A significant trust gap is emerging at the heart of AI adoption, and new global research suggests it is being felt in Irish workplaces as acutely as anywhere else. A GoTo survey, conducted with Workplace Intelligence among 2,500 employees and IT leaders across ten countries including Ireland, finds that 83% fear they could be blamed or fired over an AI-driven mistake. For associations and institutes with members navigating this environment, the findings are a diagnostic and a call to lead.

The research makes a compelling case for association leadership on AI governance as an immediate priority. Three structural failures define where professional bodies can deliver the most value: the policy vacuum generating anxiety, the accountability confusion encouraging careless behaviour, and the training deficit leaving workers unsupported.

The policy vacuum is striking. Only 24% of small businesses and 36% of midsize companies had a formal AI policy, compared with 53% of enterprises, leaving most workers without guidance on what is permitted and who is responsible when something goes wrong. Some 84% said their employer could do more to encourage responsible AI use, and 31% reported unspoken pressure to trust AI and stay quiet about mistakes.

The accountability confusion is the most consequential finding for any organisation pursuing organisational excellence in AI deployment. Some 55% do not always review or double-check AI outputs even for high-stakes tasks, while 43% admitted to using outputs they believed were low quality or contained errors. Some 25% said it feels safer to blame AI than to admit a personal error, and 17% had already done so.

The training deficit connects directly to the anxiety. Rich Veldran, CEO of GoTo, observed that without clear guardrails, AI’s potential is being eroded by anxiety, misuse, and unaddressed risk. Dan Schawbel of Workplace Intelligence added that organisations are accelerating AI adoption without the training employees need. For associations, this is a brief for professional development programmes and member engagement initiatives that translate AI governance into practice.

Three priorities stand out for association leaders. First, publish plain-language AI governance toolkits that small and midsize member organisations can adopt as the foundation of a formal AI policy. Second, develop a clear communication strategy that normalises reporting AI errors as a safety behaviour, not a career risk. Third, create peer learning forums where members can share tested accountability frameworks and output-review practices.

The GoTo survey captures a moment when AI adoption and AI readiness are pulling in opposite directions. Workers are under pressure to use AI tools that their organisations have not yet learned to govern. For associations and institutes across Ireland, this is a defining opportunity to serve the small and midsize businesses that make up the backbone of the Irish economy.