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The AI Market Surge The race is very much on. Elon Musk's SpaceX, which makes AI models as well as space rockets, announced last week it is seeking a $1.77tn (£1.31tn) valuation on the US stock market while Anthropic, the startup behind the Claude chatbot, said it had filed for an initial public offering. OpenAI, the developer of ChatGPT, is expected to follow. AI Has Sent Stocks Soaring The S&P; 500, which tracks the 500 biggest US companies, has been on a tear over the past five years – rising by nearly 80%. That jump has been driven by big tech stocks with a stake in the AI boom, the “magnificent seven” of Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla. Expenditure Is Growing at a Staggering Rate Spending on AI – from datacentres to chips – is racing ahead, from $765bn this year to $1.6tn in 2031, according to Goldman Sachs. The investment bank acknowledges there could be problems with this scale of commitment. What if the datacentres are delayed? Firms and Consumers Are Adopting AI at Pace Despite mixed reports on the benefits, the vast majority of companies are starting to use AI – up from 33% in 2023 to nearly 80% now, according to the consultancy group McKinsey. Usage among the general public is also high, with OpenAI's ChatGPT now reaching 1bn monthly active users, according to data from Sensor Tower – a record for any app. Claude Is Snapping at ChatGPT's Heels Anthropic began to gain ground on OpenAI late last year, when its Claude Code tool went viral among mostly San Francisco-area software developers, before spreading more widely. Claude Code represented a shift in how large language models – the core technology behind chatbots – are used, ushering in a transition towards autonomous AI agents that carry out tasks without human intervention, enabling even the non-tech-savvy to create software and do a wide range of tasks. AI Is Getting More Expensive to Use Every time an AI chatbot or agent issues a response, it is measured in “tokens” – building blocks of language that can be words, punctuation marks or syllables. The costs of these vary per model; OpenAI prices it at $5 a million input tokens for GPT-5.5, and $30 a million output tokens (ie the response given to your prompt). Datacentre Building Might Not Keep Pace with Demand Datacentre construction represents the central nervous system of AI products so growing development and use of AI tools must be matched by more capacity – otherwise there will be a compute crunch, which means rising costs for AI companies and users.

The Rise of Anti-Tech Extremism in the AI AgeWhen a 20-year-old man from Texas was arrested earlier this year for allegedly trying to burn down OpenAI's headquarters and Sam Altman's house, authorities found an anti-AI manifesto alongside his lighter and a jug of kerosene. This incident is part of a spate of attacks that has caused alarm among researchers, the tech industry and law enforcement about the rise of anti-tech extremism.In April, an Italian "nature pilled" Instagram influencer was arrested in Rome and charged with plotting a series of anti-tech attacks that took inspiration from Ted "The Unabomber" Kaczynski. Two self-described "ecofascists" that carried out a deadly anti-Muslim attack on a mosque in San Diego last month also cited "AI slop" and JD Vance's ties to Palantir as motivations for their violence in their manifesto. An Indianapolis city councilor woke up earlier this year to gunshots being fired into his home before finding a note that read "NO DATA CENTERS".The growing public backlash to the tech industry's rapid rollout of artificial intelligence has taken many, mostly-non violent forms such as local communities organizing against datacenters and political candidates promising increased oversight. Yet at the fringes, researchers say grievances against the AI industry and its leaders are animating old violent extremist movements and fomenting new ones."AI is becoming this driver of political violence, and that's a very new phenomenon," said Jordyn Abrams, a researcher at the Program on Extremism at George Washington University.AI as a Unifying Factor for Extremist GroupsWhile much of the early public discussion around generative AI and extremism focused on how malign actors like terrorist groups could misuse products such as ChatGPT for propaganda purposes or plotting attacks, there is more recent attention given to how the AI industry as a whole can radicalize people. What motivates someone to extremist violence might not be a conversation with a chatbot, researchers say, but the society-wide disruption, narrative of existential threat and lack of accountability that has come with the AI boom.In the same way that AI has come to pervade many facets of modern life, the technology has also filtered into the way that extremists think about the world. Whether