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If AI takes most of our jobs, money as we know it will be over. What then?

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It’s the defining technology of an era. But just how artificial intelligence (AI) will end up shaping our future remains a controversial question.

For techno-optimists, who see the technology improving our lives, it heralds a future of material abundance.

That outcome is far from guaranteed. But even if AI’s technical promise is realised – and with it, once intractable problems are solved – how will that abundance be used?

We can already see this tension on a smaller scale in Australia’s food economy. According to the Australian government, we collectively waste around 7.6 million tonnes of food a year. That’s about 312 kilograms per person.

At the same time, as many as one in eight Australians are food-insecure, mostly because they do not have enough money to pay for the food they need.

What does that say about our ability to fairly distribute the promised abundance from the AI revolution?

AI could break our economic model

As economist Lionel Robbins articulated when he was establishing the foundations of modern market economics, economics is the study of a relationship between ends (what we want) and scarce means (what we have) which have alternative uses.

Markets are understood to work by rationing scarce resources towards endless wants. Scarcity affects prices – what people are willing to pay for goods and services. And the need to pay for life’s necessities requires (most of) us to work to earn money and produce more goods and services.


This article is part of The Conversation’s series on jobs in the age of AI. Leading experts examine what AI means for workers at different career stages, how AI is reshaping our economy – and what you can do to prepare.


The promise of AI bringing abundance and solving complex medical, engineering and social problems sits uncomfortably against this market logic.

It is also directly connected to concerns that technology will make millions of workers redundant. And without paid work, how do people earn money or markets function?

Meeting our wants and needs

It is not only technology, though, that causes unemployment. A relatively unique feature of market economies is their ability to produce mass want, through unemployment or low wages, amid apparent plenty.

As economist John Maynard Keynes revealed, recessions and depressions can be the result of the market system itself, leaving many in poverty even as raw materials, factories and workers lay idle.

In Australia, our most recent experience of economic downturn wasn’t caused by a market failure. It stemmed from the public health crisis of the pandemic. Yet it still revealed a potential solution to the economic challenge of technology-fuelled abundance.

Changes to government benefits – to increase payments, remove activity tests and ease means-testing – radically reduced poverty and food insecurity, even as the productive capacity of the economy declined.

Similar policies were enacted globally, with cash payments introduced in more than 200 countries. This experience of the pandemic reinforced growing calls to combine technological advances with a “universal basic income”.

This is a research focus of the Australian Basic Income Lab, a collaboration between Macquarie University, the University of Sydney and the Australian National University.

If everyone had a guaranteed income high enough to cover necessities, then market economies might be able to manage the transition, and the promises of technology might be broadly shared.

An array of fruit and vegetables, including oranges, apples, onions, potatoes

If Australia already has an abundance of food, why are some people going hungry?
Jools Magools/Pexels

Welfare, or rightful share?

When we talk about universal basic income, we have to be clear about what we mean. Some versions of the idea would still leave huge wealth inequalities.

My Australian Basic Income Lab colleague, Elise Klein, along with Stanford Professor James Ferguson, have called instead for a universal basic income designed not as welfare, but as a “rightful share”.

They argue the wealth created through technological advances and social cooperation is the collective work of humanity and should be enjoyed equally by all, as a basic human right. Just as we think of a country’s natural resources as the collective property of its people.

These debates over universal basic income are much older than the current questions raised by AI. A similar upsurge of interest in the concept occurred in early 20th-century Britain, when industrialisation and automation boosted growth without abolishing poverty, instead threatening jobs.

Even earlier, Luddites sought to smash new machines used to drive down wages. Market competition might produce incentives to innovate, but it also spreads the risks and rewards of technological change very unevenly.

Universal basic services

Rather than resisting AI, another solution is to change the social and economic system that distributes its gains. UK author Aaron Bastani offers a radical vision of “fully automated luxury communism”.

He welcomes technological advances, believing this should allow more leisure alongside rising living standards. It is a radical version of the more modest ambitions outlined by the Labor government’s new favourite book – Abundance.

Bastani’s preferred solution is not a universal basic income. Rather, he favours universal basic services.

Woman in a headscarf standing by a moving train

Under a universal basic services model, services like public transport would be made available for free.
Ersin Basturk/Pexels

Instead of giving people money to buy what they need, why not provide necessities directly – as free health, care, transport, education, energy and so on?

Of course, this would mean changing how AI and other technologies are applied – effectively socialising their use to ensure they meet collective needs.

No guarantee of utopia

Proposals for universal basic income or services highlight that, even on optimistic readings, by itself AI is unlikely to bring about utopia.

Instead, as Peter Frase outlines, the combination of technological advance and ecological collapse can create very different futures, not only in how much we collectively can produce, but in how we politically determine who gets what and on what terms.

The enormous power of tech companies run by billionaires may suggest something closer to what former Greek finance minister Yanis Varoufakis calls “technofeudalism”, where control of technology and online platforms replaces markets and democracy with a new authoritarianism.

Waiting for a technological “nirvana” misses the real possibilities of today. We already have enough food for everyone. We already know how to end poverty. We don’t need AI to tell us.



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Researchers make AI-powered tool to detect plant diseases

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A team of researchers at Maharshi Dayanand University (MDU), Rohtak, has developed an artificial intelligence (AI)-based tool capable of detecting diseases and nutrient deficiencies in bitter gourd leaves, potentially transforming the way farmers monitor crop health.

