Seeing the Light: From Disney’s Lanterns to Artificial Intelligence as Institutional Infrastructure.

Stories often prepare society for transformations long before technology makes them real. In the lantern scene of Tangled, accompanied by the song I See the Light, the moment of illumination is not just emotional—it is structural. Rapunzel moves from observing distant lights from a tower to inhabiting a world reorganized by them. The shift is subtle but profound: what once appeared as scattered signals becomes the architecture of her environment. Today something similar is happening with Artificial Intelligence. AI is no longer merely a tool augmenting human activity; it is gradually becoming an infrastructural layer embedded in organizations, governance systems, and knowledge flows.

When Intelligence Stops Being Scarce

For centuries, human institutions have been structured around a fundamental constraint: intelligence was scarce. Expertise resided in individuals, knowledge accumulated slowly, and organizations had to create mechanisms to manage this scarcity. Hierarchies emerged because information moved slowly through organizations. Departments were created because expertise was fragmented. Procedures and bureaucratic processes evolved because complex decisions required coordination among people who could not easily access all the relevant information. In this sense, institutions, from governments to corporations, were architectural responses to the limits of human cognition. Their structures reflected the fact that analysis was slow, expertise was specialized, and decision-making required time.

Managerial Ecosystems, SME Dominance, and Political Intermediation: A Structural Interaction

In SME-dominant economies, the structure of firms interacts with the structure of political representation.

When the productive fabric is highly fragmented – composed largely of small and family-controlled firms – political systems often reflect that fragmentation. Electoral incentives encourage responsiveness to organized micro-interests rather than to long-term structural transformation.

Technology: Cosmetic vs Structural

Over the past decade, digital transformation in public institutions has largely been measured by visible outputs: new portals, chatbots, dashboards, mobile apps.

Today, with artificial intelligence entering mainstream governance, the distinction is becoming sharper — and more consequential.

We are witnessing a divide between cosmetic technology adoption and structural transformation.

The difference determines whether AI becomes a marginal efficiency layer or a foundational shift in how institutions think, decide, and evolve.

AI Optimism in 2026: From Java on Mars to Institutional AI — Why This Moment Feels Structurally Different

Last week’s announcements in artificial intelligence were not incremental improvements. They were structural signals.

From national policy reinforcement in Asia to frontier scientific acceleration in the United States, the pattern is becoming clear: AI is no longer experimental infrastructure. It is becoming institutional infrastructure.

For those of us working deeply with public sector systems — governance models, risk frameworks, digital architecture, institutional memory design — this is a decisive transition.

When Organizations Tried to Think: From 1990s AI to Agentic Systems

In the 1990s, we attempted this with expert systems, decision-support tools, and knowledge bases. They promised consistency, speed, and rationality — a way to turn human expertise into software. What they lacked was language, adaptability, and scale. Today, with large language models and agentic architectures, we are revisiting the same ambition under a new technical regime: systems that can interpret goals, reason over unstructured information, and act across digital processes.

Apple, Siri, Gemini, ChatGPT: A Story of Marriage and Divorce

 At first glance, the recent convergence between Apple and generative AI looks like a love story.
In reality, it is a contract.

The metaphor that best explains what is happening is not technological, but human. Much like Story of a Marriage, this is a story about alignment that works—until it doesn’t. About two parties with shared interests, different tempos, and ultimately divergent identities.