it is violent anti-government groups opposing mass surveillance, ecofascists with environmental grievances, neo-Nazi accelerationists bent on collapsing critical tech infrastructure or the man who allegedly targeted Altman's house worried about superpowerful artificial intelligence destroying humanity, AI has become a fixation across the extremist spectrum."It really transcends these left-right dichotomies," said Yannick Veilleux-Lepage, an associate professor at the Royal Military College of Canada. "We're seeing a lot of different groups, a lot of different ideologies being framed through a lens of anti-AI."The Unprecedented Speed of AI TransformationThe modern anti-tech movement has a long lineage. Periods of technological change are historically accompanied by backlash from the people most affected, with researchers often pointing to the early 19th-century luddite rebellion of British textile workers smashing automated knitting machines as they demanded more labor rights. The next 200 years brought waves of violent labor disputes and political violence that accompanied tech's market disruptions, uneven accumulation of wealth and disenfranchisement of workers.In the 1990s, there was cultural pushback against the rise of the personal computer and the fear of how it would disrupt society. Common complaints included fears of replacing human workers, environmental harm and crumbling healthy social structures."Haven't you heard? It wants your job. It peddles you smut. It corrupts your kids. It's cold, sterile, inhuman. Suddenly, it's okay to hate your computer," read a New York Magazine cover story from 1995 on the "New Luddites".The same year as New York Magazine ran its cover story, the Washington Post and the New York Times published the Unabomber's anti-tech manifesto, a 35,000-word screed against industrial society that has proliferated online in the years since and become the closest thing that anti-tech extremism has to a foundational text.What separates anti-AI extremism from these previous waves of tech backlash, researchers say, is partly the speed and scale of how AI is bringing about economic, social and political change."Not only are these whole-of-society changes and not only are they really disruptive, they're happening really quickly," Veilleux-Lepage said. "There isn't time for people to build resilience or to inoculate themselves from these changes".The AI industry's longstanding talking points – that the technology will revolutionize the world, if not end it – also lend themselves to a radicalizing narrative that AI poses an existential threat and must be stopped at all costs. When Veilleux-LePage gives talks to policymakers about anti-tech extremism, one of his slides simply features a series of quotes from CEOs."In order to radicalize people, you don't actually need to have theorists or ideologues that are calling people to violence against AI, because the tech CEOs are doing a pretty good case," Veilleux-LePage said.Corporate Response and Security ConcernsAltman has often framed the changes AI will bring as something that may be difficult, but is ultimately both positive – above all, he describes the change as inevitable."I expect some really bad stuff to happen because of the technology which also has happened with previous technologies," Altman said on venture capital firm Andreessen Horowitz's podcast last year.While tech CEOs are publicly optimistic about the resilience of society and the change that AI will bring about, it is also clear that they are privately concerned with the threat of political violence. Spending on personal security for executives has ballooned over the past five years amid incidents such as the killing of UnitedHealthcare CEO Brian Thompson, while tech leaders such as Elon Musk now pour millions into their own protection. SpaceX revealed in its IPO filing earlier this year that it paid $4m last year to Musk's private security firm, double what it had spent only two years before.There are signs over the past year that the AI industry is shifting its rhetoric as it grapples with widespread public distrust. Altman claimed last month that AI would probably not lead to the "jobs apocalypse" that he once discussed, even as companies like Meta lay off tens of thousands of workers. OpenAI and Anthropic have meanwhile both announced funds and thinktanks this year aimed at helping civil institutions adapt to AI, with OpenAI's non-profit organization committing $250m to grants for programs that help workers navigate AI upheaval.Major AI firms are hiring national security, intelligence, and weapons experts to monitor threats and misuse of their technology, including some with a background in extremism and counter-terrorism research. OpenAI's head of intelligence previously worked as one of the foremost academic experts on the Islamic State and wrote a book on the group's