AI’s real bottleneck isn’t compute — it’s the network underneath
11.5 hours every week. That's how much time IT teams waste on cloud connectivity issues — and it's eating your AI ROI before the models even run.
Why it matters
As AI workloads distribute across multi-cloud environments, network latency and reliability are emerging as a critical (and overlooked) constraint on AI performance. Enterprises spend more time troubleshooting connectivity than realizing AI value, and direct private interconnection is becoming table-stakes infrastructure.
The key facts
12 to know88% of organizations used AI in 2025, 70% using generative AI in at least one business function (Stanford AI Index 2026)
IT teams in US and UK spend average 11.5 hours/week resolving cloud connectivity issues
96% of enterprises say their networks are 'ready' for AI, despite acknowledging significant weekly troubleshooting burden
Only 39% of respondents could attribute enterprise-level EBIT impact to AI; most reported contribution below 5% (McKinsey 2025)
Multi-cloud, multi-region AI deployments create latency across application requests and agent interactions
Direct private connectivity (via Internet Exchange, Cloud Exchange) reducing latency and improving reliability over public Internet routing
88% of organizations used AI in 2025; 70% deployed generative AI in at least one business function (Stanford AI Index 2026)
IT teams in US and UK spend average of 11.5 hours per week resolving cloud connectivity issues
Only 39% of McKinsey survey respondents could attribute enterprise-level EBIT impact to AI; most reported contribution below 5%
96% of enterprises say their networks are 'ready' for future cloud and AI projects, despite connectivity troubleshooting consuming >1 full working day per week
Recommendation: shift from public Internet routing to private direct connectivity (Internet/Cloud Exchange) for business-critical AI traffic
Multi-cloud deployments spanning countries and continents now standard; each network hop increases response time
The story so far
Earlier coverage of this storyline
Go to the source
CIOcio.com
Publisher excerpt: For such a rapid innovation cycle, AI has been given unprecedented levels of responsibility. According to the Stanford AI Index 2026, 88% of organizations used AI in 2025, with 70% using generative AI in at least one business function. Most analysts agree that this technology, particularly when it…