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If the AI Bubble Pops, It Won’t Be the End

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A report from MIT says that the overwhelming majority of generative artificial intelligence implementations are failing — 95 percent of them, in fact. That’s a lot of failure. For a series of technologies touted as the answer to every question ever asked, literally and figuratively, the incapacity of companies to effectively integrate AI into their work says a lot about the next stage of industrial mechanization, our economic system, and us. But what it doesn’t say, whatever one may hope, is that AI is doomed.

The trick here is that you’ve got to read beyond the headline. The MIT report didn’t conclude that AI doesn’t work, as flawed as it is, but rather that many integrations aren’t working, at least as of now. As Jowi Morales puts it for Tom’s Hardware, integrations are failing to produce returns “because generic AI tools, like ChatGPT, do not adapt to the workflows that have already been established in the corporate environment.”

The corporate response to these findings, or to similar ones, won’t be to abandon AI, but rather to force it even further upon workers and workplaces — reshaping established workflows, routines, and jobs themselves to fit the AI, rather than the other way around. Setbacks shouldn’t fool anyone about the direction of travel.

Over at Meta, for instance, Mark Zuckerberg is freezing hires in the AI division. Scale AI, in which the Facebook parent company has invested over $14 billion, is cutting 14 percent of its staff. The headlines are fueling talk of an AI slowdown or crash, of the bubble bursting. The pace and scale of AI investment in recent years has been accompanied by breathless talk of AI revolutions, of the imminent and irreversible shift to a new technological and industrial order. One is hard-pressed to click more than twice now while browsing the internet or opening an app or service without encountering some AI integration, from word processors to retail shop chat bots to social media and search engines and beyond. It all has the air of a Ponzi scheme on the brink of being exposed.

That scheme is already leading to tens of thousands of job losses, with more expected. The risks for workers are real. As companies go all-in on AI, even should they scale back a scooch, they remain committed to transforming work through automation — that is, to improving “efficiencies” and eroding both labor power and cost. AI is poised to kill millions of jobs around the world sooner than one might think. Yet its vaunted automation, efficiency, and autonomy rest on vast amounts of human labor — moderation, annotation, data labeling, troubleshooting, repair, and more. AI may render countless jobs redundant, but it also creates and transforms others. The catch is that many of these new jobs are miserable, and the overall shift drags down labor standards and pay.

Nonetheless, it won’t matter how much anyone insists that the AI emperor has no clothes; the hundreds of billions invested in AI have established, and will maintain, an internal hope, logic, and expectation that the series of technologies are and must be the future of knowledge, manufacturing, and service. Faced with AI’s limits and the attendant enshittification, as Cory Doctorow might put it, of so many aspects of life, one might expect technocrats and oligopolists — corporate and political alike — to pause, take stock, consult with the population at large, and adjust. But that’s unlikely. In short, the corporate world is “pot committed,” to borrow a poker term, to the AI revolution, such as it is.

Anti-AI optimists might see a bubble bursting or a revolution failing. But for those struggling over the future of labor and the democratization of AI, the smarter reading is that this is, at best, a strategic retreat or consolidation of AI integrations. This means preparing, strategizing, and responding accordingly. Meta itself framed its hiring freeze as “basic organizational planning: creating a solid structure for our new superintelligence efforts after bringing people on board and undertaking yearly budgeting and planning exercises.” As much as one might hate to admit it, the smart money right now — that is to say, the power — is on Meta and its competitors shaping the industrial space as they wish. This is especially true amid democratic backsliding in the United States and its deepening entanglement with the tech oligarchy.

To ask whether certain AI technologies will ever “work” is to ask the wrong question, or at least one of secondary, even tertiary, importance. There’s a global race to develop and deploy AI, a contest that at once encompasses a kind of geopolitical strategic jockeying that puts states at odds with one another, and a broader capitalist urge to transform technology and work in the interests of their class across state borders. The capital and political heft behind the AI movement is accordingly robust, with its devotees viewing efforts as strategic necessities rather than technological frivolities.

