AI and data investment surge as Australian companies struggle to scale

Résumé détaillé

Just 8% of Australian data and AI leaders say their data is optimised for AI at scale, and only 15% of surveyed CIOs and CDAOs report returns from AI agents that meet or exceed...

Just 8% of Australian data and AI leaders say their data is optimised for AI at scale, and only 15% of surveyed CIOs and CDAOs report returns from AI agents that meet or exceed expectations, according to new research released by leading Australian IT service provider, Interactive.

Just 8% of Australian data and AI leaders say their data is optimised for AI at scale, and only 15% of surveyed CIOs and CDAOs report returns from AI agents that meet or exceed expectations, according to new research released by leading Australian IT service provider, Interactive.

The research, compiled by ADAPT Research & Advisory for Interactive’s whitepaper, The Unstoppable AI Blueprint, shows that virtually none of the chief data and AI officers surveyed rate their data fully ready for AI at scale, and only 13% of CIOs report returns from agentic AI that meet or exceed expectations

Asked which areas are least mature for scaling AI, CIOs rank technology and platforms last of six at 25%. Data foundations and quality top the list (40%), followed by workforce capability and adoption (38%), process design and operational readiness (38%), governance and risk management (36%) and value realisation and measurement (34%).

Interactive Head of Data and AI, Lizzy Jones said the organisations seeing real returns from AI are not the ones with the newest models, but the ones that have the right foundations underneath it.

“AI doesn’t sit above the rest of the technology estate. It amplifies whatever is already there, strengths and weaknesses alike,” Jones said. “What matters is the data a use case depends on, who can access it, where the workload runs and who owns the outcome.”

AI agents, systems that act rather than simply answer, are exposing those gaps faster. Seven in ten CIOs (71%) say their organisation is not prepared, or only slightly prepared, to manage an agentic workforce, and just 9% have enterprise-wide controls over what AI agents can access and act on.

"AI agents know a huge amount and reason…

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