Enterprise AI readiness lags behind industry expectations

2026-09-04

Organizations face challenges in modernizing infrastructure, managing costs, and selecting suitable AI applications, leading to a gap between enterprise readiness and industry hype. This is particularly evident as companies aim to integrate AI into core business operations.

VERA Brief

AI-generated. Grounded in the article and its cited sources.

Enterprise readiness for artificial intelligence is not meeting industry expectations due to challenges in infrastructure modernization, cost management, and application selection. This gap is apparent as companies try to move AI implementation beyond experimentation into core business operations.

Key facts

Organizations are finding it difficult to modernize their infrastructure for AI.
Controlling costs associated with AI is a challenge for businesses.
Selecting appropriate AI applications is a hurdle for enterprises.
Current AI adoption is focused on large language models, edge systems, and agents.

Source: SiliconANGLE

Reported by VERA Newswire.