Australian Digital Delivery Alliance spokesperson David Heacock says AI hype is outpacing results, with poor ROI today but steady progress in healthcare and targeted, well-trained deployments.
In this interview with ADAPT’s Head of Programs & Value Engagement Byron Connolly, he compares the current AI wave to the early days of the web, marked by huge investment but limited results, and argues the technology is still in its experimental phase and steadily improving.
“I am not at all surprised that the return on investment at the moment is very very low. It’s not a mature technology.”
He warns against expecting the reliability and predictability of traditional systems from today’s AI agents, noting that a lack of quality and consistency is leading to abandoned projects.
ADAPT’s latest data shows only 36% of Chief Data and Analytics Officers have AI usage policies, with 23% having no plan or training in place.
Healthcare making practical gains
While many vendors overpromise, David sees encouraging progress in healthcare, where discrete tools like Heidi Health’s AI medical scribe are being adopted by GPs.
“It’s saving them a lot of time but it’s a very discrete use case and they’ve had real teething problems to get it this far.”
Behind the scenes, AI is being used to help decide patient care pathways and discharge planning, though poor legacy data quality remains a major obstacle.
Treat AI like a scalable staff member
David urges leaders to see AI systems as employees who require training, management, and investment.
“The effort that you put in needs to be commensurate with the kind of effort that you would put into a new call centre operator and their manager,” he says.
With realistic expectations, he believes organisations can bridge the last 5% gap between experimentation and dependable delivery.
Read our full analysis of David’s interview for more insights into AI’s current shortcomings, healthcare progress, and strategies for closing the performance gap.