Who is on each side · Part 09 · The grid
How fast do habits break?
13 voices across 3 questions on Habit Was the Moat. Agents Are Draining It.: one row per voice, one column per question, the side each voice holds and the published claim with its date and a verified link where one exists.
The grid
| Voice | How fast do habits break? | Whose margin pays? | Who collects? |
|---|---|---|---|
| Andrew Walker | Eighteen months, or less Faced with two extreme camps on consumer AI agents (that they are massively overhyped versus that every consumer-facing company is a short because agents will eat their margins), the creator says both are too extreme but if forced to pick, they… AI agents make price-shopping and replacing skilled workers (e.g., using AI to edit a podcast instead of a consultant) easy, and if saving money is the core consumer use case for AI, this could have a deflationary impact on the consumer economy at… Voices that cross sides The creator says they cannot watch how easy Muse is to use and how fast its downloads have taken off and conclude it won't have a big impact on the consumer economy. The creator suggests that Muse acting as a layer that decides where consumer spend goes is a massive threat and opportunity for retailers, noting as evidence that Amazon banned Muse. | The inertia businesses Craneware's customer base of established US hospitals is likely highly resistant to replacing entrenched software systems, making the business unlikely to be disrupted by AI coding tools. The major current use case for consumer AI agents appears to be saving people money, as illustrated by widely retweeted examples of an agent called Muse saving users money on insurance, returns, phone bills, and even getting free food. Not every habit The creator's market-related takeaway is that Muse (a consumer AI agent) is very bearish for businesses that rely on consumer inertia (OTAs, subscription services, banks, etc.), and the stock market seems to be starting to agree with and catch up… Based on conversations with 'normie' friends (a possibly small/early sample), most people who get access to Muse, including the creator himself, have an early productivity burst that fades off hard as usage falls off a cliff within a few days. | Not on this question |
| Tae Kim | Eighteen months, or less As computer tool use rises, AI compute demand will explode just as it did when agentic coding took off, when reasoning models ramped, and when AI chatbots were first released. Having used Muse over the past week, the creator found problems in the quality and accuracy of its responses and found it hard to choose it over ChatGPT, and suspects others will feel the same way. Voices that cross sides On the owner of the agent and on the rails beneath it. | The inertia businesses Despite Muse's initial traction, its long-term success is far from assured; Meta can cross-promote it across Facebook, Instagram, and WhatsApp, but competitors with similar distribution advantages are coming, with OpenAI likely being the biggest… The creator says he has seen enough: the personal AI agents released over the past month will be a huge paradigm shift for computer usage and a major positive inflection point for technology. | The owner of the agent After personally using OpenAI's Dots, Meta's Muse and Instinct, the creator says he now has much higher confidence that personal AI agents will be the future of computing and a lift off for a new AI wave, praising how they proactively ping him… With the release of GPT-6 Astra, computer tool use AI has finally become real, and he is now confident AI will soon perform actual software knowledge work tasks better and faster than most humans, with competence accelerating rapidly from here. The rails and the atoms The CPU under every agent's machine. |
| Ren | Eighteen months, or less Once an AI moves from surfacing a link to researching, deciding, executing and paying, it inserts itself between the customer and the business, potentially capturing an unusually valuable piece of the internet's discovery and transaction funnel. The unit of interaction is shifting from the prompt to the objective: instead of a chatbot loop of question-and-answer, Muse takes a goal, plans, executes, and only interrupts the user at decisions it isn't allowed to make alone. | Not on this question | Not on this question |
| Moses Sternstein | Still a demo The data suggests that, for now, the story is 'App-Slop': AI has produced many more apps, but they are not successful apps in any meaningful sense. Paid consumer AI adoption remains quite low even though it is growing, per Consumer Edge data showing roughly 3% adoption as of Q1, with younger people adopting at about 4x the rate of older people. | Not on this question | Not on this question |
| David George | Still a demo The creators argue OpenAI will prevail not because of best models, chips, cost-performance curve or even best product — though they think OpenAI has those — but because it is so good at creating new kinds of customers and has the most durable… As of September 2026, the creators say intelligence-as-a-service product rankings are no longer the most important question; intelligence is everywhere and nearly anyone can do nearly anything, yet most people aren't yet, so awakening new behavior… | Not on this question | The owner of the agent As of April, barely about 2% of US households were paying for some AI service; the number is higher now and growing, but still tiny in the big scheme of things. While nearly 30% of S&P 500 companies report some quantifiable impact of AI, only about 2% report any tracked metric, and similarly only a tiny share of the overall userbase is meaningfully deploying agentic use-cases at scale. |
