Key Takeaway
By 2026, AI inferencing will mature from experimentation to integration in enterprise IT, with McKinsey predicting it will dominate AI workloads by 2030. Agentic AI, leveraging inference capabilities, will impact consumer tasks like privacy management and healthcare. Meanwhile, Colt’s research indicates that 58% of CIOs are increasing their use of Network-as-a-Service (NaaS) due to rising AI demands. NaaS is expected to evolve into a more intelligent, automated, and outcome-focused model, termed ‘NaaS 2.0,’ enhancing real-time performance and adaptability for AI-driven enterprises.
By 2026, AI inferencing is expected to mature significantly, transitioning from experimentation to integration within enterprise IT environments. McKinsey predicts that by 2030, AI inference will comprise the majority of AI workloads.
Agentic AI, powered by inference capabilities, goes beyond enterprise applications to encompass consumer tasks such as privacy management, healthcare, scheduling assistance, and household management, as highlighted by research from the IEEE.
Colt predicts Network-as-a-Service transformation
As the Network-as-a-Service market continues to be influenced by AI, edge computing, and cloud adoption, Colt’s research indicates that 58% of 1,500 surveyed CIOs are increasing their utilization of NaaS features in response to rising AI demands.
The company anticipates that NaaS will evolve from its traditional role in supporting digital experiences to becoming intelligent, automated, and outcome-focused. This next generation of NaaS offers real-time performance, adaptability, and autonomy for AI-driven enterprises, a transformation Colt refers to as ‘NaaS 2.0’.
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