Podcasts about ai ai

What Every Time-Starved Entrepreneur Needs to Know About Using ChatGPT to Win at Social Media Marketing in 2026   Master ChatGPT for online entrepreneurship with conversion-focused tactics. In this episode, we reveal the exact AI entrepreneur prompt systems for social media captions, split-testing ad copy, and auditing conversion leaks—strategies busy parents are using to scale side gigs without agency fees. Learn the caption engineering framework, A/B testing methodology, and audit checklists that turn engagement into income in 2026. https://DarkHorseEntrepreneur.com Tracy explains how to use ChatGPT (including GPT-4o and 5o) and other AI models to scale social media marketing by rapidly generating and testing multiple caption hooks to boost first-hour engagement velocity, then extending AI use to full ad campaign architecture across platforms with native-format variations, systematic low-budget testing, and scaling winners while killing losers. It emphasizes that AI is a force multiplier, not a replacement, and warns that poor offers and weak funnels can't be fixed by AI—AI amplifies both good and bad strategy. A parallel "conversion audit" process is recommended, using tools like GA4 data analyzed in ChatGPT to identify high-quality traffic, CPA, and ROAS. The script argues the real competitive advantage is strategy and audience insight, and outlines monetization via productized services, SOPs, automation tools, and digital products, while cautioning against burnout from scaling too many systems instead of focusing on clarity and sustainable execution.   00:00 AI Social Media Promise 01:35 Algorithm Brutal Truth 02:13 Caption Engineering System 04:19 AI Powered Ad Testing 06:45 Avoid Scaling Mediocrity 08:09 Conversion Audit Loop 09:51 Strategy Beats AI 10:48 Clone Systems to Scale 12:23 Clarity Over More Systems 13:54 Final Leverage Takeaway  

[제가말을빨리끝내겠습니다(마지막회)] 왼쪽으로 가는 미국, 이것도 백래시일까 - 김민하 시사평론가[재래/미디어연구실(마지막회)] 중앙 부도 사태로 고민해보는 미디어노동자의 미래 - 기추자 ∙ 박영식 시사평론가 [지극히 정치적인 AI] 미국의 AI쇄국, 소버린은 필수가 되었나 - 송경호 ETRI 인공지능안전연구소 선임연구원[카라노조와 함께하는 동물친구들] 이름도 빼앗긴 바위, 사람들이 잘해줬더라면 - 바위, 고현선 카라노조 지회장최소한의 의사소통 -------------- 〈XSFM 서포터즈 멤버십〉https://xsfm.benecent.org/ARS 1522-5637xsmall 바로가기: https://xsmall.co.kr/제보 메일: xsfm25@gmail.com광고 문의: xsfmmall@gmail.com※ 영상의 무단 사용을 금지합니다. 〈그것은 알기 싫다 NEWS BY DAYLIGHT〉 방송 화면 인용 시, XSFM 출처를 표기해주세요.#중앙일보 #미토스 #소버린AI #카라 #김민하 #기추자 #박영식 #송경호 #고현선 #인공지능안전연구소 #그것은알기싫다NewsByDaylight #그것은알기싫다 #그알싫 #NBD #그알싫NBD #NewByDaylight #뉴스바이데이라이트 #뉴바데 #유승균 #XSFM

【AI瓦基第二大腦｜打造不被淘汰，越用越強的AI工作流】 ✅ 8小時課程，一站學好 AI 思維與協作方法 ✅ 《閱讀前哨站》瓦基親授三年AI協作實戰心法 ✅ 獨創PACE行動思考地圖：覆蓋AI應用全場景 ✅ 附贈 10 項獨家 AI 專案包＋ 資源庫持續更新 ✅ 長效保值的系統學習，AI越強、你會越強

又到了互联网人满世界奔浪、频繁出差的季节。但作为随时需要“应急响应”的职场牛马，你一定被这种“顶级焦虑”支配过：人在高铁、景区、或者是刚跑完步的路上，甲方爸爸突然在微信里夺命连环催：“把这个大部的执行文档看下！”“PPT改个错字！”“帮我把这个复杂的数据表对齐一下……”这时候，你是满地找咖啡厅掏出笨重的笔记本电脑，还是疯狂地在小屏幕手机里“不断打断心流”地来回切屏，最后假装“装死没看见”？本期节目，我们深度聊了聊他们拿到还未正式发售的 vivo X Fold6 工程机后的真实体验，从硬核的工作流重构、人机交互变迁视角切入，聊聊折叠屏是如何从“仅仅展开一块大屏（视觉升级）”，进化到“真正展开一个大任务（生产力跃迁）”的。这也是标题里说的“第二次进化”。第一次进化，是手机屏幕终于可以展开，解决“看得更多”的问题。第二次进化，是系统、交互和AI 开始围绕多任务重组，解决“做得更多”的问题。它展开的未必只是屏幕，也可能是我们对移动办公的一次重新想象。⏳ 节目时间轴（Timeline）00:00 导语：打工人的“掏电脑焦虑症”与失眠的应急响应为什么微信回个“收到”不管用？当周报时间撞上跑步时间，重度职场人该如何自救？06:15 重新审视折叠屏：它真的只是“看字更大”吗？过去对折叠屏的刻板印象vivo X Fold6 初上手：它不只是屏幕变大，而是工作方式变了12:40 拒绝伪分屏：两块半屏幕重度用户的“工作流重构”为什么在手机上单一任务的“切换”会带来巨大焦虑？深度拆解 原子工作台：串行流（一屏五用）：左侧 Dock 栏长驻，不打断主心流的无缝环境配置。并行流（四窗口并行）：把一块大屏拆成电脑级的独立窗口，真正实现前端同时运行。23:10 超级个体的“一屏闭环”与硬核摸鱼场景畅想极客/开发者：在手机上同时塞下终端、编写与调试（Vibe coding 的快乐）。重度内容创作者：左边小红书教程、中间修图、右边选图，在沙发上完成 60% 的事务性工作。硬核摸鱼/下饭：如何一边追剧、玩游戏，一边瞟一眼微信瞬间解决突发事务。34:50 微信长文章灾难：分屏功能如何拯救信息的“生殖隔离”从微信公众号点开一篇 15 分钟的长文章，意味着你接下来的 15 分钟要在高管群里“社会性死亡”吗？多级同步与下级菜单多层级导航的 PC 级高级适配。41:15 行业首发 AI 文件管家：重构手机里的“混乱地狱”大厂打工人共同的痛：微信里一堆乱码文件名、文件随时过期无处可寻。AI 赋能下的“存、找、用”闭环：把汇总资料变成专属可提问知识库。49:30 蔡司后置自拍术：不务正业的旗舰计算摄影五个摄像头的豪华配置，大屏折叠化身“后置蔡司镜头”的自拍预览窗口。AI 修图与路人消除：从游客照到“干净壁纸”的一键处理56:45 效率神器：把复杂工作流“一键保存为桌面工作台”一键打包小宇宙、AI 润色、双微信分身，保存成组合应用，每天省下半小时折叠屏适合谁：内容创作者、项目经理、运营、开发者和重度多任务用户01:03:10 折叠屏的第二次进化，不是展开屏幕，而是展开任务打破单屏、单线程的思维局限科技不该制造过载，而应该给你的移动碎片时间提供随时“搞定大任务”的底气

