A tool, or a colleague of your advisor? An institution can only personalise how it handles your money — never attention to you. What the friendly AI really is.

On 19 May 2026, from the I/O stage in Mountain View, Sundar Pichai, the CEO of Google, declared that the company he leads had entered its “agentic Gemini era.” The announcement was accompanied by a slate of products — Gemini Omni and Gemini 3.5, new agentic experiences in Search, an agent-first development platform called Antigravity, and Gemini Spark, a 24/7 AI agent that runs in the background on Google Cloud and continues working when the user closes their laptop. The Gemi

The Russian Revolution of 1917 is remembered as the fall of an Empire. The end of a dynasty, the violent transformation of a society, the redrawing of a sixth of the world’s land into a state operating on principles entirely opposed to the one it replaced. That is the version the histories keep, and within its terms it is accurate. But a revolution against a class is also, unavoidably, an action upon every family of that class — and the action took several forms. Most of them

The Cold War is remembered as a division of the world. Two systems, two alliances, a contest measured in warheads and proxy wars and the territory each side could hold and deny the other. That is the version the histories keep, and within its terms it is accurate. But a division of the world is also, unavoidably, a division of the families who were living across the line when it was drawn — and the line was drawn through a great many of them. For four decades the Cold War wor

Of the four worlds the Decision-Maker occupies — wealth, art, philanthropy, lineage — the last is the most recorded, and the most full of deliberate gaps. Genealogy, the reading of the lineage, is the discipline in which what is missing matters most. Mass AI and the genealogical platforms handle the surface fluently. They assemble names, dates, places. They suggest records, propose matches, extend a tree backward with apparent confidence. For a documented family, they will pr

The Decision-Maker lives in four worlds — wealth, art, philanthropy, lineage. Art is the most visible of them — and a collection is never a list of works. It is a personal statement, the most visible thing about its owner, and the most easily misread. Mass AI handles the surface fluently. It identifies the artists, places them within movements, locates them in market trajectories, summarises critical reception. A Decision-Maker asking what a particular work is, or what a part

The Decision-Maker lives in four worlds — wealth, art, philanthropy, lineage. Wealth is the most documented, and the most easily misread. Mass AI handles the vocabulary fluently. Discretionary trusts, family limited partnerships, holding structures, jurisdictional layering, generation-skipping vehicles — the terms are explained with confidence, the mechanisms described with precision. A Decision-Maker asking what a particular instrument is, or how it generally functions, will

Mass AI can answer almost any specialist question. That is precisely what makes it so easy to mistake for a specialist. The Decision-Maker asks a particular question — about a collection, a structure, a lineage, a foundation — and a credible-sounding response arrives. The answer is fluent. It uses the right vocabulary. It cites the right references. It satisfies the form of the question. On the strength of that fluency, the instrument is taken to be specialist. It is not. It