One aspect of Australia’s AI debate caught my attention this week.

The Federal government’s chosen framing is that AI must “earn its social licence” - the same language it used when introducing the under-16s social media ban. That feels deliberate. It suggests AI is being viewed not simply as the next wave of productivity infrastructure, but as a technology whose societal impacts need to be demonstrated and managed before widespread adoption.

There is a broader lesson here.

Governments have spent almost two decades grappling with the negative externalities created by social media. Misinformation, mental health impacts, online safety, market concentration and the unintended consequences of engagement-driven algorithms were, in many respects, addressed long after they became systemic problems. Policy largely followed events.

With AI, policymakers appear determined to avoid repeating that pattern. Rather than waiting for the consequences to emerge at scale, they are attempting to establish the policy architecture while the technology is still accelerating.

Whether they get those settings right on the first attempt is an open question. History suggests they probably won’t. Technology evolves faster than regulation, and first-generation policy rarely survives contact with reality unchanged.

But there is an important distinction between getting every setting right and recognising that action needs to begin before the horse has well and truly bolted.

For organisations building AI-enabled products, services or business models, this means paying attention not just to the rules themselves, but to the underlying philosophy driving them. A “social licence” approach places the burden on AI providers to demonstrate that benefits outweigh harms. That is a fundamentally different regulatory posture from one focused primarily on enabling innovation with light-touch safeguards.

The policy details will evolve. The framing may prove far more durable.

#AI #AIRegulation #TechPolicy #Leadership #AusPol