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欢迎收听雪球出品的财经有深度，雪球，国内领先的集投资交流交易一体的综合财富管理平台，聪明的投资者都在这里。今天分享的内容叫资本折叠：港股的困局与美股的狂欢，来自三体人在地球。今年以来，资本市场呈现出一种撕裂的景象：一端是狂飙突进的美股市场；另一端则是长期承压的港股市场。如果你说港股也有涨的很多的公司，那么它们大概率是呼应了美股的某些概念，或者直接是美股AI巨头的供应商。面对这种分化，市场的主流叙事往往将其归结于微观层面的企业能力的强弱。因为美国拥有最前沿的AI技术和最赚钱的科技巨头，所以美股享受高估值；因为中国正处于经济结构的转型期，所以港股面临基本面的阵痛。然而，如果我们将视角从微观的企业视角拉升至宏观的全球资本循环，就会发现这种解释过于单薄。港股和美股的分化，不只是企业基本面的分化，而是两套货币流动性结构的分化：一个被美元周期压制，一个被美元回流放大。而真正的风险，在于当美元体系自身开始承压时，这种分化可能会进入反转。第一部分：港股的宏观枷锁联系汇率制度的诞生与代价港股的疲软，不仅是部分行业盈利周期的下行，更是其底层架构在外部环境下的系统性承压。这个架构的核心，在于其独一无二的“错配”属性。香港资本市场的基石，是确立于1983年的联系汇率制度。要理解这个制度，就必须回到它诞生时那段历史中去。事实上，港元并非一开始就认准了美元。在1935年之前，香港实行的是银本位制；1935年全球爆发白银危机后，作为英国殖民地的香港，顺理成章地将港元与当时其宗主国的货币——英镑挂钩（16港元兑1英镑）。然而，到了1972年，英国经济深陷泥潭，英镑被迫实行自由浮动，港元也随之失去了稳定的锚。为了避免被剧烈波动的国际汇市拖累，香港在1974年正式宣布港元实行“自由浮动汇率制”。而到了1982至1983年间，中英关于香港前途问题的谈判陷入拉锯。巨大的政治不确定性在香港社会引发了信心危机。在自由浮动机制下，港元汇率从1981年的约5.1港元兑1美元，一路狂泻至1983年9月的接近9.6港元兑1美元。危机的顶峰出现在1983年9月24日，史称“黑色星期六”。这一天，恐慌情绪彻底失控，香港市民不仅疯狂兑换美元，还涌入超市抢购大米、食用油和厕纸。部分银行甚至出现了挤提的苗头，整个香港金融系统濒临全面崩溃的绝境。为了在生死存亡之际挽救金融体系，港英政府别无选择，必须寻找一个最强大的“外部信用”来为港元背书。当时的大英帝国早已日薄西山，英镑不再具备全球避险属性。于是，在1983年10月17日，香港政府颁布了“联系汇率制度”——宣布将港元与美元，以 7.80 : 1 的固定比例进行硬挂钩。这是一次 “断臂求生”：香港以彻底放弃货币主权为代价，买入了一份全球认可的信用担保。从历史的后视镜来看，这一制度无疑有成功的部分。它极大地降低了国际资本进入香港的交易成本，奠定了香港作为国际金融中心的地位。然而，“不可能三角”（资本自由流动、汇率稳定、货币政策独立性）法则下，香港为了获得前两者，彻底放弃了“独立的货币政策”。这意味着，香港没有办法根据本土经济、市场的冷热程度自由决定加息或降息、扩表或缩表。香港的货币环境，只能是被动地跟随美国的货币周期起舞。时来天地皆同力随着过去二十年中国经济的腾飞，大量内地企业赴港上市。时至今日，港股市场中超过七成的市值和交易量均来自中资企业。这就造成了港股市场在全球独一无二的结构性特征：分子端（企业盈利）：由“中国经济基本面”决定。上市公司的营收、利润、扩张速度，高度依赖于中国内地的宏观经济周期、产业政策和消费环境。分母端（估值折现率）：由“海外流动性”决定。由于联系汇率制度，外资在为港股定价时，使用的无风险利率锚是美国国债收益率。同时，港股估值也对流动性极为敏感，容易被亚洲其他市场所影响。在太平盛世，当中美经济周期同频共振时，这种错配并不致命，甚至能形成双重共振的牛市。但在过去几年，当中美周期严重错位时，这个宏观机制便成为了沉重的枷锁。因此，当中国宏观数据走弱，叠加美国加息预期，再叠加亚洲其他地区（日韩）股市被AI叙事带动而暴涨，就给香港股市造成了致命的虹吸效应。比起短期的流动性承压，更长期的问题是，这样的流动性结构，几乎注定了一种牛短熊长的宿命。 如果一个市场对流动性没有主动权，对盈利端也没有主动权，那么只有在各种微观和宏观条件共振的特殊时间窗口，这个市场才能实现溢价。而这样的窗口却往往是短暂的，更多时间里这个市场可能会因为流动性问题长期处在低估状态。更致命的是，这样的宏观属性，也深刻塑造了市场主要参与者的风格，从而进一步加强了市场的整体风格。换句话说，港股不是简单低估，而是长期处在一个没有货币主动权、没有本土长期资金充分定价权的市场结构里。时来天地皆同力，运去英雄不自由。也许这就是目前港股的真实写照。第二部分：美元资本循环和美股AI热潮美元体系的运作机制如果说港股是“有资产、无水”的洼地，那么大洋彼岸的美股，则是“水漫金山”的镜像。理解了港股资金的流出，就能更好地看清美股资金的涌入。美股AI热潮，不仅是一次科技股行情，也是美元体系全球资本循环的重要一环。美元体系的核心运作机制，在于“全球资源定价—美元盈余积累—回流美国资产”。全球资源出口国和制造业顺差国在赚取美元后，这些庞大的美元储蓄必须寻找安全、流动且容量巨大的金融资产进行投资。这就构成了美债和美股的底层买盘。在疫情后的周期中，美国通过几轮极其激进的财政刺激，向全球输出了巨量美元。随后，美联储又开启了极其陡峭的加息周期。高达5%以上的无风险基准利率，将游荡在欧洲、日本、新兴市场的资本吸回美国本土。这就形成了一个巨大的资本“堰塞湖”。如此庞大的回流资金，如果仅仅停留在短期国债里，则无法满足资本长期增值的诉求。因此，面对这样的资本回流，美国资本市场亟需一个故事，一个值得全球资本长期锁定的故事。资本循环借壳生产力革命从宏观角度来看，AI不仅是一项技术，更是填补美元资产“成长性预期”的最佳叙事。美国需要向全球证明：尽管面临通胀、制造业空心化和地缘政治的挑战，但美国掌握着下一代先进生产力，美国的企业拥有最宽阔的护城河，因此全球资本继续以高溢价配置美股是合理的。从微观产业特征来看，AI的基础设施建设（如算力集群、数据中心）具有资本密集型特征。无论是英伟达的GPU芯片，还是微软、谷歌动辄数百亿美元的数据中心投入，都需要巨量的资金支持。这就形成了一种绝妙的宏观与微观的“相向而行”：回流美国的巨量美元流动性需要一个能够吞吐天量资金的庞大资产池；而AI产业的早期基建，恰恰需要大量的资本浇灌。资本与技术，在这一刻达成了完美的相互成就。当理解了上述逻辑，我们才能看懂美股AI热潮中最为核心的“正反馈循环”机制：1. 叙事推高估值：AI的生产力革命叙事，促使全球被动资金和主动管理机构不断买入美股科技巨头。2. 估值创造融资能力：极高的股价和市值，压低了这些科技企业的股权和债务融资成本。3. 融资转化为真实Capex：科技巨头利用廉价的资金，或者通过复杂的表外结构，将海量资金投入到上游硬件和基础设施中。4. Capex验证叙事：上游硬件厂商（如英伟达、光模块企业、电力设备商）因此获得了实打实的爆炸性订单和利润增长。5. 利润再次推高股价：超预期的财报发布后，进一步坐实了AI的确定性，引发新一轮的资金涌入。换句话说，这是一种典型的货币现象借壳科技革命叙事的现象，底层其实是一套资本循环的机制。我们不能否认AI这场生产力革命，也并非全盘否定AI产业链带来的巨大价值，正如我们在中国房地产的扩张时期也无法否认城镇化的大趋势。然而，这不代表这个叙事背后隐藏的资本循环链条是合理的。第三部分：美元盛世的暗礁“新特里芬难题”再回顾在美股AI狂欢的盛宴背后，整个美元资本循环体系似乎正面临着挑战。这种危机并非短期的股市回调，而是触及了“美元信用”这一核心底座。早在上世纪60年代，经济学家罗伯特·特里芬就指出了美元作为全球货币和金本位之间的矛盾。而在金本位崩塌之后，学界进一步提出了新特里芬难题，即美元同时作为美国本国货币和作为全球货币的内生矛盾。为了充当全球贸易的基石，美国必须向全球源源不断地输出美元。这意味着美国必须长期保持巨额的经常账户逆差。在这个体系下，美国确实获得了巨大的金融特权：它可以用自己发行的“金融负债”（美元、美债、美股），去交换全球制造业大国和资源国的“真实财富”（矿产、商品、能源）。然而，随着全球经济总量的增长和贸易的繁荣，世界需要越来越多的美元流动性，美国的对外负债就必须呈指数级膨胀。但致命的悖论在于：美国的国家信用（即其本土的税收能力和经济体量）是有限的。当为了满足全球流动性而累积的美元负债，庞大到超越了美国本土主权信用所能覆盖和兑付的极限时，这套资本循环的底座就会迎来崩塌。这才是当前去美元化暗流涌动的真正逻辑。全球央行系统性地增持黄金，并不是单纯出于对某场地缘冲突的政治表态，而是基于一个关于资产负债表的考量：美国主权信用还能否支撑起如此庞大且仍在加速膨胀的负债端呢？伊朗战争的冲击而就在美国负债水平居高不下，Trump试图通过关税战缓解问题却最终无功而返的时候，当下接近尾声的这场伊朗战争，可能将成为一个深刻的历史转折点。它给宏观格局带来的冲击，可以分为三层：第一层，是战争对全球供应链与通胀的冲击。能源价格的狂飙通过航运运费、化肥及化工原料向下游传导，导致全球通胀预期大幅反弹。第二层，是通胀预期将美联储逼入了“滞胀”与“高息”的货币政策死角。面对战争引发的输入性通胀，美联储陷入了进退维谷的境地。原本市场寄希望于美联储通过降息来缓解债务压力和科技股的高估值风险；但在能源通胀的倒逼下，美联储被迫释放加息预期。第三层，在于那份带有“赔款”性质的停战协议对美元信用的永久性损害。为了换取霍尔木兹海峡的重新开放，当前传闻是，美国不仅解冻了伊朗巨额资产，更承诺提供高达3000亿美元的所谓“战后重建基金”。如果最终事实如此，这标志着美元信用的一大支柱——美国的全球军事能力，将会开始被怀疑。然而，尽管我们目前似乎已经可以看到美元的衰败征兆，但我们也必须承认，当下时点美元和美债作为全球货币和无风险资产锚点，似乎还没有太好的替代品。但是，正如在2007年时没人能预测到金融海啸如何爆发，今天我们只能判断这套系统的脆弱性在加强，但真正的危机从来只会在市场意想不到的地方以意想不到的方式爆发。而一旦这样的改变发生，带来的将是全球资本市场甚至是国际秩序的大重构。第四部分：港股的突围之路治本之策：货币机制的演进在详尽剖析了美元与美股之后，让我们重新把视线拉回港股。面对美联储的周期摆动和潜在的国际金融动荡，港股难道只能永远充当被动挨打的“流动性提款机”吗？要走出泥潭，港股必须在战略上进行根本性的调整。如前文所述，港股困境的根源在于“中国资产 + 美元流动性”的宏观错配。从长期来看，破局的终极方案无疑是逐步改变货币挂钩机制。随着人民币国际化的推进，探索将港元的锚定物从单一美元转向以人民币为基础的一篮子货币，是不可回避的战略命题。但这注定是一条漫长的道路。在人民币实现资本项目完全可兑换之前，冒然动摇联系汇率制度，不仅可能引发剧烈的资本外逃，甚至会危及香港自身的金融稳定。因此，远水解不了近渴。“AH融合”的深意与未来定价权真正的破局迹象，隐藏在近期释放的政策信号中。在2026年的陆家嘴金融论坛上，中国证监会等部门释放了极其明确且深远的信号：不仅进一步完善沪深港通机制，更明确表态支持符合条件的港股上市公司在境内发行上市。同时，与会专家也提出要联合编制覆盖沪深港的综合及科创行业指数。在传统的割裂状态下，同一家优质的中国企业，在A股享受着国内充裕流动性带来的合理估值，在H股却因为海外流动性的干涸而惨遭错杀。通过鼓励港股公司回A，或者A股公司赴港，辅以更加畅通的互联互通机制，监管层实际上是在致力于打通两个水池之间的无形壁垒。这一战略的核心逻辑在于：用人民币流动性，去稀释外资在港股定价权上的垄断地位。当更多的企业实现A+H双重上市，当跨市场套利机制变得足够平滑时，港股的估值体系将被逐步拉回至中国经济本身的内在价值，而非单纯受制于美联储的利率指挥棒。在未来可能爆发的风险面前，建立一个以内需为基本面、以人民币流动性为核心支撑、同时保持高度国际化接口的A+H资本市场，是防范金融风险最有效的防火墙。尽管价值投资倡导研究公司的微观基本面，然而在如今世界的变局中，资产的长期发展，仍受到宏观结构的深刻影响。因此，我不是想夸大宏观因素的影响，只是反对将所有的涨跌问题，都被动地归因为公司的基本面问题，而忽视市场背后的宏观结构问题。上述的关于港股和美股的看法，纯属个人观点，不一定对，也不构成投资建议。但是几乎可以肯定的是，一次范式转移级别的重构，可能越来越近了。