The study, recently published in the peer-reviewed journal ‘Current Plant Biology’ (Elsevier), highlights how AI-driven innovations can play a crucial role in real-time crop monitoring and precision farming.

The newly developed web-based application, named ‘AgriCure’, is powered by a layered augmentation-enhanced deep learning model. It allows farmers to diagnose crop health by simply uploading or capturing a photograph of a leaf using a smartphone.

“Unlike traditional methods, which are time-consuming and often require expert intervention, AgriCure instantly analyses the image to determine whether the plant is suffering from a disease or nutrient deficiency, and then offers corrective suggestions,” explained the researchers.

The collaborative research project was led by Dr Kamaldeep Joshi, Dr Rainu Nandal and Dr Yogesh Kumar, along with students Sumit Kumar and Varun Kumar from MDU’s University Institute of Engineering and Technology (UIET). It also involved Prof Narendra Tuteja from the International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi and Prof Ritu Gill and Prof Sarvajeet Singh Gill from MDU’s Centre for Biotechnology.

MDU Vice-Chancellor, Prof Rajbir Singh, congratulated the research team on their achievement.

According to the researchers, AgriCure can detect major diseases such as downy mildew, leaf spot, and jassid infestation, as well as key nutrient deficiencies like nitrogen, potassium and magnesium.

“This represents a step towards sustainable agriculture, where AI empowers farmers with real-time decision-making tools,” said corresponding authors Prof Ritu Gill and Prof Sarvajeet Singh Gill. They added that the web-based platform can be integrated with mobile devices for direct use in the field.

The team believes that the technology’s core framework can be extended to other crops such as cereals, legumes, and fruits, creating opportunities for wider applications across Indian agriculture.

Looking ahead, they plan to integrate AgriCure with drones and Internet of Things (IoT) devices for large-scale monitoring, and to develop lighter versions of the model for full offline use on mobile phones.





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Competition to introduce artificial intelligence (AI) is fierce not only in industrial areas but als..

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Competition to introduce AI to the diplomatic front lines of major countries The U.S. actively utilizes the State Department’s exclusive “State Chat” to brainstorm foreign policy. Canada uses it to analyze major countries’ policies

[Photo = Yonhap News]

Competition to introduce artificial intelligence (AI) is fierce not only in industrial areas but also in diplomacy, which is the front line of competition between countries. The U.S. State Department is increasing the work efficiency of diplomats through its own AI. Japan spends more than 600 billion won a year to detect false information. The move is aimed at preventing the possibility that fake information will be misused to establish national diplomatic strategies.

In the United States, the State Department has been operating its own AI ‘State Chat’ since last year. It is an interactive AI in the form of ‘Chat GPT’, similar to the method promoted by the Korean Ministry of Foreign Affairs. It provides functions such as summarizing internal business documents and professional analysis. E-mails used by diplomats are also drafted according to the format and even have the function of helping “brainstorming” in relation to foreign policy or strategy.

StateChat is dramatically reducing the amount of time State Department employees spend on mechanical tasks. According to State Department estimates, the total amount of time saved by all employees through their own AI amounts to 20,000 to 30,000 hours per week.

The State Department plans to continue expanding the use of StateChat. State Chat is also used for job training. This is due to the advantage of minimizing information that may be omitted during the handover process and enabling in-depth learning by providing data containing stories. State Chat will also be used to manage manpower. Information related to personnel management is also entered in State Chat.

[Photo = Yonhap News]
[Photo = Yonhap News]

Japan has been building a situation analysis system using AI since 2022. AI finally judges the situation by combining reports from local diplomats with external information such as foreign social network service (SNS) posts, reports from research institutes, and media reports. For example, if social media analysis detects residents’ disturbance in a specific area, AI warns of the risk of terrorism or riots.

From 2023, it is using AI to detect fake news that is mainly spread through SNS. It analyzes not only text but also various media types of content such as images, audio, and video. It is a method of measuring the consistency of information based on a large language model (LLM) and then determining whether it is false. In particular, Japan calculates and presents the social impact, such as the scale and influence of the fake news.

Japan believes that numerous fake news after the Fukushima nuclear power plant accident has undermined national trust and caused unnecessary diplomatic friction. Japan allocated about 66.2 billion yen (626.5 billion won) in the fiscal 2025 budget to the policy and technology sectors to respond to false information.

Canada introduced a ‘briefing note’ using Generative AI in 2022. A draft policy briefing document is created by analyzing and reviewing policy-related data of major countries. Finland operates a system that collects diplomatic documents through AI and summarizes them on its own, and even visualization functions are provided. The UK has introduced AI to consular services. Classify the services frequently requested by their citizens staying abroad to overseas missions and provide optimal answers.

Last year, France developed an AI tool that summarizes and analyzes diplomatic documents and external data and is using it to detect ‘reverse information (fake news or false information)’ overseas and to identify public opinion trends. The United Arab Emirates (UAE) has introduced an unmanned overseas mission model that provides consular services based on AI.



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How artificial intelligence is transforming hospitals

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Story highlights

AI is changing healthcare. From faster X-ray reports to early warnings for sepsis, new tools are helping doctors diagnose quicker and more accurately. What the future holds for ethical and safe use of AI in hospitals is worth watching. Know more below.



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