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Treasurer Jim Chalmers plays down leaked advice to raise taxes and cut spending

Treasurer Jim Chalmers plays down leaked advice to raise taxes and cut spending

SBS Australia6 hours ago
Treasurer Jim Chalmers plays down leaked advice to raise taxes and cut spending
Published 14 July 2025, 9:10 am
Leaked documents show Treasury advised the government to raise taxes and cut spending after the election. It's prompted concerns the sustainability of the budget, and that an ambitious plan to build 1.2 million homes in five years could fail.
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AI elephant in the boardroom: future workforce is here
AI elephant in the boardroom: future workforce is here

The Australian

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AI elephant in the boardroom: future workforce is here

There's an elephant in the boardroom. It's not politely waiting for your digital transformation strategy. It's already reshaping how work gets done, who does it, and what 'a job' even means. That elephant is artificial intelligence. While most leaders are fixated on generative tools and productivity boosts, few are confronting the deeper workforce transformation under way. AI is not just a technology shift. It's a workforce reckoning and for many leadership teams, it's still sitting in the too-hard basket. But the future has already arrived. The apprentice model is breaking Our traditional model of career development — learning by doing, gradually gaining experience and judgment — is under threat. Junior roles are often the first to be automated. In law, AI now summarises case law and drafts contracts, work previously done by graduates. In accounting and consulting, it automates reconciliations, analysis, and reporting. If AI does the 'doing,' how do emerging professionals learn? We continue to prepare workers for roles that may soon be obsolete, while under-investing in the capabilities humans will need most in an AI-enabled world: judgment, adaptability, ethical reasoning, creativity and critical thinking. These skills are essential to critique, shape and responsibly integrate AI into our world. Dr Kellie Nuttall is AI Institute Leader at Deloitte Australia Without redesign, we risk a generation of leaders who've never developed the judgment to lead. Doctors, for example, may become passive interpreters of AI diagnostics, unable to navigate the complex decisions patient care demands. This shift isn't limited to medicine or law. Even some of the world's leading AI companies are hiring fewer traditional tech grads. Why? Because the skillset that matters most in an agentic AI world isn't just code — it's systems thinking, strategic reasoning, and the ability to work across disciplines. It's many AIs per role — not one per person A single AI agent may not replace a human job, but a team of agents working together can come close. For example, a marketing co-ordinator role could be handled by five AI agents managing copywriting, campaign scheduling, data reporting, customer segmentation, and workflow orchestration. In finance, AI agents could process sales end-to-end — validating transactions, recording them in accounts, reconciling data, monitoring compliance, and generating reports. We might start the journey with one human worker replaced by a digital one, but behind that 'one' will be an ecosystem of agents. Suddenly, the whole notion of traditional organisational structures needs to be rethought entirely. 'New jobs will emerge' is not a strategy We often hear that, like the Industrial Revolution, new roles will appear. That may be true. But what are they? Who will be qualified for them? How will people be trained to do them? And what's our plan to ensure they're accessible beyond the digitally elite? This isn't just a technology conversation — it's a leadership one. The companies gaining ground aren't just investing in tools. They're empowering business leaders to challenge long-held assumptions, redesign jobs, and reimagine how value is created. If you're serious about leading through this transformation, start by scenario planning for radically different futures, including one where digital labour represents potentially more than 30 per cent of your workforce. The best way to assess your level of preparedness is to ask what your plan is if your current organisational design no longer serves you or what leadership and team structure looks like when AI agents are your middle managers. You might also think about how you could protect and enhance human judgment in the areas where it matters most and how your revenue model will adapt in this new landscape. Once that's accomplished you should look to build a human capability roadmap. Shift your focus from training people to compete with AI to helping them augment it. Invest in creativity, emotional intelligence, complex decision-making, systems thinking – the skills machines can't replicate. Simultaneously, to keep up with the pace of change, you need to go beyond using AI in fragmented ways. Don't just pilot tech — prototype the future of work. Embed AI agents into real workflows. Learn where they shine, where they fail, and what it takes to scale. And don't forget to use AI personally so you truly understand what you're dealing with. Learning by doing is the only way to stay ahead. The AI elephant isn't looming in the distance. It's already sitting at the boardroom table, quietly rewriting your workforce strategy. The organisations that thrive next won't be the ones who talk about AI. They'll be the ones who act with urgency, clarity and imagination. Because if you're not actively reshaping your workforce for this new reality, you're not leading into the future. You're watching it unfold without you. Dr Kellie Nuttall is AI Institute Leader at Deloitte Australia. Stephen Gustafson is CFO Program Leader at Deloitte Australia. - Disclaimer This publication contains general information only and Deloitte is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services. This publication is not a substitute for such professional advice or services, nor should it be used as a basis for any decision or action that may affect your business. Before making any decision or taking any action that may affect your business, you should consult a qualified professional adviser. Deloitte shall not be responsible for any loss sustained by any person who relies on this publication. About Deloitte Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee ('DTTL'), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. Please see to learn more. Copyright © 2025 Deloitte Development LLC. All rights reserved. -

