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The Lead: A New Path to Venture Capital AccessJustin Ernest has revolutionized venture capital by creating a pathway for family offices and smaller institutional investors to access high-profile startup investments through his firm Sabertooth VC, bypassing traditional VC fund structures and investing nearly $400 million across 10 companies in just 12 months.The Innovation: SPVs as Alternative Investment VehiclesInstead of launching a formal VC fund—a process that typically takes 12 to 18 months—Ernest leveraged his network to secure allocations of stock in high-profile, later-stage companies. He then offers these individual deals to approximately 30 smaller institutional investors using Special Purpose Vehicles (SPVs), which act as single-deal funds. Each deal is treated as its own separate fund, with investors buying shares in the vehicle that owns the stock.The Financial Impact: From $10M to $275M InvestmentsSabertooth's investment strategy has resulted in significant capital deployment, with checks ranging from $10 million to $275 million. The firm has secured positions in some of the most sought-after startups including Anthropic, Anduril, Databricks, PsiQuantum, and SpaceX. This approach has already yielded substantial returns, most notably from chipmaker Groq, which was acquired by Nvidia for $20 billion late last year.The Industry Shift: Democratizing Access to Premium DealsErnest's model addresses a critical gap in the venture capital ecosystem: family offices and smaller institutional investors eager to invest in fast-growing AI companies but unable to access those cap tables. In an industry where unauthorized SPVs have led to crackdowns by companies like Anthropic and Anduril, Sabertooth offers legitimacy and peace of mind. As Benjamin Wagner, CIO for a family office managing wealth for 50 individuals, noted: "Justin is authentically an investor... He has judgment, he has expertise, he's very technical, that really distinguishes him from other organizations." This validation is crucial in establishing trust with both investors and portfolio companies.The Future Outlook: Building Toward Traditional Venture CapitalWhile Ernest continues growing his SPV-based business, his ultimate goal is to eventually raise a traditional venture fund. He believes Sabertooth's strong returns through these one-off SPVs will prove his track record—a critical factor for investors considering backing a new fund. With highly anticipated events like SpaceX's IPO and Anthropic's expected public listing on the horizon, Ernest is positioned to deliver even greater returns to his investors. "I wanted to be in the action," he stated, expressing confidence that "this will end up being one of the best vintages of our lifetime."

Trump’s Pro‑Growth AI Agenda Over RegulationDonald Trump has issued two executive orders that make clear his preference for rapid AI expansion rather than safety‑first regulation. One order calls for a voluntary review of AI models 30 days before release, a watered‑down version of an earlier draft that would have required mandatory 90‑day reviews.In a separate order, the defense department is directed to accelerate AI adoption for national cybersecurity, with Trump emphasizing that the U.S. leads in AI because it "refuses to stifle this innovation with overly burdensome regulation."Executive Orders Signal Unchecked AI ExpansionVoluntary model review – 30‑day notice, no enforcement.Defense‑focused AI acceleration – no limits on capability growth.These moves suggest a policy environment that favors market growth over precautionary oversight.IPO Wave: OpenAI and Anthropic Target Public MarketsOpenAI confidentially files for an IPO on the U.S. stock marketAnthropic files for a U.S. IPO, valued at roughly $965 bnAnthropic’s valuation now exceeds OpenAI’s estimated $850 bn, positioning it as the most valuable AI lab in the United States.Financial Stakes: Government Investment vs. Market ControlTrump has floated the idea of the federal government taking equity positions in leading AI firms. Sam Altman reportedly discussed such purchases with senior White House officials, indicating the concept is being taken seriously.Two scenarios emerge:Government leverage could be used to impose safety constraints.More likely, the Treasury could act like a venture capital partner, seeking to profit from rapid AI growth.Implications for U.S. AI Leadership and Safety DebateThe combination of lax regulation, government equity talks, and massive IPOs creates a feedback loop that accelerates AI development while sidelining safety concerns. Anthropic’s public call for a “temporary pause” on AI advancement appears at odds with its own IPO ambitions.Meanwhile, the rapid construction of new AI datacenters on drought‑stricken land highlights environmental and geopolitical side effects of the boom.Outlook: How Policy and Capital Might Shape the AI LandscapeIf the administration continues to prioritize growth, the U.S. will likely retain its lead in AI capabilities but may face heightened scrutiny over safety, ethics, and environmental impact. Investors can expect continued high‑valuation IPOs, while policymakers may eventually be forced to reconcile market enthusiasm with public‑interest safeguards.

