[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-allianz-hail-driving-bigger-storm-losses-zh":3,"tags-allianz-hail-driving-bigger-storm-losses-zh":33,"related-lang-allianz-hail-driving-bigger-storm-losses-zh":43,"related-posts-allianz-hail-driving-bigger-storm-losses-zh":47,"series-industry-9603a0d8-04a5-420d-91d5-c07c3ab9cc8a":84},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":21,"translated_content":10,"views":22,"is_premium":23,"created_at":24,"updated_at":24,"cover_image":11,"published_at":25,"rewrite_status":26,"rewrite_error":10,"rewritten_from_id":27,"slug":28,"category":29,"related_article_id":30,"status":31,"google_indexed_at":32,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":10,"topic_cluster_id":10,"embedding":10,"is_canonical_seed":23},"9603a0d8-04a5-420d-91d5-c07c3ab9cc8a","冰雹正在拉高風暴損失","\u003Cp>去年，嚴重對流風暴造成約 \u003Cstrong>600 億美元\u003C\u002Fstrong>保險損失。這數字不是小修小補，是真的會讓產險公司頭痛。\u003Ca href=\"https:\u002F\u002Fwww.allianz.com\u002Fen.html\" target=\"_blank\" rel=\"noopener\">Allianz\u003C\u002Fa> 也直接點名，冰雹吃掉其中大半。\u003C\u002Fp>\u003Cp>更麻煩的是，這種損失不是只靠一兩場大風暴撐起來。很多是小型事件一路累積。講白了，就是每次看起來還好，年底帳單卻很嚇人。\u003C\u002Fp>\u003Cp>Allianz 的最新報告還提到，過去三年，嚴重對流風暴保險損失合計達 \u003Cstrong>\u003Ca href=\"\u002Fnews\u002Fwebassembly-2026-faster-web-apps-less-javascript-zh\">20\u003C\u002Fa>80 億美元\u003C\u002Fstrong>。這是以今天幣值計算。對做承保、再保、理賠的人來說，這種曲線已經不是雜訊。\u003C\u002Fp>\u003Ch2>冰雹現在是主角\u003C\u002Fh2>\u003Cp>很多人談風暴，第一個想到的是龍捲風。以前我也這樣想。現在看數據，冰雹才是最會咬保單的那個。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775228633393-2esx.png\" alt=\"冰雹正在拉高風暴損失\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>Allianz 說，嚴重對流風暴占去年全球自然災害保險損失的近一半。更狠的是，冰雹就貢獻了其中 \u003Cstrong>50% 到 80%\u003C\u002Fstrong>。這代表冰雹不再只是屋頂小傷，而是整個財產險損失的核心引擎。\u003C\u002Fp>\u003Cp>這件事對台灣開發者也有參考價值。你如果做風險模型、地理資料、衛星影像、保險科技 API，這就是很典型的資料問題。不是單點災害，而是高頻、分散、難抓的累積損失。\u003C\u002Fp>\u003Cul>\u003Cli>去年全球嚴重對流風暴保險損失約 \u003Cstrong>600 億美元\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>過去三年累計損失約 \u003Cstrong>2080 億美元\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>冰雹占嚴重對流風暴損失的 \u003Cstrong>50% 到 80%\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>美國保險損失是 \u003Cstrong>2015 到 2024\u003C\u002Fstrong> 平均值的 \u003Cstrong>1.4 倍\u003C\u002Fstrong>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>這些數字很直接。它告訴你，冰雹不是邊角料風險。它已經變成保險公司要先算的主項目。\u003C\u002Fp>\u003Ch2>風險地圖正在往東移\u003C\u002Fh2>\u003Cp>地理位置也在變。Allianz 指出，大平原較乾燥的條件，讓 Tornado Alley 的風險往美國東南部移。也就是說，原本沒那麼常被當成高風險區的地方，現在也開始吃到更多風暴。\u003C\u002Fp>\u003Cp>這種位移很要命。因為很多地區的房屋、倉儲、工廠，原本不是照高冰雹風險去設計的。當暴露量變大，損失就會跟著放大。\u003C\u002Fp>\u003Cp>報告也提到，較強的上升氣流有利於形成更大的冰雹。依不同氣候情境，最具破壞性的冰雹，發生頻率可能增加 \u003Cstrong>15% 到 75%\u003C\u002Fstrong>。範圍很大，但就算只看低標，也夠保險業重新算盤。\u003C\u002Fp>\u003Cp>小冰雹也不是沒事。它會堵住屋頂排水，讓積水堆在平屋頂上。接著就是滲水、變形，甚至結構問題。很多損失不是當下看見，而是幾天後才爆。\u003C\u002Fp>\u003Cp>你可能會想問，冰雹不就是打壞車子和屋頂嗎？沒錯，但真正貴的是後續水損、停工、設備故障。那才是理賠金額的黑洞。\u003C\u002Fp>\u003Ch2>現場的人怎麼看\u003C\u002Fh2>\u003Cp>Allianz Risk Consulting 美洲技術經理 \u003Ca href=\"https:\u002F\u002Fwww.allianz.com\u002Fen\u002Fpress\u002Fnews\u002Fcompany\u002F2025\u002F02\u002F07.html\" target=\"_blank\" rel=\"noopener\">Andrew Higgins\u003C\u002Fa> 說，過去 5 到 10 年，嚴重對流風暴損失的成長，讓很多人措手不及。他的意思很直白：這不是慢慢變貴，是突然變很貴。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775228633755-3n6h.png\" alt=\"冰雹正在拉高風暴損失\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cblockquote>“I would say that the losses that have resulted from severe convective storms have increased so much over the last five to 10 years, that it kind of caught a lot of people by surprise,” said Andrew Higgins, technical manager – Americas at Allianz Risk Consulting.