reaches near-universal levels.

MILWAUKEE, June 23, 2026 /PRNewswire/ -- More than 90% of organizations have deployed AI in talent acquisition, yet fewer than 5% report transformational outcomes. That gap is the central finding of The New Talent Equation: Building Better Talent Decisions, a new report commissioned by ManpowerGroup Talent Solutions and developed by Everest Group. The research examines why AI adoption in hiring has scaled rapidly, while its impact on how organizations make talent decisions continues to lag.

The report, the first in a two-part series, draws on a survey of 80 C-suite, CHRO, and senior talent acquisition leaders across the United States and the United Kingdom, spanning healthcare, life sciences, manufacturing, and technology. The findings were featured at VivaTech 2026 in Paris, where Talent Solutions executives joined global business leaders to discuss the shifting dynamics of AI-driven workforce strategy.

"AI is not transforming talent evenly, it is exposing it," said Caroline Pfeiffer Marinho, Global Senior Vice President, Talent Solutions RPO and Right Management. "While adoption is widespread, the ability to translate that into meaningful outcomes is far less consistent. What the research makes clear is that the constraint is no longer access to AI tools. It is how talent operations are designed around them. The organizations that move from deploying AI to redesigning how work gets done will be the ones that pull ahead."

"The conversation around AI transformation has largely focused on technology adoption. The research suggests the more significant challenge lies elsewhere," Sailesh Hota, Vice President, Everest Group, said. "As AI becomes embedded into workflows and decisions, organizations are discovering that adapting workforce models, leadership practices, and operating structures is proving equally important."

AI Adoption Has Scaled. Impact Has Not.
The research documents a significant and growing gap between AI's widespread deployment and its realized business value. More than 90% of organizations surveyed report active AI use in talent acquisition, concentrated in sourcing, resume screening, and candidate engagement. Yet fewer than 5% describe their outcomes as transformational across any key metric.

Thirty-nine percent of organizations report significant impact on operational efficiency — the clearest area of measurable gain. Improvements in decision quality, workforce agility, and strategic capacity remain limited, with moderate outcomes dominating across nearly every dimension the research examined.

The research identifies a core structural reason: most organizations are layering AI onto workflows built for a pre-AI environment. Isolated tools, siloed data, and outdated hiring processes are preventing AI from generating cumulative value across the full hiring lifecycle.

Key Findings

• Adoption is outpacing transformation. More than 90% of organizations have deployed AI in talent acquisition, but the vast majority remain in early maturity stages; automating tasks without rethinking how hiring decisions actually work.
  
  
• Fragmented systems are the primary constraint. Organizations cite change management and adoption challenges (58%), governance and compliance concerns (55%), and data readiness limitations (55%) as the top barriers to scaling AI. Most deployments continue to operate within isolated use cases rather than integrated, end-to-end talent workflows.
  
  
• AI is creating a new signal problem in hiring. Nearly 54% of organizations report that AI-assisted candidate behavior, AI-generated resumes, applications, and interview preparation, is making it harder to accurately assess true candidate capability. Hiring managers are finding it increasingly difficult to distinguish between a genuinely skilled candidate and one who simply used AI to polish their application.
  
  
• Quick wins are crowding out transformation. Nearly 72% of organizations report achieving expected AI outcomes within two years, with 26% realizing value in under a year. But the research finds this speed comes at a cost: organizations are prioritizing near-term, measurable gains over the deeper workflow redesign and governance investment required for lasting impact. The result is faster hiring processes, but not smarter hiring decisions.
  
  
• The path forward is redesign, not more deployment. The research outlines a four-stage roadmap — from rationalization through adoption, enablement, and transformation — and identifies the foundational investments in data integration, governance, and operating model alignment required to move organizations across it.

The New Talent Equation: Building Better Talent Decisions is available now at mpgtalentsolutions.com/the-new-talent-equation. Part II of the series examines the human side of AI transformation, including workforce readiness, leadership capability, and how organizations can move beyond isolated deployments to redesign how work gets done, and will be released soon.

ABOUT MANPOWERGROUP TALENT SOLUTIONS
Talent Solutions combines RPO, TAPFIN-MSP, and Right Management to deliver end-to-end, data-driven capabilities across the talent lifecycle. Drawing on deep industry expertise and a genuine understanding of what talent wants, we help organizations address complex workforce needs, from attraction and acquisition to upskilling, development, and retention. Through seamless delivery, best-in-class technology, and extensive workforce insights, we serve clients across multiple countries and at scale. Talent Solutions is part of the ManpowerGroup^® (NYSE: MAN) family of brands, which also includes Manpower and Experis.

For more information, visit www.mpgtalentsolutions.com, or follow us on LinkedIn.

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SOURCE ManpowerGroup

FAQ

What did ManpowerGroup (NYSE:MAN) report about AI adoption in hiring in June 2026?

ManpowerGroup reported that over 90% of organizations now use AI in talent acquisition. According to ManpowerGroup, usage is concentrated in sourcing, resume screening, and candidate engagement, but most firms remain in early maturity stages and see limited impact on deeper talent decisions.

How many companies see transformational results from AI in talent acquisition according to ManpowerGroup?

Fewer than 5% of organizations describe their AI hiring outcomes as transformational. According to ManpowerGroup, most report only moderate gains across decision quality, workforce agility, and strategic capacity, with significant impact mainly in operational efficiency rather than broader talent decision improvements.

What barriers to effective AI in hiring did ManpowerGroup identify in its 2026 research?

ManpowerGroup highlighted fragmented systems and operations as primary constraints on AI’s impact in hiring. According to ManpowerGroup, top barriers include change management and adoption challenges (58%), governance and compliance concerns (55%), and data readiness limitations (55%), which keep AI stuck in isolated use cases.

How is AI-assisted candidate behavior affecting hiring decisions, according to ManpowerGroup research?

AI-assisted candidate behavior is making it harder to assess true skills in hiring. According to ManpowerGroup, 54% of organizations say AI-generated resumes, applications, and interview preparation create a new signal problem, blurring the line between genuinely skilled candidates and those polished by AI tools.

What roadmap does ManpowerGroup propose to improve AI-driven talent decisions?

ManpowerGroup proposes a four-stage roadmap focused on redesigning work around AI rather than just deploying more tools. According to ManpowerGroup, the path moves from rationalization through adoption and enablement to transformation, emphasizing data integration, governance, and operating model alignment across end-to-end talent workflows.

Where can investors find ManpowerGroup's 'The New Talent Equation' report on AI in hiring?

The report 'The New Talent Equation: Building Better Talent Decisions' is available online. According to ManpowerGroup, it can be accessed at mpgtalentsolutions.com/the-new-talent-equation and is the first part of a two-part series on AI-driven workforce transformation.