---
title: "Why the next challenge for AI looks surprisingly familiar to telecoms — Marsanne Studio AI watch"
description: "Enterprise AI adoption is now held back by governance and operational readiness rather than by model performance."
url: "https://marsanne.studio/en/ai-watch/why-the-next-challenge-for-ai-looks-surprisingly-familiar-to-96677c/"
lang: "en"
---

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Analysis · 23 September 2026

# Why the next challenge for AI looks surprisingly familiar to telecoms

Original title, in French: “Pourquoi le prochain défi de l’IA semble étonnamment familier aux télécoms”

**Publication**

Unite.AI (United States)

**Author**

Unsigned

**Published on**

23 September 2026 · read in the page metadata · updated on 23 September 2026

## Summary

The article examines a shift in the debate on enterprise AI: the central question is no longer model performance but the operational readiness and governance needed to deploy AI responsibly. It cites a McKinsey survey showing that nearly 90% of organisations already use AI in at least one business function, but few deploy it across the enterprise. According to Deloitte's 2026 State of AI study, nearly three quarters of organisations plan to adopt agentic AI within two years, while a minority consider their governance sufficiently mature. The author argues that the telecoms industry, with its experience of managing trust across networks, BSS/OSS platforms and GSMA Open Gateway APIs, is well placed to help businesses move AI from experimentation to reliable execution. Gartner forecasts that by 2027 many organisations will scale back their autonomous AI initiatives for lack of suitable governance.

Summary based on the full text of the article.

[Read the article on Unite.AI →](https://www.unite.ai/fr/enterprise-ai-governance-operational-readiness-telecom/)

## Figures cited

-   90 %
    
    share of organisations worldwide using AI in at least one business function
    
    Organisations worldwide, McKinsey survey
    
    > « Près de neuf organisations sur dix utilisent désormais l’IA dans au moins une fonction métier, mais relativement peu ont réussi à déployer l’IA à l’échelle de l’entreprise. »
    
    Source: Enquête mondiale McKinsey sur l'IA
    
-   75 %
    
    share of organisations planning to adopt agentic AI within two years
    
    Organisations, Deloitte 2026 State of AI study
    
    > « l’étude 2026 State of AI de Deloitte a révélé que près des trois quarts des organisations prévoient d’adopter l’IA agentique au cours des deux prochaines années, tandis qu’une petite minorité estime que leurs capacités de gouvernance sont suffisamment matures pour soutenir l’IA autonome à l’échelle de l’entreprise. »
    
    Source: Deloitte, 2026 State of AI
    

## Classification

**Country**

Worldwide scope

**Company size**

All sizes

**Industries**

Software vendors, IT services companies, telecoms · All industries, or industry not specified

**Companies**

GSMA (cited), Gartner (cited), McKinsey (study author), Deloitte (study author), Tecnotree (supplier)

**Keywords**

ai governance, agentic ai, telecoms, operational readiness, digital trust, autonomous ai

Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to Unite.AI. Entry translated from French by Claude Sonnet 5.5.