The hottest Industry Trends Substack posts right now

And their main takeaways
Category
Top Business Topics
Marcus on AI • 12370 implied HN points • 05 Feb 26
  1. Nvidia appears to have cut back a promised $100 billion investment in OpenAI to roughly $20 billion. That reduction could leave OpenAI exposed because it burns many billions of dollars each year.
  2. The AI industry was propped up by circular financing—chipmakers funding AI firms that then buy their chips—and those arrangements are now unraveling. If those deals fall apart, the market faces bubble-like risks similar to past tech booms.
  3. If marquee deals collapse and leading AI firms falter, the multitrillion-dollar expansion many expected might never materialize. Instead of accelerating, the industry’s growth could stall or shrink.
Marcus on AI • 15295 implied HN points • 26 Dec 25
  1. The AI industry looks like a financial bubble that may start collapsing in 2026, with growing signs like heavy debt and strained economics.
  2. Large language models have inherent technical limits—especially their lack of world models—that make them unreliable and hard to monetize, and huge investments haven't fixed this.
  3. Once people accept these limitations as inherent rather than temporary bugs, many promised use cases and valuations will unwind, even though LLMs themselves will continue to exist.
Marcus on AI • 10473 implied HN points • 07 Jan 26
  1. Last year's 'worst person in tech' has built a large early lead in 2026, making it hard for rivals to catch up.
  2. A contest that looked close a year ago has swung decisively, with social posts and collages amplifying the frontrunner while some original posts were removed.
  3. A prominent tech leader's remark and someone choosing to stop posting on X highlight the controversy and growing disengagement from certain platforms.
Don't Worry About the Vase • 3225 implied HN points • 12 Feb 26
  1. AI capabilities are accelerating rapidly, with new model releases improving agentic coding, in-context continual learning, and media generation so fast that benchmarks and measurement struggle to keep up.
  2. These advances are already reshaping economies and work: automation and agentic tools threaten many jobs, trigger volatile market reactions, and push companies toward new monetization and product strategies like ads and verticalized offerings.
  3. Safety, alignment, and governance remain urgent unresolved problems; researchers are worried or leaving, red lines get crossed, and connecting powerful models to real-world systems (labs, agents, surveillance) creates legal and existential risks we aren’t yet managing.
The Algorithmic Bridge • 828 implied HN points • 06 Mar 26
  1. A metric that mixes LLMs' theoretical abilities with real-world usage reveals a huge gap between what models could do and what they're actually used for. For example, models theoretically cover ~94% of computer/math tasks but are used for only ~33%, and a similar gap appears in legal work (~90% vs ~20%).
  2. There are two ways to read this gap: one is optimistic that adoption will expand until real use matches theoretical capability, and the other is that the gap shows real limits and inflated lab benchmarks rather than a temporary lag.
  3. The practical lesson is that the industry may be overestimating AI's near-term labor impact and needs to focus on rigorous evidence of real-world competence and adoption, not just benchmarked capabilities.
Get a weekly roundup of the best Substack posts, by hacker news affinity:
Marcus on AI • 14742 implied HN points • 21 Nov 25
  1. The high-profile "AI 2027" doomsday prediction has been postponed, and AGI is unlikely to arrive in 2027 and probably not this decade.
  2. National policy and big parts of the economy were built around the assumption of imminent AGI, so those plans and investments need to be seriously rethought.
  3. The doomsday narrative was largely speculative and served as marketing, amplified by media and influencers while dissenting views were downplayed, showing we relied too much on hype instead of sober analysis.
Big Technology • 3252 implied HN points • 19 Jan 26
  1. Davos has shifted into an AI-heavy event where companies are framing artificial intelligence as the new face of corporate social good. Hundreds of AI sessions and branded “AI houses” show tech is using the meeting to sell altruism alongside products.
  2. Top tech CEOs, political leaders, and nation-states are converging to shape AI policy and business, turning Davos into a hub for dealmaking and national AI ambitions like sovereign models and new pavilions. The event blends publicity, partnerships, and product pitches in equal measure.
  3. Big tensions remain unresolved: AI’s rising energy use vs. sustainability, who will govern powerful systems, and whether all the benevolent rhetoric will translate into real action. Companies have announced worker-training and access commitments, but follow-through is the real test.
Marcus on AI • 11145 implied HN points • 25 Nov 25
  1. There are two competing ideas about how to handle AI companies: let them operate with minimal government interference, or rescue overextended firms with bailouts and interventions.
  2. David O. Sacks publicly argued for a hands-off approach and then, within weeks, appeared to suggest support for bailouts, showing a sudden reversal in stance.
  3. Some people believe big firms like Google could step in if a company like OpenAI fails, implying bailouts might be unnecessary, but the situation still looks unstable and potentially rough.
