The hottest Risk Substack posts right now

And their main takeaways
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Top Business Topics

What It Means To Be A Bank Is Rapidly Changing

Fintech Business Weekly • 304 implied HN points • 01 Mar 26
đź’° Finance Risk
  1. The definition of a bank is changing quickly as many fintechs, crypto firms, and nonbank companies apply for charters to offer digital-asset, stablecoin, and payment services.
  2. That rapid shift is drawing pushback and scrutiny from regulators, trade groups, and lawmakers who say some approvals lack transparency, may exceed legal intent, and risk conflicts or political influence.
  3. Despite the upheaval, FDIC data shows the banking system remains broadly healthy with strong net income, slightly higher net interest margins, shrinking unrealized securities losses, loan growth, and generally stable credit metrics.

đź•› The Doomsday Clock is a myth machine

Faster, Please! • 2102 implied HN points • 28 Jan 26
đź•ą Technology Risk
  1. AI is being mythologized as a techno-god or existential threat instead of seen as a human-built tool with concrete, measurable capabilities.
  2. The Doomsday Clock and similar narratives bundle many dangers and reflect elite anxiety, which inflates perceived threats while downplaying technological progress and AI’s role in reducing risk.
  3. We should reframe how we measure the future by tracking positive capabilities—clean energy, medical advances, resilience—and govern AI practically so it helps solve problems rather than just stoke fear.

Life in the Fast Lane With Robinhood Markets

TK News by Matt Taibbi • 2681 implied HN points • 21 Dec 25
đź’° Finance Risk
  1. Robinhood grew fast by making trading feel like a game that gives quick dopamine hits, which attracts young, aggressive traders. That design encourages frequent, risky trading rather than long-term investing.
  2. The company’s main profit comes from selling customer orders (payment for order flow) to high-frequency market makers and pushing high-margin products like options and zero-day trades. Those products provide big leverage and can wipe out inexperienced traders while generating hefty fees for the platform.
  3. Robinhood is expanding into prediction markets, deeper crypto leverage, and partnerships with market makers to drive more engagement and revenue. That strategy locks users into riskier products and raises the chance many will suffer large losses if markets turn down.

The Doomsday Trade

Common Sense with Bari Weiss • 255 implied HN points • 26 Feb 26
đź’Ľ Business Risk
  1. A viral memo about AI, presented as a scenario rather than a prediction, still triggered a huge market selloff when investors panicked.
  2. The memo describes rapid AI adoption causing mass white-collar layoffs, collapsing consumer spending, rising unemployment, and a negative feedback loop that could devastate the economy.
  3. The episode shows markets are highly vulnerable to sentiment and viral narratives, able to wipe out hundreds of billions of dollars in value in a single morning.

Top Links 997 AI in the bond market. How the UK ended coal. Pasolini on Gramsci and Trotsky on Europe.

Chartbook • 672 implied HN points • 29 Jan 26
đź’° Finance Risk
  1. Big Tech’s move into AI is creating new risks for the bond market by concentrating data, models, and trading influence in a few platforms that could amplify shocks.
  2. The UK’s phase-out of coal shows how coordinated policy and market shifts can rapidly retire fossil fuel capacity and offers a practical model for energy transition elsewhere.
  3. Engagements like Pasolini on Gramsci and Trotsky on Europe show that cultural and political theory still shape how we understand national identity and continental politics, offering different lenses on power and change.
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#52 - AI autonomy spectrums are only half the story

OSS.fund Newsletter • 56 implied HN points • 12 Mar 26
đź•ą Technology Risk
  1. Hugentic means giving an agentic system real work while keeping explicit human authority—machines do the heavy lifting but humans set goals, limits, handle exceptions, and own the outcomes.
  2. Autonomy alone isn’t the whole story—you must judge both how much a system can do and how clearly human control, traceability, and governance are preserved, since similar autonomy can look very different in practice.
  3. Focus on five practical governance questions—who sets the goal, who grants permissions, who sets thresholds, who handles exceptions, and who owns the consequence—because these decide whether greater autonomy is safe and deployable in enterprises.

2025 Annual Letter: Technology is the Cake, Geopolitics is the Icing

Interconnected • 200 implied HN points • 09 Feb 26
đź’Ľ Business Risk
  1. Put technology first, then assess geopolitical tailwinds or headwinds, then evaluate the company, and only finally consider price. Geopolitics is an unavoidable layer that can make or break a tech investment.
  2. Widespread adoption of AI agents will create strong demand for deterministic guardrails like observability, data governance, DevOps, and security because probabilistic models need rules and audit trails. Agent workloads are also more heterogeneous, which could shift infrastructure demand from GPUs toward CPUs.
  3. Human surveys will likely understate agent effectiveness as people protect jobs, creating a measurement problem for adoption, and political or local backlash against AI data centers can become a bipartisan constraint. Investors should expect regulatory and supply risks and consider modest hedging and risk management.

