Why is there a growing divide between Australia's defence and foreign aid?
Photo:
Australian High Commission in PNG
There are concerns in Australia that as more emphasis in paced on defence spending, foreign aid will suffer.
This comes amid the growing geopolitical tensions in the region, with the United States calling on its allies to spend more on their militaries.
Australia is already one of the
least generous aid donors among the Organisation for Economic Cooperation and Development (OECD) countries
, contributing just 0.18 percent of its Gross National Income (GNI) as foreign aid, with that figure set to continue falling in real terms.
A researcher with the Australian National University's Development Policy Centre, Cameron Hill, has been examining the comparison with defence spending.
He spoke with RNZ Pacific.
(The transcript has been edited for brevity and clarity.)
Cameron Hill:
We started tracking this about five years ago in 2020, and my colleague Stephen Howes looked at the aid and defence spend data going back to the early 1960s was the height of the Cold War, and we were engaged during that decade in the Vietnam War. During that period, the relativity between our spending on defence and foreign aid over the decades of the Cold War averaged around seven-to-one.
Then, from about 2015, we noticed that this ratio really started to widen to an unprecedented level. So, it seems as though that the priority that we have given to foreign aid in this era of geopolitical competition is a lot less than the priority we gave to foreign aid during that last big era of geopolitical competition, which was the Cold War.
The ratio currently is about 12-to-one on existing budget commitments, and forecasts it will widen further to about 13 to one by the end of this decade. Then, as some have called for, we increase defence spending to 2.5 percent of GDP by the end of the decade, that that ratio will be 16-to-one.
And if, as some in the US have hinted that they would like Australia to spend 3 percent of GDP on defence, it would widen to 19-to-one - almost three times. It is Cold War average.
Don Wiseman: And what's the impact?
CH:
The impact is that we are prioritising our elements of hard power, much more than our, what some people would call, our soft power. But when we look at Australia's region - most of the countries around us are developing countries and they are certainly worried about geopolitical competition - we are also predominantly worried domestically about their development prospects, growth and human development. For many of them, the potential impacts of climate change.
So looking at these figures, a lot of foreign policy commentators in Australia like to talk about integrated statecraft, combining development, diplomacy, [and] defence to ensure Australia can compete effectively. The problem here is that we are really undervaluing a critical element of that statecraft, when you look at these relativities.
DW: Australia's had some issues with its Pacific neighbors going back the last 10 or 15 years, and this could exacerbate that.
CH:
I think Pacific states rightly want Australia and New Zealand to be doing more on climate change, and much of that funding has to come from our development assistance budget, our climate finance. But with that budget remaining flat, our ability to respond to those calls from the Pacific is compromised.
Pacific states again are worried about geopolitical competition and some aspects of that. But I think, increasingly, they will see or be concerned that Australia is under prioritising that element of its foreign policy relative to these hard power priorities.
I think this is important also in the context of big cuts to aid, and including climate aid from the US, as well as cuts to aid from other donors. So that will just increase the pressure on very scarce climate finance, which is a key priority for Pacific states.
Australia committed more than US$20.6 billion in aid to Pacific Island nations between 2008 and 2022.
Photo:
Lowy Institute Pacific Aid Map
DW:
And an area that the region expects Australia to step up in.
CH:
Absolutely. I am not an expert on defence spending, but this gap in the relativities is quite stark. It just begs the question, what are the constraints to Australia doing more on development and climate internationally?
You could say perhaps that the foreign policy elite in Australia have just decided that aid is not very useful when it comes to geopolitical competition, and perhaps that is right. But I do think aid, including climate finance, can help meet other important policy objectives.
We can see that climate needs, humanitarian needs, are just increasing, and a big part of Australia's foreign policy should be showing up to help tackle those global problems. The domestic politics of aid have also been difficult in Australia, you could argue. But there is a danger that we pre-empt the difficulties domestically of increasing aid, and that cautious consensus - that some have talked about when it comes to aid spending in Australia - has turned into a pernicious paralysis whereby politicians are just too afraid to defend aid and to talk about why aid might need to be increased over time.
