Scaling trusted AI and data products: shaping new pathways for AI-native 6G

Wireless has always evolved to meet the needs of its time. The next decade will be defined not just by faster speeds, but by the convergence of digital and physical intelligence at planet-scale. As AI systems move from assisting decisions to making them in real time, networks must evolve from carrying bits to coordinating intelligence across vehicles, robots, sensors, and the network itself. This shift is why AWS is joining the TM Forum AI & Data Mission Board: to help the industry build trusted, secure, and scalable Data and AI products for today's networks, while shaping concrete pathways for AI-native 6G.

Three barriers to AI-native networks

AI-native 6G is a necessity for the future—yet three fundamental barriers stand in the way.

Data Fragmentation: Today's networks are data-rich but intelligence-poor, fragmented across proprietary vendor formats, operational boundaries, and disconnected governance frameworks. This makes it difficult to build AI systems that can safely discern the full scope, learn from it, and act across all dimensions while meeting sovereignty, privacy, and regulatory requirements. This is the foundational constraint—first barrier to unlock.

The Everywhere Problem: 6G must work reliably everywhere, for everyone and everything, across three dimensions of unprecedented variance. Spatial variance: Intelligence must traverse urban grids, maritime corridors, remote regions, and satellite constellations with seamless handoffs. User variance: Networks must simultaneously serve humans, virtual AI agents, and physical AI systems—autonomous vehicles, robots, drones—each with conflicting requirements. Service variance: Applications demand different priorities across price, power, performance, security, and sovereignty. This Everywhere Problem exposes the gap between design intent and lived experience. It cannot be solved on paper or in isolated lab tests—it demands experiential validation at scale.

The Sustainable Scale Problem: As intelligence becomes ubiquitous, the system must scale efficiently across devices, edge sites, clouds, and space systems through multi-dimensional optimization for price, power, performance, security and sovereignty. This determines whether 6G can operate economically at planet scale.

Why experiential validation matters

Experiential validation requires a radical shift. To validate experiences, service providers need a unified, sovereignty-aware data foundation that represents how networks, applications, and environments behave together. They need AI systems that can be trained on this foundation, simulated in physics-compliant digital twins, and then deployed into production with clear guardrails and observability. They need to know not only that a handover between terrestrial and satellite coverage works in theory, but that it behaves as expected for a specific class of users, in a specific place, under specific conditions—repeatedly, safely, and economically.

This is where our vision for Hypercomposed Networks connects directly to the TM Forum AI & Data Mission. Hypercomposed Networks depend on intelligence embedded throughout the fabric, but that intelligence is only as good as the data and validation processes that shape it.

Three concrete commitments

By joining the TM Forum AI & Data Mission Board, AWS is committing to work with telecommunications service providers and partners on three concrete objectives.

First, to help define secure, trusted shared data and AI foundations that unlock hidden monetization potential through scalable Data and AI products. This includes shared models, governance patterns, and reference architectures that make it easier to build and operate AI systems across heterogeneous networks.

Second, to advance experiential validation as a first-order principle for networks. This means connecting training, simulation, and deployment in a continuous loop, where physics-compliant digital twins and synthetic data generation test multi-dimensional scenarios before they reach production, and where real-world feedback continuously improves the underlying models.

Third, to ensure that the path to AI-native 6G is practical and incremental. Telecommunications Service Providers need systems that help unlock existing investments, deliver measurable business value, and build confidence step by step. The goal is not a single "big bang" transition, but a series of well-validated capabilities that make networks more intelligent, resilient, and efficient over time.

An industry challenge

This new experiential pathway to AI-native 6G will not be chartered by any one company or technology. It will be solved by an industry that agrees on how data is managed, how AI is governed, and how experiences are validated before customers depend on them. TM Forum's AI & Data Mission is taking on the charter to bring this all together, and AWS is committed to support with the underlying substrates that make it real.

The path to AI-native 6G starts with collaboration. Join us at TM Forum AI and Data Mission Board in defining the data foundations, validation practices, and architectural patterns that will shape the next generation of wireless. Bring your perspective, your challenges, and your vision—together, we'll make AI-native 6G real for customers everywhere.