Much of the discussion around Smart Data focuses on data portability, interoperability and the economic benefits of enabling data to move more freely between organisations. These are important objectives. Better use of data has the potential to unlock innovation, improve services, increase competition and drive economic growth. But for Smart Data to fulfil that promise, it must land meaningfully for millions of individuals, households and the organisations they interact with every day.

The age of AI agents is forcing us to rethink how digital relationships work. Portable identity. Machine-readable agreements. Verifiable proof. These are no longer nice-to-haves. They are becoming foundational. Because before AI can safely act on our behalf, we first need infrastructure that works on ours.

In our previous article — “Article 88b: From Cookie Banner Theatre to Portable Privacy Signals” — we explored how the EU’s proposed Article 88b could mark the beginning of the end for endless cookie banners and fragmented consent experiences.

AI Agents are moving faster than governance frameworks can keep up. AI Agents are quickly evolving from assistants into actors. They are already booking appointments, making recommendations, comparing products, generating content, moving information between systems and increasingly making decisions on behalf of individuals and organisations.

For years, the internet has trained people to click “Accept All.” Not because they truly understood or agreed to how their data would be used — but because endless cookie banners, consent pop-ups and fragmented privacy settings made meaningful choice almost impossible.

This is a real photo, taken recently by one of our team, of their vehicle’s infotainment screen. It’s asking them to review updated terms. On a screen that size. In a car. And like most drivers, they’ll click through — because what’s the alternative?

Are we about to build twenty smart data schemes… when what we really need is one smart data network?

Twenty ways to fragment the same underlying problem.

What’s needed is not twenty schemes.

It’s a single, interoperable smart data network that can support all of them—and many more.

Retail media has become one of the defining growth engines of modern marketing. What began as an extension of shopper marketing—sponsored listings, on-site placements, and closed-loop attribution—has evolved into a sophisticated ecosystem powered by first-party data (1PD), AI, and increasingly advanced measurement frameworks.

Customer Agency in Action isn’t a better chatbot. It’s not a smarter recommendation engine. It’s something more fundamental: Customers with their own agents, operating on their own data, fulfilling their own intentions. Two modes. One principle: You are in control. Not the retailer. Not the platform. Not the algorithm.

For years, we’ve talked about the idea of being on the “right deal.”. The best energy tariff. The right insurance. The optimal subscription mix. And we’ve built tools to help—search, comparison sites, switching services. But all of them share the same flaw: They are one-off decisions in a constantly changing world.

For more than a decade, the digital economy has organised itself around a familiar hierarchy of personal data. We talk about: Third-party data (3PD), Second-party data (2PD), First-party data (1PD) and Zero-party data (0PD). But today, in the evolution of personal data we see a shift to MyPD+.

It’s a familiar phrase—heard on train platforms as a warning to passengers. A small gap, perhaps. But one that, if ignored, can cause real problems. In the digital world, there is another gap. Far larger. Far more consequential.

For decades, we have lived in a state of digital serfdom. We generate an ocean of data every second—our heart rates, our spending habits, our career milestones—yet we rarely "own" any of it in a meaningful sense. Instead, this information sits trapped in corporate silos, treated either as a liability to be managed or a product to be sold.

Archimedes famously said: “Give me a place to stand, and a lever, and I will move the world.”

It’s a bold claim. But like most powerful ideas, it’s not about physics—it’s about leverage. And right now, in the digital world, individuals have almost none.

Hiring has become a data-heavy, AI-driven process that too often strips out trust, transparency and humanity. This article explores how a people-first, candidate-centric approach — powered by personal data ownership and MyTerms — could rebalance the hiring process, protect privacy, improve matching, and deliver better outcomes for both candidates and employers.

Whoever controls the server controls the context. And whoever controls the context controls the outcome. For nearly forty years, the dominant architecture of the digital world has been client–server. It powered the web. It enabled ecommerce. It scaled cloud computing. And it quietly shaped the power structure of the internet. Now it’s time for Agent-Agent.

A new technical standard, known as vCon (Virtual Conversation), is being developed within the Internet Engineering Task Force (IETF). vCon defines a structured, privacy-aware format for capturing, storing, exchanging, and analysing conversational data.

Our data shapes thousands of buying decisions every year — yet today, it mostly works against you. With AI, fiduciary agents, and MyTerms, individuals can finally put their data to work on their own terms. This article explores why that shift will redefine marketing, trust, and digital power.

Who really works for you online? Most digital services profit from your data, not your interests. At DataPal, we believe personal data now matters too much for that. Here we explore why fiduciary is becoming the most important word in data, privacy and AI—and what it changes when technology is designed to work for individuals, not platforms.

…In fact any relationship that has a digital component benefits from both parties having their own relationship management capabilities. As peers. Not the current model in which one party has the tooling and the power, and the other can only do as they are allowed. That’s clearly where we are headed with DataPal.