Qualtrics: AI Boosts Engagement 10 Points, But Only 44% of New Hires Plan to Stay 3 Years
Here is an uncomfortable finding for every HR leader who equates organizational change with employee burnout: employees who experienced significant change in the past year actually report higher engagement than those who did not.
That is the headline tension running through the Qualtrics 2026 Employee Experience Trends Report, a study of 33,831 employees across 24 countries and 30 industries. Data was collected September through October 2025 and published on February 5, 2026. The finding reframes the conventional HR narrative — change itself is not the enemy. Poorly managed change is.
And right now, two forces are reshaping employee experience simultaneously: AI adoption is lifting engagement to new highs, while new hire onboarding is deteriorating to five-year lows. Both demand immediate attention.
AI Adoption Is an Engagement Accelerator
The Qualtrics data shows that 52% of employees now use AI daily or weekly — up seven percentage points year-over-year. More importantly, AI adoption correlates with a +10-point increase in employee engagement.
This is not a marginal effect. For context, layoffs correlate with a -7-point decrease in engagement. AI adoption is delivering an engagement lift nearly 1.5 times the size of the engagement hit that layoffs cause — but in the positive direction.
The nature of the lift matters too. Thirty-seven percent of employees say AI enables capabilities they previously could not perform — not just doing existing work faster, but expanding what is possible. That capability expansion likely explains why 72% of employees who experienced significant organizational change in the past year report higher engagement rather than fatigue. When change comes with new capabilities, employees lean in rather than check out.
The New Hire Crisis Nobody Is Talking About
Beneath the AI engagement story, a quieter crisis is building. New hire engagement and retention intent have fallen to their lowest levels since 2021.
The numbers are stark:
- Only 44% of new hires intend to stay with their employer for more than three years
- New hires' ability to challenge the status quo dropped from 64% to 50%
- New hires who feel they can communicate openly and honestly fell from 71% to 63%
These are not minor dips. New hires are arriving into organizations that are rapidly adopting AI and restructuring workflows — but nobody is onboarding them into this new reality. They feel less empowered, less heard, and less committed than any cohort in five years.
Shadow AI: The Problem Hiding in Plain Sight
The link between these two stories is shadow AI. Only 20% of employees use exclusively company-provided AI tools — down from 22% the prior year. Under high pressure, 37% of employees source their own AI tools entirely outside IT governance.
That means 80% of employees are bypassing company IT for at least some of their AI usage. For new hires who receive minimal guidance on approved tools, the path of least resistance is to find their own solutions. The new hire disengagement problem and the shadow AI problem are likely the same problem: organizations are failing to provide structured, accessible AI enablement from day one.
The LinkedIn 2026 Talent Velocity Advantage Report corroborates this gap. Only 14% of organizations qualify as "velocity leaders" with real-time skills visibility, yet 90% of organizations want better skills visibility. Without knowing what skills employees have — or what AI tools they are already using — HR teams cannot close the enablement gap.
What HR Teams Should Do
The Qualtrics data contains one finding that doubles as a playbook: organizations that increased their listening frequency saw employee experience metrics up to 4x higher than those that did not.
Four actions follow directly from the data:
Front-load AI onboarding for new hires. If 52% of your workforce uses AI weekly but new hires have no structured introduction to approved tools, you are manufacturing disengagement. Build AI tool orientation into the first-week experience.
Increase listening cadence — especially for the first 90 days. The 4x improvement from increased listening frequency is too large to ignore. Pulse surveys at 30, 60, and 90 days can catch the engagement cliff before new hires mentally check out.
Audit shadow AI before regulating it. With 80% of employees using non-company AI tools, blanket bans will not work. Survey what tools employees are already using, evaluate the most popular ones for compliance, and formalize the best into approved toolkits.
Reframe change as capability expansion. The finding that change drives higher engagement — when paired with new capabilities — should reshape internal communications. Lead restructuring announcements with "here is what you will now be able to do," not "here is what is changing."
Methodology Note
The Qualtrics findings are based on self-reported survey data from 33,831 employees across 24 countries and 30 industries, collected between September and October 2025. Self-reported engagement and AI usage data may differ from observed behavior. The correlational finding between AI adoption and engagement (+10 points) does not establish causation — organizations with higher engagement may also be more likely to adopt AI. LinkedIn data cited is from a separate methodology and is used here for directional corroboration only.
Sources:
- Qualtrics, "2026 Employee Experience Trends Report," February 5, 2026 (n=33,831; 24 countries; 30 industries; data collected Sep–Oct 2025). https://www.qualtrics.com/ebooks-guides/employee-experience-trends/
- PRNewswire, "Qualtrics: Employees Thrive Through Change," February 5, 2026. https://www.prnewswire.com/news-releases/qualtrics-employees-thrive-through-change-302679648.html
- LinkedIn, "2026 Talent Velocity Advantage Report," 2026. https://learning.linkedin.com/resources/talent-velocity-report
What does the Qualtrics 2026 EX Trends Report find about AI and employee engagement?
The report, based on 33,831 employees across 24 countries, finds that AI adoption correlates with a +10-point increase in employee engagement. For comparison, layoffs correlate with a -7-point decrease. Fifty-two percent of employees now use AI daily or weekly, up seven percentage points year-over-year.
Why are new hire retention rates declining in 2026?
New hire engagement and retention intent have fallen to their lowest levels since 2021. Only 44% of new hires intend to stay more than three years. The report suggests new hires are arriving into AI-transformed workplaces without structured onboarding for new tools — feeling less empowered, less heard, and less committed as a result.
What is shadow AI and why should HR leaders care?
Shadow AI refers to employees using AI tools outside of company-approved IT governance. The Qualtrics report finds only 20% of employees use exclusively company-provided AI tools, meaning 80% bypass IT for at least some AI usage. For new hires with no structured AI onboarding, shadow AI becomes the default path, creating security and compliance risks.
What actions does the Qualtrics data recommend for HR teams?
Four data-backed actions emerge: front-load AI onboarding for new hires in their first week; increase pulse survey cadence at 30, 60, and 90 days (organizations that increased listening frequency saw EX metrics up to 4x higher); audit shadow AI before restricting it; and reframe change communications around capability expansion rather than disruption.