The numbers are stated judgments. The record began on 15 October 2026 with starting confidences that a model set as the average of five separate readings, from its general knowledge and up to ten developments for each assessment first reported in the three weeks before, after a second model had checked the developments the readings relied on, and a published rule has made every change since. They are not measured probabilities. The question and the rule are fixed before the record begins, and each change shows its evidence and its reasons. The rule and what is not claimed are on the method page.
Through 2027, Microsoft's revenue from AI grows fast enough to cover the rising cost of the capacity it builds to serve it, and that revenue comes mainly from a broad base of businesses paying for AI in its cloud and its office software.
Status: Holds The alternative is the main assessment's rival: the two cannot both be right. The thesis holds when the main assessment stands at 60 per cent or more, the condition it rests on at 50 per cent or more, the alternative below 50 per cent, and no recent change has moved toward the alternative. It is inverted when the main assessment falls below 40 per cent, when the alternative is more likely than the main assessment, or when several recent changes have moved toward the alternative. Otherwise it is strained.
As of 15 October 2026, 10:48 UTC, day 0 of the record, which began on 15 October 2026.
Last checked for news: 15 October 2026, 11:43 UTC. The update loop checks once a day, and each day’s state is written at the end of the day.
What to expect. The rule moves a number only after at least 2 independent publishers report the same development within 7 days of its first report. One development then moves an assessment by at most about 2.2 percentage points when an outlet graded high reports it, and by under one percentage point when every outlet reporting it is graded unknown. Of the 28 outlets the update loop has read for this record so far, 21 are graded unknown. Of the 4 developments new to the record since it began that the update loop has read, 1 had a second independent publisher when it read them. At these rates changes are expected to be rare.
What the thesis rests on, and what would replace it
Through the end of 2027, where does Microsoft's growth from artificial intelligence (AI) come from, and does it pay for what Microsoft spends to get it?
Microsoft's revenue from AI grows fast enough to cover the rising cost of the capacity it builds to serve it, so that through the end of 2027 Microsoft's operating profit keeps growing and Microsoft does not cut back its capital spending for lack of demand or returns.
Businesses across many industries, paying for AI in Azure and in Microsoft 365, are the main source of Microsoft's AI growth through 2027, ahead of OpenAI and the other AI model developers that rent its computing capacity, and ahead of consumers.
The cost of the AI capacity Microsoft builds rises faster than the revenue that capacity brings, so that by the end of 2027 Microsoft's operating profit stops growing or Microsoft cuts back its capital spending.
What the update loop read
Each daily state records what the update loop read in its day. Set aside means a development fitted the assessment and each of its rival explanations equally, so it carries no weight.
The reading is recorded from the record’s second day.
What the update loop read, and what the rule made of it
These are the update loop's working notes: each development it read, how it read it, and what the published rule makes of that reading. They are not part of the sealed record and they move nothing. Only a sealed change, made by the rule, moves a number.
Since the record began, the update loop has read 4 developments first reported after it began, in 4 readings, one for each assessment a development bears on. 1 reading is waiting for a second outlet, and 3 were set aside.
The daily states record what the update loop read from the record's second day, and none has been sealed yet. Both count a development once for each assessment it bears on. The daily states also count reports, while these notes list developments, and a report retrieved after the record began but first reported before it is counted in the daily states and never weighed by the rule.
Each outcome is worked out by the published rule from what the loop recorded when it read the development: its outlets then, its reading, and the challenge step's verdict once that has run. The outlet grades are the loop's own.
- Read 15 October 2026, 11:43 UTC · The condition it rests on
- “Anthropic's revenue surged by 46% but cannot ...” · chaincatcher.com · 15 October 2026 · Open the report
- “Anthropic's Q3 revenue surges 45% to nearly $17 billion” · reuters.com · 14 October 2026 · Open the report
First reported 14 October 2026. Reported by 2 outlets when it was read. Outlet grade: high, the best of them.Weakens factor R7 (Businesses choosing other providers' AI tools). Read as material.- On the assessment: less likely.
- On alternative RX1: neither more nor less likely. This tells the alternative apart from the assessment.
- On alternative RX2: neither more nor less likely. This tells the alternative apart from the assessment.
