• Open-Source Software and Sovereign Markets

    For years, regulation has been seen as a limitation on European technology. But what if sovereignty, privacy, and open-source infrastructure become competitive advantages instead?

  • Gruntwork and drafting monkeys

    We often talk about AI replacing jobs, but rarely about the value of the jobs we are trying to replace. Some of the most repetitive and unglamorous tasks in a profession are precisely the ones that build judgment, expertise, and institutional knowledge. In our rush to automate grunt work, we may be eliminating the very…

  • The Illusion of the AI Startup

    Many AI startups are not really building products—they are reselling access to someone else’s infrastructure. Without proprietary data, expertise, or a real differentiator, the business may be far more fragile than it appears.

  • BIM and Cybersecurity Are Built on Opposing Philosophies

    BIM and cybersecurity are built on fundamentally different philosophies. One depends on transparency and collaboration, while the other relies on compartmentalization and limited access. As infrastructure becomes increasingly digital, that contradiction may become one of the industry’s greatest vulnerabilities.

  • When Buildings Exist in Two Realities

    As infrastructure becomes both physical and digital, the risks we face are no longer confined to the visible world. BIM, CDEs, and data-rich models are expanding the attack surface of the built environment, forcing practitioners to rethink security as a core design responsibility.

  • BIM, IM, and the Real Challenge of ISO 19650

    The upcoming ISO 19650 revision might introduce conceptual shifts such as BIM becoming IM. But in practice, terminology matters less than contracts, adoption cycles, and the realities of industry implementation.

  • An army without soldiers: The Illusion of the AI Employee

    AI doesn’t eliminate the need for institutional knowledge. Replacing juniors with automation may boost short-term efficiency, but it destroys redundancy, weakens expertise, and risks long-term systemic collapse.

  • What we have is a money problem

    AI isn’t the root of the coming crisis. It’s an accelerant in a system already strained by middle-class decline and extreme wealth concentration. What we have isn’t a tech problem—it’s a money problem.

  • The User Is Still the Vulnerability

    Agentic AI promises convenience but amplifies human vulnerability. As tech gains deeper access to our devices, the real risk isn’t the tools — it’s uninformed users handing over control.

  • AI, Truth, and the Decline of Collective Judgment

    AI swarms threaten democracy less through deception than through exploiting moral fatigue and social fragility. The real defense lies not in regulation alone, but in individual responsibility and collective intellectual agency.