Setting aside that there’s a difference between types of AI, their deployments, and their integrations — some of which are already working — the core questions for labor, mass politics, and consumers are: To what ends will AI be deployed, to whose benefit, and under whose control? As things stand, there are plenty of reasons to believe the answer to each question is oligarchs and oligopolists under, perhaps, some nominal control of a technocratic ruling class that will act as, at best, a regulatory rubber stamp — and institutional investor or underwriter. And with the state itself backing the broader AI rollout, that is, as they say, the ball game.

The risk of buying into the idea that the AI bubble is bursting is that it risks lulling us into a false sense of comfort, into complacency. For those who want a technological – and political and economic – future marked by deep democratization and collective control, the starting point must be that AI, in one form or another, is here to stay. The task now is not to wait for collapse, but to organize for control.



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GAO Review Finds 94 Federal AI Adoption Requirements

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GAO Review Finds 94 Federal AI Adoption Requirements













































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South Korea Looks to Canadian Energy to Fuel its AI Ambitions

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Artificial intelligence (AI) and clean energy technologies have emerged as central policy pillars of the new Lee Jae Myung government in South Korea, as part of his administration’s strategy to revitalize the economy.

Recognizing that the country has lagged behind global leaders such as the U.S. and China, both of which have adopted robust industrial policies, Lee’s government plans to introduce a South Korean version of the Inflation Reduction Act, a massive government investment plan to promote key strategic sectors. Similar to the U.S. act, Lee’s initiative aims to provide large-scale subsidies and targeted government financing to accelerate growth in strategic sectors, with AI and clean energy at the forefront.

Within this broader policy shift, the nexus between AI and energy has gained prominence. The rapid scaling up of energy-intensive AI infrastructure has sent energy demand soaring. As a result, South Korea needs to ensure a sustainable and resilient power supply for the digital economy. South Korea is one of the countries leading efforts to integrate energy policy and AI strategy in a way that both promotes innovation and strengthens energy security.

The evolution of South Korea’s AI governance

South Korea laid a foundation for AI governance in its 2024 Framework Act on Artificial Intelligence, one of the world’s first comprehensive national AI laws. Enacted under Lee’s predecessor, Yoon Suk Yeol, the act was designed to foster innovation while ensuring transparency, safety, and public accountability.

Shortly after assuming the presidency in early June, Lee elevated AI to a central role in South Korea’s national growth agenda. His administration’s blueprint aims to position the country among the world’s top three AI powers. Adopting a ‘develop-first, regulate-later’ philosophy, the plan emphasizes ecosystem expansion, including C$97 billion (100 trillion South Korean won) in AI investments, the designation of data centres as critical infrastructure, and the rollout of an “AI Highway” to connect regional tech clusters. Simultaneously, the administration is continuing to build on the AI Framework Act, working to implement its provisions early in Lee’s five-year term to ensure legal stability and time to build public trust, particularly around issues such as data privacy and algorithmic bias.

A notable feature of this approach is integrating the country’s tech-sector leaders into policy roles. For example, the head of Naver’s AI Center was appointed presidential secretary for AI policy, and the president of LG AI Research now serves as minister of science and Information and Communications Technology. In addition, a centralized AI governance body within the presidential office now co-ordinates interministerial initiatives and accelerates regulatory reforms in close dialogue with the private sector. 

To ensure that the strategy is well resourced, the government has earmarked C$970 million (1 trillion won) in public investment for AI research and development (R&D), in addition to a C$330-billion (340 trillion won) investment in three ‘game-changing’ technologies: AI semiconductors, advanced biotechnology, and quantum technology. Additionally, a national AI computing centre, costing C$2 billion (2 trillion won), is expected to open by 2027. These developments reflect a national effort to accelerate AI innovation to give South Korea the upper hand in technologies that are indispensable within the global value chain. 

Key challenges in the AI–energy nexus

As South Korea pushes forward with its AI agenda, one of its most pressing challenges is building a sufficient and reliable energy supply. The explosive growth of AI infrastructure is substantially increasing demand on South Korea’s energy grid, with wide-ranging implications for both industrial competitiveness and climate goals.

The expansion of AI computing, especially through hyperscale data centres, is driving this steep growth in demand. A landmark 3 gigawatt data centre project in Jeollanam-do Province is expected to go online by 2028 to accommodate the compute intensity of next-generation AI applications. National electricity demand is projected to double by 2030 relative to 2022 levels, driven largely by data centres and semiconductor fabrication plants — two sectors at the heart of South Korea’s digital strategy.

