{"id":22911,"date":"2026-02-04T01:41:28","date_gmt":"2026-02-04T01:41:28","guid":{"rendered":"https:\/\/www.cycloid.io\/article\/the-state-of-ai-in-2026-part-2\/"},"modified":"2026-09-08T03:33:39","modified_gmt":"2026-09-08T03:33:39","slug":"the-state-of-ai-in-2026-part-2","status":"publish","type":"article","link":"https:\/\/www.cycloid.io\/fr\/press\/the-state-of-ai-in-2026-part-2\/","title":{"rendered":"The state of AI in 2026 \u2013 part 2"},"content":{"rendered":"
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AI is changing. The market for artificial intelligence<\/a> is spiralling through various stages of adolescence and (sometimes surprisingly rapid) maturity. This tumultuous period of growth sees the IT industry focused on AI issues straddling everything from shadow AI to GPU hoarding to infrastructure overprovisioning to hallucinations, bias and so on. With foundation model training, inference and reasoning engines taking up many column inches, we\u2019re also concerned about the span now developing between large and small language models (medium models do exist, but they make fewer headlines) and we haven\u2019t even mentioned energy costs, compliance and real-time AI compute analysis at the Internet of Things edge.<\/p>\n<\/div>\n<\/div>\n

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View the<\/strong> full article here<\/strong><\/a>.<\/strong><\/p>\n

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