# Why AI Strategy Fails Without Data Quality

> AI strategy fails when data quality is poor, costing teams time and money.
- Title: Why AI Strategy Fails Without Data Quality · Inc | Shortify
- Summary: AI strategy fails when data quality is poor, costing teams time and money. Enterprise teams must prioritize data quality over AI training to avoid poor AI…
- Keywords: ai strategy, data quality, budget allocation, enterprise training, podcast automation, workera survey, bcg ai at work, Strategy, Fails, Without, Data, Quality
- Source: Inc — https://inc.com/pam-didner/why-ai-strategy-fails-data-quality-budget/91419432
- Read time: 1 min
- Topics: ai strategy, data quality, budget allocation, enterprise training, podcast automation, workera survey, bcg ai at work
## AI Strategy Fails Without Data Quality
The more I work with AI, the less I worry about AI, I worry about the data.

> The more I work with AI, the less I worry about AI, I worry about the data.
## Busy Teams Won’t Teach Themselves AI
56 percent of U.S. enterprise employees cite no time for AI skills as a barrier.

> 56 percent cite no time set aside during work hours as a barrier to building AI skills.
## Good Data Is Invisible Investment
Data is invisible, and what we don’t see, we don’t fund.

> Data is invisible, and what we don’t see, we don’t fund.
## Key takeaway

Enterprise teams must prioritize data quality over AI training to avoid poor AI outputs.