Don't Worry About the Vase • 3628 implied HN points • 31 Dec 25
  1. AI made fast, practical advances across reasoning, coding, images, and video this year, with standout model releases that moved everyday capabilities forward even if progress felt uneven and often incremental.
  2. Policy and corporate battles — from export-control fights and chip sales to OpenAI’s for-profit conversion — had huge effects on safety, competitiveness, and who keeps technological advantage.
  3. The best response is to focus on durable work: prioritize evergreen resources, do more coding and careful triage, and publish fewer high-impact pieces rather than chasing every headline.
The Honest Broker • 20845 implied HN points • 15 Feb 25
  1. There's a big difference between music industry profits and musicians' earnings. While the industry claims to be thriving, many musicians are finding it harder to make money.
  2. Streaming platforms are making more money than ever but paying musicians less. This trend is leading to fewer opportunities for artists to earn from their work.
  3. The excitement in music is shifting towards live performances rather than recorded music. Fans seem to care more about concerts than new albums, highlighting a disconnect in how music is consumed.
Computer Ads from the Past • 1152 implied HN points • 30 Dec 25
  1. Apple made strategic and product mistakes by overinvesting in niche machines like the Apple III and Lisa while neglecting expandability, compatibility, and ongoing R&D for its best-selling lines.
  2. Woz left to build Cloud9 as a small, engineering-driven company focused on simple, user-friendly consumer products like a programmable universal infrared remote, preferring hands-on design and staying private.
  3. The personal computer market is saturating and likely to consolidate around a few big players; standardization, compatibility, and meeting real user needs matter more than raw specs, and downturns can be a good time for focused startups.
The Algorithmic Bridge • 371 implied HN points • 05 Feb 26
  1. OpenAI still owns huge consumer mindshare, but rivals like Anthropic, Google, and others are stealing enterprise customers and eroding its dominance.
  2. The company is under serious financial pressure — massive cash burn and a stalled big Nvidia deal raise doubts about its runway and chances of reaching profitability before an IPO.
  3. Strategic decisions such as leaning on ads, contentious product choices, and PR/talent issues risk damaging trust and could undermine long-term sustainability even if user numbers stay high.
Obvious Bicycle • 723 implied HN points • 01 Dec 25
  1. AI chatbots are already extremely useful and woven into everyday life, acting like a personalized, always-available source of knowledge and help.
  2. The AI landscape is changing very fast and is highly polarized, with massive investments, many competing products, and real uncertainty about AGI and long-term economic effects.
  3. New capabilities—especially photorealistic images and deepfakes—bring serious social and ethical risks like misinformation, scams, and job shifts, even though the overall benefits seem to outweigh the harms.
The Chip Letter • 5897 implied HN points • 28 Jan 25
  1. Technology changes rapidly, but some issues, like how to effectively use computing power, seem to stay the same. This means we often find ourselves asking similar questions about the future of tech.
  2. Gordon Moore's insights from years ago still apply today, especially his thoughts on competition and applications for technology. He pointed out the need for practical uses of increased computing power.
  3. Concerns about technology making us 'stupid' remain relevant. However, it's more about using computers without losing understanding of basic principles than about being incapable of learning new skills.
Common Sense with Bari Weiss • 2170 implied HN points • 10 Jul 25
  1. Consulting firms, once seen as valuable, might be facing a decline because they are becoming less relevant and more bloated.
  2. Many believe that the work done by consultants often benefits their own profits rather than helping their clients effectively.
  3. With advancements in AI and changes in business needs, the future of consulting is uncertain, and some experts are advising against investing in the industry.
Democratizing Automation • 292 implied HN points • 14 Dec 25
  1. Open models made a dramatic jump in 2025, matching closed models on many benchmarks and becoming realistic options for real-world deployments beyond just privacy or fine-tuning.
  2. A few breakout releases — notably DeepSeek R1, Qwen 3, and Kimi K2 — had outsized influence, driving wider adoption and encouraging more open licensing from major labs, especially in China.
  3. The ecosystem exploded in scale and variety, with thousands of new models uploaded monthly, clear specialist niches and a public tiering of makers, leaving open models established and poised for further growth in 2026.
The Algorithmic Bridge • 286 implied HN points • 12 Dec 25
  1. A clear set of twenty specific predictions about how AI will develop in 2026 is presented.
  2. The piece reviews results from 2025 predictions and commits to being more specific and accountable to improve forecasting accuracy.
  3. Full access to the detailed content is behind a subscription paywall, though a 7-day free trial is offered.
Marcus on AI • 3517 implied HN points • 11 Dec 24
  1. AI skeptics believe that while there were big improvements in AI, those gains seem to be slowing down now. They think the hype isn't matching reality.
