The Real Reason Companies Are Struggling to Scale AI
The Real Reason Companies Are Struggling to Scale AI
Publish Date: 2026-05-19 11:27:00
Source Domain: www.pymnts.com
- Mature AI Infrastructure but Data Quality Issues: Financial services has the most advanced AI infrastructure, but the main barrier is insufficient data quality for broader use cases.
- Fragmented Systems in Healthcare: Healthcare firms face the challenge of integrating fragmented clinical and operational data systems, making it difficult to deploy useful AI.
- Organizational Alignment in Media and Advertising: Media and advertising companies need to address organizational issues such as skills gaps, governance, and leadership alignment to scale AI.
- Budget Growth is Universal: Across financial services, media, and healthcare sectors, AI budgets are increasing, though the reasons for spending differ between sectors.
- Operational Infrastructure as the Main Barrier: Despite high budgets and strong executive support, organizations struggle to scale AI due to gaps in operational infrastructure rather than technological capabilities.
- Different Sector Challenges: Each sector faces unique obstacles: financial services with data quality, healthcare with system and data integration, and media and advertising with organizational alignment.
- Future Vision for AI Usage: Over 80% of leaders in all sectors believe AI will augment human decision-making in the next five years, highlighting the shared goal of AI deployment but the varied paths to achieve it.