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AIが急速に浸透する世界で我々はどうやって生きていけば良いのか。真面目さと不真面目さの間くらいで考えています。by 自己紹介も宣伝も一切しない日常徒然より 今回はこんな話をしています・AIとネットの星評価の基準の限界・簡単に手に入るものなどない・ デザイナーから見たAI ▼音声コンテンツ「或る駅」もぜひ聞いてみてください。特設サイト：https://arueki.carnation.jp/Apple Podcasts：https://apple.co/3REZT0kSpotify：https://sptfy.com/Qcjd ▼関連リンクWEB：https://www.carnation.jp/Instagram：https://www.instagram.com/smncarnation/YouTube：https://www.youtube.com/@hi_nichijo

Thank you for listening to Write On! Audio, the podcast for writers everywhere brought to you by Pen to Print. In our Write On! Audio And Friends episode for June we're sharing an original audio drama, ‘Notes From Dad's Room' by Carole Pluckrose. ‘Notes From Dad's Room' was written by Carole Pluckrose and starred Carole Pluckrose and Ria Knowles. It was recorded at Boathouse Studios in Barking, London. The script for ‘Notes From Dad's Room is copyright Carole Pluckrose and may not be reproduced in whole or part except with the author's written permission.This audio drama is dedicated to Edgar, Anne and Sheelagh.Script editors were Claire Steele, Jill Glen and Constellations Consultancy.  Carole lives and works as a creative practitioner in Barking and is a long standing friend and collaborator of Pen to Print. You can follow her on Instagram here ⁠ https://www.instagram.com/celebrantcarole/All content associated with this podcast in audio and in print is protected and may not be copied or used for any purposes including generative AI/AI training. We're always delighted to read your contributions so if you'd like to see your words in Write On! or hear them on this podcast please get in touch. Please submit to: https://pentoprint.org/get-involved/submit-to-write-on/ Thank you for listening to Write On! Audio.  This edition has been presented and produced by Chris Gregory.  Write On! Audio is an Alternative Stories production for Pen to Print. This podcast is produced using public funding from Arts Council England. 

從行銷成長、內部管理到組織轉型，大家都知道 AI 很重要，卻不一定知道該從哪裡開始，更不知道哪些工具、技術與解決方案真正適合自己的企業。 由《數位時代》未來商務主辦與創業小聚協辦的 2026 AI TAIWAN 未來商務展，今年以「All in AI」為主軸，希望不只是談 AI，而是協助企業找到 AI 與自身商業問題之間的連結。 本集特別邀請 AI TAIWAN 未來商務展兩位策展人——內容策展人郁竹與共同策展人舒婷，帶領大家從策展人的視角，搶先掌握今年展會最值得關注的亮點與趨勢。 如果你正準備前往 AI TAIWAN 未來商務展，或想知道企業該如何將 AI 真正導入工作與商業場景，本集將帶你用策展人的視角，一次掌握展會重點。 【本集精彩內容深度解析】 AI TAIWAN 想解決什麼問題：當企業已經知道 AI 很重要，卻不知道如何落地，展會希望扮演什麼角色？ All in AI 的策展思維：從行銷成長、內部管理到數據治理，今年展會如何圍繞企業真實痛點規劃展區？ 國際與產業亮點搶先看：從日本、東南亞到北美來自七國共40多個團隊，今年有哪些值得關注的 AI 解方與技術趨勢？ 三大論壇主軸一次看：AI for Efficiency、AI for Growth、AI for Innovation，企業不同階段該關注哪些關鍵議題？ 百工百業都在用 AI：從拉亞漢堡、華夏玻璃到智慧工廠與行銷科技的實戰案例，不同產業分享如何將 AI 真正導入第一線工作場景？ 看展不迷路攻略：九大觀展路線、LINE 導覽工具與策展人私房推薦，如何用最有效率的方式逛完整個展會？ ✨ 關於 AI TAIWAN： http://ai-taiwan.com.tw/

Allie Miller is the number one most-followed voice in AI business and an advisor to Fortune 500 companies , and she's on Money Rehab to tell us that most people are leaving serious money on the table by treating AI like a productivity tool. Today, Allie joins Nicole to break down exactly how to use AI as a wealth strategy in 2026 and beyond. Allie pulls back the curtain on her AI workforce (34 agents named after Friends characters) and explains why delegation is now a financial strategy, not just a productivity hack. She and Nicole dig into the most important question everyone has right now: what's safe to share with AI, and what isn't? From feeding Claude your insurance policy after a disaster, to connecting AI directly to your investment accounts, Allie lays out how to think about risk and leverage when it comes to your financial data. They also tackle the hard questions about kids and AI: AI companionship dangers, AI toys, age limits, whether college is even coming back, and why "AI scams are the new white vans." Finally, Allie shares her honest, unfiltered take on investing in AI companies, why she's long-term bullish, and the bold predictions people are calling her crazy for making today. Check out Nicole's financial literacy course The Money School Find a Financial Advisor or Financial Coach from Nicole's company Private Wealth Collective Watch video clips from the pod on Money Rehab's Instagram and Nicole Lapin's Instagram Follow Allie Miller on LinkedIn and Instagram Here's what Nicole covers with Allie:  00:00 Are You Ready for Some Money Rehab? 01:13 Allie's AI Workforce Explained 04:00 How to Build Your Own AI Workforce (No Coding Required) 06:40 What AI Still Can't Replace 10:00 Meet Simon, Rachel, Phoebe and the Rest of the Team 12:03 What to Always (and Never) Outsource to AI 18:30 AI Data Privacy 22:48 Customizing AI With Your Personal Context 31:43 Kids and AI: Raising a '90s Kid in 2026 38:10 What Age Should Kids Start Using ChatGPT or Claude? 44:52 How to Hack AI Sycophancy 47:25 Where Allie Draws the Line on AI Companionship 52:20 Using AI to Manage Investments 57:00 Will AI Replace Financial Advisors? 01:00:13 When Will We Be Working With Humanoids? 01:05:15 Investing in AI Companies and the Bubble Debate 01:09:45 Allie's Boldest Predictions 01:14:22 Allie Miller's Tip You Can Take Straight to the Bank All investing involves the risk of loss, including loss of principal. This podcast is for informational purposes only and does not constitute financial, investment, or legal advice. Always do your own research and consult a licensed financial advisor before making any financial decisions or investments.

