At a time when businesses are grappling with the practical realities of artificial intelligence, automation and data sovereignty, a quieter but far more consequential shift is taking shape beneath the surface. Connected machines are no longer simply feeding dashboards or optimising processes. They are beginning to act, decide and transact. This evolution marks the emergence of what many now describe as the economy of things, a new digital paradigm in which machines participate as economic actors rather than passive tools.
At the centre of this shift sits Pairpoint by Vodafone, a platform designed to give connected devices the attributes they need to operate autonomously and securely within commercial ecosystems. Speaking with Business Enquirer Magazine, David Palmer, Chief Innovation Officer at Pairpoint by Vodafone, frames the opportunity in practical terms. “A thing is just a connected device or machine, but more and more of the business process now involves connected machines that are producing data and actively updating the process itself.”
What distinguishes the current moment is not connectivity alone, but interoperability. While connected devices have been embedded in industrial systems for years, they have largely remained confined within proprietary environments, sharing data internally but rarely across organisational boundaries. Palmer points to familiar enterprise software environments such as SAP as an example, noting that while these platforms operate exceptionally well within individual organisations, sharing trusted data across multiple companies and value chains remains difficult. The economy of things seeks to address this limitation by enabling devices owned by different organisations to interact, exchange data and execute transactions with confidence.
Trust is the cornerstone of this shift. As machines begin to transact independently, the question becomes not whether they can connect but whether they can be trusted. Palmer describes trust as multifaceted, encompassing authentication, data provenance, regulatory compliance and protection against malicious behaviour. “Can you trust the data? Do you know where it has come from? Can you authenticate it and ensure it sits within regulation and privacy frameworks?” he asks. Without these assurances, the promise of machine to machine commerce quickly unravels.
Artificial intelligence both accelerates and complicates this transformation. AI is rapidly becoming embedded at the heart of modern business models, and its effectiveness is determined almost entirely by the quality, reliability and relevance of data. Palmer is clear that the next phase of AI innovation will rely far less on public data and far more on sector specific, operational data generated directly by machines. Public data sources have largely been exploited, and they are of limited value when AI is applied to core business processes. The future lies in real time and time series data produced by billions of connected devices operating across industries.
Yet as AI systems grow in influence, the risks associated with security, misuse and regulation increase in parallel. Palmer highlights the growing threat from deep fakes, the potential manipulation of data, and regulatory frameworks that are still evolving in response to rapid innovation. In this environment, Pairpoint by Vodafone’s emphasis on authentication and cryptographic assurance becomes foundational rather than optional. “You have got to be able to trust the data that is going into your AI models and trust the ecosystems they operate within,” Palmer explains.
Pairpoint by Vodafone’s origins within Vodafone give it a distinctive position in addressing these challenges. Global connectivity infrastructure underpins some of the most critical sectors of the economy, from banking and utilities to logistics and telecommunications, all of which operate under stringent security and reliability requirements. Palmer views Pairpoint by Vodafone as an extension of this heritage, building a new layer of digital infrastructure suited to a world of autonomous systems, embedded payments and decentralised data exchange.
This infrastructure brings together managed connectivity, cloud platforms, web3 technologies and AI management capabilities. Palmer describes it as the foundation upon which companies, and even national economies, will increasingly compete. In this context, the role of telecommunications and trusted networks expands well beyond bandwidth, becoming central to the governance and operation of intelligent systems.
A defining capability of Pairpoint by Vodafone is digital identity for machines. In the economy of things, devices require far more than a network connection. They need a verifiable identity, the ability to hold credentials, and the authority to act on behalf of individuals or organisations. Palmer explains that machines must be able to operate within delegated frameworks, with defined permissions and accountability. This enables them not only to share data, but to participate in economic activity.
This capability becomes particularly compelling when applied to autonomous mobility. Palmer frequently returns to robo taxis as a practical example. Unlike conventional vehicles, autonomous systems cannot rely on a human driver to manage payments or transactional decisions via a mobile phone. Instead, the vehicle itself must be capable of charging passengers, paying for services, settling tolls and interacting with infrastructure. “That robo taxi can essentially take money from me for a ride, but pay a service provider based on different conditions and permissions,” Palmer explains. This concept of an intelligent point of sale transforms machines into active economic participants within cities and transport networks.