Another One

QTR’s Fringe Finance • 29 implied HN points • 11 Mar 26
đź’° Finance Risk
  1. Two huge shortfalls — $26 billion plus $33 billion — add up to a problem too big to ignore.
  2. Worrying signs in one area of the financials keep showing up every day, suggesting the issue may be growing.
  3. The full analysis is behind a paywall, so you need a subscription to read the detailed breakdown and implications.

War Expands, Markets Fragile: Latest Portfolio Update Heading Into Monday

QTR’s Fringe Finance • 34 implied HN points • 08 Mar 26
đź’° Finance Risk
  1. The conflict has expanded into a multi-front regional war with strikes on Iran’s infrastructure, attacks across the Gulf, and Hezbollah involvement, increasing the risk of a larger, prolonged confrontation.
  2. Iran’s leadership appears to be shifting after the reported killing of Supreme Leader Ali Khamenei, with his son Mojtaba reportedly poised to succeed and hardliners likely to retain control, creating major political uncertainty.
  3. A focused 26-stock portfolio is still outperforming the S&P 500 by roughly 5% year-to-date, but markets are on edge and investors should expect heightened volatility and sector-specific risks.

QTR & Adam Taggart: Private Credit, Valuations, Favorite Sectors

QTR’s Fringe Finance • 18 implied HN points • 13 Mar 26
đź’° Finance Risk
  1. Markets look stronger on the surface than they actually are, with QE, passive flows, and options activity propping up stretched valuations and hiding pockets of fragility.
  2. Private credit is under real stress — many funds face redemptions, gated withdrawals, and questionable marks, creating the risk of a broader credit event.
  3. A more defensive stance is sensible: favor energy, utilities, and staples while selectively pursuing opportunities in nuclear, oil & gas, cybersecurity, psychedelics, and precious metals, and be cautious about overbuilt AI/software plays.

Private Credit Just Turned Into Public Panic

QTR’s Fringe Finance • 38 implied HN points • 06 Mar 26
đź’° Finance Risk
  1. A problem that looked like a $25 million issue rapidly blew up into a $26 billion one. That shows how fast losses can escalate.
  2. That magnitude of escalation could trigger or accelerate a panic in private credit, especially if it unfolds over a weekend when markets are thin.
  3. The episode highlights the fragility and interconnected risks in private credit, making the near-term outlook highly uncertain and worth close monitoring.

The techno-optimist's fallacy

Slow Boring • 7429 implied HN points • 23 Oct 23
đź•ą Technology Risk
  1. The fallacy of assuming all technological progress is inherently good is a common mistake.
  2. The nuclear energy industry faced significant opposition in the 1970s, impacting energy policies and environmental outcomes.
  3. While technological progress is vital, it is crucial to acknowledge that technology can have negative impacts that need to be addressed.

What War With Iran Means For Markets Monday

QTR’s Fringe Finance • 56 implied HN points • 28 Feb 26
đź’° Finance Risk
  1. The U.S. and Israel have launched coordinated major strikes on Iran, including attacks in Tehran, and Iran has already retaliated with missiles and drones toward Israel and regional targets.
  2. Heavy, last‑minute options and gold/silver buying suggest some traders were positioned ahead of the attacks, meaning order flow signaled the event before it was public.
  3. The situation has disrupted regional airspace and could push markets two ways: a wider escalation that spurs volatility, safe‑haven flows and commodity shocks, or a more contained conflict that lets markets stabilize.

If Financials Fall, Does the Bull Market Follow?

Spilled Coffee • 24 implied HN points • 11 Mar 26
đź’° Finance Risk
  1. The financial sector is now sending a clear warning that could precede a broader market pullback, and that signal feels important to watch.
  2. A technical breakdown first flagged on Feb 28 has continued to deteriorate, making the concern more urgent than before.
  3. The full, detailed analysis and updates are available only to paid subscribers, indicating deeper coverage behind a paywall.

Shit Is Getting Ugly In This One Sector I'd Avoid

QTR’s Fringe Finance • 33 implied HN points • 19 Feb 26
đź’° Finance Risk
  1. A specific market sector is beginning to show serious problems, and the early signs suggest the situation could worsen.
  2. One company’s recent troubles are exposing cracks that hint the sector’s foundation may be weak, which could spill over and hurt the broader market.
  3. This isn’t a brand-new concern—there have been repeated warnings for years that this sector could be a hidden time bomb.

Frame of Reference

Doomberg • 7718 implied HN points • 25 Jul 23
🔬 Science Risk
  1. Fatal energy-related incidents occur due to the risks in harnessing, storing, and transporting energy.
  2. Despite tragedies, society often continues to utilize energy sources by weighing risks and benefits.
  3. The nuclear energy industry faces disproportionate fear and opposition compared to other energy sources.

