How to Build AI Literacy That Drives Adoption with Greg Freeman, Data and AI Literacy Academy [088]

Most AI programmes fail because companies teach tools instead of changing how work gets done. Real AI literacy is not “buttonology”; it is the confidence, judgement and curiosity to rethink problems, redesign workflows and experiment safely. Leaders must go further than frontline users. Their role is to challenge legacy processes, remove organisational blockers and create the conditions for adoption. Simply layering AI onto a 25-step workflow will not deliver transformation when the process itself could be rebuilt in ten. Greg, a commercial leader turned founder of the Data and AI Literacy Academy, argues that AI adoption is fundamentally a multi-year change programme. The biggest obstacle is often the “frozen middle”: managers who connect executive ambition with day-to-day execution but may resist disruption. Sustainable ROI therefore depends on behavioural science, internal communications, role-specific learning and continual reinforcement. Companies should also measure return on employee, including retention, fulfilment and the ability to shift people from repetitive tasks into more strategic work.