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AI in Leadership

AI in Leadership: What Australian Managers Need to Know

AI in Leadership: What Australian Managers Need to Know

Sunday, 25 May 2026

Key takeaways

  • Australian managers now have a legal obligation to know what AI tools their teams are using and what decisions those tools influence.
  • The gap between AI ambition and AI results in Australia is a leadership problem, not a technology problem.
  • Teams adopt AI when they trust their manager. Without psychological safety, they resist or sabotage it.
  • AI is creating more work for managers, not less, and the skills it demands are coaching, judgment, and governance.

If your team uses AI to help evaluate suppliers, screen candidates, score customer risk, or review contracts, your organisation will soon be required to disclose that use. New automated decision-making transparency rules take effect in December 2026, and they apply to any business that uses AI in decisions that could affect someone’s rights or interests. For most Australian managers, this is not on the radar yet. It should be.

Why is AI governance now a leadership responsibility?

AI in leadership is the capability of managers to govern, direct, and take accountability for how AI is used within their teams. It is no longer optional. If even Australia’s largest government agencies are struggling to get AI governance right, it is safe to assume that most organisations have not yet started the conversation.

The Australian National Audit Office audited the Australian Taxation Office’s AI governance in February 2025 and found arrangements that were only “partly effective.” Across government more broadly, of the 56 Commonwealth entities using AI in 2023-24, only 36 had governance policies and just 15 had assurance policies. Parliament’s Joint Committee of Public Accounts and Audit titled its inquiry report “Proceed with Caution.”

What happens without governance is already visible. In 2025, a Deloitte report for the Department of Employment and Workplace Relations was found to contain fabricated academic references generated by AI, and the government received a refund. A Victorian child protection worker entered sensitive case details into ChatGPT, prompting the state’s information commissioner to ban AI use across that service. These are not hypothetical risks. They are Australian incidents from the past twelve months.

Why are Australian organisations falling behind on AI?

The problem is not that Australian organisations lack access to AI tools. It is that most do not have managers who can set a strategy for AI use, define who is accountable, and lead their teams through the change.

Deloitte’s 2026 global survey of more than 3,000 leaders found that only 12% of Australian respondents said AI was transforming their business, nearly half the global average of 25%. The Reserve Bank of Australia’s November 2025 survey of more than 100 firms confirmed that most AI adoption remains “relatively piecemeal.” IT spending has grown by approximately 80% over the past decade, but KPMG’s 2026 survey found that 63% of business leaders still ranked AI as their number one challenge. Research published by MIT Sloan Management Review found that the overwhelming majority of data leaders identify cultural challenges, not technology, as the primary obstacle.

For professionals working in procurement, contract management, or risk oversight, this gap is particularly relevant. AI is already being applied to spend analysis, supplier evaluation, and contract review, but few organisations have defined who is accountable for those AI-assisted decisions. Developing capability in strategic risk management and contract management essentials provides a structured foundation for the governance thinking that AI adoption now demands.

Does your team trust you enough to adopt AI?

The single biggest factor in whether a team adopts AI effectively is not the technology. It is whether team members trust their manager enough to experiment honestly, report problems, and push back when the AI gets something wrong.

A BCG survey cited in Harvard Business Review found that 76% of executives believed their employees were enthusiastic about AI. The real figure was 31%. Employees with empathetic managers were nearly five times more likely to innovate. In Australia, the 2025 Edelman Trust Barometer recorded a national trust score of 49, below the global average of 56. PwC’s Australian workforce research concluded that “AI does not diminish the need for leadership; it amplifies it, because workers’ willingness to experiment with new tools depends heavily on the trust they place in their managers.”

Managers who co-create their team’s AI approach and actively ask what people are already using and what worries them, are the ones getting better results. That capability is built through practice in communication, coaching, and leading through change. AcademyGlobal (AG)’s procurement and contract management programmes integrate these interpersonal and governance skills into structured professional development.

What does AI mean for the future of management roles?

AI is not replacing managers. It is making management more complex. The value of a manager in an AI-enabled team is not in performing tasks the AI can handle. It is in knowing when to trust the output, when to override it, and how to coach a team through the transition.

CSIRO analysed more than 4,000 Australian firms over three years and found that companies adopting AI posted 36% more job advertisements than non-adopters. Jobs and Skills Australia’s 2025 Generative AI Capacity Study confirmed that augmentation outweighs automation for most occupations. McKinsey’s March 2026 research argued that leadership development must be reoriented toward human-AI collaboration as a core managerial capability. Jobs and Skills Australia has argued that communication, critical thinking, and adaptability should not be dismissed as “soft skills” because they are central to productivity.

For professionals in procurement, public finance, or governance, this shift is already under way. AI tools are drafting contract clauses, assessing supplier risk, and forecasting demand. Building structured capability in applied procurement and contracting or negotiation essentials equips professionals with the judgment frameworks that AI increasingly depends upon.

The regulatory environment is tightening, the evidence on what drives successful AI adoption is clear, and the capability gap is documented. A practical starting point is to map the AI tools already in use across your team, identify which decisions they influence, and determine who is accountable. The technology is available to everyone. The leadership capability to use it well is what separates the organisations making progress from the ones still waiting.