How to stop AI costs from soaring | Computer Weekly
Briefly

Research predicts 30% of GenAI projects to fail post proof-of-concept by 2025 due to data quality, rising costs, and unclear business value.
GenAI provides revenue increase, cost savings, and productivity improvements; value varies based on use case, job type, and worker skill levels.
Everyday AI enhances existing tasks for productivity gains, while game-changing AI focuses on creativity to generate new solutions or products.
Factors impacting GenAI investment costs include use cases, industry, and organization's risk appetite; off-the-shelf products like ChatGPT offer quick wins.
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