Insights from Jon Shamah: A Global Perspective on Digital Identity and Transformation

Artificial intelligence has become the latest technology to attract apocalyptic headlines. We are told that AI will take every job, destroy democracy, make independent thought impossible, or even threaten humanity itself. Some of these concerns deserve serious attention. Others resemble earlier technology panics around the internet, eCommerce, cloud computing and digital identity: important transitions framed as existential threats before society had properly understood the benefits, the limits and the required safeguards.

In the digital age, determining truth is no longer simply a matter of finding information. We live in a world where vast amounts of content are created, shared, and consumed every second, making it essential to evaluate both the information itself and the technologies that deliver it. Truth-seeking therefore requires a combination of critical thinking, information literacy, and digital literacy.

When resilience is discussed today, the conversation almost inevitably turns to cyber resilience. Organisations are investing heavily in protecting systems, securing networks, managing incidents, and ensuring continuity in the face of increasingly sophisticated threats. This focus is entirely appropriate. Resilience should be considered from the earliest stages of system design, not added as an afterthought.

Modern government depends on technology. Digital systems administer benefits, protect borders, detect fraud, manage public health, support policing and help agencies respond to emergencies. Used lawfully and proportionately, these tools can make the state more efficient and accessible. The danger arises when technical capability becomes a substitute for democratic justification. A system may be able to collect, connect and analyse information at enormous scale, but that does not mean that every possible use is necessary, fair or legitimate. The central issue is therefore not whether governments should use technology, but how power is constrained when technology makes observation, classification and intervention unusually easy.

The digital environment is moving from a world of software tools to a world of software actors. Traditional applications wait for a person to issue a command. Increasingly, artificial intelligence systems can interpret a goal, select tools, exchange information, initiate transactions and produce outputs with limited human intervention. Some will remain tightly controlled assistants. Others will operate as agents across organisational boundaries, interacting with people, companies, public authorities and other machines.

Trust is not a universal constant. It varies in degree, meaning and operational consequence across environments, countries, legal systems, institutions and cultures. In international settings, this variation matters because the same word—trust—may refer to legal recognition, technical reliability, institutional confidence, cultural familiarity, commercial risk tolerance, evidential assurance, or personal confidence in a counterparty. A digital identity or trust service that is accepted in one jurisdiction may therefore require contextual interpretation before it can be relied upon in another.

One of the most significant challenges of the digital age is determining who owns information, defining the practical scope of privacy, and enabling individuals to make informed decisions about their data. As technology becomes increasingly embedded in everyday life, the distinctions among privacy, anonymity, and publicly available information can no longer be treated as matters of abstract academic inquiry. They are material considerations affecting every person who uses digital services, social media platforms, online marketplaces, healthcare systems, and government services.

The public conversation about artificial intelligence is shaped as much by language as by technology. The term “AI” is now used for everything from chat assistants and image generators to fraud alerts, automated emails and simple rule-based processes. For many people, the experience looks the same: a computer carries out a task that once needed a person. It is easy to see why AI and automation are often treated as the same thing. Yet this small-looking confusion has important effects on trust, responsibility and the quality of decisions made by organisations and individuals.

Europe is heading into an important period for digital wallets, although how quickly people adopt them depends on what we mean by a “wallet”. Payment wallets such as Apple Pay, Google Pay and PayPal are already part of everyday life in many markets. Identity wallets, which can hold official credentials, prove personal details and support electronic signatures, are only now moving beyond trials and into wider use.

A visual identity card or a mobile credential remain useful evidence in face-to-face settings, but they are not, by themselves, complete verification mechanisms. For routine and low-risk interactions, a trained person may reasonably inspect a card or phone image, compare the portrait with the presenter and check obvious security features. As transaction value, legal consequence or fraud exposure increases, however, policy should require stronger evidence that the credential is authentic, current, bound to the person presenting it and being used with authority. This distinction matters because an identity check should be judged by the confidence it creates, not simply by whether a document was displayed.