Underpinning this vision is a security architecture designed for long term resilience. Pairpoint by Vodafone places a strong emphasis on encryption, digital signing and what Palmer describes as quantum ready security. As computing power evolves, traditional security models will face increasing pressure. Securing data at the edge, where it is generated and acted upon, is therefore critical to protecting systems before vulnerabilities can propagate.
Partnerships are central to scaling these capabilities. Palmer is clear that no single organisation can build the economy of things alone. Pairpoint by Vodafone has adopted an ecosystem approach, working with partners that bring complementary expertise across payments, systems integration and application development. One of the most prominent of these partnerships is with Mastercard, selected for its leadership in embedded and automated payments. Together, the organisations are aligning trusted connectivity with authenticated payments, enabling machines to transact securely at scale.
Beyond payments, collaboration with systems integrators and technology partners allows Pairpoint by Vodafone to accelerate deployment while maintaining high standards of security and reliability. Palmer points to IDPP as a key contributor during the development phase, providing specialist resources and delivery capability aligned to the platform’s long-term ambitions. He views this partnership driven approach as pragmatic and outcomes focused. The objective is to assemble the strongest possible platform to deliver real value to customers, not to own every component of the stack.
Despite the evident potential, Palmer is candid about the pace of adoption. Enterprise transformation, particularly in regulated and safety critical sectors, takes time. Pilots demonstrate what is possible, but widespread deployment depends on organisations committing to structured transformation journeys. Pairpoint by Vodafone’s approach is therefore grounded in delivering practical value today while preparing customers for more autonomous systems in the future.
Interoperability remains one of the most important factors in achieving industry wide adoption. Pairpoint by Vodafone operates as a separate, multi telco entity, ensuring customers are not locked into a single connectivity provider. This approach builds confidence and reflects the realities of global, multi network operations. Engagement with standards bodies across telecommunications, payments and industry verticals also plays a role, balancing openness with the need to demonstrate commercial value.
Security, however, remains the defining concern. Palmer does not underestimate the risks inherent in machine driven commerce. The ability for devices to transact autonomously introduces new attack surfaces and new incentives for bad actors. Protecting against fraud, data manipulation and regulatory breaches requires an end to end security model that combines encryption, authentication and governance. For Pairpoint by Vodafone, these considerations are central to platform design. “We know the technology works,” Palmer says. “The real challenge is how you do it securely and in line with regulation.”
Looking ahead, the next two years are set to be decisive. Palmer highlights the transition from pilots to live customer deployments as a key milestone, alongside the expansion of the ecosystem itself. With Vodafone’s wider IoT estate already supporting hundreds of millions of connected devices globally, Pairpoint by Vodafone has set ambitious targets for the number of machines actively transacting on its platform. Success will ultimately be measured in customer adoption, revenue generation and ecosystem scale.
For Palmer, the moment is defined by convergence. Cloud computing, AI, digital identity, fintech and autonomous systems are coming together in ways that were not previously possible. “What a time to lead innovation,” he reflects. Importantly, Pairpoint by Vodafone is not positioned as an experimental innovation lab, but as a live commercial platform delivering value in the market today.
When considering where the platform can have the greatest long term impact, Palmer returns to the relationship between connected devices and artificial intelligence. If Pairpoint by Vodafone can serve as a trusted bridge, enabling machines to provide high quality, authenticated data into AI models, the implications are profound. “That will fuel the next generation of business AI,” he says, enabling companies to drive deeper automation and more intelligent decision making across their operations.
In this vision, the economy of things is not a distant abstraction but an emerging operational reality. Machines are already embedded in the core of modern business. Giving them identity, trust and economic agency allows organisations to unlock entirely new forms of value. For leaders navigating the next phase of digital transformation, the message is clear. The future will be defined not simply by intelligent machines, but by the trusted systems that allow them to operate safely, securely and at scale.