Today's Post - https://bahnsen.co/4vxzpNy David Bahnsen hosts the Monday Dividend Cafe from Grand Rapids during the Acton Institute Symposium, noting a relatively quiet day that allows more market focus. The Dow rose 148 points while the S&P fell 0.37% and the Nasdaq dropped 1.33% amid weakness in communication services and mega-cap names. He highlights strong year-to-date energy performance, surprising small-cap outperformance, and argues much of the market's gain is concentrated in AI/AI-adjacent and energy. Bahnsen cites speculative behavior in the SpaceX IPO, including extreme trading volume, limited float, and a sharp decline from recent highs. Bonds sold off with the 10-year at 4.51% and the 2/10 spread flattening to 28 bps from ~80 bps. He shares an anecdote about Allbirds rebranding to “Smartbird” to pivot to AI, covers UK political instability, Iran-US talks, pending US housing legislation, mortgage rates, Fed hike probabilities, Alan Greenspan's death at 100, and oil falling to $75.19 as Hormuz uncertainty persists. 00:00 Welcome and agenda 01:24 Market close snapshot 02:19 Sector leadership and breadth 03:06 Small caps surprise strength 03:49 SpaceX IPO mania 06:23 Rates and yield curve shift 07:13 AI bubble anecdote 08:57 UK politics and US policy 09:59 Fed odds and Greenspan 11:08 Oil and energy outlook 12:06 Wrap up and reminders Links mentioned in this episode: DividendCafe.com TheBahnsenGroup.com

AI 到底要不要报班学？孩子用 AI 写作业算不算偷懒？当一个 14 岁的初中生已经开始同时调度多个 AI agent，大人还该不该继续扮演那个“全知全能”的老师？这是一场关于 AI 教育的圆桌，但聊到最后，它真正触碰的是一个更底层的问题：在一个答案越来越容易获得的时代，孩子最不能丢掉的，反而是知道自己想要什么、为什么要问、如何判断，以及如何为自己的成长负责。本期节目来自中关村论坛期间 AI 原点社区的 Party Nights 系列活动现场。主持人与四位背景各异的嘉宾一起，从孩子们现场使用 AI 的观察聊起，讨论了家长焦虑、AI 报班、作业边界、审美与创造力、主体性，以及大人什么时候该学会放手。和常见的圆桌讨论不同，这不是一场“AI 工具推荐会”。恰恰相反，几位嘉宾反复把讨论从工具拉回到人本身：AI 当然会越来越强，但真正决定孩子能走多远的，可能不是会不会写 prompt，而是有没有好奇心、目标感、审美判断、逻辑架构能力，以及在挫折中继续往前走的韧性。【本期嘉宾】主持人：王晗，AI 不神秘创始人Claire，大众媒体文化解析博主于兰，中学教师简江，AI 不神秘首席课程官姜睦然，北京中学初二学生，“中关村虾王”【关于 嗨点小圆桌】2026年中关村论坛期间，海淀区人工智能主题日场外氛围活动“原点Party Nights”在AI原点社区举办，开启了“嗨点小圆桌”音视频播客节目。这是一档“海淀和Ta的朋友们”的深度对话节目，将邀请人工智能主题日核心论坛嘉宾、AI热点人物一同探讨AI青年关心的热点话题，欢迎大家收听观看体验。【制作团队】后期 / 卷圈封面 / 姝琦运营 / 卷圈监制 / 姝琦产品统筹 / bobo场地支持 / AI 原点社区【联系我们】希望大家在听友群和评论区多多反馈收听感受，这对我们来说十分重要。欢迎添加津津乐道小助手微信：dao160301，加入听友群。【关于「津津乐道播客网络」】在一派纷繁芜杂里，我们为愉悦双耳而生。科技、教育、文化、美食、生活、技能、情绪……严肃认真却不刻板，拒绝空泛浮夸。与专业且有趣的人携手缔造清流，分享经历，传播体验，厘清世界与你的关系。津津乐道 | 科技乱炖 | 津津有味 | 记者下班 | 不叁不肆 | 厂长来了 | 编码人声 | 沸腾客厅 | 拼娃时代收听平台苹果播客 | 小宇宙App | Spotify | 喜马拉雅 | 网易云音乐 | QQ音乐 | 微信听书 | 荔枝FM | 央广云听 | 听听FM | Sure竖耳App | Bilibili | YouTube联系我们津津乐道播客官网 | 公众号：津津乐道播客 | 微信：dao160301 | 微博：津津乐道播客 | 商业合作：hi@dao.fm | 版权声明 | RSS订阅本节目由「声湃 WavPub」提供内容托管和数据服务支持。

本集節目由《經理人》總編輯齊立文，邀請到優勢科技USPACE的 AI 長曾明賢，分享推動組織 AI 轉型的實戰經驗。當大家都知道 AI 很重要，為什麼組織在推動 AI 轉型時，總是推不動、看不見成效？到底是員工不想學，還是主管帶不動？曾明賢在USPACE上工的第一天，沒有豪華辦公室，直接被「丟」進客服部門救火。他透過在公司內部「巡迴解題」，幫同事消滅每周最討厭的雜務，讓對科技冷感的同仁主動敲碗學 AI。這集實戰指南，將帶你找到組織 AI 轉型的全新破局點！

If you haven't heard Part 1 yet, start there first.  Part 1 laid out what's happening and named some truly wild predictions. Part 2 answers the question that actually matters: given all of that, what do you do? With your money. With your career. With your mindset. And with the fear that many people feel right now. In this episode: One prominent thinker predicted we're heading toward an "emotional pandemic" driven by the pace of AI change. Not a technological failure, but an emotional one. The United States is the most pessimistic country about AI. What does that tell us, and is the fear proportionate to the actual risk? If your income is less certain and your career is harder to predict, do the fundamentals of financial planning actually change or do the old principles hold? 55% of Americans now use AI to help manage their finances, up from 10% just a year ago. How good is that advice and what are the risks most people aren't thinking about? The research on this is more surprising than you'd expect The traits that matter most in an AI-disrupted world and what it means financially to invest in yourself right now Our honest gut reactions to where all of this is heading. Not the CFP® answer or the advisor answer, the human one The one thing each of us would tell you to do differently this week because of everything we discussed across both episodes Finally, we're thrilled to announce that we are building Finerate: a financial education community for people who are ready to move from financial anxiety to financial confidence. Join the waitlist at getfinerate.com. Check out our previous episodes on AI: AI in 2025: What's New, What's Next, and What It Means for You, Part One AI in 2025:  What's New, What's Next, and What It Means for You, Part Two 2024 - Navigating the AI Revolution: Insights for Investors and Workers, Part One 2024 - Navigating the AI Revolution: Insights for Investors and Workers, Part Two 2023 - Are You Prepared for the AI Revolution?

【本集節目由 HBR個案共學會 贊助播出】

In today's episode of Moneycontrol Tech3, we unpack Reliance's push to make AI more affordable and accessible through a new suite of India-focused AI products, alongside strong growth ahead of a potential public listing. We also dive into Meta's talks to invest in Kunal Shah-led Cred at a valuation of around $4 billion and what that could mean for India's payments ecosystem. Plus, why India is becoming central to Meta's global AI infrastructure plans, and how L'Oréal's Rs 4,000 crore acquisition of Innovist could hand founders nearly Rs 1,800 crore and deliver bumper returns to early investors.

「生成AIで「効率化」7割が回答　削減時間は1日あたり75分」　企業での導入が進む生成AI（人工知能）ですが、実際に業務時間の削減という成果がもたらされているようです。マーケティングリサーチ大手のマクロミルが、仕事で生成AIを活用しているビジネスパーソン約3000人を対象に行った生成AIの活用実態調査によりますと、業務で生成AIを活用している人のうち、実際に作業時間が削減できたと回答した人は約70％に上りました。削減時間は平均で約16％で、8時間勤務に換算すると1日あたり75分ほど効率化したことになります。職種別では営業やマーケティングといったフロント・企画系が82分、人事・総務などのバックオフィス系、IT・クリエイティブ系が73分の削減でした。その「浮いた時間」は、実際どのように使っているのでしょうか。最も多かったのは「以前は手が回らなかった別の業務や雑務」、次いで「AIが出した回答の検証や修正などAIを活用するための作業」、その他、AIではなかなか難しい「創造性、感性を伴うような業務」や、「意思決定」、さらに「リスキリングなどの自分磨き」や「部下の育成」などに時間を有効活用しているのも注目すべき点です。

張炤和

AI 发展太快了，快到我们几乎所有的目光都追着最前沿的模型跑。但在这几年追逐热潮的过程中，我开始对它底层的东西产生了好奇：AI 是如何一步步进化到今天的？驱动它的那些硬件，又是从哪里来的？ 带着好奇，我开始读《芯片简史》。这本书从 1947 年晶体管的原理讲起，一路走过集成电路、逻辑/存储芯片，一直到今天的 GPU 与 AI 芯片。它不只是一部技术史，更是一部关于创新如何被忽视、被压制、又最终爆发的故事集。读完这本书，我最大的感触是：我们今天在 AI 时代里看到的一切，六七十年前都以相似的方式发生过。但历史不是简单的重复，但它藏着创新最底层的逻辑——而那些逻辑，在今天依然在运转。 这期节目，我请来了《芯片简史》的作者汪波老师，与他聊了聊书里哪个故事最让他动容；他如何理解破坏性创新与创新者的窘境；以及站在这六七十年的历史面前，他怎么看 AI 的未来。 本期人物 Yaxian，「科技早知道」主播 汪波，资深芯片研究专家，科普作家，《芯片简史》作者 时间轴 [01:21] 晶体管数量 10 年翻 1000 倍？没人相信摩尔定律是真的！ [08:14] 摩尔定律不是定律，是一个自我实现的预言 [08:45] 「韬定律」的质疑：它是新时代的摩尔定律吗？ [16:27] 半导体的未来：更多摩尔，不止摩尔，超越摩尔 [20:07] MOS 晶体管被雪藏了十年 -- 什么是「破坏性创新」？ [31:18] 大公司无法避免「创新者的窘境」吗？ [36:00] 黄仁勋的口头禅："我们的现金流只能支撑 6 个月" [37:11] AI for 半导体：芯片工程师会被替代吗？ [47:57] 技术在变，人的情绪反应没有变：既不要过于乐观，也不要陷入恐慌 [50:48] 在 AI 时代，人的不可替代性在哪里 AWS 上海线下活动观众/嘉宾招募 幕后制作 监制：Yaxian 后期：迪卡 运营：George 设计：饭团 商业合作 声动活泼商业化小队，点击链接直达声动商务会客厅（https://sourl.cn/9h28kj ），也可发送邮件至 business@shengfm.cn 联系我们。 加入声动活泼 声动活泼正在招聘全职商务运营经理、早咖啡内容实习生和社群实习生，如果你也对播客行业的内容制作感兴趣，欢迎[点击招聘入口](https://eg76rdcl6g.feishu.cn/docx/XO6bd12aGoI4j0xmAMoc4vS7nBh?from=from_copylink) 关于声动活泼 「用声音碰撞世界」，声动活泼致力于为人们提供源源不断的思考养料。 我们还有这些播客：声动早咖啡、声东击西、吃喝玩乐了不起、反潮流俱乐部、泡腾 VC、商业WHY酱、跳进兔子洞 、不止金钱 欢迎在即刻、微博等社交媒体上与我们互动，搜索 声动活泼 即可找到我们。 期待你给我们写邮件，邮箱地址是：ting@sheng.fm  欢迎扫码添加声小音，在节目之外和我们保持联系。Special Guest: 汪波.