Its reason, machine-written by anthropic/claude-sonnet-4.6: Anthropic's rapid revenue growth and massive multi-year infrastructure commitments to Google and Amazon indicate a major AI model developer is scaling substantially outside Microsoft's ecosystem, suggesting business AI demand is rising through non-Microsoft channels. This weakens the thesis that broad business demand flows mainly to Microsoft, as Anthropic's growth (serving enterprise customers) is tied to Google and Amazon rather than Azure.
Outcome: Set aside: the reading's answer on the assessment contradicted its answer on the causal factor. - Read 15 October 2026, 11:43 UTC · The condition it rests on
- “OpenAI products for third parties will be exclusively on Azure: Satya Nadella” · economictimes.indiatimes.com · 15 October 2026 · Open the report
First reported 15 October 2026. Reported by 1 outlet when it was read. Outlet grade: unknown.Strengthens factor R4 (Growth that rests on a few AI model developers). Read as material.- On the assessment: less likely.
- On alternative RX1: more likely. This tells the alternative apart from the assessment.
- On alternative RX2: neither more nor less likely. This tells the alternative apart from the assessment.
Its reason, machine-written by anthropic/claude-sonnet-4.6: The report states that OpenAI products and third-party APIs will remain exclusively on Azure under the restructured partnership, reinforcing that a significant portion of Azure's AI capacity and revenue is tied to OpenAI specifically. This strengthens R4 (the share coming from a few AI model developers) and favours RX1 over the broad-business-base assessment.
Outcome: Waiting for a second independent publisher to report it, until 22 October 2026. - Read 15 October 2026, 11:43 UTC · The condition it rests on
- “OpenAI flags AI adoption gap in Europe despite 8-fold surge in agent use among small businesses” · tribuneindia.com · 15 October 2026 · Open the report
First reported 15 October 2026. Reported by 1 outlet when it was read. Outlet grade: unknown.Weakens factor R7 (Businesses choosing other providers' AI tools). Read as routine.- On the assessment: neither more nor less likely.
- On alternative RX1: neither more nor less likely.
- On alternative RX2: neither more nor less likely.
Its reason, machine-written by anthropic/claude-sonnet-4.6: The report describes OpenAI's own data on SMB agent adoption in Europe, not Microsoft's revenue or customer base. While it shows businesses using OpenAI's tools directly (which could indicate demand going to OpenAI rather than Microsoft's own products), it does not report on Microsoft's revenue mix or distinguish Azure-hosted OpenAI usage from standalone OpenAI subscriptions, so no material change to any assessment can be drawn.
Outcome: Set aside: the reading's answer on the assessment contradicted its answer on the causal factor. - Read 15 October 2026, 11:43 UTC · The condition it rests on
- “Microsoft's wild ride back to record highs in 1 chart — and the lessons learned” · cnbc.com · 14 October 2026 · Open the report
First reported 14 October 2026. Reported by 1 outlet when it was read. Outlet grade: medium.Strengthens factor R5 (Consumer AI growth at Microsoft). Read as routine.- On the assessment: neither more nor less likely.
- On alternative RX1: neither more nor less likely.
- On alternative RX2: more likely. This tells the alternative apart from the assessment.
Its reason, machine-written by anthropic/claude-sonnet-4.6: The report mentions more than 30 million paying Copilot subscribers, which indicates meaningful consumer AI uptake and strengthens R5 (consumer AI growth). However, the report does not break out revenue by segment or compare consumer versus enterprise/developer contributions, so it does not clearly shift the overall assessment or favour RX1 over the base case. The subscriber figure does provide some evidence favouring RX2 (consumers as a major source), though the report does not state that consumer products contributed a large part of AI revenue growth.
Outcome: Set aside: the reading's answer on the assessment contradicted its answer on the causal factor.
All the working notes, including 20 readings from before it began.
The latest changes
No change has been recorded yet.
The changes page lists every change (none so far), including moves the rule set aside and any the daily check refused.
Every daily state and every change is fingerprinted
Each record's fingerprint (its SHA-256 hash) joins that day's fingerprint of all such records, and the day's fingerprint is published in a public repository on GitHub. Your browser can recompute a record's fingerprint and compare it with the published one.
Today’s daily state: Fingerprint . Fingerprint pending. Records are fingerprinted each day at 23:59 UTC.
The first day, with the starting point and the rule: Fingerprint . Fingerprint pending. Records are fingerprinted each day at 23:59 UTC.
Choose a record to check. The state and the changes are also published as data: the state and the changes, as JSON Lines.
To run a thesis of your own on this machinery, write to cberzins@uottawa.ca.