What does it take to move from AI experimentation to responsible, scalable adoption?

David Walker (former) Group Chief Technology Officer at Westpac & DBS and Chair of the AI Council at UNSW draws on experience at DBS and Westpac to explain why most organisations struggle to realise AI value. David positions AI as a general purpose technology that demands organisation-wide change, not just technical implementation. The gap between ambition and results comes from organisational readiness, not the capability of the technology itself.

AI adoption is an organisational challenge, not a technology one

Most barriers to AI adoption sit within organisational structures, leadership, governance and processes rather than in the technology.

Organisations often invest heavily in AI tools but fail to realise value because they are not equipped to absorb change. Without alignment across leadership, funding, governance and operating models, AI initiatives stall or remain experimental.

Nimble organisations unlock AI value faster and at scale

David identifies that fewer than 1% of organisations are truly ready to scale AI, and those that succeed build “nimble” operating models that can absorb change quickly.

Nimble organisations achieve faster adoption and significantly higher economic value. They combine speed of change with the ability to reinvent processes, allowing them to capture productivity and cost benefits earlier than peers. This creates a widening performance gap over time.

Leadership, culture and capability drive transformation

Successful organisations embed eight capabilities, including strong executive ownership, citizen focus, organisation-wide innovation, continuous learning, adaptive governance and flexible technology foundations.

AI cannot sit within a single team. It requires coordinated effort across leadership, strategy, operations, technology and people functions. Empowering staff, building learning cultures and redesigning processes at scale enables organisations to move beyond pilots and embed AI into core operations.

Key takeaways

• AI adoption depends more on organisational readiness than on technology maturity.
• Nimble organisations capture value faster by combining speed, reinvention and alignment.
• Leadership ownership, cultural change and enterprise-wide capability building are essential to scale AI successfully.