belief that it was bringing about the apocalypse. OpenAI and Anthropic did not respond to requests for interviews with their intelligence or security experts.The Accountability Gap and Future RisksThe closing off of legitimate avenues to address public opposition to AI, as well as the feeling that the technology is being forced upon society, is creating what researchers describe as a gap in accountability that can further incentivize terrorism and political violence.Donald Trump, in alignment with tech leaders, issued an executive order last year attempting to block any state-level legislation that would rein in AI development and has said that nothing will slow down the US in the global AI race. Tech billionaires are also pouring millions of dollars into lobbying and political spending in an attempt to prevent regulation of AI."When authorities are too busy, or just don't care enough, to regulate and take action, then people affected are going to take action," said Mauro Lubrano, a lecturer at the University of Bath and author of Stop the Machines: The Rise of Anti-Technology Extremism.Federal law enforcement documents acquired by Wired and the Intercept show that US authorities are increasingly monitoring anti-tech movements, while authorities have declared they will aggressively prosecute violent attacks. Following the attempted arson at Altman's house earlier this year, authorities vowed that "the FBI will not tolerate threats against our nation's innovation leaders".Yet researchers warn that authorities risk conflating the nationwide protests and calls for increased regulation of AI with more fringe, anti-tech extremist views, which is both inaccurate and counterproductive. Programs aimed at mass surveillance and attempts to silence nonviolent anti-AI movements will inevitably backfire, Lubrano says, further pushing people to the violent fringes if they feel their legitimate grievances aren't being addressed."We have this opportunity to be proactive in this while avoiding mistakes that we've made in the past when responding to other forms of extremism," Lubrano said. "Something tells me that we're not off to a great start".

The Wall Street Test for AI DominanceArtificial intelligence giant Anthropic has confidentially filed for an initial public offering (IPO) in the United States, positioning itself as a critical contender in the ongoing Wall Street AI frenzy. This move signals a high-stakes test to determine if investor appetite for the AI revolution can sustain sky-high expectations.Confidential Filing Signals Aggressive Growth StrategyAnthropic's decision to file confidentially allows the company to advance its listing preparations while shielding sensitive financial details from competitors and the public. The company last raised $65bn in late May, a massive influx of capital that underscores the aggressive expansion of its infrastructure and talent pool.Valuation Milestone: Anthropic is currently valued at $965bn, surpassing rival OpenAI.Revenue Scale: The company reports annualised revenue of $47bn from enterprise clients using its Claude chatbot.Strategic Focus: Unlike OpenAI's consumer focus, Anthropic is heavily concentrated on enterprise, coding, and software development.A $1 Trillion Benchmark for Frontier ModelsThe impending listing sets a new benchmark for the valuation of frontier AI models. At close to a $1 trillion valuation, Anthropic would vault into the top tier of the S&P; 500, joining an elite group of global equity market leaders.This valuation comes on the heels of SpaceX's mega-IPO, which is pursuing a $75bn offering at a $1.75 trillion valuation. The combined demand for capital from these tech giants is expected to create significant disruptions in the capital markets.Capital Markets Under Siege from Tech GiantsAnalysts warn that the race to go public is intensifying as OpenAI prepares its own confidential filing. The competition for a finite pool of investor capital is expected to drain liquidity and attention from smaller listings.“OpenAI and Anthropic are in a race to go public before capital runs out,” said analyst Gil Luria. “The other reason for Anthropic to try to beat OpenAI out to the public market is that they will get to set the agenda for how a frontier model reports financials.”Setting the Agenda for AI Financial ReportingThe IPO race is not just about raising funds; it is about defining the future of AI financial metrics. As both firms continue to lose more money than they make, the market will be watching closely to see if the AI boom can be sustained by revenue or if it represents a bubble.Anthropic's rapid rise in early 2026 rattled markets, triggering sell-offs in software stocks as investors worried about the disruption of traditional business models. The outcome of this IPO will likely dictate the valuation standards for the entire industry for years to come.

