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\u95b1\u8b80\u5b8c\u6574\u5831\u544a\uff0c\u8acb\u9ede\u64ca\u9023\u7d50\uff1ahttps:\/\/www.trendmicro.com\/explore\/trendai-global-ai-study\/<\/a><\/p>\n\n\n\n

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\"\"<\/figure>\n\n\n\n

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\u53d7\u5230\u4e0a\u8ff0\u58d3\u529b\u800c\u90e8\u7f72 AI \u7684\u98a8\u96aa\uff0c\u56e0\u6cbb\u7406\u4e0d\u4e00\u81f4\u3001AI \u98a8\u96aa\u8cac\u4efb\u4e0d\u6e05\u7b49\u60c5\u6cc1\u65e5\u8da8\u666e\u904d\u800c\u52a0\u5287\u6500\u5347\u3002\u8cc7\u5b89\u5718\u968a\u4e5f\u9762\u81e8\u985e\u4f3c\u554f\u984c\uff0c\u5e38\u5f97\u5728\u9ad8\u5c64\u5df2\u6c7a\u5b9a\u5c0e\u5165 AI \u5f8c\u624d\u88ab\u52d5\u5730\u505a\u56e0\u61c9\u7684\u5de5\u4f5c\uff0c\u5c0e\u81f4\u6b0a\u5b9c\u6027\u7e5e\u904e\u63aa\u65bd (workaround) \u4ee5\u53ca\u672a\u7d93\u6388\u6b0a\u4f7f\u7528\u7684 AI \u5de5\u5177 (\u5f71\u5b50AI) \u7684\u4f7f\u7528\u90fd\u65e5\u6f38\u589e\u52a0\u3002TrendAI\u2122<\/a> \u8fd1\u671f\u767c\u5e03\u7684\u4e00\u4efd\u5a01\u8105\u7814\u7a76\u4e5f\u652f\u6301\u9019\u4e00\u8da8\u52e2\uff0c\u6307\u51fa\u653b\u64ca\u8005\u5df2\u958b\u59cb\u5229\u7528 AI \u81ea\u52d5\u5316\u5075\u67e5\u3001\u52a0\u901f\u91e3\u9b5a\u653b\u64ca\u3001\u964d\u4f4e\u7db2\u8def\u72af\u7f6a\u9580\u6abb\uff0c\u63d0\u5347\u653b\u64ca\u901f\u5ea6\u8207\u898f\u6a21\u3002<\/p>\n\n\n\n

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AI<\/strong>\u5c0e\u5165\u901f\u5ea6\u8d85\u8d8a\u6cbb\u7406\u80fd\u529b<\/strong><\/h3>\n\n\n\n

\u4f01\u696d\u7d44\u7e54\u5c0e\u5165 AI \u7684\u901f\u5ea6\u9060\u5feb\u65bc\u5176\u7ba1\u7406\u98a8\u96aa\u7684\u80fd\u529b\uff0c\u9020\u6210\u4f01\u696d\u5c0e\u5165\u76ee\u6a19\u8207\u6cbb\u7406\u80fd\u529b\u4e4b\u9593\u7684\u843d\u5dee\u8d8a\u4f86\u8d8a\u5927\u300257% \u7684\u53d7\u8a2a\u8005\u8868\u793a AI \u767c\u5c55\u901f\u5ea6\u5df2\u8d85\u904e\u4f01\u696d\u638c\u63e1\u5b89\u5168\u9632\u8b77\u7684\u80fd\u529b\uff0c\u800c\u8d85\u904e\u534a\u6578 (64%) \u7684\u4eba\u5c0d AI \u6cd5\u898f\u6846\u67b6\u7684\u7406\u89e3\u50c5\u5177\u4e2d\u7b49\u4fe1\u5fc3\u3002<\/p>\n\n\n\n

\u53e6\u5916\uff0c\u4f01\u696d\u6cbb\u7406\u6210\u719f\u5ea6\u4ecd\u504f\u4f4e\uff1a\u50c5\u4e09\u5206\u4e4b\u4e00 (38%) \u7684\u4f01\u696d\u7d44\u7e54\u5177\u5099\u5b8c\u5584\u7684 AI \u653f\u7b56\uff0c\u591a\u6578\u4f01\u696d\u4ecd\u5728\u767c\u5c55\u4e2d\uff0c\u4e14\u6709 41% \u8868\u793a\u4e0d\u660e\u78ba\u7684\u6cd5\u898f\u8207\u5408\u898f\u6a19\u6e96\u662f\u4e3b\u8981\u969c\u7919\u3002\u5728\u5be6\u52d9\u4e0a\uff0cAI \u5df2\u6295\u5165\u5be6\u969b\u71df\u904b\uff0c\u4f46\u76f8\u95dc\u6cbb\u7406\u8207\u898f\u7bc4\u4ecd\u672a\u540c\u6b65\u5efa\u7acb\u3002<\/p>\n\n\n\n

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\u5c0d\u81ea\u4e3bAI\u7684\u4fe1\u4efb\u4ecd\u5b58\u5728\u4e0d\u78ba\u5b9a\u6027<\/strong><\/h3>\n\n\n\n

\u53d7\u8a2a\u8005\u5c0d\u9ad8\u968e\u3001\u81ea\u4e3b\u7cfb\u7d71\u7684\u4fe1\u4efb\u4ecd\u5728\u9010\u6b65\u5efa\u7acb\u7684\u968e\u6bb5\u3002\u4e0d\u5230\u4e00\u534a (48%) \u7684\u4eba\u76f8\u4fe1\u4ee3\u7406\u5f0f AI \u80fd\u5728\u77ed\u671f\u5167\u5927\u5e45\u63d0\u5347\u8cc7\u5b89\u9632\u79a6\u80fd\u529b\uff0c\u800c\u5176\u4e3b\u8981\u7591\u616e\u5305\u62ec\u8cc7\u6599\u5b58\u53d6\u3001\u8aa4\u7528\u8207\u7ba1\u63a7\u4e0d\u8db3\u3002\u4ee5\u4e0b\u6578\u64da\u63ed\u793a\u4e86\u9019\u4e9b\u64d4\u6182\u4e3b\u8981\u96c6\u4e2d\u5728\u54ea\u56db\u5927\u65b9\u9762\uff1a44% \u8a8d\u70ba\u4ee3\u7406\u5f0f AI \u5b58\u53d6\u6a5f\u654f\u8cc7\u6599\u662f\u6700\u5927\u98a8\u96aa\u300136% \u64d4\u5fc3\u60e1\u610f\u63d0\u793a\u8a5e (prompt) \u53ef\u80fd\u7834\u58de\u5b89\u5168\u6027\u300133% \u6307\u51fa AI \u64f4\u5927\u4e86\u7db2\u8def\u653b\u64ca\u9762\u300133% \u64d4\u5fc3 AI \u7684\u4fe1\u4efb\u6a5f\u5236\u906d\u5230\u6feb\u7528\uff0c\u4ee5\u53ca\u81ea\u4e3b\u7a0b\u5f0f\u78bc\u90e8\u7f72\u5e36\u4f86\u7684\u98a8\u96aa\u3002<\/p>\n\n\n\n

\u540c\u6642\uff0c\u8fd1\u4e09\u5206\u4e4b\u4e00 (31%) \u627f\u8a8d\u4ed6\u5011\u7f3a\u4e4f\u5c0d\u9019\u4e9b\u7cfb\u7d71\u7684\u53ef\u89c0\u5bdf\u6027 (Observability) \u6216\u7a3d\u6838\u80fd\u529b\uff0c\u5f15\u767c\u4e86\u5c0d\u4f01\u696d\u5728\u4ee3\u7406\u5f0f AI \u90e8\u7f72\u5f8c\uff0c\u662f\u5426\u4ecd\u5177\u5099\u6709\u6548\u63a7\u7ba1\u8207\u4ecb\u5165\u80fd\u529b\u7684\u8cea\u7591\u3002<\/p>\n\n\n\n

\u7d04 40% \u7684\u4f01\u696d\u7d44\u7e54\u652f\u6301\u5c0e\u5165 AI \u7684\u300c\u7dca\u6025\u95dc\u9589 (kill switch)\u300d\u6a5f\u5236\uff0c\u4ee5\u4fbf\u5728\u5931\u63a7\u6216\u8aa4\u7528\u6642\u95dc\u9589\u7cfb\u7d71\uff0c\u4f46\u4ecd\u6709\u8fd1\u534a\u7d44\u7e54\u5c1a\u672a\u78ba\u5b9a\u3002\u9019\u7a2e\u5206\u6b67\u986f\u73fe\u51fa\u66f4\u6df1\u5c64\u7684\u554f\u984c\uff1a\u4f01\u696d\u6b63\u8d70\u5411\u81ea\u4e3b AI\uff0c\u4f46\u5c0d\u65bc\u95dc\u9375\u6642\u523b\u5982\u4f55\u4fdd\u6301\u638c\u63a7\u537b\u6c92\u6709\u5171\u8b58\u3002<\/p>\n\n\n\n

\u91d1\u656c\u79c0\u88dc\u5145\u8868\u793a\uff1a\u300c\u4ee3\u7406\u5f0f AI \u6b63\u8b93\u4f01\u696d\u9032\u5165\u5168\u65b0\u7684\u98a8\u96aa\u7bc4\u7587\u3002\u900f\u904e\u6211\u5011\u7684\u7814\u7a76\u7d50\u679c\uff0c\u53ef\u6e05\u695a\u770b\u5230\u4f01\u696d\u7684\u64d4\u6182\uff0c\u5305\u62ec\u6a5f\u654f\u8cc7\u6599\u66b4\u9732\u8207\u7f3a\u4e4f\u76e3\u7ba1\u3002\u4f01\u696d\u7d44\u7e54\u5982\u679c\u6c92\u6709\u53ef\u8996\u6027\u8207\u63a7\u5236\u80fd\u529b\uff0c\u5c31\u958b\u59cb\u8457\u624b\u90e8\u7f72\u4ed6\u5011\u5c1a\u672a\u5b8c\u5168\u7406\u89e3\u6216\u6cbb\u7406\u7684\u7cfb\u7d71\uff0c\u9019\u4e9b\u98a8\u96aa\u53ea\u6703\u6301\u7e8c\u589e\u52a0\u3002\u300d<\/p>\n\n\n\n

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\u3000\u3000\u3000<\/p>\n\n\n\n

\u8a3b\u4e00\uff1aTrendAI 2026 global AI study\u5171\u8a2a\u554f\u5168\u74033,700\u4f4d\u3001\u53f0\u7063200\u4f4d\u65bc\u4e2d\u5927\u578b\u4f01\u696d\u670d\u52d9\u7684\u696d\u52d9\u8207IT\u6c7a\u7b56\u8005\u3002<\/sub><\/p>\n\n\n\n

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\u3000\u3000\u3000\u3000<\/p>\n\n\n\n

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