| Michael Spencer | Still a demo The creator is not confident about Muse's odds of success, citing that only Anthropic has shown how to scale ARR so far in this Generative AI cycle, that the ratio of app downloads to actual users seems fairly low and suspicious, and that Meta… Generative AI's impact on the macro economy and labor market is a serious concern: higher inflation, less hiring, more anxiety, and a lack of ROI compared to the debt, capex and resulting AI bubble, with higher earnings masking dangerous… | Not on this question | The owner of the agent Since Meta Muse optimizes how consumers clean up digital subscriptions they no longer care about, at scale it could implode subscriptions and accelerate subscription fatigue further in 2027, significantly hurting independent media providers such as… The creator is not sure a future AI monopoly warning about human-extinction risk will be well received given how unpopular AI and Silicon Valley currently are in America, Europe and elsewhere, and says more will be known once there is more data on… |
| Torsten Slok | Not on this question | The inertia businesses Either tech's customers will generate a lot more cash than their analysts expect, or tech's cash flow forecasts are too optimistic, which raises the question of who exactly will be writing all those checks to buy AI services. Agentic AI assistants like Muse could soon automatically sweep household cash into accounts paying 3.3% to 5.0%, instead of leaving it in checking accounts earning the 0.1% national average. | Not on this question |
| Alex Immerman | Not on this question | The inertia businesses Customers already accept higher menu prices on DoorDash to pay for convenience, which was necessary for restaurant economics to work; the creator is uncertain whether people would similarly accept higher prices shown to assistants or pay a… AI assistants don't need to replicate Amazon's warehouses to pressure Amazon's profits; they only need to become the place where the customer decides what to buy, illustrated by Amazon banning Muse while Shopify, which lacks a comparable scaled ad… | The rails and the atoms Shopify, Toast and Square get paid whichever agent brings the order. |
| Oguz Erkan | Not on this question | Not every habit Booking's competitive position in its core market is currently unshakable because its global, differentiated network reinforces supply-side lock-in, which in turn reinforces demand growth; a dissatisfied hotel cannot find a distribution channel as… Google Search is declining but the decline is concentrated in informational rather than transactional queries; citing Ahrefs and Pew, the creator says transactional-intent query share grew from 24.7% in 2025 to 26.4% in 2026, and Booking gets… | Not on this question |
| Invest in Assets | Not on this question | Not every habit The 'AI will replace TurboTax' narrative undersells how much of Intuit's moat is trust, compliance complexity, and habit rather than just software, and that gap between fear and reality is the opportunity. The narrative that AI will replace tax software is starting to crack because consumers and enterprises pay for certainty, and AI mistakes could be more costly than using software like TurboTax. | Not on this question |
| Mia Silverio | Not on this question | Not on this question | The owner of the agent Muse is gaining traction: as of that Friday it ranked No. 1 in Apple's App Store ahead of ChatGPT at No. 2, Gemini at No. 8, and Claude at No. 13, and since its September 8 unveiling Meta has added nearly $170 billion in market cap and is up 9%… Meta's Muse, released with less initial fanfare than the Anthropic-OpenAI race, is a serious AI agent product designed to handle everyday tasks like reservations, appointments, and purchases, with Meta's CEO stating the plan is to eventually take a… |
| The VC Corner | Not on this question | Not on this question | The rails and the atoms This is the first liability answer in agentic commerce that anyone has actually priced, and because merchants and consumers route toward whoever carries the risk, the default rail will be the one that pays for its own mistakes. The industry's central question is no longer whether the agentic economy will arrive but who will build the rails it runs on, and Ant International has made its bid to be that builder. |
| Stephen Clapham | Not on this question | Not on this question | The rails and the atoms The creator notes the FT panel did not explain the post-2022 fall in the graduate premium, and argues part of it is non-graduate pay rising rather than graduates faring worse, citing rocketing US demand for electricians, while judging AI too recent… Moritz argued that AI is the inshoring of jobs to robots and tokens, threatening white-collar work as globalisation offshored blue-collar work, and that because each successive tech wave has reached more computers the effects will be felt more… |
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