AWS’s new leader for Australia and New Zealand steps into the role just as the company lines up a huge $20bn bet on local AI infrastructure. Demand is strong, with organisations across sectors pushing ahead on AI projects instead of pausing over regulatory or tax concerns.
Boardroom conversations focus on how AI could reshape customer experiences, not whether a single tax change should slow things down.
AWS plans to channel the $20bn into building and expanding cloud and AI capacity in Australia and New Zealand, supporting everything from model training to AI-powered applications. The investment lands as the federal government scraps a discount on capital gains tax, a move some expected might dampen risk appetite.
Many of the companies AWS serves, from software providers to major retailers and banks, are leaning into AI to chase new revenue and efficiencies. AI is now treated as a core strategic capability, not an optional experiment.
Executives at these firms admit they do not yet know the full size of the opportunity or the total addressable market AI might unlock in their industry. That uncertainty is pushing them to experiment faster with generative models, automation and data-driven services.
Leaders across sectors are exploring how AI can personalise products, streamline operations and transform how customers interact with brands. Internal conversations increasingly revolve around how quickly they can deploy AI safely, rather than whether they should invest at all.
AWS’s regional boss highlights a different drag on AI adoption, the shortage of people with the right technical and business skills to deploy it effectively. This skills gap is more significant than tax settings in determining how fast organisations can roll out new AI-powered services.
Companies that can combine cloud engineers, data scientists and product teams are moving quickly, while others risk falling behind. That tension between ambition and available talent now shapes much of the AI race in Australia and New Zealand.
