Standards are strategy.

The Rewrite

Most boards treat technical standards as an engineering matter. Something to comply with later, after the strategy is set.

That order is now backwards.

In markets being rewritten by AI, the standard often is the strategy. When an industry agrees how to label AI-generated content, how to verify a digital identity or how to describe a 3D scene, it is also deciding who can play, what customers will expect and which products count as trustworthy. The companies in the room shape those answers. Everyone else adapts to them.

We see this from the inside. Hkdolts contributes to the C2PA content provenance specification, chairs work at the Metaverse Standards Forum and helps govern ecosystems at Trust Over IP. The pattern is the same in each one: the specification turns into procurement criteria, then regulatory expectations, then customer defaults. That usually happens within a few years, often faster than strategy cycles notice.

The question isn't "Which standards must we comply with?" It's "Which standards will define our market, and do we have a voice in them?"

The Business Case

• Market access. A standard can become a buying requirement. Being early lowers the cost of conformance and can mean writing requirements your products already meet.
• Cost of being late. Reworking products after a standard settles costs far more than designing for it from the start.
• Influence. Working-group seats are open to companies willing to commit expert time. The barrier is attention, not budget.
• Signal. Visible standards participation tells customers and regulators you're building for trust.
• What to measure. The standards in your value chain, your participation level in each, and how far your roadmap depends on unsettled specifications.

Standards Watch

• C2PA 2.4 (published April 2026) adds an AI disclosure assertion, a standard way to declare that AI was involved in creating content. What it means: if you publish, distribute or generate media, disclosure is moving from a policy choice to a technical expectation.
• Metaverse Standards Forum. The Standards Register and Use Case work maps which standards apply to which real-world uses. What it means: a practical map for anyone investing in spatial computing or digital twins.
• Trust Over IP. Ecosystem governance frameworks set how parties in a digital trust network agree on rules. What it means: identity and trust ecosystems are being designed now, along with who runs them.

Tech Radar: Content Provenance

• What it is. A tamper-evident record attached to digital content, showing where it came from and how it was changed, including whether AI was involved.
• When it matters. Wherever trust in content carries value: media, advertising, insurance claims, e-commerce imagery and corporate communications.
• What to do now. List where your organization creates or relies on digital content, find where authenticity is a risk, and test provenance on one high-value workflow.

The Board Question