Also, it may be that the cost of defence is just very expensive now. But again, I would argue that aid has also become more expensive, including in the Pacific, where climate impacts do drive up the cost of aid.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Scoop
an hour ago
- Scoop
Decision Inc. Australia Helps Accelerate GenAI MVP Delivery For OFS, Enabling Real-Time Manufacturing Intelligence
OFS (Operations Feedback Systems) is an Australian-headquartered software company that is helping manufactures in over 30 counties to produce more with less. Since 2006, its analytics platform has helped operators, supervisors, and senior leaders in manufacturing gain clear, real-time visibility into performance, enabling faster decisions and stronger outcomes on the production floor. With a customer base including Dulux, Asahi Beverages, Bega, nudie, AstraZeneca, Twinings, and Electrolux, OFS wanted to stay ahead of rising expectations around artificial intelligence by embedding generative AI directly into its product suite. To accelerate development and go to market faster, OFS engaged Decision Inc. Australia to help guide and define a Minimum Viable Product (MVP) for its new GenAI feature, now known as Mayvn AI. The Challenge As manufacturers increasingly look to their software partners for AI capabilities, OFS recognised the need to rapidly build a GenAI experience that delivered practical, real-world value. While OFS already had an in-house engineering team, it turned to Decision Inc. for support in validating the concept, developing a secure architecture, and accelerating its roadmap to MVP. 'Manufacturers are under enormous pressure to do more with less, and they're asking smart questions about how AI can help,' said James Magee, CEO of OFS. 'Our goal was to build something meaningful, not gimmicky. We didn't want AI just for the sake of AI, we wanted it to solve real problems.' OFS needed a solution that would securely integrate with its existing architecture, scale into production, and provide early confidence that the AI feature could meet the performance and privacy standards its customers expect. At the same time, the OFS team wanted to build internal knowledge and capability as part of the process. The Solution With Decision Inc. Australia's support, OFS accelerated the development of Mayvn AI, a GenAI-powered operational intelligence tool designed to deliver actionable insights directly to factory leaders, engineers, and operators. The goal was to bridge the gap between factory data and leadership decision-making, turning real-time production feedback into meaningful conversations and faster resolutions. Decision Inc.'s AI Advisory services helped OFS quickly define a scalable MVP architecture that would sit securely within their existing software ecosystem. From architecture design to proof-of-concept prototyping, Decision Inc. played a hands-on role in helping OFS validate the feasibility of GenAI integration while upskilling their internal engineering team to take the solution to production. Mayvn AI functions as an intelligent co-pilot for manufacturing leadership, surfacing real-time insights from complex production data using simple prompts. By leveraging large language models (LLMs), Mayvn AI can instantly summarise plant performance, flag inefficiencies, identify recurring issues, and even recommend areas for capital investment based on real-world downtime or waste patterns. It is designed to operate securely, respecting data privacy boundaries across client environments. From generating daily shift reports to uncovering root causes of line stoppages and packaging faults, Mayvn AI is enabling factory teams to spend less time pulling data and more time acting on it. A notable early use case allows a CEO or site leader to ask, 'What should I know before walking into this site today?' and receive a concise, personalised briefing within seconds. 'Decision Inc. brought the technical clarity and early-stage confidence we needed to move quickly,' said Magee. 'They helped us de-risk the process and ensure we were building something scalable, secure, and aligned with the needs of our customers.' The Outcome Mayvn AI was launched in February 2025 and is already being used by more than 200 manufacturers worldwide. The feature acts as an embedded GenAI assistant within the OFS platform, enabling business leaders to simply ask questions, like 'What's been impacting our line efficiency this week?' or 'Where should we invest at this site?' and receive real-time, production-specific answers. By transforming unstructured manufacturing data into actionable insights, Mayvn AI bridges the gap between leadership and the factory floor. It's helping users surface previously hidden trends, reduce prep time for shift reports, and justify capital investments with data-backed recommendations. 'What we're seeing now is our clients using AI not just to analyse data, but to tell stories with it, to understand what's happening in their business and act with confidence,' said Magee. 'That's where Mayvn AI is making the biggest impact.' 'Mayvn AI is a perfect example of how GenAI can be deployed responsibly and pragmatically,' said Tony Butler, Managing Director, Decision Inc. Australia. 'By starting with a real problem and focusing on the user experience, they've built something powerful and future-ready. We were proud to play a role in accelerating that journey.' # # # About Decision Inc. Australia Decision Inc. is a global Advisory led Technology Consulting company helping clients in 20 markets use technology and data to improve their performance and drive sustainable growth. We help the world's most significant businesses transform their operating model and use technology to create a new future. Our Advisory teams help our clients develop the Strategies and Business Cases to support their continued investment in Innovation and Operational Improvement, and our specialist consulting and engineering teams build and manage the core platforms that run their business. As seen in The Australian Financial Review, The Weekend Australian and The Canberra Times we serve our community and industry and believe great data and analytics expertise will underpin economic recovery and prosperity. We are proudly carbon neutral and Great Place to Work certified.