Orbital Secures $5M Seed to Pioneer Space‑Based AI Compute Orbital, a startup spun out of a16z's Speedrun accelerator in May, announced a $5 million seed round led by a roster of venture firms including Basis Set, Human Element, Wayfinder, Antler, and others. Founder and CEO Euwyn Poon, who previously built and sold e‑scooter company Spin to Ford, will use the capital to develop a prototype satellite that runs AI inference workloads in space. Lead investors: Basis Set, Human Element, Wayfinder, Antler, Anti Fund, Ascent, Rubik, Zero Knowledge Ventures, LYVC, Feld Ventures, New Legacy, FNDR, UpHonest, Asterisk. Team size: ~12 engineers in Los Angeles with backgrounds at Amazon LEO, SpaceX, Northrop Grumman. Immediate milestone: Demo flight of an Nvidia Blackwell chip on a partner satellite to validate radiation shielding and thermal management. Funding Breakdown and Projected Capital Needs The seed round provides the runway for hardware development, satellite integration, and a 2028 demonstration launch. While the $5 million covers early‑stage R&D;, Poon and investors acknowledge that scaling to a full constellation could require $5 billion over the next decade, a timeline that venture capitalists are increasingly comfortable with. Implications for AI Compute Landscape and Space Launch Economics Orbital’s strategy hinges on the economics of SpaceX’s upcoming Starship. Current launch costs with the Falcon 9 make space‑based data centers “not economically feasible,” but a fully reusable Starship could lower per‑kilogram costs enough to justify a distributed gigawatt of compute power. The company aims for 10,000 satellites, each delivering 100 kW of power, comparable to Elon Musk’s target of 150 kW per AI satellite and rival Starcloud’s planned 200 kW units. Roadmap to 2028 Demo Flight and Long‑Term Constellation Goals Key upcoming milestones: 2026‑2027: Complete radiation‑shielding and thermal‑management prototypes; secure a launch slot on a partner satellite. 2028: Conduct the first flight carrying an Nvidia Blackwell chip, demonstrating in‑orbit inference capability. Post‑2028: Incrementally launch satellites to generate revenue per unit, mirroring Starcloud’s “piece‑wise inference” model, while awaiting Starship’s commercial availability for full‑scale deployment. Even if Starship’s timeline slips, competitors like Cowboy Space Company and Blue Origin are exploring alternative launch solutions, underscoring a broader industry push toward space‑based AI infrastructure. Long‑Term Outlook: A Decade‑Scale Bet on Space‑AI Fusion Analysts see Orbital’s ambition as a “10‑year, $5 billion” play that aligns with the growing demand for AI compute and the desire to bypass terrestrial constraints such as cooling and regulatory reviews. If successful, the venture could reshape the AI hardware supply chain, create a new market for satellite‑hosted GPUs, and validate the economic case for large‑scale, space‑borne data centers.

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 Datacenter Dilemma Kevin O'Leary, a flamboyant venture capitalist and co-host of Shark Tank, is at the center of a climate controversy in Utah. He is a key backer of a plan to build one of the world's largest datacenters in a parched corner of the state. The Scale of the Project The proposed datacenter, known as Stratos, will span 40,000 acres of rural Utah and is expected to double the entire energy use of the state. The project has sparked fierce backlash from local residents, who are concerned about rising power bills and water demand on the shrinking Great Salt Lake. The Water Usage Conundrum The datacenter's massive water usage is a major concern, with estimates suggesting it will require 73 billion gallons of water to cool the computers by 2028. This has raised questions about the sustainability of datacenters, particularly in areas with limited water resources. The Impact on Local Communities The grassroots revolt against datacenters is gaining momentum, with many communities expressing concerns about the environmental impact. The controversy has also sparked a bipartisan response, with some politicians calling for the projects to be downsized or reevaluated. The Future of Datacenters As the demand for datacenters continues to grow, driven by the expansion of the artificial intelligence industry, the question remains: what cost to our environment are we willing to tolerate? The debate over datacenters highlights the need for a more sustainable approach to resource management and energy production.