問：澳洲工會為何先反對AI，後來又改口呼籲建立本土AI？答：澳洲工會理事會最初以AI威脅就業為由，向企業施壓要求三年不裁員、提供強制再培訓。然而秘書長麥克馬納斯後來發文改變立場，轉而要求政府建立本土人工智慧以抵制美國科技巨頭。這種轉向的本質是把「排外」包裝成主權論述，卻始終迴避了AI對就業衝擊的根本問題——誰擁有AI，並不等於誰的工人不受影響。問：Daron Acemoglu的「工人友善AI」原意是甚麼，澳洲工會的引述有何問題？答：Acemoglu在《權力與進步》中主張，AI帶來的生產力提升應由政府、業界和工人透過體制設計共同分享，而非由少數資本家獨佔。澳洲工會斷章取義地引用「擴展人類能力」這句話，卻略去了制度設計的核心問題——最終結論是，只要AI是「本土的」就算工人友善。這個邏輯混淆了AI的所有權與AI收益的分配，兩者根本是不同的問題。問：為甚麼「本土AI策略」對開放市場而言是自相矛盾的？答：資訊和資本都沒有國界。澳洲的AI新創企業最終要嘛被美國資金收購，要嘛赴美上市，「本土」屬性旋即消失。唯有像中國那樣通過主權圍牆強制隔絕外部競爭，才能孕育出本土AI生態。這對仰賴開放市場的澳洲而言，是一個根本無法接受的前提。澳洲真正的選擇不是「本土對抗外資」，而是在全球AI競賽中找到自身的比較優勢定位。問：AI採用率偏低的根本原因是甚麼？Google的澳洲調查有何發現？答：Google澳洲董事總經理的研究指出三大障礙：企業靜觀其變、把AI強行嫁接到舊有工作流程（而非讓流程去配合工具），以及領導層不帶頭示範。調查發現只有25%的受訪者表示老闆鼓勵使用AI，75%則否。這個數字說明AI生產力提升的最大阻力不在技術，而在企業文化的頂層是否願意先改變自己。問：Canva的故事如何說明AI時代的競爭結構？答：Canva當年靠平易近人的設計工具打破Adobe的壟斷，是SaaS時代的顛覆者。AI圖像生成工具崛起後，幾句指令便能產出媲美Canva的設計，令其估值急跌，上市計劃遙遙無期。這個案例說明科技競爭的窗口轉移極快——一個技術時代建立的護城河，在下一個浪潮中可以迅速被侵蝕，澳洲比新加坡晚三年制定AI國家框架，就是這種代價的縮影。問：從工業化到AI時代，「轉行」在個人、企業和國家三個層面的難度差異是甚麼？答：個人轉行相對靈活，一個工廠工人可以轉型為服務業、地產或金融業，香港工業北移後的一代人便是例子。企業轉型難度更高，需要重塑內部流程和文化，SAP案例正好說明技術採用如何被人的習慣所抵消。國家層面的轉型難度最大，因為涉及制度、政策、教育、產業政策的系統性協調，而政客的短期利益往往與長期轉型的代價相矛盾。工會呼籲建立本土AI，在某程度上正是這種「轉型困難」的防禦性反應。 This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit leesimon.substack.com/subscribe

欢迎收听雪球出品的财经有深度，雪球，国内领先的集投资交流交易一体的综合财富管理平台，聪明的投资者都在这里。今天分享的内容叫关于顺丰控股生意模式的思考，来自复和。对于顺丰控股这个标的，主流观点认为公司是好公司，就是生意模式不好，重资产、需要管理数量庞大的员工，过去这些年我一直也是这么认为的，实际上当下顺丰的低估值可能一定程度上也是在反映这一点，但股票投资投的毕竟是未来，我觉得应该思考的问题是顺丰能否从当下这种比较苦的生意模式蜕变成一种资产更轻的生意模式，这种前瞻性思考还是有意义的，这样就清楚以后可以从哪些方面来观察顺丰这个公司，当生意模式的变化来临时，也许公司估值也不是当前这个价了，分别从固定资产和员工两个维度进行分析。首先看固定资产，公司2025年年报固定资产总额是519.22亿，根据年报，房屋及建筑物约262.9亿，占比50.6%，运输工具约23.1亿，占比4.4%，计算机及电子设备12.8亿，占比2.5%，飞机及相关零件98.7亿，占比19%，机器设备101.6亿，占比19.6%，办公设备及其他设备20.1亿，占比3.9%，房屋和飞机相关资产是大头，合计占了固定资产的近70%。房屋及建筑相关资产其实可以通过装进reits出表，顺丰房托作为reits产品的管理者收取管理费，这个事情顺丰已经在做，飞机资产可以出售给关联租赁公司然后租用，比如王卫在顺丰体外设置租赁公司，顺丰将飞机出售给该租赁公司然后再向其租用飞机，租赁公司可以拿着飞机向银行借款，这样也可以实现飞机资产的出表且不失去对飞机的控制权，这两项如果都彻底完成的话，顺丰的固定资产可以从当前的519亿降低至157.62亿，摇身一变成了一个轻资产公司。再看另一个重包袱—员工开支，2025年年报中人工成本高达1297.8亿，约占营业成本的48.57%，顺丰的人工成本开支接近净利润的11.68倍，也就是说公司股东每拿走1元，需要给员工11.68元，A股上市公司里员工开支和归母净利润如此高的比例恐怕难找到第二家，但是好在这两年我国开始进入AI和机器人发展的高速通道，AI和机器人技术的发展使命分别是对白领员工和蓝领员工的替代，理论上员工开支/净利润比例越高的公司具有越强的动力去使用AI和机器人技术，试想，这1297亿的人工成本只要省出10%，公司利润就能翻一倍，这是多么恐怖的提升，所以，A股市场恐怕很难找到像顺丰这样对AI和机器人应用高度渴望的公司，而AI和机器人的应用普及未来也会是顺丰生意模式变轻的关键。当然，上面只是列出顺丰生意模式未来变得越来越轻的途径，并不是想说这种变化已经发生，现在就应该给多高的估值，只是说这种变化对于顺丰而言确实是一个趋势，一旦变化完成，顺丰大概也不是现在这个价了，想要投资顺丰这家公司，还是需要密切跟踪顺丰在上面三个维度的变化。

張炤和 張甄薇 姚惠珍 黃敬平

【本集節目由 HBR個案共學會 贊助播出】

HBR 訂戶共讀小聚#9【凝聚力的科學：讓團隊一起贏！】

AI is changing jobs, businesses, and leadership faster than most people realize. AI expert Mike Ruska explains what happens next—and how to stay ahead. Artificial Intelligence is transforming the future of work faster than ever before. In this episode of Eyes Wide Open, AI technologist Mike Ruska explains how AI is changing jobs, leadership, business, and the global economy. Will AI replace workers? What skills will matter most in the future? How can leaders and employees adapt to an AI-first world? Mike shares practical insights about AIQ, authentic intelligence, human-first leadership, AI productivity, AI automation, and the opportunities that are emerging as artificial intelligence becomes more powerful. Whether you're an employee, entrepreneur, manager, business owner, or simply curious about the future of AI, this conversation will help you understand where technology is heading and how to prepare for what's next.   Topics covered: • AI replacing jobs • Future of work • AI leadership • AI and business • Human-first AI • AI productivity • AI career advice • AI layoffs • AI automation • AI skills for the future • ChatGPT and AI tools • Artificial intelligence trends Subscribe for more conversations about mental health, technology, culture, leadership, and the future of society. In this episode, you'll learn Will AI Take Your Job? The Truth Nobody Wants to Admit Chapters: 0:00 - The Human-Centered AI Shift 1:00 - How AI Democratizes Tech & App Creation 4:23 - Unlocking Collective Intelligence with AI 7:18 - Vibe Coding & Democratizing App Development 8:23 - Economic Implications & AI's Impact on Jobs 12:50 - The "Human-AI Sandwich" Explained 17:40 - Tech Layoffs, AI, and Economic Shifts 20:07 - Redefining Leadership in the Age of AI 33:08 - Building Your AI Literacy & Understanding Agents 39:00 - AI's Environmental Footprint: Myths vs Reality 43:19 - Launching Baryons: The Human-First AI Platform   Guest Bio  Mike Hruska is an AI technologist who advocates for human-centered design in a rapidly changing world. By focusing on the intersection of human intuition and artificial intelligence, Mike aims to democratize tech and foster collective intelligence. He is the creator of the Baryons platform, which supports leaders through reflection and real-time feedback. Our Mission Eyes Wide Open is a space for honest communication. Our goal is to remove the stigmas around mental health, holistic lifestyles, culture, and free speech so you can show up as your authentic self with your eyes wide open. By having real conversations about difficult truths, we move toward collective healing. Find Michael Hruska here: Instagram: https://www.instagram.com/mybaryon  TikTok: https://www.instagram.com/mybaryon  LinkedIn: https://www.linkedin.com/in/mikehruska/  YouTube: https://www.youtube.com/@MyBaryon  Website: https://baryons.com/  Find Nick Thompson here: Nick Instagram: https://www.instagram.com/nthompson513/    UCAN Instagram: https://www.instagram.com/the_ucan_foundation/       YouTube: https://www.youtube.com/@EyesWideOpenContent       LinkedIn: https://www.linkedin.com/in/nickthompson13/        UCAN Foundation: https://theucanfoundation.org/      Website: https://www.engagewithnick.com  