The Historic SpaceX ValuationElon Musk's rocket company SpaceX is targeting a valuation of nearly $1.77 trillion in its blockbuster initial public offering (IPO), paving the way for the largest stock market debut in history. In a filing with the US Securities and Exchange Commission, SpaceX announced plans to sell 555.6 million shares at $135 apiece, raising approximately $75 billion.Market Position and Financial ImpactThe eye-popping valuation would make SpaceX the world's seventh-largest company by market capitalization, ahead of Musk's electric vehicle maker Tesla and social media giant Meta, and just behind Taiwanese chipmaker TSMC. This would eclipse energy giant Saudi Aramco's 2019 debut, which raised $26 billion at a valuation of $1.7 trillion.Despite the public listing, Musk will retain effective control of SpaceX with more than 82% of voting rights, the result of a dual-class stock structure that grants certain shares 10 votes instead of one.Industry Transformation and Investor ConfidenceSpaceX's listing will be a test of investors' confidence in Musk's vision, which has yet to translate into profits at the company. SpaceX reported a net loss of $4.9 billion on revenue of $18.7 billion in 2025, followed by a $4.3 billion loss in the first quarter of this year.Despite SpaceX's lack of profitability, market sentiment is strong, with buyers of investment products linked to the listing pricing the company's end-of-first-day market capitalization at $2.2 trillion. The Tesla parallel is perhaps worth drawing: It debuted in 2010 as a loss-making company and largely tracked the S&P; 500 for years, only breaking away decisively once it turned profitable for the first time in Q1 2013.Future Outlook and Market ImplicationsSpaceX's debut is the first of three mega-IPOs expected this year, along with AI startups OpenAI and Anthropic. The listings are poised to add trillions of dollars in value to the US stock market, which is already hovering at record highs on the back of the AI boom.Founded by Musk in 2002, SpaceX is best known for designing and launching rockets, spacecraft and reusable launch vehicles on behalf of NASA and private companies. The company also provides internet services and artificial intelligence models through its Starlink and xAI divisions.Musk has outlined lofty ambitions for SpaceX, including to establish a "self-sustaining" city on Mars, "make life multiplanetary", and "extend the light of consciousness to the stars." With SpaceX, there is a risk that cash flows will be used to send hundreds of thousands of people to Mars, at a loss, according to Jay R Ritter, an emeritus professor at the University of Florida who specialises in IPOs.

The New York Datacenter Moratorium New York moved closer toward becoming the first US state to enact a moratorium on large datacenters this week. On Thursday, the state legislature approved a one-year ban on the facilities powering the AI boom. How Would New York's Temporary Ban on Datacenters Work? The moratorium largely targets datacenters built by 'tech goliaths' and will not apply to facilities already possessing the necessary state permits. The bill would also require an environmental impact report, which would document water and electricity usage, as well as new labor, energy efficiency and transparency standards, and ratepayer protections aimed at keeping New Yorkers' energy bills low. A Part of a Nationwide Pushback More than a dozen US states have considered moratoria in response to residents' fears about the potential costs of living next to datacenters, especially higher utility bills and negative environmental impacts. The Data Center Coalition, a trade association that has championed the expansion of these facilities, worries that a statewide moratorium would 'discourage further investment, undermine New York's economy, and send a signal that the state is closed for business'. The Scene in Albany In Thursday's debate on the legislative floor in the state capital of Albany, lawmakers against the ban echoed industry worries that it was a one-size-fits-all measure that would stifle economic growth and supersede local control. Kristen Gonzalez, a New York state senator and co-author of the bill, disagrees with that approach, saying 'It's an abdication of our responsibility to ask a local government to engage and take on the wealthiest companies in the world. That is what state government is for.'

