Artificial intelligence has become deeply embedded across Australian businesses, appearing in diverse functions from marketing to finance and software development. However, the widespread adoption is characterized more by its untamed implementation than by coordinated strategy, prompting a reevaluation of how organizations convert AI tools into meaningful growth rather than mere cost-saving measures.
Justine Leong, managing director of creative technology agency AKQA, highlights that the prevailing discussion about AI’s value—centered on human and machine collaboration—has largely been settled. The emerging focus is on the methods and processes that transform AI-driven platforms into sources of innovation and competitive advantage.
One significant shift observed is in the creative process. AI has lowered the barriers to experimenting with ideas, enabling teams to explore a greater diversity of concepts rapidly and with less risk. Traditionally, expensive prototyping forced businesses to carefully vet ideas before investing heavily, often leading to entrenched commitments based on prior expenditure rather than merit. In contrast, AI-assisted workflows support faster idea generation and early elimination of weaker options, improving the overall selection process. This transition from incremental efficiency to unlocking new possibilities marks a profound change in how businesses innovate.
Leong notes that many creative ventures historically languished in a “too hard basket” due to technological limitations, budget constraints or protracted development timelines. Innovations that previously seemed unreachable can now be realized as functioning prototypes within 24 hours, allowing organizations to assess potential value through rapid testing and audience feedback. This provides decision-makers with data-driven insights earlier in the development cycle, shifting reliance away from intuition toward evidence-based choices.
The impact of AI also extends to organizational collaboration. Drawing a parallel with Pixar’s Emeryville headquarters—designed to foster spontaneous interaction between animators, computer scientists and storytellers—Leong emphasizes the importance of dismantling traditional silos. Instead of ideas funneling through multiple layers before reaching engineers, now creatives and technical experts engage directly, generating value through their interaction rather than isolated contributions.
A further challenge lies in the evolving dynamic between humans and AI models themselves. Instances such as candidates trapped in repetitive loops with AI screening bots illustrate current limitations and underline the absence of established protocols for effective human-machine communication. Although guidelines are beginning to emerge, organizations generally lack formal management of these interactions.
Despite AI’s prominence, Leong stresses that human relationships remain critical. People maintain higher expectations of one another than of machines, engaging in rigorous debate and pushing beyond initial AI outputs. This friction is crucial in elevating ideas beyond what AI alone can generate.
Finally, while many individuals within companies have enhanced their productivity through AI tools, scaling these gains to drive company-wide growth remains a complex task. The focus is shifting toward identifying effective practices, addressing gaps and designing systems that extend individual efficiency across teams. According to Leong, this organizational transformation, rather than technology itself, represents the most significant evolution underway.
Much of the current conversation around AI in Australian business revolves around efficiency—reducing hours, lowering costs and streamlining teams. While these benefits are tangible, Leong argues they do not equate to growth. Efficiency keeps existing operations lean but does not chart new directions or ambitions. The key distinction lies in intentional leadership aligning people and AI tools with bold objectives, enabling organizations to pursue previously unattainable ideas with confidence. As AI continues to spread organically, sustained growth will depend on purposeful cultivation rather than passive adoption.