Alastair Monte Carlo has spent 21 years putting technology decisions in front of boards before the market forced them. These are his working positions on machine intelligence, written plainly, dated, and revised in public when the evidence changes. Most advisors describe the present. This page is about being early.
The Curve, From Orbit
Frontier systems already outperform median professionals across bounded analytical work. The residual gap is not intelligence, it is accountability: a signature a regulator, court, or board can hold. That gap does not close with the next model release; it is structural. Every enterprise AI decision in the next decade resolves to the same question: which human signs.
Language models digitized cognition; humanoid and mobile platforms digitize labor. The unit economics of general-purpose robots cross service-industry wage lines in specific verticals well before the general case. The winners will be the operators who ran disciplined pilots two years before their competitors, not the ones who bought hardest at the peak.
When cognition and labor are both purchasable per unit, the org chart becomes a portfolio. The firms that thrive will not be the ones that cut deepest; they will be the ones that redeploy judgment where machines are weakest: ambiguity, liability, relationships, and taste. That redesign is executive work; it cannot be delegated to the tools that caused it.
"The singularity will not arrive as an event. It arrives as a series of quarters in which the firms that prepared compound, and the firms that waited explain."Alastair Monte Carlo · briefing note to a GCC sovereign portfolio, 2026
Cognition arrived through a browser tab; labor arrives through a door. Embodied systems inherit every constraint software never had: floors, lifts, unions, insurers, weather, and physics. That is precisely why the operators who learn those constraints early compound while spectators wait for a cleaner demo.
As capability commoditizes, the defensible asset is a documented, audit-ready AI posture. Firms that can show chain-of-custody on machine decisions will win regulated revenue their faster, sloppier competitors cannot touch.
The GCC and APAC are not buying AI, they are buying independence from it being withheld. Sovereign compute, sovereign data, and sovereign talent programs will shape where the next decade's enterprise budgets land, and boards operating in these regions need counsel fluent in that geometry.
Every position on this page carries a review date and a kill condition. Future-thinking without falsifiability is astrology. The value of an advisor is not being right once; it is a documented record of updating faster than the market.
Agentic systems take over bounded office workflows. The accountability gap becomes a boardroom line item. Early robotics pilots separate operators from spectators.
Humanoid unit economics cross service-wage lines in hospitality and logistics niches. Compliance-graded AI postures start winning regulated revenue.
Org charts read as capital allocation documents. Sovereign compute blocs harden. The judgment premium, taste, liability, relationships, widens.
Recursive improvement debates stop being philosophical. The firms still standing are the ones that treated the preceding seven years as preparation.
Every horizon carries a kill condition. Positions are rescored quarterly; the ledger shows its edits.
Each position is built from operator evidence, not commentary: live engagements across three regions, vendor diligence inside real procurement, and deployment data from floors where robots either worked or did not. Positions carry dates, kill conditions, and a review cadence. When the evidence moves, the ledger moves, in public.
These positions are the standing material behind AAMC board briefings. To have them argued against your specific balance sheet, book the call.
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