\u003C\u002Fblockquote>\u003Cp>這段話很有意思。因為它點出一個常見盲點。大家常盯著颶風、地震這種大事件，卻忽略一年內很多次中小型風暴的總和。\u003C\u002Fp>\u003Cp>天氣科技公司 \u003Ca href=\"https:\u002F\u002Fcanopyweather.com\" target=\"_blank\" rel=\"noopener\">Canopy Weather\u003C\u002Fa> 的 Don Giuliano 也認同這個趨勢。他提到，業界常把這些低損失事件叫做 “kitty-cats”。單看都不大，累積起來卻很兇。\u003C\u002Fp>\u003Cp>我覺得這個比喻很準。因為理賠最怕的不是一次爆炸，而是很多次小失血。每次都不致命，年底卻會把 combined r\u003Ca href=\"\u002Fnews\u002Fchatgpt-ads-format-standardization-data-zh\">at\u003C\u002Fa>io 拉歪。\u003C\u002Fp>\u003Cp>還有一個現場問題很現實。資深 field adjust\u003Ca href=\"\u002Fnews\u002Fhermes-agent-agent-harness-framework-zh\">er\u003C\u002Fa> 變少了。\u003Ca href=\"https:\u002F\u002Fwww.iii.org\u002Farticle\u002Fclaims-adjusters\" target=\"_blank\" rel=\"noopener\">Insurance Information Institute\u003C\u002Fa> 也長期提到理賠人力老化與招募困難。當經驗流失，細小冰雹造成的隱性損傷就更容易漏掉。\u003C\u002Fp>\u003Ch2>理賠、屋頂、和看不見的成本\u003C\u002Fh2>\u003Cp>Allianz 的報告說，屋頂和屋頂設備，是冰雹與強風事件中最常受損的部位。這包括 HVAC、太陽能板，還有各種附掛設備。這些東西一壞，修復成本就不是幾千塊能解決。\u003C\u002Fp>\u003Cp>真正麻煩的是連鎖反應。屋頂先受損，接著漏水。漏水後，內裝、電力、機房、庫存都可能出事。對企業來說，這不只是修屋頂而已，還可能變成停工損失。\u003C\u002Fp>\u003Cp>這也是為什麼理賠流程很重要。若只靠遠端照片或不夠熟的調整員，很容易漏看側邊、排水、女兒牆、附屬設備的損傷。小問題沒抓到，後面就會變成補件、重開案、爭議。\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.munichre.com\u002Fen.html\" target=\"_blank\" rel=\"noopener\">Munich Re\u003C\u002Fa> 也持續追蹤冰雹損失上升\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.swissre.com\u002Finstitute.html\" target=\"_blank\" rel=\"noopener\">Swiss Re Institute\u003C\u002Fa> 指出，2025 年全球自然災害保險損失約 \u003Cstrong>1070 億美元\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.gallagherre.com\" target=\"_blank\" rel=\"noopener\">Gallagher Re\u003C\u002Fa> 估算，2023 到 2025 年嚴重對流風暴損失約 \u003Cstrong>2080 億美元\u003C\u002Fstrong>\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.ncei.noaa.gov\" target=\"_blank\" rel=\"noopener\">NOAA\u003C\u002Fa> 長期記錄美國極端天氣與冰雹事件資料\u003C\u002Fli>\u003C\u002Ful>\u003Cp>把這些資料放一起看，結論很清楚。冰雹不是單一公司的觀點，而是整個再保與災損研究圈都在碰到的問題。差別只在誰先把模型改掉。\u003C\u002Fp>\u003Ch2>產業現在卡在哪裡\u003C\u002Fh2>\u003Cp>第一個卡點是定價。以前把冰雹當次要風險，現在這種做法太保守。承保如果還用舊參數，保費很容易低估。\u003C\u002Fp>\u003Cp>第二個卡點是資料。很多保險公司有保單資料，卻沒有夠細的屋頂狀況、地理暴露、歷史冰雹路徑資料。少了這些，演算法再漂亮也只是半套。\u003C\u002Fp>\u003Cp>第三個卡點是理賠效率。風暴後的第一週最忙。若沒有好的 aerial imagery、即時天氣資料、現場派工系統，理賠團隊就會被案量壓垮。\u003C\u002Fp>\u003Cp>這裡其實很像軟體工程。你不是只要一個模型。你要的是資料管線、驗證規則、告警、人工覆核，一整套流程。少一環，結果就會歪。\u003C\u002Fp>\u003Cp>如果從台灣看這件事，保險科技、新型再保分析、建築風險評估，都有切入空間。尤其是結合衛星影像、地圖 API、氣象資料的團隊，會很吃香。\u003C\u002Fp>\u003Ch2>接下來會怎麼走\u003C\u002Fh2>\u003Cp>我覺得接下來 12 到 24 個月，保險公司會更重視屋頂檢測、暴露分群、和風暴後的快速勘損。不是因為大家突然變聰明，而是損失已經逼得你不能再拖。\u003C\u002Fp>\u003Cp>如果你是做保險、建築、或資料產品的人，現在就該問一個問題：你手上的模型，有沒有把冰雹當成主風險？如果答案還是否，那很可能已經落後市場。\u003C\u002Fp>\u003Cp>講白了，這波不是在比誰會講氣候故事。是在比誰先把高頻損失算準。誰算得準，誰就少吞幾次理賠黑洞。\u003C\u002Fp>","Allianz 指出，去年嚴重對流風暴造成 600 億美元保險損失，其中 50% 到 80% 來自冰雹。