  2. Casey Newton's view oversimplifies AI skepticism by dividing it into two groups, but many skeptics have different opinions and concerns about AI's influence.
  3. It's important to recognize the problems with AI and financial issues in the industry, rather than just celebrating advancements without addressing weaknesses.
Life Since the Baby Boom • 922 implied HN points • 19 Jul 25
  1. Big music companies are likely to license their music to AI firms. This means that AI companies will pay for access to use real music to create new songs.
  2. When artists sign with a music label, their music might be used to train AI without them knowing. If they want to opt out, they may have to be very influential in the industry.
  3. People generally dislike AI-generated music, viewing it as low quality. Even so, it could become common in places like elevators or waiting rooms, which reflects concerns about its impact on genuine artistry.
Invariant • 648 implied HN points • 04 Feb 24
  1. Altria faces challenges in the e-vapor market and criticism for its product development efforts.
  2. The company is focusing on premiumization and maintaining profitability in its smokeable products segment.
  3. Altria's financial health, with strong leverage and cash flow, allows it to return capital to shareholders and navigate market challenges.
Maximum Truth • 88 implied HN points • 31 Dec 25
  1. AI systems made rapid, large intelligence gains in 2025 on a Mensa-style offline IQ test, with several models reaching scores in the human-intelligence range.
  2. Visual understanding improved significantly, enabling models to read and reason from images directly, which could let them gather new real-world training data beyond online text.
  3. Progress was global and diverse: open-source and Chinese models closed ground and formerly weak systems like Grok rose fast, increasing competition and reducing single-company dominance.
Human Capitalist • 458 implied HN points • 18 Mar 24
  1. Several notable professionals recently changed jobs, showcasing their expertise in various industries, like AI, space, and cybersecurity.
  2. These job changes highlight the importance of strong leadership in tech and data-driven sectors, suggesting that skilled leaders can significantly impact a company's growth.
  3. Monitoring job changes can provide valuable insights for investors, recruiters, and professionals looking to network or track talent in their industry.
The Ankler • 825 implied HN points • 11 Jul 23
  1. The Genius Summit at Sun Valley gathers powerful leaders in a majestic setting.
  2. Discussions at the summit cover topics like the future, AI, dealmaking, consolidation, and global tensions.
  3. The event provides an opportunity for industry leaders to connect and share insights.
A16Z GAMES • 199 implied HN points • 09 Apr 24
  1. One of the biggest challenges for game developers is working with content creators to market their games effectively. It's important to find creators that resonate with your game and engage with them early on.
  2. Each content creator is unique, so it's crucial to tailor your approach to match their audience and content style. Understand their goals and create experiences that align with them.
  3. Building long-term relationships with content creators requires kindness, respect, and genuine engagement. Treat them well, consider their needs, and value the relationship beyond short-term marketing gains.
The GameDiscoverCo newsletter • 314 implied HN points • 24 Jan 24
  1. Palworld's success shows that players enjoy familiar game mechanics with a touch of novelty on top.
  2. Palworld's unique gameplay loop and intricate mechanics contribute to its success in the gaming market.
  3. Understanding the creator's vision and the development process of a game like Palworld can provide insights into its success.
Mule’s Musings • 777 implied HN points • 03 Jan 25
  1. In 2024, AI technologies surged while many other sectors, especially automotive and smartphones, struggled. Companies like Nvidia saw huge gains, showcasing a divide in performance across the industry.
  2. The semiconductor market is cyclical, meaning trends can shift quickly. This year, companies that did poorly last year, could potentially do well, while top AI names might not see the same explosive growth.
  3. AI advancements are driving up costs and creating new economic challenges for tech companies. There's a bigger focus now on how much it costs to develop and maintain AI, differing from past trends where costs were lower.
The Security Industry • 31 implied HN points • 08 Jan 26
  1. Cybersecurity M&A hit record levels in 2025 with $96B deployed across 400 transactions, a 270% rise in deal value, and a $32B landmark acquisition.
  2. Funding also rebounded strongly with $20.7B invested—the best year since 2021—and cloud-native/SaaS deals made up 59% of deal volume and 97% of M&A capital deployed.
  3. Strategic buyers dominated disclosed deal value (92%) and the industry’s vendor taxonomy was overhauled, highlighted by a new Cyberscape and a 1,000‑logo infographic.
DeFi Education • 959 implied HN points • 05 May 23
  1. Coinbase is fighting back against the SEC, arguing that the digital assets they trade aren't securities. They believe the legal tests applied to these cases might not even fit.
  2. The SEC has raised concerns about Coinbase's business practices, particularly regarding staking services and crypto wallets. Coinbase argues that these services are more like IT support than investments.