AI in the finance function: usage grows on the path to scale
AI in the finance function: usage grows on the path to scale

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AI in the finance function: usage grows on the path to scale

CFOs at Australian corporations are seeing a rapid pick-up in the use of AI at their organisations and in their finance functions but are still working towards implementing the technology at scale as they juggle competing priorities. According to Deloitte's most recent biannual CFO Sentiment Report – which featured responses from more than 60 large company CFOs – AI use in the finance function has more than doubled to 64 per cent since the end of 2024 , narrowing the gap between it and the broader organisational adoption rate, which sits at 83 per cent. It is a remarkable adoption rate considering AI really has only been commercially available for around two years – and this might explain the maturity of organisations' AI strategies. Three-quarters of respondent CFOs said their organisations' AI strategies are in either the 'early' or 'somewhat developed' stages. It goes without saying that having a top-down approach, where AI is coordinated in a strategic way across both the finance function and the whole business can lead to bigger benefits and profitability. Deloitte's most recent State of Generative AI in the Enterprise report found the organisations who invested big and fast in AI transformation ended up with increased efficiency and product capabilities, translating into pricing advantages and market growth. Those who took a bit longer to invest in Gen AI are now struggling to catch up. It can be hard to see AI investment through to implementation without those guiding top-down strategies both across the business and within the finance function. What's preventing these strategies from developing? At the moment, CFOs point to factors including competing priorities, investment costs, skills shortages and privacy concerns. Almost half of the CFOs surveyed described 'competing priorities' as the biggest barrier to AI adoption in their company specifically. This was followed by 'talent resources and capabilities' and 'sufficient depth of understanding of AI technology' at 34 and 31 per cent respectively. Stephen Gustafson is CFO Program Leader at Deloitte Australia Interestingly, all three of these top barriers to AI deployment slightly decreased in their relevance for CFOs over the last six months. Comparatively, 'privacy and security issues' grew by 13 percentage points over the same period, reflecting growing global concerns about data governance and rising cyber threats. The challenges CFOs face with implementing firm-wide AI strategies may be influencing the way they view risk. For example, 'technology implementation and digital disruption' jumped 12 percentage points in its perceived risk level for CFOs over the last six months, up to 48 per cent. CFOs' growing concerns around AI privacy and security could also suggest they increasingly recognise what's at stake: Deloitte's State of Generative AI in the Enterprise report highlights that organisations risk losing 20 to 56 per cent of their market cap following a negative trust-related event. Ironically, it also found that the erosion of trust in AI is leading to an increased demand for personal customer service and human interaction, which could be another factor to consider in the development of a mature AI strategy. Elsewhere, the global business landscape continues to be demanding, with compressed margins, weak profitability, and many businesses reluctant to pass on additional price increases to consumers already faced with cost-of-living pressures. In the face of this, cost control and operational efficiency are top of mind for CFOs, with 80 per cent saying it's a high priority for their organisation. However, the report also suggests CFOs may be taking a growth-enabling perspective on cost management. Rather than viewing cost-cutting as a short-term, defensive strategy, they are aligning cost initiatives with strategic goals to encourage longer-term growth and efficiency improvements. This has encouraged CFOs to make strategic choices about how to allocate limited resources for the greatest impact. It also implies they could be re-aligning their budgets to further invest in AI deployment or development. Clearly, business leaders are aware of the need to invest in transformation and technology to boost productivity, and AI is front of mind. But as it becomes more powerful and pervasive, there's growing pressure to deploy it responsibly, securely, and officially. The pace of AI adoption has been remarkable, but with the technology so far mostly contained to growing pockets of use, its full potential – in the finance function and beyond - remain to be seen. Once organisations overcome these barriers to scale (and they will) to execute deployment in accordance with a top-down strategy, the technology's productivity benefits will become truly visible. Stephen Gustafson is CFO Program Leader at Deloitte Australia. - Disclaimer This publication contains general information only and Deloitte is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services. This publication is not a substitute for such professional advice or services, nor should it be used as a basis for any decision or action that may affect your business. Before making any decision or taking any action that may affect your business, you should consult a qualified professional adviser. Deloitte shall not be responsible for any loss sustained by any person who relies on this publication. About Deloitte Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee ('DTTL'), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. Please see to learn more. Copyright © 2025 Deloitte Development LLC. All rights reserved. -

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