Already, the country’s aging power grid is struggling to keep pace with this growth. Approximately 78 per cent of existing data centre power use is concentrated in the Seoul metropolitan area, straining the city’s local infrastructure. Although the government has pushed to relocate the data centre to other provinces through the Special Act on Distributed Energy (which came into effect in June 2024), to date, no such news of this relocation has been reported. Experts warn that without rapid modernization, grid bottlenecks could compromise supply stability and industrial growth. In response, the government enacted the Power Grid Act in February 2025 to expedite grid expansion, including provisions for enhanced compensation to communities affected by new transmission lines. The act also encourages public-private investment and regulatory reforms to streamline power purchase agreements and other procedures related to utilities.

To support its expanding AI infrastructure and meet AI-driven energy demands, South Korea is turning to liquefied natural gas (LNG) and nuclear power as its main sources of reliable electricity. Plans are underway to convert 28 aging coal-fired plants to run on LNG and to build two new nuclear reactors by 2038, supplementing the four already under construction. In contrast to former president Moon Jae-in’s (2017-22) nuclear phase-out policy, recent developments — including a speech by Lee during the recent election campaign and the appointment of Kim Jeong-gwan, president of Doosan Enerbility (a major national conglomerate deeply engaged in nuclear energy development), as minister of trade, industry and energy — suggest that the current administration recognizes the challenges of relying solely on renewables and the necessity of re-introducing nuclear energy. These signals indicate a pragmatic approach to building a renewables-centred energy system while maintaining energy security.

In the same vein, Seoul also sees small modular reactors (SMRs) as a promising long-term solution for powering AI infrastructure and carbon neutrality. The first 0.7-gigawatt SMR is expected to be deployed by 2036. Meanwhile, Korea Hydro & Nuclear Power (KHNP), one of the Korea Electric Power Corporation’s subsidiaries operating nuclear and hydroelectric plants, is advancing its innovative SMR design, aiming to finalize the standard design by the end of 2025. SMRs are increasingly favoured as a go-to solution to meet soaring AI-driven energy demand, not just in South Korea but elsewhere. For example, large tech companies such as Amazon and Google have pledged to increase their nuclear-power capacity by 2050, paying particular attention to SMRs for their potential to provide localized, carbon-free power generation for data centre clusters and industrial complexes. 

Canada–South Korea co-operation: a strategic convergence

No country can achieve the dual goals of securing sustainable energy and fuelling the AI boom on its own. As South Korea bolsters its AI-energy strategy, cross-border collaboration will become indispensable. Canada has emerged as a key partner in this space.

Stable access to critical minerals and nuclear fuel is essential to South Korea’s energy security and growing AI infrastructure. In 2024, 48 per cent of the country’s enriched uranium imports (by value) came from Russia. However, amid heightened geopolitical risk, South Korea is shifting to more secure suppliers. Canada, the world’s second-largest supplier, with an 18 per cent global share in 2024, is expected to play an increasingly vital role. This diversification strategy not only reduces South Korea’s dependence on Russia but also boosts the long-term sustainability of its nuclear power fleet.

Nuclear technology and fuel have long been central to Canada–South Korea technology co-operation. Canada’s CANDU heavy-water reactors form a key part of South Korea’s nuclear infrastructure, with four CANDU reactors currently in operation at Wolsong. The bilateral nuclear co-operation has been well exemplified in the recent memoranda. In 2023, the Korea Atomic Energy Research Institute (KAERI) signed a memorandum of understanding (MOU) with Alberta’s provincial government to explore deploying the South Korea-designed SMART SMRs in Alberta, targeting applications such as oil sand steam generation. In the same year, KAERI and Canada’s Atomic Energy of Canada Limited signed a nuclear R&D MOU focusing on placing South Korean SMR designs into global markets, with an emphasis on collaboration with Canada. In May 2024, KHNP, Canada’s SMR developer, ARC Clean Technology, and New Brunswick Power signed trilateral agreement to co-develop and deploy the ARC-100 advanced SMR, including mass deployment plans, starting with a demonstration at Point Lepreau, New Brunswick.

