Artificial intelligence is reshaping supply chains around the world. Today, more than 70% of supply-chain organizations view AI as central to their digital transformation strategies. From predictive demand forecasting to warehouse automation and logistics optimization, AI is helping businesses improve operational efficiency while building more resilient global operations.
But as AI moves beyond generating insights to taking real-world action, one critical factor is becoming increasingly clear: intelligent systems require intelligent connectivity.
That was the focus of the “AI in Motion” panel at Mobile World Congress, which brought together leaders from across the technology ecosystem to explore how AI, cloud and programmable mobile networks are converging to transform enterprise operations.
Watch the GSMA AI in Motion Panel
From Connected Networks to Intelligent Platforms
Historically, mobile networks were viewed primarily as connectivity infrastructure – essentially “pipes” that allowed devices to communicate.
Today, that model is changing.
Mobile networks are evolving into programmable platforms, where developers and enterprises can access network capabilities through APIs and integrate them directly into applications and workflows.
This shift is significant because it allows enterprises to combine multiple layers of technology – connectivity, cloud computing and artificial intelligence – into a unified digital stack. When these layers work together, they enable a new generation of intelligent systems capable of sensing, deciding and acting in real time.
The Rise of AI Agents in Enterprise Operations
A key theme of the discussion was the emergence of AI agents and autonomous systems.
While traditional AI systems focused on analyzing data and generating insights, the next wave of AI will increasingly take action within operational environments, triggering decisions, adjusting processes and orchestrating systems dynamically.
To do this effectively, AI agents require:
- Real-time data from connected devices and sensors
- Ultra-reliable, low-latency networks
- Programmable infrastructure that allows systems to interact automatically
Mobile networks are therefore becoming an essential part of the enterprise AI ecosystem, providing the connectivity and intelligence needed for automated decision-making across distributed operations.
Why Supply Chains Are the Perfect Testbed for AI
Few industries illustrate the potential of this convergence more clearly than supply chains.
Global supply networks are complex systems involving multiple partners, constantly changing demand patterns, and risks ranging from geopolitical disruptions to logistics delays.
AI is already helping organizations improve forecasting accuracy, optimize routes and manage inventory more efficiently. But when AI systems are connected directly to programmable networks, their capabilities expand significantly.
For example, AI agents could:
- Dynamically adjust logistics routes based on real-time network data
- Automatically prioritize connectivity for critical shipments or facilities
- Coordinate warehouse automation and transportation systems simultaneously
- Monitor supply disruptions and trigger operational changes instantly
In this model, the supply chain becomes not just connected, but adaptive and self-optimizing.
Collaboration Across the Ecosystem
Another major takeaway from the panel was that no single company can build this future alone.
Supply chains and enterprise systems are inherently multi-party environments. Delivering truly autonomous and resilient operations requires collaboration between cloud providers, network operators, technology platforms and enterprise developers.
When these capabilities come together – AI, cloud orchestration, programmable connectivity and network intelligence – they unlock entirely new possibilities for enterprise transformation.
The Next Five Years: What Will Become Essential?
As the session concluded, panelists reflected on the capabilities that may seem ambitious today but could become essential for enterprises within the next five years.
Among them were:
- AI-driven operational decision-making
- Autonomous systems that coordinate across networks and infrastructure
- Programmable connectivity embedded directly into enterprise applications
- Real-time orchestration across cloud, edge and mobile networks
In other words, the future enterprise will not just be digitally connected – it will be continuously intelligent and responsive.
Watch the Full Discussion
This panel explored how AI, cloud and programmable mobile networks are coming together to reshape enterprise operations, from supply chains to smart manufacturing and beyond.
Watch the full AI in Motion panel to hear insights from industry leaders at Google Cloud, Verizon Business and Vonage, part of Ericsson.
Published March 17, 2026.