**The AI Trust Divide** A significant portion of professionals—around two-thirds—feel stagnant in their jobs, largely due to “AI anxiety” as organizations undergo rapid changes influenced by artificial intelligence (AI). A research by Workday highlights a trust gap, with 62% of leaders confident in responsible AI use compared to only 55% of employees who share that sentiment. This disconnect poses risks to workplace culture and the successful uptaking of AI, especially with increasing investments in technology. Reid Hoffman compared AI to previous industrial revolutions, calling it "the steam engine of the mind. " However, AI introduces complex issues regarding decision-making, privacy, and the future of work. Here are three significant considerations: 1. **Surveillance**: Employees are concerned about AI tracking their work and personal activities. A Gartner study reveals that while most digital workers would accept monitoring for benefits, they want to see clear value, such as career development. The balance between privacy and safety is evolving workplace policies; for instance, the Teamsters Union successfully opposed driver-facing cameras at UPS due to concerns about surveillance and discipline, despite the safety benefits these devices provide. On a positive note, AI can enhance workplace culture; for example, Koala’s VP, Netta Effron, emphasized using AI to monitor employee sentiment proactively. 2. **Job Security**: McKinsey indicates that 30-40% of current tasks might become automated in the next 10-20 years, but this doesn't necessarily mean job losses. The focus should be on how organizations can leverage increased productivity—whether through upskilling employees for more significant roles or opting for workforce reduction.

Knowledge workers are notably benefiting from AI; according to the same Gartner study, productivity in roles reliant on information has surged by an average of 66% post-AI tool implementation. 3. **Ethics**: New York City has set a precedent with Local Law 144, mandating employers to conduct bias audits on automated employment decision tools before use. This law, which governs tools that assist in hiring processes, aims to prevent perpetuating workplace biases. The European Union is advocating for stricter regulations surrounding workplace AI, particularly in monitoring and data privacy. **A Way Forward** To bridge trust with AI, organizations must involve employees in ethical considerations and governance. Telstra has taken a progressive step by joining UNESCO’s Business Council to promote ethical AI practices, working alongside renowned companies like Microsoft and Salesforce. As Kim Krogh Andersen from Telstra notes, responsible AI deployment can significantly benefit society when managed thoughtfully. To foster trust, leaders should evaluate current confidence levels within their workforce, create transparent governance, and invest in employee education while remaining informed about new laws and the evolving tech landscape. Building trust in AI also means focusing on human factors, with success hinging on clear policies and employee involvement in AI implementations. According to Professor Mary-Anne Williams, the perception of AI as a supportive tool rather than a decision-maker is crucial. Helen Mayhew underscores the need for honest discussions about both the advantages and challenges ahead. Organizations that help employees view AI as a developmental ally rather than a threat will be better positioned to thrive in this new work era.