Techday NZ
an hour ago
- Techday NZ
AI, loyalty and ANZ grocery retailers: What's new
How grocery retailers can drive profits, increase engagement and consolidate customers in 2025/2026 In recent times, the Australian and New Zealand grocery marketplace has faced its fair share of ups and downs, challenges and opportunities. In this region we've seen supply chain interruptions, shortages, increasing costs, consumer price sensitivities and regulatory scrutiny against the backdrop of global market uncertainty and rapid advancements in digital technologies, particularly concerning AI and automation. As discussed in Eagle Eye's latest grocers' ebook, Loyalty Lessons That Will Shape 2025, there are now a number of exemplary grocery loyalty programs that have set themselves apart from others. These programs master the fundamentals of loyalty with forward-thinking approaches and advanced, purposebuilt technology, along with the latest AI innovations. Personalisation and AI delivering striking results Personalisation has been an enduring goal for grocers, and for good reason. It's a path to delighting customers, encouraging engagement, and driving financial performance. Personalisation also allows grocers to allocate their marketing and promotional spending more efficiently, only presenting discounts on certain items to those customers most likely to be motivated by that discount. This kind of targeting represents a level of precision that mass marketing can't achieve. Grocery retailers have a unique advantage here, given the vast amount of data generated by the extensive volume of SKUs in their inventory and the frequency of customer visits. And if they have a loyalty program, they have all the data they need to tailor offers to customers at the individual level. Boston Consulting Group (BCG) estimates that personalisation leaders will experience US$570 billion in global growth by 2030. However, the impact of personalisation is not limited to projections; several well-recognised grocers are seeing significant financial returns from advanced personalisation strategies. UK supermarket chain Tesco delivers personalised customer experiences through its massively popular Clubcard program. Tesco's latest trading statement reports that there are more than 23 million Clubcard households in the UK and that Clubcard sales penetration was 82% in the UK and 87% in Central Europe. There are also 16.3 million Tesco app users, with visits to the app increasing year-over-year. This volume of digitally connected customers allowed Tesco to launch a high performing, high-engagement personalisation initiative driven by gamification: Clubcard Challenges. This program offers customer personalised, goal-oriented challenges over six week campaigns, with points rewards offered for completing challenges like spending £20 on certain line or range of products over the period. Clubcard Challenges uses AI to create bespoke thresholds for each participant, drawn from insights into that customer's past purchase history and preferences, which are then analysed and processed by predictive AI algorithms. The campaign's performance results are striking. During the final, Christmas-themed Challenges campaign of 2024, 10 million customers received their own personalised set of Clubcard Challenges. Of all customers who visited the Clubcard Challenges site or pages, 76% converted into players. Sixty-two percent of all players reached the first reward threshold, becoming winners. Those winners collected over half a billion extra Clubcard points over the campaign period. During 2024, Tesco's H1 24/25 overall adjusted operating profit increased 15.6% over 2023 to £1.649 billion. ANZ grocery retailers needs to adapt, innovate and embrace AI The ANZ grocery sector's tight competition and changing conditions require retailers to constantly adapt their approach. What worked last year may not succeed today. Companies must take learnings from recent challenges in supply chains, stock management, pricing structures, customer price sensitivity and regulatory oversight to navigate 2025 effectively. While modern, AI-driven personalisation, gamification and omnichannel engagement are transforming grocery loyalty globally, these approaches represent somewhat untapped opportunities in the Australian and New Zealand markets. While the true-personalisation sector is still young, ANZ retailers that implement such strategies could create a compelling advantage. In addition to reflecting on the ebb and flow of challenges and opportunities that retailers have already experienced over the past several years, the key messages grocery retailers need to pay attention to concern the profitability of personalisation when backed with robust data and smart execution. The execution of loyalty in modern ANZ retail combines data, personalisation and strategy in increasingly sophisticated ways. Grocery brands with a solid grasp on these elements can widen the gap between themselves and competitors who haven't evolved their approach. The best grocery loyalty programs today understand that personalisation is now an engine of bottom-line results. They know that gamification as an end to itself has diminishing returns, but when executed with a purpose, it can be an incredibly valuable and ROI-delivering tool. The top players also recognise that the impact of any omnichannel loyalty initiative is directly proportionate to the volume of customers that participate in its digital channels. More eyeballs equals more engagement, bigger baskets and bigger media opportunity. Australian and New Zealand grocery brands that apply these lessons across 2025/2026 could make a real difference. Success, as ever, will rest on focusing on programs that customers find valuable, practical, engaging and effective. Read more insights in Eagle Eye's latest grocers' ebook, Loyalty Lessons That Will Shape 2025.


