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A tweet sharing commentary on Ben wanting ordinary people to use AI as economic actors to prevent hedge funds from dominating the economy, and why that requires education.
European residential real estate operator Heimstaden is adopting OpenAI's tools to transform its letting and property management processes, cutting virtual staging costs by over 99% and targeting significant annual savings.
Unhappy kids are 8x more likely than happy kids to confide in a chatbot first, with 16% of kids rating their happiness 6/10 or lower saying they would talk to a chatbot before any person, compared to just 2% of those rating 9 or 10.
A discussion post asking whether 2026 will be the last 'normal' year before AI adoption explodes in 2027 and fundamentally reshapes daily life.
Simon Willison revisits U.S. Census Bureau BTOS survey data to update his AI adoption-by-firm-size chart, finding adoption climbing sharply for large firms while noting the Bureau's data collection has been disrupted by Executive Order 14434, the "Super Intelligence" order.
The article argues there is no single AI adoption rate, comparing survey-based reach, transaction-based paid demand, production deployment, and financial-return measures from sources like McKinsey, Ramp, and the US Census, and explains why their differing denominators, visibility, and time periods make the figures non-comparable.
The Federal Reserve's first AI module in its Small Business Credit Survey of 5,248 firms found that small businesses using AI are the most likely to plan hiring, while most are still only experimenting rather than fully integrating the technology.
TechCrunch examines growing criticism that AI executives like Marissa Mayer, Sam Altman, and Mark Zuckerberg are out of touch with everyday users, using their AI-forward personal anecdotes as a lens on broader skepticism about the industry's direction.
Google Trends data shows searches for 'AI for [job]' far outpace searches about AI replacing that job — 28:1 for teachers, up to 44:1 for translators — suggesting people are seeking AI assistance rather than fearing replacement.
Box CEO Aaron Levie argues that as AI capabilities advance, people should aim for outputs that qualitatively exceed what they could have produced before AI, rather than just working slightly faster — otherwise you're not pushing your use of AI enough.
A commentary on Box CEO Aaron Levie's viral post arguing that AI progress is accelerating rather than plateauing, making company AI workflows outdated within months and widening the gap between frontier users and everyone else.
A practitioner outlines the top 7 reasons enterprise AI pilots fail — starting with no process map, automating an immaterial step, and lacking a baseline — arguing process re-engineering must precede AI deployment.
一年后回顾MIT"95%的AI试点失败"这一广为引用的数据：该数字本身是基于对报告漏斗的误读和仅153份问卷的垃圾统计，但后续来自McKinsey、Deloitte、Capgemini及政府统计的数据表明，其背后的诊断——多数企业AI支出仍未反映到损益表上——大体成立。
Heavier AI users report higher odds that AI will take their job within two years, with those using AI over 40 hours a week fearing displacement at about 35% compared to 20% for light users, suggesting hands-on exposure to AI may heighten awareness of its disruptive potential.
Proton CEO Andy Yen cancelled company-wide 're-interviews' that would have forced employees to justify their AI usage, following backlash and a 404 Media investigation revealing a culture of fear and security concerns being dismissed under aggressive AI mandates.
FurtherAI shares nine months of lessons on building an AI-native engineering org, where AI agents handle nearly every step of the shipping pipeline — from code writing to tests, review, CI, bug triage, and auto-merging — resulting in a 5x increase in code changes per engineer while keeping revert rates under 0.5%.
A large European logistics company said it cannot use AI due to German workers councils, highlighting how labor regulations can hinder AI adoption in enterprises.
MIT Technology Review Insights 在 Atlan 赞助的报告中指出，多数企业虽已使用 AI，但仅 16% 获得变革性价值，关键缺失在于让 AI 理解业务的『上下文层』架构。
A discussion arguing that local AI deployments will surge at enterprises because companies want to keep their data private and local models are already good enough for most tasks, needing only a plug-and-play solution.
Nigerians assign Claude tasks that are about 1.6x more ambitious than those given by Americans, suggesting that in countries with lower Claude penetration, users tend to be power users.