This Is What It Looks Like When Shit Hits The Fan

QTR’s Fringe Finance • 105 implied HN points • 17 Dec 25
đź’° Finance Risk
  1. A major financier walking away from a $10bn Oracle data‑centre deal signals that the economics of hyperscale AI build‑outs are getting harder to justify and the margin for error is shrinking.
  2. The AI infrastructure boom is increasingly debt‑ and leverage‑driven rather than self‑funded, with rising credit spreads and tighter lender terms suggesting cash flow may not cover the planned capex.
  3. That kind of pullback can rapidly shift market psychology from complacency to risk reduction, making a leverage‑heavy, high‑capex setup fragile and prone to a sudden unraveling.

The Case For A 30% Market Crash

QTR’s Fringe Finance • 31 implied HN points • 02 Feb 26
đź’° Finance Risk
  1. Markets are extremely overvalued and both stocks and bonds are heavily over-owned, making prices fragile and prone to a large correction.
  2. Weak consumer demand, speculative AI capex, rising tariffs, and a Fed tolerant of higher inflation together threaten profit margins and could force P/E multiples significantly lower.
  3. If multiples revert to more normal levels (around 17x), the S&P could drop over 30% even without an earnings decline, and a falling 'E' would make the crash much worse.

The Day Crypto Died: Anton Wahlman

QTR’s Fringe Finance • 25 implied HN points • 05 Feb 26
đź”® Crypto Risk
  1. People are coming home to see big losses in their brokerage accounts after a crypto crash and are suddenly asking what crypto even is.
  2. A lot of investors bought crypto because they were told it was the future and would only go up, not because they understood it.
  3. This collapse shouldn’t be surprising — the market was built on hype and unrealistic expectations, which made it fragile.

Understanding Risk in Chess

Zwischenzug • 550 implied HN points • 20 Jan 24
🎾 Sports Risk
  1. Trust your calculations and decisions, don't act out of fear
  2. GMs know when to calculate deeply and when to play it safe
  3. Prioritize simple and safe options over risky and complicated choices in chess

One Stock I'll Avoid Forever

QTR’s Fringe Finance • 23 implied HN points • 30 Jan 26
đź’° Finance Risk
  1. A specific S&P 500 stock is identified as one to avoid forever, with a firm stance against ever owning it.
  2. Recent developments this week made the negative view even stronger.
  3. The detailed explanation and reasons are behind a paywall and require a paid subscription to read.

What Could Possibly Go Wrong with Sam Altman’s New Ambitions?

Marcus on AI • 2489 implied HN points • 09 Feb 24
đź•ą Technology Risk
  1. Sam Altman's new ambitions involve projects with significant financial and technological implications, such as automating tasks by taking over user devices and seeking trillions of dollars to reshape the business of chips and AI.
  2. There are concerns about the potential consequences and risks of these ambitious projects, including security vulnerabilities, potential misuse of control over user devices, and the massive financial implications.
  3. The field of AI may not be mature enough to handle the challenges presented by these ambitious projects, and there are doubts about the feasibility, safety, and ethical implications of executing these plans.

AI risk ≠ AGI risk

Marcus on AI • 4466 implied HN points • 28 Mar 23
đź•ą Technology Risk
  1. Superintelligence and AGI risk are not the same, but both raise concerns.
  2. Mediocre AI like large language models can create serious problems due to wide deployment.
  3. Control over current AI technologies is crucial to prevent misuse by criminals and terrorists.

#47 - Thought Experiment - What if we stop 'fake approving' by humans?

OSS.fund Newsletter • 18 implied HN points • 05 Feb 26
đź’Ľ Business Risk
  1. Human approval chains for low‑value purchases are slow, costly, and often little more than ritualized clicks that add days and overhead without improving outcomes.
  2. AI agents can encode purchasing policy as rules, check budgets, vendors, and contracts in milliseconds, and create auditable logs that cut per‑order cost and cycle time while keeping controls intact.
  3. A practical path is to sample recent small POs, classify which truly need human judgment, then pilot simple auto‑approve rules with identity, logging, and time‑bound tests so people only handle the genuinely ambiguous cases.

This Week in AI Doublespeak

Marcus on AI • 3122 implied HN points • 18 Mar 23
đź•ą Technology Risk
  1. Tech doublespeak can be compared to political manipulation
  2. AI models claiming to reason may not always provide valid conclusions
  3. Companies may not align actions with stated commitments regarding AI ethics

Liquidity, Not Logic: QTR And Epoch Times Talk Markets

QTR’s Fringe Finance • 21 implied HN points • 09 Jan 26
đź’° Finance Risk
  1. Stocks are driven more by liquidity and expectations of policy support than by the current health of the real economy, so bad economic news can sometimes lift markets even as it masks growing strain and creates moral hazard that shifts costs into inflation and weaker purchasing power.
  2. Market valuations look high by almost every historical measure, leaving little margin for error, so investors should be realistic about what they’re paying for and the future growth those prices assume.
  3. Speculation is concentrated in areas like crypto and parts of AI where downside can be sudden, and individual investors should read 10‑Ks, compare peers, understand debt and cash flow, and beware passive flows and index concentration.