对话框里的AI脱离屏幕，进入了复杂和颠覆的真实环境；从前冰冷的机器与设备，开始进化成为拥有感官的「生命体」。从数字空间迈向物理世界，AI面临的挑战早已不只是云端算力与大模型的较量。每一次微小的物理扰动，都要求系统在毫秒甚至微秒内完成感知、决策与反馈的闭环——这种高效端侧感算能力，正是AI打破虚拟边界的关键。本期节目，我们邀请到SENASIC琻捷创始人、CEO李梦雄，以及纪源资本合伙人陈于思，共同探讨物理AI时代端侧感算的进展与前景。当前物理AI面临哪些主要挑战？从汽车到储能、具身智能等物理AI的核心领域，SENASIC琻捷为何能够不断延展其底层能力的应用边界？企业突破了哪些技术难关、从而实现高精度与低功耗的平衡？在全球化挑战下，中国硬科技企业怎样进一步构建深厚壁垒，并定义未来行业标准？02:03 SENASIC琻捷的名字哲学05:14 从客户价值思维，形成三大核心产品线11:13 跨越汽车、储能、具身智能背后的底层平台13:38 从信息AI到物理AI，投资视角下的平台能力17:20 在产品与供应链上的布局逻辑20:10 “Physical AI未来的最大落地点一定是中国”25:25 硬科技创业后半程的制胜之道30:30 芯片公司出海是一个系统性工程35:11 成为一家“有力度、强度、温度的公司”《创业内幕》粉丝群已经开通，在这里，你可以跟节目制作人/主持人直接沟通，也可以第一时间了解到纪源资本线下活动动态，见到纪源资本的投资人，结交其他互联网圈子里的小伙伴。 入群方式：1）添加微信号“JiyuanFans”为好友，并在好友请求中标注“创业” 2）把你的全名和职称发给创业小助手；如果您想约访谈，请添加小助手微信，并附上访谈嘉宾简介，小助手将帮您对接。

The ethics of AI in design are stirring up more drama than a reality TV reunion, so Michelle and your favorite AI auntie, Lauren deVane, are diving headfirst into what's helpful and what's misdirected rage. Get the inside scoop on creative boundaries, data centers, and why bullying local businesses for using ChatGPT is officially "out." This conversation unpacks how to actually use AI without losing your mind — or your moral compass.   Lauren deVane, also known as @youraiauntie is an ex-Ulta Beauty social creative director turned creative futurist and AI educator. She's taken her 10+ years of creative marketing experience and is now helping visual creatives, marketers, entrepreneurs, and brand builders on how to integrate AI into their existing workflows ------------------------ In today's episode, we cover the following: Public perception vs. reality of AI in June 2026 The realities of data centers Ethical dilemmas in tech use Concerns about AI misuse in the US AI safety and video editing advancements Setting boundaries with clients AI vs designer and photographer debate Iterative prompting and accuracy concerns with generative AI AI and modern surveillance Future of Smart Glasses AI and neurodiversity opportunities Getting good content from AI Questioning the authenticity of scripted content Build a community presence ---------------------- RESOURCES: FOF100OFF for $100 off fofcourse.com AND KMA30OFF gets them $30 off Prompty Poppins https://bemusedstudio.myflodesk.com/prompty Episode 216: AI for Brand Designers with Lauren deVane Episode 192: Authenticity and AI with Lauren deVane Episode 162: Leveraging AI Tools for Innovative Marketing with Lauren deVane ---------------------- Guest info: To learn more about Lauren and her distinct style, follow her on Instagram @YouAIAuntie, or visit her websites, FOFCourse.com, TheBemusedStudio.com, and JoinBaisCamp.com. ----------------------- WORK WITH MKW CREATIVE CO.   Connect on social with Michelle at: Kiss My Aesthetic Facebook Group Instagram Tik Tok -----------------------   -- COFFEE -- Did you know that the fuel of the POD and the KMA Team runs on coffee? ;) If you love the content shared in the KMA podcast, you're welcome to invite us to a cup of coffee any time - Buy Me a Coffee! -- STICKER GIANT -- This episode is sponsored by Sticker Giant. Elevate your branding with labels and stickers that will attract attention in all of the right ways. Bring your designs to life by visiting StickerGiant.com and using promo code MKW25 for 25% off when you spend $150 or more! Code is valid for one-time use only. Expires December 31st 2026. -- ZENCASTR -- This episode is brought to you by Zencastr. Create high-quality video and audio content. Get your first two weeks free at https://zencastr.com/?via=kma -- AUDIBLE -- This episode of the Kiss My Aesthetic Podcast is brought to you by Audible. Get your first month free at www.audible.com/kma.   This episode was edited by Berta Wired Theme music by: Eliza Rosevera and Nathan Menard

本期节目是 第28届上海国际电影电视节 × 小宇宙 联合策划播客企划「银幕亮起那一刻」特别节目。当银幕亮起，电影开场，无数对话也随之启程，让我们用声音陪伴你走过这个属于电影的季节。本期播客是企划系列节目之一，很开心收到小宇宙与上海国际电影电视节的邀请，来聊聊现实主义题材电影对我们的今天与未来有着怎样的价值和意义。这次会谈及三部现实主义题材的影片，也都是这次电影节里会上映的电影，分别是两部上世纪90年代的电影《笼民》与《南国再见，南国》和去年上映的一部引发韩国社会关注，且口碑颇佳的新片《世界的主人》。通过这三部电影，我提出问题：如今我们已经步入AI时代，那么现实主义对人类社会还有意义么？未来，无论是现实还是历史，都将被AI记录并呈现，那么社会还需要现实主义题材的电影么？还需要这种影片来反映和挖掘社会现实么？人类还需要现实主义么？

In this episode, Tiffany Neuman explores a fundamental shift in the landscape of online business: the transition from the “Attention Economy” to the “Authority Economy.”With the rise of AI making content creation effortless and visibility common, the traditional "influencer" model is losing its edge. Tiffany breaks down why the most successful modern leaders aren't chasing virality, but are instead investing in deep human connection, original intellectual property, and sustainable business ecosystems. If you've felt the "old ways" of marketing are becoming less effective, this episode provides a roadmap for building a brand that is AI-proof and deeply in demand.Key TakeawaysThe Shift from the Attention Economy to the Authority EconomyFor years, business success was equated with reach: more followers, more noise, and more visibility. However, AI has commoditized information. Because anyone can now generate endless content, visibility is no longer a "moat." The new economy rewards Trust, Relationships, and Lived Experience.The 5 Major ShiftsFrom Visibility to Trust: While attention can be captured instantly, trust compounds slowly. Success now comes from "high-touch" mediums like podcasting, newsletters, and private communities where consistency and original perspectives foster deep belief.”From Content to Ecosystem: Content is fragile and temporary; an ecosystem (podcasts, email lists, websites, and reputations) is durable. Tiffany argues that experts don't need more content, they need stronger infrastructure around their existing ideas.From Audience Size to Audience Depth: A massive, shallow audience is less valuable than a smaller, highly trusted ecosystem. The future of business relies on human connection, discernment, and the ability to provide curated transformation rather than just broadcasting.From Virality to Intellectual Property (IP): AI can replicate generic marketing, but it cannot replicate lived wisdom. True authority comes from original frameworks and unique perspectives that cannot be commoditized.From Short Bursts to Compounding Authority: Move away from the "fireworks" of big, exhausting launches. Instead, build "campfires"... sustainable spaces where people return for deep conversations and community that grows stronger over time.The Role of AIAI is paradoxically increasing the value of human work. While it can generate "mediocre marketing," it cannot recognize patterns in your life, challenge your blind spots, or reflect back the nuances of your unique brilliance.Mentioned ResourcesBrand OS Pro: Tiffany's signature process for building a conversational brand infrastructure.Kit (formerly ConvertKit): Mentioned as a top-tier email service provider and community for creators.LinkedIn: Follow Tiffany for more content related to this discussion.Your Legacy Brand: Official WebsiteAbout the HostTiffany Neuman is a brand strategist and the host of the Make Your Message a Movement podcast. She specializes in helping experts and leaders transition out of the "content hamster wheel" and into a position of compounding authority through original intellectual property and human-centric brand operating systems.Next Week: Don't miss the next episode, where Tiffany dives deeper into who will thrive in the AI era and the specific mindset shifts required to stay ahead of the curve.Rate, Review, and Follow on Your Favorite Platform! If you loved this episode, leave us a review. And always make sure you're following the podcast so you never miss an episode. Follow now!

