The Strategic Role of Telecom Providers Across the AI Value Chain 2026

Sovereign AI platform and model services –Revenue: ❹ High subscription and platform revenues, especially in regulated sectors –Customer satisfaction: ❺ Critical for ensuring policy compliance, governance and aligned model behaviour –Cost: ❷ Requires substantial investment in ModelOps and platform capabilities –Complexity: ❷ High due to multi-tenant, regulated and compliance-driven deployment requirements –Value rationale: High recurring value where sovereign AI programmes are active Sovereign AI use cases –Revenue: ❹ High-value vertical applications in national health, energy and public safety –Customer satisfaction: ❺ Trusted, high-impact solutions aligned with public-sector and national priorities –Cost: ❸ Moderate to high investment depending on depth of vertical integration –Complexity: ❷ Requires deep regulatory compliance and industry integration –Value rationale: Attractive where governments prioritize local AI solutions in critical sectors AI safety and security –Revenue: ❸ Monetized primarily through bundling into sovereign and enterprise AI solutions –Customer satisfaction: ❺ Trust, assurance and safe operation are essential for AI adoption in regulated sectors –Cost: ❹ Primarily software and policy frameworks with relatively low incremental cost –Complexity: ❸ Requires governance and monitoring processes but manageable relative to other AI services –Value rationale: Essential capability, but limited as a standalone commercial engine The Strategic Role of Telecom Providers across the AI Value Chain 26