Gartner predicts at least 30 percent of generative AI projects will be abandoned after proof of concept by 2025 due to escalating costs, unclear business value, poor data quality, or inadequate risk controls.
Scaling generative AI projects can be tricky with uncertainty in predicting costs and value upfront, making it challenging to justify the substantial investment for productivity enhancement.
Generative AI deployment costs range from $5 million to $20 million, with no one-size-fits-all approach, as costs vary based on use cases, deployment approaches, and scale of deployments.
Identifying the organization's AI ambition, whether for market disruption, task-specific gains, or industry transformation, is crucial as generative AI projects require a higher tolerance for indirect financial investment and strategic impact.
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