AI is transforming the workplace—but not always in the ways we expect. While it promises efficiency, it’s quietly increasing pressure, accelerating burnout, and flooding teams with low-quality content. These hidden effects are rarely tracked, yet they shape how people experience AI every day. If we want adoption to succeed, we must design for humans, not just machines. This piece explores the silent costs of AI—and how leaders can manage them before they spiral.

Artificial intelligence (AI) is transforming industries at an unprecedented pace, and is impacting our future of work. But as we integrate AI into professional settings, a fundamental question exists: How do we build trust in AI?

AI360 Review Co-founder, Sarah Daly, was recently published in Sensemaking with AI: How Trust Influences Human-AI Collaboration. The study explores this question across different industry contexts, revealing how trust influences AI adoption, decision-making, and collaboration. The findings have implications for organizations looking to harness AI’s potential while ensuring it aligns with human values and professional norms.

As artificial intelligence (AI) reshapes industries, organizations face the challenge of balancing rapid adoption with responsible governance. According to a recent report from the Australian Securities and Investments Commission (ASIC), many organizations are adopting AI faster than they’re updating governance and risk management practices, particularly in sectors such as banking, insurance, and financial services. This gap poses significant risks, as without proper oversight, AI systems can introduce unintended biases, privacy issues, and compliance risks that undermine consumer trust and regulatory alignment.