AI is here, no doubt to stay. That doesn’t mean telcos are in for a straightforward ride! Read on…
In recent blogs, we’ve talked about AI from various different perspectives including sovereign AI (read the article here), autonomous networks (read here), and agentic AI (read here). The hype train is well and truly rolling, but what about the risks?
Because while for European telcos in particular, AI adoption offers major opportunities (the familiar suspects – network optimization, customer service automation, fraud detection, predictive maintenance, and new revenue streams), it also introduces several categories of risk. Those are worth familiarising yourself with, so let’s consider some of them.
Regulatory and Compliance Risk
If you work in or with European telcos, you’ll know only too well how demanding the regulatory environment is when it comes to AI and, more broadly, data use. The EU’s AI Act imposes strict requirements on AI systems, especially those deemed high-risk. Compliance with GDPR remains prerequisite when AI systems touch customer or employee data. And beyond that, telcos often handle sensitive communications and location data, all of which is an increasing focus for regulators. Failure to comply with AI-related regulation means fines, operational restrictions, and possibly reputational damage.
Privacy and Data Governance Risk
Telcos have vast datasets including location information, call records, Internet usage metadata, and customer service interaction data. It’s entirely possible that AI systems might infer sensitive attributes unintentionally, create new privacy exposures, and increase the risk of unauthorized data use. The point here is that AI requires telcos adopt new measures of governance to avoid customer complaints, investigations, and legal liability.
Cybersecurity Risk
We’ve previously noted that one of AI’s advantages is that it can strengthen security. That comes at a price, because it also expands the telco’s attack surface. For example, it brings with it new threats like prompt injection attacks against AI assistants, exposure to data poisoning of machine learning models, model theft and intellectual property leakage, and AI-generated phishing campaigns targeting employees. European critical infrastructure operators are likely to be particularly attractive targets for sophisticated threat actors.
Operational Risk
We know that telcos are already using AI in domains like network planning, traffic management, fault detection, and customer support. Despite this, even these go-to applications aren’t risk free because AI models can produce inaccurate recommendations, automated systems can make incorrect network decisions, and human oversight can be insufficient. The bottom line is that a flawed AI-driven operational decision could affect millions of customers.
Digital Sovereignty/Vendor Concentration Risk
Advanced AI capabilities generally depend on a small number of technology providers, including companies such as Microsoft, Google Cloud, Amazon Web Services, and OpenAI. For European telcos in particular, the risks here are obvious, including:
- Dependence on non-European suppliers
- Pricing power of vendors
- Geopolitical tensions
- Service outages or changes in vendor strategy
For many European operators who view digital sovereignty as a strategic issue, these are risks that cannot be ignored and will have to be addressed.
The list above isn’t exhaustive. There are other risks, too. The bottom line is that AI isn’t a panacea. European operators will have to balance innovation with reliability and because telecom networks are critical national infrastructure, they will do so under the regulatory microscope. As a result, leading telcos are already treating AI not merely as a technology project, but as a governance issue, and AI transformation programs are involving legal, security, network, HR, and business teams are being involved from the outset.
Yes, AI is great. If you thought it was risk-free, think again.
AI is here, no doubt to stay. That doesn’t mean telcos are in for a straightforward ride! Read on…
In recent blogs, we’ve talked about AI from various different perspectives including sovereign AI (read the article here), autonomous networks (read here), and agentic AI (read here). The hype train is well and truly rolling, but what about the risks?
Because while for European telcos in particular, AI adoption offers major opportunities (the familiar suspects – network optimization, customer service automation, fraud detection, predictive maintenance, and new revenue streams), it also introduces several categories of risk. Those are worth familiarising yourself with, so let’s consider some of them.
Regulatory and Compliance Risk
If you work in or with European telcos, you’ll know only too well how demanding the regulatory environment is when it comes to AI and, more broadly, data use. The EU’s AI Act imposes strict requirements on AI systems, especially those deemed high-risk. Compliance with GDPR remains prerequisite when AI systems touch customer or employee data. And beyond that, telcos often handle sensitive communications and location data, all of which is an increasing focus for regulators. Failure to comply with AI-related regulation means fines, operational restrictions, and possibly reputational damage.
Privacy and Data Governance Risk
Telcos have vast datasets including location information, call records, Internet usage metadata, and customer service interaction data. It’s entirely possible that AI systems might infer sensitive attributes unintentionally, create new privacy exposures, and increase the risk of unauthorized data use. The point here is that AI requires telcos adopt new measures of governance to avoid customer complaints, investigations, and legal liability.
Cybersecurity Risk
We’ve previously noted that one of AI’s advantages is that it can strengthen security. That comes at a price, because it also expands the telco’s attack surface. For example, it brings with it new threats like prompt injection attacks against AI assistants, exposure to data poisoning of machine learning models, model theft and intellectual property leakage, and AI-generated phishing campaigns targeting employees. European critical infrastructure operators are likely to be particularly attractive targets for sophisticated threat actors.
Operational Risk
We know that telcos are already using AI in domains like network planning, traffic management, fault detection, and customer support. Despite this, even these go-to applications aren’t risk free because AI models can produce inaccurate recommendations, automated systems can make incorrect network decisions, and human oversight can be insufficient. The bottom line is that a flawed AI-driven operational decision could affect millions of customers.
Digital Sovereignty/Vendor Concentration Risk
Advanced AI capabilities generally depend on a small number of technology providers, including companies such as Microsoft, Google Cloud, Amazon Web Services, and OpenAI. For European telcos in particular, the risks here are obvious, including:
For many European operators who view digital sovereignty as a strategic issue, these are risks that cannot be ignored and will have to be addressed.
The list above isn’t exhaustive. There are other risks, too. The bottom line is that AI isn’t a panacea. European operators will have to balance innovation with reliability and because telecom networks are critical national infrastructure, they will do so under the regulatory microscope. As a result, leading telcos are already treating AI not merely as a technology project, but as a governance issue, and AI transformation programs are involving legal, security, network, HR, and business teams are being involved from the outset.
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