Around a third of generative AI projects in the enterprise will be abandoned after the proof-of-concept phase by year-end 2025, due to poor data quality, inadequate risk controls, and escalating infrastructure costs.
Embracing generative AI organization-wide can cost between $5 million to $20 million, making it challenging due to the high costs and unclear business value.
An Upwork survey reports that nearly half of workers using AI feel uncertain about achieving productivity gains expected by employers, with 77% stating that AI tools have decreased productivity and added to their workload.
Generative AI faces technical challenges, leading to potential issues outweighing its benefits, as seen in a Google-powered AI tool testing at HCA hospitals, highlighting ongoing struggles in implementation.
#ai-projects #cost-of-ai-adoption #productivity-impact #generative-ai-challenges #ai-implementation-struggles
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