The Lead Residents in Monterey Park, California, have become the first in the US to vote on a permanent ban on datacenters, with early results indicating a resounding victory for the prohibition. The ballot measure, which needed a majority vote of at least 51%, saw 86.3% of over 7,000 votes counted so far in favor of banning datacenters. The Event Details Monterey Park's city council had already passed an indefinite moratorium on datacenters in April, but this ballot initiative makes the ban permanent. The move was driven by concerns over negative environmental effects, increasing utility prices, and the proximity of datacenters to homes. The proposed datacenter, which would have covered nearly 250,000 sq ft, was withdrawn by developers HMC StratCap after backlash. The Data Analysis The Data Center Coalition (DCC), a trade association that tracks datacenter development, notes that this is the most forceful ban on datacenters so far. Nationally, seven in 10 Americans oppose the construction of AI datacenters in their local areas, according to a Gallup poll. The ban in Monterey Park may set a precedent for other communities to follow. The Impact Analysis The ban on datacenters in Monterey Park reflects growing anger towards these facilities powering the AI boom. Communities across the country are turning to political pressure to stop their spread, demanding local officials pass protective ordinances and block datacenter developers' proposals. At least a dozen states are considering statewide moratoriums on datacenters, although none have been signed into law yet. The Prediction The permanent ban on datacenters in Monterey Park could have significant implications for the tech industry, which relies heavily on these facilities. As concerns about the environmental impact of datacenters continue to grow, it is likely that more cities and states will consider similar bans or moratoriums. This could lead to a shift in how and where datacenters are developed in the future.

Lead: Record‑Breaking Nikkei Fueled by AI EnthusiasmJapan’s stock market reached an all‑time high on June 3, 2026, with the Nikkei 225 climbing nearly 3 % to breach the 68,000 mark for the first time.Nikkei 225 Surpasses 68,000 Amid AI‑Driven RallyThe surge continues a banner year, up roughly 33 % year‑to‑date. Leading the charge were semiconductor‑related firms: Tokyo Electron jumped up to 14 %, Advantest rose 5.5 %, and Shin‑Etsu Chemical added about 4 %. In contrast, SoftBank slipped about 3 % after briefly overtaking Toyota as Japan’s largest company by market capitalisation.AI Chip Investment Fuels Multi‑Trillion Dollar ValuationsGlobal demand for AI chips has pushed three memory makers—South Korea’s SK Hynix, Samsung Electronics, and U.S.-based Micron—into the exclusive $1 trillion market‑cap club. Overall, only 17 firms have reached that milestone, the majority U.S.-based. Goldman Sachs estimates U.S. tech giants will spend about $800 bn on AI‑related capital investment in 2026. Alphabet announced an $80 bn share sale to fund expected $180‑190 bn of AI‑related capex this year.Ripple Effects Across Asian Markets and Yen DynamicsKhoon Goh, head of Asia research at ANZ, noted that “Investor enthusiasm over the AI boom is helping drive Asian equity markets higher.” Strong chip demand is also buoying Taiwan and South Korea, while a weaker yen adds a tailwind for Japanese exporters.What the Next Wave of AI Spending Could Mean for Japan’s MarketIf AI‑related capex maintains its current trajectory, Japan’s technology sector could see further inflows, potentially pushing the Nikkei beyond the 70,000 threshold within the next 12‑18 months. However, sustainability concerns linger as valuations remain sky‑high.

