{"id":14173,"date":"2023-12-28T08:00:08","date_gmt":"2023-12-28T08:00:08","guid":{"rendered":"http:\/\/TheNextWeb=1402578"},"modified":"2023-12-28T08:00:08","modified_gmt":"2023-12-28T08:00:08","slug":"after-a-year-of-breathless-hype-ai-will-face-reality-in-2024","status":"publish","type":"post","link":"https:\/\/www.londonchiropracter.com\/?p=14173","title":{"rendered":"After a year of breathless hype, AI will face reality in 2024"},"content":{"rendered":"\n

Artificial intelligence went mainstream in 2023. The watershed moment arrived at the end of the previous year, with the November 30 release of ChatGPT. Just two months later, the OpenAI system was reaching an estimated 100 million active users. According to analysts at investment bank UBS, the headline-grabbing chatbot had become the fastest-growing<\/a> consumer app of all time.<\/p>\n

Over the remaining course of 2023, the hype train went into overdrive. Suddenly, AI seemed to be everywhere. It was transforming our lives. It was taking our jobs. It was even threatening to cause an apocalypse<\/a>. <\/span><\/p>\n

In reality, however, the breakthroughs have largely emerged within a single portion of <\/span>artificial intelligence<\/span><\/a>: generative AI. The excitement sparked by ChatGPT\u2019s text, GitHub Copilot\u2019s code, and Stable Diffusion\u2019s images are yet to spread across the field.<\/span><\/p>\n

\u201cWhile the use of GenAI might spur the adoption of other AI tools, we see few meaningful increases in organisations\u2019 adoption of these technologies,\u201d McKinsey concluded in its report on the <\/span>state of AI in 2023<\/span><\/a>.<\/span><\/p>\n

\u201cThe percent of organizations adopting any AI tools has held steady since 2022, and adoption remains concentrated within a small number of business functions.\u201d<\/span><\/p>\n

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Generative AI also still has more to prove. In recent research from Infosys, the Indian IT giant found only 6% of European companies are producing business value with their GenAI use cases. In Gartner\u2019s famous hype cycle for emerging technologies, the subsector has reached the \u201cpeak of inflated expectations.\u201d <\/span><\/p>\n

The next stage of the cycle for GenAI is the \u201ctrough of disillusionment.\u201d In that stage, interest wanes as experiments and implements fail to deliver, while producers of the tech shake out or fail. <\/span><\/p>\n

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<\/i><\/a>Generative AI  has reached the apex of Gartner\u2019s hype cycle.<\/figcaption>