he race for AI has become the new black, the dominant obsession of our time, the trend no institution, company, or government wants to appear to miss. It is framed as progress, justified in the name of competitiveness, and presented as inevitable.

Anthropic recently published a study presented as evidence about AI’s early labor-market impacts. Yet the paper’s empirical core comes from a much narrower source than its title suggests: Claude conversations and API traffic. That makes the study much less decisive as a measure of AI’s labor-market impacts across the economy.

OpenAI has announced that its latest experimental reasoning LLM, referred to internally as the “IMO gold LLM”, has achieved gold‑medal level performance at the 2025 International Mathematical Olympiad (IMO). Unlike specialized systems like DeepMind’s AlphaGeometry, this is a reasoning LLM, built with reinforcement learning and scaled inference, not a math-only engine.

Some are fixated on expecting or achieving so-called Artificial General Intelligence (AGI), which they interpret as an AI system capable of performing a number of tasks—reducing what they call intelligence to merely completing tasks and defining greater intelligence solely by evaluating the performance of those tasks' execution compared to humans.

The importance of identity as a human right cannot be underestimated, especially when considering the broader implications for economic empowerment and social stability. In countries where a robust identity system is not in place, people often possess potential assets but lack the formal recognition needed to leverage them effectively.

There has been considerable speculation recently about the potential of generative AI to significantly boost worker productivity. However, among the challenges companies face when deploying genAI, there is one that is particularly unique to business and applies to any solution an organization might consider deploying: the realization of return on investment.

Some innovative projects will become viable businesses. Most innovative projects won’t. There is no miraculous recipe. This being the...