The LeadFormer England footballer Gary Lineker's media production company Goalhanger has been crowned the UK's fastest-growing business, according to the latest Sunday Times list of the 100 quickest-growing private companies. The company, which produces popular podcast series including 'The Rest is History' and 'The Rest is Politics,' achieved remarkable growth with £37.9m in sales in 2025, representing an average annual growth rate of 321% over the past three years.The Podcast EmpireGoalhanger has built a diverse media portfolio centered around its 'The Rest is …' podcast series. This includes 'The Rest is History' hosted by historian Tom Holland and journalist Dominic Sandbrook; 'The Rest is Entertainment' featuring Richard Osman and Guardian columnist Marina Hyde; Lineker's own 'The Rest is Football'; and 'The Rest is Politics' hosted by Rory Stewart and Alastair Campbell. These podcasts exploded in popularity following the coronavirus pandemic and now collectively boast more than 750 million listeners worldwide.The Financial BreakthroughDespite employing just 80 people at its London headquarters, Goalhanger has demonstrated exceptional financial performance. The company has boosted its revenue through paid subscriptions and events, reaching a milestone of 250,000 paid subscribers in January 2026. These subscribers generate approximately £15m in annual revenue for the company. The financial success has attracted significant investment, including a minority stake purchase by Los Angeles-based investment firm The Chernin Group in January 2026.The Media Industry TransformationGoalhanger's rise reflects a broader shift in the UK media landscape toward digital-first content creation and distribution. The company's success demonstrates how former public figures can leverage their expertise and audience reach to build substantial media enterprises. Additionally, Goalhanger's expansion into venture capital, with investments in creator-led media businesses like Invisible Media and Backyard Cricket, signals the company's ambition to shape the future of creator-driven media in the UK and beyond.The Future OutlookWith strategic partnerships including a £14m deal with Netflix to broadcast 'The Rest is Football' during the World Cup, Goalhanger is positioned for continued growth. The company's venture capital arm and existing subscriber base provide a solid foundation for expansion into new markets and content verticals. As the UK's fastest-growing business, Goalhanger exemplifies the potential of podcasting as a dominant media format, with further international expansion likely as the company capitalizes on its proven business model and growing global audience.

StrictlyVC Los Angeles is positioning itself as a critical nexus for the intersection of defense technology, artificial intelligence, and venture capital. Scheduled for Thursday, June 18, 2026, at The Aerospace Corporation Campus in El Segundo, the event promises to dissect the strategic shifts driving the next generation of hard tech and national security innovation. Key Sessions: Bridging the Gap Between Software and Hardware Ethan Thornton (founder of Mach Industries) will lead a discussion on "Built for a New Era of Defense Technology," focusing on how autonomy and manufacturing are reshaping national security. Delian Asparouhov (Founders Fund) and Saif Khawaja (Shinkei Systems) will explore the rise of "Physical AI," examining how robotics and automation are creating tangible value beyond the digital realm. Carter Reum (co-founder and partner at M13) will analyze how AI is driving long-term durability in industries, moving investors away from short-term hype. The Capital Flow Trend: From Software to Hard Tech While specific financial figures are not yet disclosed, the agenda reveals a clear market signal: capital is aggressively pivoting toward "hard tech." The inclusion of defense contractors and robotics experts alongside traditional venture capitalists indicates a measurable shift in portfolio allocation. Investors are no longer satisfied with pure software margins; they are seeking the tangible, high-barrier-to-entry opportunities presented by physical AI and defense manufacturing. Why Los Angeles is Becoming the Defense Tech Capital The choice of The Aerospace Corporation Campus in El Segundo is not coincidental. This location underscores the deepening ties between Southern California's entertainment and tech sectors and the federal defense industrial base. The event highlights a regional transformation where the "creative class" is increasingly applying its expertise to national security challenges, blurring the lines between Silicon Valley innovation and Pentagon requirements. The Future Outlook: Long-Term Durability in a Volatile Market Based on the speakers' focus on "long-term durability," the prediction for the coming year is a consolidation of the tech sector. Startups that can demonstrate resilience and tangible utility—rather than just viral growth—will attract the lion's share of funding. The era of speculative software bubbles is ending, replaced by a demand for companies like Mach Industries and Shinkei Systems that are built to withstand geopolitical and economic shifts.