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AI市場的收購戰火，現在再度引爆。晶片大廠超微和高通，這回不約而同傳出，要砸下重金併購AI新創公司。沒想到消息一出，股價卻給出了截然不同的評價。加入會員，支持節目： https://globalhashtagnews.firstory.io/join留言告訴我你對這一集的想法： https://open.firstory.me/user/cku2d315gwbbo0947nezjmg86/commentsYT收看《寰宇全視界》

Meher Patel is a serial entrepreneur with exits across hospitality, healthcare, and digital media — each in a completely different industry, each built from the ground up. He founded Neon Digital, a performance-first advertising agency, and then built what very few agencies ever achieve: a SaaS platform that outgrew the agency itself. Hector AI now processes over $350 million in ad spend across Amazon and marketplace advertising, with 1,000+ users on the platform — and in under 18 months, has earned 3 global recognitions including the Amazon Ads Innovation Award, the Amazon Partner Award, and a Top 20 Global Amazon Ads Advanced Partner ranking. Today, Meher is building what he believes will become the foundational intelligence layer of the agentic ecommerce era — Hector MCP: the most advanced, context-rich, token-optimized model context protocol purpose-built for Amazon advertising, designed so that every serious AI agent, every autonomous workflow, and every future-ready brand that wants to win on Amazon will have no choice but to be powered by it.Highlight Bullets> Here's a glimpse of what you would learn…. The rapid evolution of Amazon's advertising features driven by AI technology.Limitations of current SaaS platforms for Amazon sellers and the potential of MCP (Model Context Protocol) technology.The significance of context in AI-driven advertising optimization.Challenges associated with using raw data without contextual understanding in advertising.Practical strategies for Amazon sellers to optimize their ad campaigns.The importance of documenting ad optimization processes for effective AI integration.The role of custom AI workflows in enhancing advertising strategies.The necessity of continuous refinement and learning in building effective AI agents.The decision-making process for sellers regarding whether to rent AI tools or develop their own solutions.The use of connectors like Make.com and Knit for creating automated workflows with AI integration.In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley speaks with Meher Patel, founder of Neon Digital and Hector AI, about the future of Amazon advertising. Meher explains how AI and MCP (Model Context Protocol) technology are transforming ad optimization by providing crucial context to raw Amazon data. He emphasizes that sellers should document their ad processes, learn to communicate effectively with AI, and decide whether to build custom AI workflows or use existing tools. The key takeaway: success with AI-driven advertising requires continuous refinement and treating AI as a knowledgeable, context-aware team member.Here are the 3 action items that Josh identified from this episode:Turn your workflow into SOPs Record how you optimize campaigns, explain your decisions, and convert that into SOPs—this becomes the foundation for training AI agents. Never feed AI raw data without context Structure and enrich your Amazon data first (or use MCP-powered tools) so AI can generate accurate, actionable insights. Start small with AI automation, then scale Begin with simple rules (e.g., budget increases for winning campaigns), then gradually build more advanced, custom workflows as you learn.Timestamps:00:00:58 Introduction to the Future of Amazon AdsThe host introduces the topic: autonomous, AI-powered decision-making for Amazon advertising, moving beyond simple optimization.00:01:13 Guest Introduction: Meher PatelThe host introduces Meher Patel, detailing his entrepreneurial background, his agency Neon Digital, and his SaaS platform, Hector AI.00:02:49 The Problem with Early AI Ad ToolsDiscussion on how early AI advertising tools often failed sellers, contrasting with the positive results from newer, more advanced software.00:04:10 Prediction for Amazon AdvertisingMeher predicts Amazon will rapidly release new AI-powered features, but sellers must learn how to properly utilize this infrastructure.00:08:46 The Importance of Context in AIAI is only as good as the context it's given; without it, AI recommendations are generic and potentially harmful.00:10:04 How Smart Sellers Should Prepare for AISellers must learn to ask the right questions and feed AI the right data with the proper context to get valuable results.00:12:07 Why Raw Data Isn't EnoughUploading raw Amazon reports to an AI lacks the necessary context, leading to "garbage out" optimization strategies.00:12:42 The Role of an MCP (Model Context Protocol)An MCP provides the necessary context and data connections, acting as an intelligent layer between raw data and the AI model.00:18:57 Amazon's MCP API LimitationsAmazon's own MCP is just an API, requiring sellers to build their own infrastructure, which is inefficient and token-heavy.00:21:48 Top Strategies: Building Custom AI AgentsThe best strategy is for brands to build their own custom AI agents and workflows based on their unique strategies.00:24:32 Unlocking Custom Workflows with AI AgentsAI agent workflows allow sellers to build bespoke optimization systems, unlike one-size-fits-all SaaS platforms.00:27:10 How to Create an AI Agent WorkflowRecord your optimization process, use an LLM to create an SOP, and then build an AI agent to execute it.00:28:06 The Reality of AI ImplementationBuilding a reliable AI agent is a gradual process of refinement and setting up guardrails, not a weekend project.00:29:21 Automating Agent CreationUsing connectors like Make.com within an LLM allows you to create and schedule automated workflows by simply describing them.00:31:08 The Timeframe for Building an AI SystemBuilding a truly autonomous system is a long-term journey of refinement; the key skill to learn is communicating with AI.00:33:57 Becoming an AI OrchestratorSellers must become orchestrators, designing and managing multiple small, independent AI agents to perform specific, connected tasks.00:35:56 The Future: Loaning vs. Building AI AgentsSellers will choose between "renting" cookie-cutter AI agents or "building" custom ones that act as a competitive moat.00:38:29 Are You a Brand Owner or a SaaS Provider?A warning for sellers: building your own AI tools means you are entering the SaaS business, which requires significant technical resources.00:41:13 The Shift from Prompt to Context EngineeringThe new challenge is context engineering: ensuring the right data and tools are used efficiently to avoid token exhaustion and errors.00:42:55 Three Actionable TakeawaysThe host summarizes three key actions: document processes with video, use an MCP for context, and decide your role (brand/SaaS).00:47:25 Most Influential BookMeher shares that the biography of Steve Jobs has been his most influential book due to its lessons on focus.00:48:25 Favorite AI ToolMeher recommends WhisperFlow for voice-to-text communication with AI, which has eliminated his need to type when using Claude.00:49:23 Most Respected Person in E-commerceMeher names Jeff Cohen as someone he admires for his deep, hands-on knowledge of the Amazon and retail media ecosystem.Resources mentioned in this episode:Josh Hadley on LinkedIneComm Breakthrough ConsultingeComm Breakthrough Podcast

" Kami na po ba ang bubuhay sa pamilya n'yo?"Enrique Gil, pinapaaral ang girlfriend?Melai Cantiveros, gagawin ang "Tanging Ina" ni Ai Ai?

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[깊이 있는 경제뉴스] 1) 美, 최상위 AI ‘미토스·페이블' 수출통제.. 배경은? 2) 중국산 저가 인공지능 확산.. 가격 경쟁 본격화 3) 스페이스X 공모주, 한국에 0주 배정됐다 4) 미국·이란 19일에 종전 합의문 작성.. 국제유가 급락 - 한국경제신문 조미현 기자 - 머니투데이신문 김근희 기자 [친절한 경제] 생산자물가와 소비자물가 왜 굳이 따로 조사하나요? - 청취자 김다미 씨

Gearoid is fascinated with the new ability of AI to communicate with animals, and Niamh feels the onset of the World Cup.   They tackle surviving elderly parents who take extreme holidays, and curbing your tongue around unfaithful co-workers. If you would like to support us we would love for you to become a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠member of ⁠⁠⁠⁠⁠⁠HeadStuff+⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and leave us a lovely rating/review on whatever platform you listen on. Gearóid's tour-dates are ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://gearoidfarrelly.com/tour⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

長時間頻繁使用聊天機械人，可能會令部分用戶有危險，或產生妄想。不單成癮，甚至脫離現實，這種現象稱為「AI 引發的妄想」(AI psychosis)。 今集【潮玩科技】，科技專業人士羅徵永 Willie，探討如何小心使用 AI，了解經常使用下，一些值得關注的現象。

elcome back to #SoLeadSaturday. I'm Chibi version of Vaishali Lambe, and today we are talking about **World Models in AI**.Let's simplify the research idea behind this.World models help AI move from pattern prediction toward planning and simulation.When AI research becomes popular, it often sounds complex.But the practical question is simple:What new capability does this unlock?What limitation does it solve?And how could this eventually show up in real products or workflows?Let's break this down into three parts.