Lululemon

Business Breakdowns • 275 implied HN points • 23 May 23
đź’Ľ Business Risk
  1. Lululemon dominates luxury athleisure market with loyal customers and high-quality products.
  2. The company has strong revenue segments, with high margins in direct-to-consumer sales.
  3. Industry trends and growth opportunities in menswear and international markets support Lululemon's continued success.

You Can Be an Entrepreneur Without Being a Founder

Insight Axis • 217 implied HN points • 30 Jul 23
đź’Ľ Business Risk
  1. Entrepreneurship is not limited to being a startup founder with venture capital, it is a broader concept that involves problem-solving, risk-taking, and resource management.
  2. Common definitions of entrepreneurship emphasize risk-taking and creating economic value, but a more inclusive definition should focus on problem-solving with limited resources and seeking leverage.
  3. Examples of entrepreneurship span beyond traditional business ventures and can include activities like writing on platforms such as Substack or a college student taking unconventional steps to secure internships.

When Insurance Admits AI is Safer Than People

Tippets by Taps • 6 implied HN points • 22 Jan 26
đź’Ľ Business Risk
  1. Insurance companies are starting to price self-driving miles as much safer than human-driven miles, with some cutting per-mile premiums by about half when autonomous mode is engaged.
  2. Insurers that use onboard telemetry and AI to price risk get a strong first-mover advantage. If their lower loss rates hold, traditional underwriting based on age or ZIP will look obsolete and others will follow.
  3. As AI and robotics replace human tasks, adjacent industries, regulations, and pricing models will need to reprice reality. That shift could make cars without meaningful autonomy relatively more costly to own and be slowed by laws that restrict telemetry-based pricing.

A misleading open letter about sci-fi AI dangers ignores the real risks

AI Snake Oil • 1171 implied HN points • 29 Mar 23
đź•ą Technology Risk
  1. Misinformation, labor impact, and safety are key AI risks raised in an open letter.
  2. Speculative risks like malicious disinformation campaigns overlook real harm caused by over-reliance on AI tools.
  3. Addressing near-term security risks from AI integration into real-world applications is crucial, and the containment mindset may not be effective.

Reading the game

The Uncertainty Mindset (soon to become tbd) • 119 implied HN points • 20 Sep 23
đź“– Philosophy Risk
  1. Most games are about taking risks rather than dealing with true uncertainty. In games, the rules and winning conditions are usually clear.
  2. Understanding the difference between risky situations and those filled with true uncertainty is important. Real-life problems, like climate change, involve a lot more unknowns.
  3. To get better at handling uncertainty, we should expose ourselves regularly to uncertain situations. This helps us learn and grow in a world that often feels unpredictable.

Risk Reading for the Holiday Season

Risk Musings • 458 implied HN points • 02 Dec 23
🚌 Education Risk
  1. Stephanie's risk-focused reading list includes books on AI, cyber-weapons, corporate influence, economic disparities, and hopeful history.
  2. The books cover topics like AI risk, cybersecurity, corporate influence, economic disparities, and hope for humanity.
  3. Stephanie is interested in forming a risk book club and reading books in a group setting.

March Madness

Pinecone Weekly Brief • 78 implied HN points • 18 Mar 23
đź’° Finance Risk
  1. The post is about March Madness in banking and credit.
  2. There are images in the post related to the content.
  3. The author provides links for further information and disclosures at the end of the post.

How long is the long run?

Klement on Investing • 5 implied HN points • 17 Dec 25
đź’° Finance Risk
  1. Over nearly a century U.S. small-cap stocks beat large caps on average, but that average hides very long stretches of underperformance that can last decades.
  2. Factors like value and size can stop working for longer than investors can stay invested, so multi-decade waits make them impractical for many investors.
  3. Academic evidence for factor outperformance can be sample-dependent and misleading, meaning results that look strong in one historical period may reverse in another.

Failure as a Feature, Not a Bug

Perspectives • 6 implied HN points • 04 Dec 25
đź’Ľ Business Risk
  1. Failure is a necessary tool for growth and staying competitive, so take smart risks and treat setbacks as learning opportunities.
  2. Leaders should model vulnerability and normalize failure so their teams feel safe to experiment and innovate.
  3. Build simple habits—start with small bets, separate your identity from outcomes, create external accountability, and run blameless reflections and stories to capture learnings.