Cisco research: Trust, not technology, is now the speed limit on enterprise AI
For several years, the conversation about enterprise artificial intelligence has focused on capability: which model is smartest and which GPU is fastest. That made sense when technology was the constraint. It isn’t anymore. AI can now do far more than most organizations will allow, and the gap is trust. That’s the core finding of “Permission […] The post Cisco research: Trust, not technology, is…
Recent research by Cisco reveals that trust, not technology, is now the primary obstacle to scaling enterprise AI adoption. The study, titled "Permission to Scale: The Critical Role of Trust in Successful AI Adoption," surveyed 25 Australian organizations and highlights the importance of trust in AI deployment. Half of Australians use AI regularly, but only 36% trust it, and 30% believe its benefits outweigh the risks, making Australia a challenging test case for AI adoption.
To build trust in AI, the report suggests focusing on four key elements: ownership, competence, consistency, and transparency. Companies must also establish measurable evidence of trust, such as successful use and clear benefits, rather than waiting for trust before deployment. Leaders who demonstrate AI adoption, like Cisco's chief technology officer Carl Solder and Funlab's group culture and enablement manager Naz Wilson, can help overcome employee and customer pushback.
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