"Economic MOAT" — a business's ability to maintain a competitive edge over its competitors. Andrej P. Škraba, Boris Cergol, Simon Belak, Enej Gradišek in Klemen Selakovič se enkrat na mesec (remote / na daljavo) pogovarjamo o trenutno aktualnih tematikah iz sveta razvoja tehnologije umetne inteligence, podjetništva, ekonomije in politike. ============================= Teme ep. 40: Uvod in novosti v AI svetu Anthropic: komunikacija in tržni pristop Prve izkušnje s Claude Fable 5 in Mythos Cenovni modeli in prihodnost naročnin Prompting, evalvacija in halucinacije Praktični nasveti za uporabo AI modelov Vizualizacija in interaktivne prezentacije Avtonomni agenti v podjetjih AI in prihodnost zaposlovanja Kakšno vrednost imajo juniorji v dobi AI Priložnosti, kreativnost in dodana vrednost Vrednost človeškega dela in okusa Prilagodljivost in prihodnost dela Izvirnost: kombinacija človeka in AI AI-first mindset in zaključek

Cal Newport takes a critical look at recent AI News. Video from today's episode: youtube.com/calnewportmedia (0:00) Are we about to lose control of AI? (3:04) How much should we be afraid of recursive self improvement? (7:52) Are these fears justified? (9:36) Faster software development doesn't equal smarter AI (12:25) These tools are completely controllable (16:52) Taking a step back Links: Buy Cal's latest book, “Slow Productivity” at www.calnewport.com/slow  https://www.anthropic.com/institute/recursive-self-improvement Thanks to Jesse Miller for production and mastering and Nate Mechler for research and newsletter. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Website: https://www.aiaiholdings.com/ NASDAQ: AIAI

6 月 9 日，WWDC 2026 在加州库比蒂诺如期举行，这是库克任期内最后一次主持发布会。苹果正式把语音助手 Siri 改名叫 Siri AI，换了新 logo，做成了独立 APP，还宣布与 Google Gemini 在模型方面深度合作。期待了两年，Apple Intelligence 终于是交出了一份答卷。为什么苹果坐拥 10 亿台 iPhone、全球最深的软件生态、最完整的硬件矩阵，却在 AI 这件事上，被其他科技大厂远远甩在后面呢？ 这期节目，我们邀请到了光帆科技的创始人董红光与我们一起来聊聊 AI 助手与智能硬件。在 APP 孤岛、隐私限制、端云协同之外，有没有一种完全不同的路径，绕开手机这个形态，从头搭一套 AI 原生的软件基建？AI 原生的个人助理到底需要哪些底层基建？以及这场硬件+软件的赛跑，中国创业公司有没有机会跑赢大厂？ 本期人物 丁教 Diane，「声动活泼」联合创始人、「科技早知道」主播 董红光，光帆科技创始人 时间轴 [00:14] 从 WWDC 说起，苹果这次交了什么卷？ 补课为主，不及预期：Siri AI 改名、单独 APP、接入 Gemini， 和国内 APP 的创新比起来差距明显，但苹果的生态打法天然需要周期 [04:38] 金矿不好挖：苹果的四个短板 决策链长 + 模型能力薄弱，依赖 OpenAI 和 Gemini 只能兜住底线 数据锁死在超级 APP 内部，OS 层拿不到，所谓金矿其实难以开采 手机形态的天花板：多点两下就能完成的事，没必要绕道 AI 说话 [08:46] AI 硬件的前车之鉴：智能硬件为何翻车？ 缺的不是硬件，而是一套 AI 原生的软件基建 传统 OS 的架构都需要从头重建 今天有大模型，但没有围绕大模型建好的基建 [11:36] 谷歌 vs 苹果：全链条玩家的优势 从 Gemini 模型到 TPU 芯片、云基建、互联网服务、Pixel 硬件，几乎没有明显短板 苹果的差距在于模型层，这决定了它的上限 "酷"这件事，不知不觉已经转移 [20:31] 个人 AI 助理：不是所有人都看好的非共识 实现难度有两层：技术上能不能真正理解用户，生态上谁愿意开放权限 自动驾驶实现了"人人有司机"，个人 AI 助理是"人人有一个管家" [23:20] 光帆在做什么：把手机传感器"拆开"重装进耳机 耳机+手表：已被接受的穿戴形态 + 全天候佩戴 + 靠近耳眼的黄金位置 软件侧：AI 原生接入而非借道手机 APP 界面 [36:09] 硬件创新的真实难度：一个耳机盒里放了多少东西 摄像头：没有专为耳机定制的小摄像头，镜面做弧面处理，玻璃换树脂 耳机盒集成 eSIM + GPS + 指纹，可独立联网，功耗管理极复杂 现阶段是"AI 助理 1.0"：离终态仍远，等待生态 [42:26] 中美 AI 硬件谁先跑出来 硬件：供应链全在国内，中国绝对优势 软件/模型：伯仲之间，部分领域中国已领先 美国大厂主导、投资人不爱 AI 硬件；中国创业密度更高，更能卷出创新 [50:01] 傻瓜 vs. 可玩：通用 AI 硬件的用户分层策略 短期先打极客：支持连接本地 LLM，自己用语音让 AI vibe coding 写 skill 长期目标：开箱即用 + AI 主动学习用户习惯形成个性化 幕后制作 监制：Yaxian 后期：迪卡 运营：George 设计：饭团 「Knock Knock 世界」 来自中国企业的新技术，如何阻击「世界头号」传染病杀手？https://sourl.co/gCqqhb 在「Knock Knock 世界」里，听到全球新鲜事，还能成为「全球观察员」，报选题、参加选题会。2026 年的节目正在持续更新。 商业合作 声动活泼商业化小队，点击链接直达声动商务会客厅（https://sourl.cn/9h28kj ），也可发送邮件至 business@shengfm.cn 联系我们。 加入声动活泼 声动活泼正在招聘全职商务运营经理、早咖啡内容实习生和社群实习生，如果你也对播客行业的内容制作感兴趣，欢迎点击招聘入口 关于声动活泼 「用声音碰撞世界」，声动活泼致力于为人们提供源源不断的思考养料。 我们还有这些播客：声动早咖啡、声东击西、吃喝玩乐了不起、反潮流俱乐部、泡腾 VC、商业WHY酱、跳进兔子洞 、不止金钱 欢迎在即刻、微博等社交媒体上与我们互动，搜索 声动活泼 即可找到我们。 期待你给我们写邮件，邮箱地址是：ting@sheng.fm 欢迎扫码添加声小音，在节目之外和我们保持联系。Special Guest: 董红光.

Send us Fan MailArtificial Intelligence is changing faster than most of us can keep up with—and whether you love it or hate it, it's already starting to impact the welding and fabrication industry.In this episode, I sit down with Dan Cocks from DC Built to talk about how we're actually using AI in our businesses today. From creating customer renderings and speeding up design work to building software, solving problems, and automating repetitive tasks, we share the tools and workflows that are helping us get more done with less effort.But the conversation doesn't stop there.We dive into the future of fabrication and discuss what happens when AI starts working alongside robotics, cobots, laser welders, CNC equipment, and automated material handling systems. Could a small shop one day have the output of a much larger company? How close are we really to that becoming reality?Whether you're already experimenting with AI or you're still trying to figure out what all the hype is about, this episode will give you a practical look at where the technology is today—and where it's headed next.Topics we cover:• Using AI to create customer renderings and concepts• Chat GPT, Claude, and other AI tools• Prompting techniques that get better results• Building software and automations with AI• AI agents and workflow automation• The future of robotic welding and fabrication• How AI could impact small welding businesses• Why technology is becoming more accessible than everIf you're a welding business owner, fabricator, shop manager, or anyone interested in where the trades are headed, this is a conversation you won't want to miss.#WeldingBusinessOwnersPodcast #WeldingBusiness #Fabrication #ArtificialIntelligence #AI #ChatGPT #WeldingShop #Manufacturing #Automation #Robotics #SmallBusinessSeptember 11th and 12th. www.WeldingBusinessSummit.comwww.FabricatorOlympics.com

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Why the Most Profitable Prompt Engineers Never Call Themselves That Episode Summary Online entrepreneurship myths are costing AI entrepreneurs thousands. In this episode, we expose why the anti-AI approach to building freelance income ideas is the secret weapon parents are using to escape the side gig treadmill—and how rejecting commodity AI tools unlocks real, sustainable income. Based on years of contrarian insights. https://DarkHorseEntrepreneur.com Sponsor: https://Hostinger.com/DARKHORSE20 and use code DARKHOUSE20 for 20% off. Discover how to build a six-figure "invisible" AI consulting business by positioning yourself as a workflow optimization specialist rather than an AI consultant. Learn the exact language, positioning strategies, and retainer models that land enterprise contracts paying $2,500-$5,000 monthly - all while keeping the AI technology completely invisible to clients who just want their problems solved. Key Moments 00:00 - Opening: 34-year-old built an invisible B2B prompt agency 01:10 - The Core Problem: Most people selling the wrong thing to the wrong people using the wrong language 02:05 - The Enterprise Truth: Fortune 500 companies don't buy AI - they buy outcomes. 04:10 - The Language That Sells: Instead of "AI prompt engineer," you say 06:15 - The Retainer Model: the MRR that separates this from every other AI side hustle. 07:05 - The Credibility Requirements 09:40 - The Budget Reality 10:25 - The Uncomfortable Truth 13:25 - The Whiskered Wisdom Resources Mentioned AI Escape Plan Newsletter: For parents ready to break free from the 9-to-5 grind Workflow optimization vs. AI consulting positioning Enterprise compliance requirements (SOC 2, data handling practices) Industry association strategies for credibility building Sponsor: https://Hostinger.com/DARKHORSE20 and use code DARKHOUSE20 for 20% off. Action Item Identify one business process that takes more than 5 hours per week and involves repetitive decision-making. Document it step-by-step, time each step, and note where delays and errors occur - this becomes your first "process audit" that enterprises will pay thousands to create.