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

Isometric editorial illustration of a heavy iron gear pressed against a solid block, symbolizing the tension in workplace technology adoption.
Employee concerns regarding job security have stalled the adoption of new AI initiatives at Secure Horizons, according to executive Sarah Armstrong-Smith. AI Illustration. Upload story photo >

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Do you worry that increased AI adoption at your workplace will eventually lead to job losses?

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

  1. 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.

Live Poll

Do you worry that increased AI adoption at your workplace will eventually lead to job losses?

Job Insecurity Has Stalled AI Adoption Among Agents