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Australia's AI Readiness: The Urgency of Strategic Planning

Discover why only a third of Australian businesses have a clear AI deployment plan and the potential consequences. Learn why strategic planning is crucial.

July 20, 2025
By Visive.ai Team
Australia's AI Readiness: The Urgency of Strategic Planning

Key Takeaways

  • Only 33% of Australian businesses have a clear vision for AI implementation, despite 82% planning to increase AI spending.
  • The lack of skilled staff and strategic planning is dragging down Australia's AI readiness score.
  • Employee concerns about job security are widespread, with 60% of executives reporting such worries.

Australia's AI Readiness: The Urgency of Strategic Planning

The latest AI Maturity Index, prepared by ServiceNow and Oxford Economics, reveals a concerning trend in Australia's business landscape. Despite a widespread commitment to increasing investment in AI, only a third of Australian businesses have a clear plan for deploying artificial intelligence. This lack of strategic planning and skilled staff has led to a significant drop in Australia's AI readiness score, from 46 to 35 out of 100 points.

The Gap Between Investment and Strategy

While 82% of Australian organizations plan to increase their AI spending, the disconnect between financial commitment and strategic implementation is stark. Dani Magnusson, ServiceNow’s emerging technology director, emphasized this dichotomy: “We’ve got 82% of organizations investing in AI but only a third of those organizations setting a clear vision and strategy for how it gets implemented across the organization.” This gap is not just a matter of missed opportunities but a potential roadblock to the broader adoption of AI in the Australian business ecosystem.

The Skills Shortage and Siloed Implementation

One of the primary factors contributing to the drop in AI readiness is the lack of skilled staff. Only 37% of business leaders reported having the right mix of skills and talent in their workforce to effectively implement AI. The siloed approach to AI implementation, where the technology is confined to specific departments, further exacerbates this issue. Magnusson highlighted the need for a more holistic approach: “Keeping the technology siloed in individual business departments is holding back progress.”

Key Challenges Include:

  • Skills Gap:** A shortage of skilled professionals to manage and integrate AI systems.
  • Siloed Implementation:** AI projects often remain isolated within specific departments, limiting their overall impact.
  • Strategic Vision:** A lack of clear, long-term plans for AI deployment across the organization.

Employee Concerns and the Future of Work

The survey also uncovered widespread employee concerns about job security. Six in ten Australian executives reported that workers have raised concerns about the impact of generative AI on their roles. The research predicts that by 2030, AI could automate 670,000 roles while creating 150,000 new technology jobs. This imbalance highlights the need for comprehensive retraining and upskilling programs.

Richard Fleming, head of Asia Pacific AI at Bain & Company, emphasized the importance of individual responsibility and organizational support: “It’s now our responsibility to start individually using AI and working out how do I use it in my everyday life, how do I use it at work to build skills and understanding.” This call to action underscores the need for a collaborative effort between employees and employers to navigate the AI-driven future of work.

The Role of Government and Policy

The federal government’s upcoming summit on boosting productivity and the Productivity Commission’s focus on AI highlight the growing recognition of the technology’s potential. However, the onus is on businesses to take proactive steps in planning and implementing AI. The government’s role should be to facilitate this transition through policies that support innovation, education, and workforce development.

Policy Recommendations Include:

  1. Incentivize Training Programs: Offer tax credits and grants for businesses that invest in AI training for their employees.
  2. Promote Research and Development: Fund research projects that explore the ethical and practical applications of AI in various industries.
  3. Encourage Collaboration: Facilitate partnerships between businesses, universities, and research institutions to develop cutting-edge AI solutions.

The Bottom Line

Australia’s AI readiness is at a critical juncture. While the potential benefits of AI are vast, they can only be realized through strategic planning, skilled workforce development, and a collaborative approach. Businesses must take the lead in setting clear AI visions and implementing comprehensive strategies. The government’s role is to support this transition with policies that foster innovation and prepare the workforce for the AI-driven future.

The time to act is now. By addressing the current gaps in AI readiness, Australian businesses can position themselves to reap the productivity gains and competitive advantages that AI promises.

Frequently Asked Questions

Why is a clear AI vision important for businesses?

A clear AI vision ensures that AI investments are aligned with the organization's goals, leading to more effective implementation and better ROI.

How can businesses address the skills gap in AI?

Businesses can address the skills gap by investing in training programs, hiring AI specialists, and partnering with educational institutions for upskilling initiatives.

What are the potential consequences of siloed AI implementation?

Siloed AI implementation can limit the technology's impact, hinder cross-departmental collaboration, and delay the realization of AI's full potential.

How can the government support AI readiness in businesses?

The government can support AI readiness by offering incentives for training, funding research, and promoting collaboration between businesses and educational institutions.

What role do employees play in AI adoption?

Employees play a crucial role in AI adoption by participating in training programs, experimenting with AI tools, and providing feedback to improve AI applications.