A new report by Australian digital and data consultancy V2 Digital has revealed a significant gap between the perceived benefits of AI and its actual implementation in Australian businesses. Despite widespread recognition of AI’s potential, many organisations are struggling to overcome hurdles that prevent them from fully harnessing its power.
The inaugural State of AI in Australia report, based on a survey of over 400 professionals, underscores the challenges businesses face in adopting AI. While 86% of respondents agree that AI should be embraced, only 21% consider their organisation to be AI-mature.
Dr Pete Stanski, Chief Technology Officer at V2 Digital, comments, “Many companies are struggling to implement AI, primarily due to overwhelming workloads and competing priorities. Respondents consistently cited the difficulty of allocating resources to AI initiatives amidst a multitude of pressing projects. This “busy being busy” mentality is a significant hurdle”.
“Additionally”, says Stanski, “a shortage of skilled AI personnel is hindering adoption. Employees are eager to upskill but often lack the necessary resources and support. This, combined with the general challenges of introducing new technologies, creates a significant barrier”.
Key barriers to AI adoption identified in the report include:
- Competing priorities: Businesses are overwhelmed with urgent tasks, making it difficult to prioritize AI initiatives.
- Lack of skills: A shortage of AI talent hinders implementation efforts.
- Lack of strategy: Many organisations lack a clear AI strategy, leading to inconsistent adoption.
- AI bias: Concerns over bias in AI systems are prevalent, with 72% of respondents reporting personal experiences with AI bias.
To gain deeper insights into these challenges, V2 Digital consulted with industry leaders from organisations such as QBE Insurance, Boston Consulting Group, TechDiversity Foundation, TikTok, and UNSW. Their expertise provided valuable context to the research findings.
Steve Tzortzidis, Director of Data and AI at V2 Digital, emphasised the importance of data maturity for successful AI adoption. “Organisations need a solid foundation of data management and governance in place before they can effectively leverage AI,” he said.
Dr Stanski, added that overcoming competing priorities and addressing AI bias are crucial for driving AI adoption. “Businesses need to clearly define their AI goals and allocate sufficient resources to achieve them,” he said. “Additionally, it’s essential to implement robust measures to mitigate AI bias and ensure fairness and equity.”
Recommendations
Investing in internal AI training programs is crucial. Dr Stanski recommends, “By assessing the workforce’s skills and capabilities, organisations can identify training needs. Encouragingly, 43% of respondents indicated plans to create such programs, suggesting a growing recognition of their importance. Allocating dedicated training budgets can provide the necessary impetus”.
Empowering employees through experimentation is vital. Dr Stanski advises,“Creating small, cross-functional AI squads can foster innovation. By encouraging employees to tackle real-world problems through rapid prototyping and agile methodologies, organisations can identify potential AI applications and develop a strategic roadmap. These initial projects can also help secure funding for larger-scale AI initiatives”.
The report highlights the need for Australian businesses to prioritise AI adoption, invest in training, and develop comprehensive AI strategies to remain competitive in the digital age. By addressing the identified challenges, organisations can unlock the full potential of AI and drive efficiency, innovation, and growth.
To kickstart your AI journey Dr Stanski recommends, “consider small-scale pilot projects focusing on areas with high improvement potential, such as customer experience. For instance, analysing call recordings using AI can transcribe speech to text, assess sentiment, and compare outcomes against operating procedures. This enables performance reflection and identifies areas for enhancement”.
However, data governance is paramount. Safeguarding sensitive information is crucial as AI models learn from data. Additionally, AI necessitates a cross-functional approach due to its impact on various departments, including those related to jobs and job security.
“While there’s uncertainty about AI’s future, we believe a collaborative human-AI partnership is essential. By initiating pilot projects and gaining firsthand experience, organisations can effectively harness AI’s potential for long-term success”, concludes Dr Stanski.