  3. If Coinbase's legal arguments are successful, it could change how the government regulates crypto. This could provide much-needed clarity in the industry and potentially protect users and businesses.
Wadds Inc. newsletter • 59 implied HN points • 24 Jun 24
  1. AI can help public relations workers do their jobs better, but it won't completely take their place. There are still many tasks that need human touch, like building relationships.
  2. Many public relations professionals see AI tools as partners in their work, even giving them human-like qualities. This shows a growing acceptance of AI in the industry.
  3. Trust in government and media is quite low right now. Many people feel politicians are not honest or are out for their own interests, which makes it hard for the next government to regain public faith.
The Micromobility Newsletter • 432 implied HN points • 13 Jun 23
  1. Micromobility Europe showcased innovative micromobility products and concepts, like the Hilo One electric scooter with advanced features.
  2. The industry is seeing collaborations and advancements like Segway's partnership to bring advanced rider assistance systems to their scooters.
  3. There is a growing trend towards sustainable and efficient micromobility solutions, such as universal charging stations and swappable batteries.
The Lunduke Journal of Technology • 574 implied HN points • 22 Dec 24
  1. The Linux Foundation is cutting its spending, which is a big change for the organization. This could impact their projects and overall support for Linux.
  2. There are several discrimination lawsuits involving major companies like IBM, Red Hat, and Mozilla. These legal battles could lead to significant changes in how these companies operate.
  3. ChatGPT cannot mention a specific name, which raises questions about content moderation and restrictions. This situation is quite unusual and highlights issues with AI usage.
The Algorithmic Bridge • 212 implied HN points • 23 Jun 25
  1. People in the AI industry have different motivations. Some work for money and fame, while others are driven by deeper beliefs or passions.
  2. The AI field attracts a mix of individuals, from those seeking practical gains to those who see their work as a calling.
  3. Understanding these different motivations can help us appreciate the diversity in the industry and how it shapes innovations.
Frankly Speaking • 355 implied HN points • 04 Feb 25
  1. DeepSeek is a new AI that can learn on its own without needing human help. This makes it cheaper and more accessible, similar to how Uber made ridesharing easier for everyone.
  2. Many people are concerned about the rapid advancements in AI, especially when it seems like the US could fall behind China in technology. But instead of worrying, we should learn from these innovations and adapt our strategies in AI.
  3. The introduction of cheaper AI means that companies will use it more, and security needs to adjust to support this tech rather than restrict it. It's time for security teams to embrace AI and understand how to manage its risks effectively.
Why is this interesting? • 422 implied HN points • 18 Dec 24
  1. Many big hotel chains have made luxury experiences feel like a factory production, losing the personal touch. This can make stays feel more like a standard process than a unique experience.
  2. There is a growing movement toward family-owned hotels that focus on personal service and unique experiences. These hotels offer a more thoughtful and warm atmosphere for guests.
  3. The contrast between corporate hospitality and family-run hotels highlights the importance of genuine care and attention in the hospitality industry. People are looking for more than just standard comforts; they want a human touch.
SuperJoost Playlist • 257 implied HN points • 19 Oct 23
  1. Microsoft closes its acquisition of Activision Blizzard after 639 days of regulatory scrutiny.
  2. Expect Microsoft to promote Sarah Bond to CEO of Activision Blizzard to address workplace toxicity.
  3. The future of gaming will be better informed with more acquisitions likely in the industry.
Hot Takes • 216 implied HN points • 08 Aug 23
  1. Innovative ideas flourish during the pre-standard phase of a technology or industry.
  2. Establishing dominance early can lead to becoming the standard in the market.
  3. Not all innovations in the pre-standard phase will become the standard; some may fade away like passing trends.
Frankly Speaking • 203 implied HN points • 28 Jan 25
  1. There are many kinds of security organizations, and it's important to recognize that they each manage risks differently. This means not all tools will work for every organization.
  2. The cybersecurity industry has too many tools, which can create confusion and ineffective security management. Instead of just buying tools, companies should focus on building talent and critical thinking skills.
  3. Different businesses face different security risks, so their security needs should vary too. Tools should be tailored to meet these specific needs rather than forcing a one-size-fits-all solution.
Wadds Inc. newsletter • 39 implied HN points • 08 Apr 24
  1. Public relations education needs to connect real-world practice with academic learning. Right now, many students enter the field without the skills they need.
  2. Only a few UK universities offer public relations as a specialist degree, and the industry doesn't always value formal education. This is a problem for both students and employers.
  3. There's a big demand for new public relations professionals, but current education and training systems aren't meeting that need. A change in how we teach and prepare these future practitioners is necessary.