Techday NZ
an hour ago
- Techday NZ
AWS invites global startups to apply for AI accelerator with USD $1 million credits
AWS has opened applications for the third cohort of its global Generative AI Accelerator programme, which aims to support early-stage startups building foundational generative AI technologies. Programme details The eight-week accelerator is designed to provide up to 40 selected startups worldwide—ten of which will be from the Asia-Pacific and Japan region—with up to USD $1 million in AWS credits, technical guidance and mentorship, go-to-market support, and access to AWS's generative AI technology stack. The focus for 2025 is on startups working on core generative AI technology, including model building, infrastructure, fine-tuning tools, and agentic workflows. AWS is seeking to support companies developing foundational elements that will underpin the next stage of AI advancements. Companies participating in the accelerator should have a functioning Minimum Viable Product (MVP), some customer traction, and a strong technical team; prior experience with AWS is not required. Participants will benefit from a hybrid programme, comprising virtual sessions and an in-person launch at AWS's headquarters in Seattle. The programme concludes with a showcase at the end of the eight weeks. Support for global inclusion The 2025 cohort will be selected from across North America, Asia Pacific and Japan, Europe, Middle East and Africa, and Latin America. Startups building large language models, infrastructure tools, fine-tuning platforms, or foundational agents are especially encouraged to apply. AWS will also provide industry-specific mentoring, as well as support for companies operating at the infrastructure and application layers. In the words of Jon Jones, Vice President and Global Head of Startups at AWS: "We are now at a stage where virtually all startups will be applying generative AI to their business in one shape or form. That's why for this year's accelerator, we are honing our focus to support those startups developing the foundational technologies that will define what's possible with AI. This year's program is part of our continued commitment to accelerate generative AI innovation around the world by providing ground-breaking startups with the credits, mentorship, and visibility they need to scale with confidence." Impact from previous cohorts Since its launch, AWS reports over 100 startups have participated in the Generative AI Accelerator, reaching important milestones and contributing to industry transformation. Australian startup which developed a set of generative AI tools for creators, reduced video and image production times significantly and reached more than seven million users. This growth led to its acquisition by Canva in July 2024. Last year, four Australian startups—Contact Harald, Marqo, Relevance AI, and Splash Music—were selected for the programme. Their experiences underscore the value participants derive not only from technical enablement but also increased exposure and commercial support. Sharing insights into the programme's influence, Tiffany Bloomquist, Head of Startups, Asia-Pacific & Japan, AWS, commented: "Startups are at the forefront of generative AI innovation, and we're proud to support the bold founders who are redefining what's possible with AI. The third cohort of the AWS Generative AI Accelerator reflects our continued commitment to helping these builders scale generative AI innovation and bring real-world impact across industries. This program is more than just a launchpad for startups – it's also a powerful learning opportunity for us. These entrepreneurs keep us close to the pulse of innovation and inspire new ways we can harness the cloud and AI as a force for positive global change." Participant experiences Simon Kohl, Chief Executive Officer and founder of Latent Labs, which joined the 2024 cohort, said: "At Latent Labs, we are building AI foundation models to make biology programmable and accelerate and improve drug discovery. The AWS Generative AI Accelerator offered us a unique blend of technical depth and commercial reach, which was instrumental in accelerating both our platform capabilities and our market adoption. AWS moves quickly to adapt to the fast-evolving generative AI landscape, not just with infrastructure and tooling, but with programs designed to help generative AI startups scale. As a founder, you gain access to an ecosystem that understands both the demands of building cutting-edge AI systems and the importance of aligning those systems with real-world customer needs." Tracy Chan, Chief Executive Officer at Splash Music, shared the impact on their business: "At Splash Music, we're reimagining how music is created and discovered, transforming it from a background activity into the interactive, expressive experience Gen Z consumers connect with. The AWS accelerator was a game-changer for us. It gave us early access to cutting-edge AWS tools like SageMaker HyperPod and Trainium, plus hands-on support to migrate our models from a previous provider, significantly accelerating our research velocity and model performance. Beyond the tech, AWS's support with go-to-market strategy, public exposure, and hiring world-class talent helped us hit milestones faster than planned. For any startup building, GAIA is a no-brainer." Continued commitment The 2025 AWS Generative AI Accelerator is intended to maintain the momentum of the previous cohorts, supporting startups developing core generative AI technologies and fostering a diverse international community of founders and technical teams.