The New Executive Order on AI Oversight President Donald Trump signed an executive order on Tuesday designed to give the government a chance to review powerful AI models before they are released. The order asks certain AI companies to voluntarily submit their new models to the government for testing or evaluation 30 days before releasing the products to the public. Industry Pushback and Changes A previous draft of the order had called for a voluntary review up to 90 days in advance, though AI industry insiders had pushed for something closer to a two-week window. Trump had been slated to sign the more demanding version of the order in late May, but delayed after industry pushback, including from venture capitalist and former White House AI czar David Sacks. Key Provisions and Limitations The order states that "Nothing in this section shall be construed to authorize the creation of a mandatory governmental licensing, preclearance, or permitting requirement for the development, publication, release, or distribution of new AI models, including frontier models." Trump had planned to sign the EO with a bevy of Silicon Valley's top CEOs in attendance but ended up signing the current version privately. Additional Enforcement Measures In addition to the voluntary governmental AI model review, the EO directs the Department of Justice to treat crimes like AI-assisted hacking and unauthorized access as a high-priority enforcement area. Context and Previous Actions This isn't the president's first EO on AI. Last December, Trump signed an order directing the development of "one rulebook," or a national AI policy framework, intended to preempt state AI laws.

The CEO Disconnect: Analyzing the 'AI Psychosis' Phenomenon Box founder Aaron Levie has ignited a necessary conversation within the tech industry with his recent assertion that tech CEOs are uniquely prone to 'AI psychosis.' Levie’s comment suggests that while executives are aggressively pushing AI integration, they remain 'distant from the last mile of work,' leading to a disconnect where tools are mandated without genuine understanding of their utility or impact on the workforce. This phenomenon is part of a broader, polarizing trend where AI is simultaneously embraced and rejected, creating a complex landscape for both consumers and businesses. Google's Search Overhaul and the Rise of Anti-AI Sentiment Google’s recent announcements at its annual developer conference have become the focal point of this backlash. The tech giant is aggressively integrating AI into its search experience, moving away from the traditional '10 blue links' model toward a more conversational, AI-driven interface. However, this shift has caused confusion and alienated long-time users who value the simplicity and predictability of the classic search engine. The company’s vague messaging regarding how these changes will coexist with existing features has further eroded trust among its core user base. The 30% Surge in DuckDuckGo and User Backlash The consumer reaction to Google’s AI pivot is tangible and measurable. Following the announcement of more AI features, DuckDuckGo reported a significant 30% increase in installs. This surge indicates a substantial market shift driven by user distrust of AI integration. Additionally, the polarization is evident among younger demographics, with graduating college students booing mentions of AI, suggesting a generational divide on the technology's role in education and information retrieval. The Disconnect Between Executive Vision and Workforce Reality The core of Levie's argument lies in the 'last mile' problem. Unlike previous technological revolutions where adoption was often bottom-up—employees adopting tools they found useful—AI integration appears to be driven top-down by executives and venture capitalists chasing efficiency dreams. This top-down mandate ignores the reality of how these tools function on the ground, leading to a workforce that is skeptical of AI-driven productivity gains, especially when coupled with the backdrop of tech industry layoffs. The Future of AI Adoption: From Top-Down Mandates to Bottom-Up Integration The current 'anti-AI moment' may serve as a pivotal opportunity for startups and alternative business models. As established players like Google struggle to balance innovation with brand identity, there is a growing lane for services that prioritize user privacy and traditional search experiences. For the industry to move forward, CEOs must bridge the gap between their strategic vision and the actual user experience, moving from abstract efficiency slides to a genuine understanding of how AI tools function in daily workflows.