Bilateral AI collaboration is also in the works. In June 2024the National Research Council of Canada and South Korea’s National Research Council of Science and Technology renewed their MOU, reaffirming joint R&D co-operation in AI and digital technologies. The agreement supports exchanges of researchers, joint innovation projects, and the development of collaborative infrastructure.

Finally, ethical AI governance — specifically South Korea’s AI Framework Act — can serve as a valuable reference point for Canada as it develops its own regulatory framework. Both countries emphasize transparency, safety, and accountability in AI, and their joint participation in forums such as the OECD and the Global Partnership on AI offers meaningful avenues for co-ordination. Collaborative efforts in this space would not only promote responsible innovation but also contribute to shaping global norms grounded in democratic values.

As South Korea accelerates its AI ambitions, the question of energy resilience has become inseparable from digital innovation. The AI-energy nexus is now a strategic domain where governance, infrastructure, and international partnerships converge. Canada, with its deep expertise in nuclear technology and growing AI ecosystem, is uniquely positioned to collaborate with South Korea in building a secure, ethical, and sustainable digital future.
 

• Edited by Jeehye Kim, Senior Program Manager, Northeast Asia, Vina Nadjibulla, Vice-President Research & Strategy, and Ted Fraser, Senior Editor, APF Canada 



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Cybercrook dupes Pune-based private varsity of Rs2.5cr with ‘govt research funding in drones & AI tech’ bait | Pune News

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Pune: The Pune Cyber Police are investigating a city-based private university’s complaint about being cheated of Rs 2.46 crore between July 25 and Aug 7 by a cybercriminal in the name of “govt-aided research funding opportunities in drones and AI technology” fields.The crook misused the name of a former vice-chancellor of Savitribai Phule Pune University (SPPU) to send a message on the smartphone to the private university’s chief education officer (CEO), stating that a person would call him to give details of a research funding opportunity. The message also contained the person’s name and number.The CEO called this number, and the man at the other end identified himself as an ‘IIT Mumbai professor’ and told him about a Department of Science and Technology (DST) and DRDO’s Rs28 crore drone project. The man told the CEO that the private university must transfer 2% of the amount, i.e., Rs 56 lakh, within three hours to get eligibility and funding for the project.The CEO then discussed the matter with the higher-ups and finance officers, and Rs56 lakh was first transferred on July 25. The crook called again on July 30 and Aug 7 and got the university to transfer Rs 46 lakh and Rs 1.44 crore for two other projects. He told the CEO that he would visit Pune on Aug 28 to sign an MoU with the private university. However, as the man did not turn up, the CEO then called the professor at IIT Mumbai, who said he was never part of any such research funding plan. The same day, the CEO lodged a complaint application. After verification of the complaint, the Cyber Police lodged an FIR on Sept 6.On Wednesday, the private university issued a statement to TOI which read: “Clear standard operating procedures and due diligence processes are maintained for all collaborations. This was a unique case of impersonation in which the documents and communication were made to look authentic. Once the fraud was detected by internal mechanisms, the transfers were stopped, and a cybercrime complaint was filed immediately.An official from the private university, who did not wish to be named, told TOI: “The man, who was talking to us regarding the research funding opportunity, sounded quite convincing with technical know-how. It never occurred to us that he was an impersonator.”A cyber police officer said: “After the first money transfer of Rs56 lakh, the impersonator contacted the CEO with a funding opportunity in an Artificial Intelligence (AI) technology project, claiming that govt has sanctioned Rs 23 crore for it and the private university needed to transfer Rs 46 lakh. The money was transferred. On Aug 7, the caller sold the idea of a new project in machine learning, claiming that govt has sanctioned Rs72 crore and to get the amount the private university must transfer Rs1.44 crore.He said: “After the caller’s assurance of visiting the private university for signing an MoU on Aug 28, the CEO tried calling him on Aug 26. But his number was not reachable. The CEO then gathered the professor’s contact number from IIT Mumbai and was shocked to know that someone else had used the latter’s name and number to dupe the university.”Investigations so far revealed that the money was transferred to a public sector bank’s account in Hyderabad. “We have sought the details of that bank account,” he said.





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