Network Infrastructure Constraints Threaten to Stall Global AI Expansion
Key Facts
- 88% of respondents state network constraints threaten future AI growth.
- 59% of organizations identify connectivity as the single largest barrier to scaling AI.
- No U.S. state currently possesses network latency below 30ms.
- 72% of organizations anticipate needing sub-30ms latency within two to three years.
- 93% of stakeholders describe digital sovereignty as very or extremely important.
Network infrastructure limitations are emerging as a primary obstacle to the scaling of artificial intelligence, with 88% of organizations reporting that connectivity constraints threaten to inhibit future growth. While 72% of organizations expect to require latency below 30 milliseconds for AI operations within the next three years, current data indicates that no U.S. state currently meets this threshold. Washington D.C. recorded the lowest latency at 37ms, while Hawaii reached 108ms.
Historical Context
The transition to AI-driven workflows requires a shift from traditional downlink-heavy internet architecture to a 'two-way' geometry capable of constant data movement between clouds, edges, and devices. This infrastructure evolution is increasingly viewed as a strategic asset for national security and digital sovereignty, as 93% of stakeholders now prioritize secure, trusted infrastructure.
Perspective Analysis
Sources: The Hill · Politico | Aggregators: Tech Policy Wire · Global Conflict Monitor
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