{"id":13936,"date":"2025-10-06T03:32:17","date_gmt":"2025-10-06T07:32:17","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13936"},"modified":"2025-10-06T03:32:17","modified_gmt":"2025-10-06T07:32:17","slug":"were-not-in-an-ai-winter-but-heres-how-to-survive-a-cold-snap","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/were-not-in-an-ai-winter-but-heres-how-to-survive-a-cold-snap\/13936\/","title":{"rendered":"We\u2019re not in an \u2018AI winter\u2019\u2014but here\u2019s how to survive a cold snap"},"content":{"rendered":"Originally published on\u00a0Fortune, October 1, 2025. Over the nearly three years since\u00a0ChatGPT\u2019s launch in November 2022, generative AI has created a frenzy that has radiated like the midday summer sun\u2014hot and unrelenting. And for the AI companies rocketing forth like heat-seeking missiles, including OpenAI, Anthropic,\u00a0Google,\u00a0Microsoft,\u00a0Meta, and xAI, the sun is still shining: The research firm\u00a0Gartner\u00a0forecasts worldwide AI spending will reach nearly $1.5 trillion in 2025 and surpass $2 trillion in 2026, fueled by integration into smartphones, PCs, and enterprise infrastructure. Elon Musk and other AI leaders continue to insist that\u00a0artificial general intelligence (AGI)\u2014an AI that can think and <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/were-not-in-an-ai-winter-but-heres-how-to-survive-a-cold-snap\/13936\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published on\u00a0Fortune, October 1, 2025. Over the nearly three years since\u00a0ChatGPT\u2019s launch in November 2022, generative AI has created a frenzy that has radiated like the midday summer sun\u2014hot and unrelenting. And for the AI companies rocketing forth like heat-seeking missiles, including OpenAI, Anthropic,\u00a0Google,\u00a0Microsoft,\u00a0Meta, and xAI, the sun is still shining: The research firm\u00a0Gartner\u00a0forecasts [&hellip;]<\/p>\n","protected":false},"author":13468,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-13936","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13936","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/13468"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13936"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13936\/revisions"}],"predecessor-version":[{"id":13937,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13936\/revisions\/13937"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13936"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13936"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13936"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}