這篇整理風險移動、理賠壓力與保險公司該怎麼調整。","www.claimsjournal.com","https:\u002F\u002Fwww.claimsjournal.com\u002Fnews\u002Fnational\u002F2026\u002F04\u002F01\u002F336640.htm",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775228633393-2esx.png",[13,14,15,16,17,18,19,20],"Allianz","冰雹","嚴重對流風暴","保險損失","理賠","再保險","氣候風險","財產保險","zh",0,false,"2026-04-03T15:03:35.283063+00:00","2026-04-03T15:03:35.206+00:00","done","98ab5bf6-b3a8-4bbc-b858-4d0f56bb46ea","allianz-hail-driving-bigger-storm-losses-zh","industry","53e3626d-d4e8-40ce-915c-4343db5973ea","published","2026-04-07T07:41:09.154+00:00",[34,35,36,37,38,39,40,42],{"name":15,"slug":15},{"name":16,"slug":16},{"name":18,"slug":18},{"name":20,"slug":20},{"name":19,"slug":19},{"name":17,"slug":17},{"name":13,"slug":41},"allianz",{"name":14,"slug":14},{"id":30,"slug":44,"title":45,"language":46},"allianz-hail-driving-bigger-storm-losses-en","Allianz: Hail Is Driving Bigger Storm Losses","en",[48,54,60,66,72,78],{"id":49,"slug":50,"title":51,"cover_image":52,"image_url":52,"created_at":53,"category":29},"c3b45aac-c24c-4c09-9e95-73ff729d9a62","why-ai-infrastructure-is-now-the-real-moat-zh","為什麼 AI 基礎設施才是真正的護城河","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778875851377-xatg.png","2026-05-15T20:10:37.227561+00:00",{"id":55,"slug":56,"title":57,"cover_image":58,"image_url":58,"created_at":59,"category":29},"cd078ce9-0a92-485a-b428-2f5523250a19","circles-agent-stack-targets-machine-speed-payments-zh","Circle 推出 Agent Stack，瞄準機器速度支付","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778871663628-uyk5.png","2026-05-15T19:00:44.16849+00:00",{"id":61,"slug":62,"title":63,"cover_image":64,"image_url":64,"created_at":65,"category":29},"96d96399-f674-4269-997a-cddfc34291a0","iren-signs-nvidia-ai-infrastructure-pact-zh","IREN 綁上 Nvidia AI 基建","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778871057561-bukp.png","2026-05-15T18:50:37.57206+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":29},"de12a36e-52f9-4bca-8deb-a41cf974ffd9","circle-agent-stack-ai-payments-zh","Circle 推出 Agent Stack 做 AI 付款","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778870462187-t9xv.png","2026-05-15T18:40:30.945394+00:00",{"id":73,"slug":74,"title":75,"cover_image":76,"image_url":76,"created_at":77,"category":29},"e6379f8a-3305-4862-bd15-1192d3247841","why-nebius-ai-pivot-is-more-real-than-hype-zh","為什麼 Nebius 的 AI 轉型比炒作更真實","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778823044520-9mfz.png","2026-05-15T05:30:24.978992+00:00",{"id":79,"slug":80,"title":81,"cover_image":82,"image_url":82,"created_at":83,"category":29},"66c4e357-d84d-43ef-a2e7-120c4609e98e","nvidia-backs-corning-factories-with-billions-zh","Nvidia 出資 Corning 工廠擴產","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778822450270-trdb.png","2026-05-15T05:20:27.701475+00:00",[85,90,95,100,105,110,115,120,125,130],{"id":86,"slug":87,"title":88,"created_at":89},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":91,"slug":92,"title":93,"created_at":94},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":96,"slug":97,"title":98,"created_at":99},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":101,"slug":102,"title":103,"created_at":104},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":106,"slug":107,"title":108,"created_at":109},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":111,"slug":112,"title":113,"created_at":114},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":116,"slug":117,"title":118,"created_at":119},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":121,"slug":122,"title":123,"created_at":124},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":126,"slug":127,"title":128,"created_at":129},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":131,"slug":132,"title":133,"created_at":134},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]