Government leaders are enthusiastically pursuing AI transformation for public services, yet most AI initiatives are failing due to a disconnect between ambitious goals and actual organizational readiness. Studies indicate that over 80% of public sector IT projects go over budget and time, undermining public trust. Failures such as Arkansas's automated disability system highlight severe consequences. A research-backed five-stage AI maturity model suggests that readiness influences success, indicating organizations must align technology implementations with current maturity to avoid systemic failures.
When AI projects go wrong in government, the consequences extend far beyond budget overruns.
The core problem isn't AI technology itself-it's the mismatch between ambitious goals and organizational readiness.
A recent McKinsey analysis of nearly 3,000 public sector IT projects found that over 80% exceeded their timelines.
Government agencies consistently attempt AI implementations that far exceed their technological maturity.
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