Executive Overview: AI Boom Fuels a New Socio‑Economic DivideThe surge of artificial‑intelligence investment in the San Francisco Bay Area resembles a modern gold rush, yet beneath the hype lies a growing anxiety that a permanent underclass could emerge worldwide.From Bay‑Area Gold Rush to Global Underclass ConcernsTop programmers are being courted with compensation packages worth hundreds of millions of dollars, and early‑stage engineers are already contemplating retirement before age 35. Billboards line the Bayshore Freeway promoting hyper‑niche AI products, underscoring how lucrative targeting founders has become compared with traditional advertising.Despite this wealth concentration, many young tech elites fear that failure will relegate them to the “permanent poor” as AI automates large swaths of white‑collar work, especially coding.Compensation Packages and Regional Disparities: The Numbers Behind the FrenzyOffers of hundreds of millions to switch firms illustrate the premium placed on AI talent.Early‑stage employees consider exiting the workforce before 35, a stark contrast to typical career trajectories.South Korean giants Samsung and SK Hynix have become trillion‑dollar players thanks to AI‑driven demand for memory chips.Europe’s standout is ASML, holding a near‑monopoly on high‑end lithography machines.Why the AI Economy Threatens Developing Nations and Mid‑Level WorkersCountries that cannot secure a foothold in the AI supply chain risk being left behind. Africa and Latin America lack the electricity infrastructure and capital needed for data‑centres, while mineral‑rich nations may see AI‑related revenues but lack institutions to distribute them.India’s massive outsourcing sector faces exposure as AI replaces mid‑level white‑collar roles, even though the country possesses deep technical talent that often migrates to California.China, already an AI powerhouse, is only beginning to grapple with the social implications of large‑scale job displacement.The United States, despite its dynamism, may see wealth concentrated among a small group of first‑movers unless policy intervenes.Scenarios for Mitigating an AI‑Driven UnderclassImplementing a universal basic income funded by progressive taxation of AI‑generated profits.Investing in basic infrastructure—electricity, broadband, and education—in Africa and Latin America to enable participation in the AI value chain.Strengthening institutions in mineral‑rich economies to ensure AI‑related revenues are channeled into public services.Encouraging corporate responsibility among Silicon Valley firms to share gains with broader society.Without coordinated action, the AI economy could deepen existing inequalities, creating a permanent underclass that spans continents.

The Skeptic's Manifesto: "Ghost in the Machine" ReviewDirector Valerie Veatch, known for documentaries like Love Child and Me at the Zoo, shifts her focus to the intersection of internet culture and artificial intelligence with her latest film. Her self-set remit is urgent and germane to everyone right now: to critique the pursuit of AI, its questionable utility, and its dark history in race politics and eugenics. The film arrives as a counter-narrative to the current stock-market bubble pushing the value of major tech companies toward the stratosphere.Connecting AI to Eugenics and Silicon Valley's Dark PastThe film functions as a straightforward primer on AI history, guiding the viewer toward AI-skeptical conclusions. Veatch and her interviewees explore a dazzling array of colorful, often crazed figures, including Victorian British eugenicist Francis Galton and William Shockley, the Silicon Valley founding father and overt racist. The documentary also touches on current-day figures like Elon Musk, juxtaposing their influence against the historical roots of the technology.Historical Depth: The film traces the lineage of AI from 19th-century eugenics to modern Silicon Valley.Interviewees: Features a mix of philosophers, linguists, and historians.Recent Context: While it misses the recent courtroom brawl between Musk and Sam Altman, it captures the broader skepticism surrounding the industry.Market Skepticism Amidst the AI Stock BubbleDespite the hype driving valuations, the documentary argues that the utility of AI is highly debatable. The film serves as a critical lens through which to view the current financial landscape, suggesting that the market may be detached from the reality of the technology's capabilities. By highlighting the historical misuse of data and classification systems, the film questions the ethical foundation of the current AI boom.The "AI vs NOT AI" Visual IndicatorA unique device in the film is the use of capitalized, Helvetica-font text in the upper-right corner to indicate whether the content being shown is AI-generated or not. This visual cue addresses the growing difficulty for viewers to distinguish between human and machine-generated media, a central theme in the documentary's polemic.The Future of Tech Critique in DocumentariesWhile the film occasionally feels dense—resembling a university lecture with goofy archive clips—it provides a necessary counter-balance to the industry's marketing narrative. As AI integration deepens, the demand for critical, historical context in media is likely to grow, making documentaries like this essential viewing for understanding the full scope of the technology's impact on society.