The hottest Tech investment Substack posts right now

And their main takeaways
Category
Top Technology Topics
Noahpinion 17941 implied HN points 30 Jan 26
  1. AI as an industry can succeed even if a flagship company like OpenAI ultimately loses out; early leadership isn’t a guarantee of lasting dominance.
  2. Massive investment is pouring into AI, but high cash burn, commoditization, lack of vertical integration, and intense competition mean investors could be exposed if business fundamentals fail.
  3. Betting everything on a sudden, godlike AGI is basically Pascal’s Wager and not a sound business model; realistic, gradual progress and corporate fundamentals matter far more.
Marcus on AI 9406 implied HN points 10 Feb 26
  1. Generative AI is expensive and often unreliable, so many big corporate investments are not delivering the expected returns.
  2. Banks and lenders are financing a massive AI and data-center buildout, creating large debt exposure that could spill over into broader financial stress if those investments sour.
  3. The current LLM-focused approach probably won’t produce the promised productivity gains, meaning economic and social pain is likely until more reliable forms of AI are developed.
Big Technology 3502 implied HN points 23 Jan 26
  1. People are debating whether the AI surge is a bubble or just a strong tech investment cycle. Some parts of the industry look frothy and a correction and consolidation are likely, which will make the next few years volatile.
  2. The market for AI devices could be enormous — forecasts talk about billions of always‑with‑you agents in the form of glasses, rings, watches, or desk devices. These products will only take off if they prove more useful than an app on your phone.
  3. Big tech is racing to ship wearable AI products: Google is gearing up for a major push in AI glasses soon, and other firms, including OpenAI, are moving on device plans while pursuing large funding and scaling revenue.
Chartbook 329 implied HN points 30 Dec 25
  1. US companies issued about $1.7 trillion of investment-grade bonds in 2025, much of it to fund AI infrastructure, raising worries about a corporate debt glut.
  2. The links cover a wide range of topics including large baskets of tech CDS, chip smuggling, and cultural/political pieces such as male resentment and a South Tirol figure compared to Ernst Jünger.
  3. This is a curated collection of top links and images presented as a paid newsletter, with some posts offered for free access while others require a subscription.
Alex's Personal Blog 164 implied HN points 11 Dec 25
  1. Disney struck a major partnership with OpenAI, bringing its IP, investing $1 billion, and planning to use OpenAI tech for Disney+, new products, and employee tools.
  2. Oracle missed revenue expectations and is burning cash after heavy capex, but its enormous remaining performance obligations (RPOs) mean the company could look much stronger if those bookings convert.
  3. U.S. immigration tightening is pushing big tech to boost investments in Canada and India as a talent and market hedge, with firms pledging tens of billions to those countries.
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Liberty’s Highlights 491 implied HN points 25 Sep 23
  1. The author is incorporating strength training into their routine by researching equipment like dumbbells and a bench for a home gym setup.
  2. Obsessing over equipment can distract from the main goal of strength training, but having a convenient home setup may lead to more consistent workouts.
  3. Soap is a relatively recent invention in human history, dating back around five thousand years, significantly changing personal hygiene practices.
Artificial Ignorance 37 implied HN points 29 Nov 24
  1. Alibaba has launched a new AI model called QwQ-32B-Preview, which is said to be very good at math and logic. It even beats OpenAI's model on some tests.
  2. Amazon is investing an additional $4 billion in Anthropic, which is good for their AI strategy but raises questions about possible monopolies in AI tech.
  3. Recently, some artists leaked access to an OpenAI video tool to protest against the company's treatment of them. This incident highlights growing tensions between AI companies and creative professionals.
The Green Techpreneur 12 implied HN points 29 Nov 24
  1. Trump's return to the White House could mean less government support for climate tech, which might scare some investors away. Many worry this will hurt the growth of clean technologies.
  2. Private companies may step up to fill the funding gaps left by government cuts. Startups that have strong business models and scalable solutions could attract more venture capital.
  3. In other parts of the world, especially Europe, investment in climate tech is still growing. Countries there are pushing hard for cleaner technology, providing a bright spot amidst uncertainties in the U.S.
Tech Buzz China Insider 19 implied HN points 08 Mar 22
  1. The impact of the Russia-Ukraine conflict on China includes trade relationships with Russia, support for Ukraine's sovereignty, changing Chinese attitudes, and impacts on international relations.
  2. Neil Shen's suggestions for China tech at the Two Sessions include focus areas like decarbonization, agricultural microbes, pharmaceutical innovation, neurological R&D, and digital manufacturing.
  3. ByteDance's success is attributed to its shared-service platform where specialized teams handle various functions to accelerate development and growth, demonstrating a unique organizational strategy.
Tech Buzz China Insider 0 implied HN points 18 Jun 21
  1. The post discusses various topics like Didi's IPO, China's Semiconductor Big Fund, updates on content platforms, cross border e-commerce trends, and differences between US and Chinese unicorns.
  2. The content highlights the importance of understanding semiconductors, the competition between Kuaishou and Douyin in content platforms, and emerging opportunities in cross border e-commerce.
  3. The post also includes insights on the number of unicorns in the US and China, and welcomes new members to the platform from various backgrounds.
Joshua Gans' Newsletter 0 implied HN points 22 May 16
  1. Apple's potential risk with AI: The article discusses how Google's advancements in AI could pose a threat to Apple, especially in big-data services and AI where Apple lags behind.
  2. The importance of in-house AI development: The importance of Apple investing in in-house AI talent and assets is highlighted to remain competitive, rather than relying on partnerships or acquisitions.
  3. Need for innovation and adaptation: The article emphasizes the need for Apple to adapt to potential industry shifts in AI interfaces, stay aware of dominant design trends, and align their capabilities accordingly.
Views 0 implied HN points 23 Jan 24
  1. Explore the extraordinary opportunity in deep tech investment with potential for revolutionary advances in technology and addressing critical global issues.
  2. Investment in breakthrough tech like deep tech can be uncommon due to perceived difficulties and misconceptions, but offers significant value.
  3. Mitigate risks and enhance deep tech investments by focusing on big problems, improving understanding of technology and market, and building a supportive ecosystem.