Data for AI 2026
The rise of web data infrastructure.
New research reveals 97% of AI organizations now depend on real-time web data infrastructure, yet 90% face restrictions that constrain their initiatives. This report uncovers the architectural shift forcing AI leaders to rethink their data strategy and the solution an overwhelming majority are turning to for speed, reliability, and compliance at scale.
Key takeaways:
Real-time data infrastructure has become the AI stack's critical layer.
Data volumes are growing exponentially with the connection to the real-time web, accounting for a large percentage of that growth.
Restrictions are driving strategic partnerships, not slowing innovation.
Nearly all AI leaders acknowledge material limitations from technical blocking and regulatory complexity.
Trust, not just speed, is what makes real-time data essential.
Trust ranks as the top driving force to shift from static to real-time external data.
The AI convergence is here and it runs on data infrastructure.
Organizations are building multiple types of AI in tandem. The consistent thread is they depend on the same underlying real-time public web data layer.
What's covered:
