Job Insecurity Has Stalled AI Adoption Among Agents
Managers must address employee fears of replacement to maintain the knowledge sharing critical for AI integration.
Updated on Sept. 22, 2026 in Remote Work

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Employee concerns regarding job automation have caused staff to withhold critical input from AI initiatives, according to insights shared by Secure Horizons executive Sarah Armstrong-Smith. This dynamic complicates efforts to balance emerging technology with the high human-interaction standards expected by insurance clients.
Why it matters
When workers fear that automation will replace their roles, they may stop contributing the institutional knowledge needed to refine and test new systems. This resistance can stall operational efficiency and inhibit the deployment of AI tools intended to meet rising client demands for speed.
While 77% of 238 surveyed agents report that clients now demand faster service, only 35% have integrated AI into daily operations. Among consumers, 87% still prioritize human agents for insurance decisions, even as 61% express a preference for agents utilizing AI-assisted workflows.
The players
Sarah Armstrong-Smith
Executive director at Secure Horizons and a former chief security advisor at Microsoft.
Secure Horizons
A firm focused on organizational security and digital strategy operations.
The details
Automation success hinges on human staff determining deployment locations and defining the scope of technological authority. When management fails to address concerns about job security, employees may withhold the institutional knowledge required to train and test systems effectively. This creates a bottleneck where leadership lacks the necessary frontline input to scale AI tools that could otherwise meet increasing customer expectations for service speed.
Timeline
September 22, 2026: Sarah Armstrong-Smith addressed the Dive In Festival opening.
Market Landscape
The Dive In Festival has provided a global forum for workforce discussions across its 12 editions, reaching nearly 200,000 people. This final event underscores a shifting industry trend where leaders are transitioning from early-stage AI hype to managing the operational friction caused by employee resistance.
Owners should evaluate whether internal communication strategies are addressing employee fears of replacement before scaling automation projects. Managers must treat AI deployment as a human-capital project rather than a purely technical one to ensure staff remain active participants in system testing.
The takeaway
The greatest threat to AI implementation is often not technical limitations, but internal disengagement caused by staff anxiety. Operators should initiate transparent feedback loops that clearly define how AI assists rather than eliminates existing roles.
Further reading
For broader trends on how managers are navigating digital transitions, visit Remote Work.
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Do you worry that increased AI adoption at your workplace will eventually lead to job losses?







