AI Brief.

The week in AI. What matters at work.

 Epic Motion
AI Brief · Issue 1 · 3 November 2026 · 5-minute read

From Robin

Welcome to the first AI Brief: one email every Tuesday on the AI developments that matter at work, and what they mean in practice.

AI is now moving at a relentless pace. I have to keep up, because making sense of AI is my job. So this newsletter is my way of sharing what I find relevant and read each week.

Every story links to a source so you can read more, and you'll get the failures as well as the wins. You don't need to be technical to read it.

First a personal thank you for signing up. It should take just 5 minutes or less of your time to read each week, and I know your time is valuable. All feedback is welcome, appreciated and I will read it all personally.

Robin Brown

Founder, Epic Motion

The week in 30 seconds

AI usage costs can halve in one release, so continually evaluate the models available in your enterprise. A Big Four firm runs outsourced finance on one platform; Microsoft's buyout offer reportedly reaches its AI teams too.

Number of the week

Up to 60,000

Microsoft staff eligible for voluntary buyouts.

Source: The Verge

In this issue

01Anthropic's IPO: mostly billed by use
02PwC UK: outsourced finance on FloQast
03Microsoft offers buyouts to 60,000 staff
04OpenAI halves mid-range API prices
 
 

Top stories

01   Business   Anthropic · IPO filing

Anthropic's IPO filing shows most of its revenue is billed by use

What changed: Anthropic has filed for a Nasdaq listing, and four-fifths of its revenue is billed on actual usage rather than subscriptions. Existing customers spend nine times what they did a year ago. An amended filing on 2 November shows nearly $17bn of third-quarter revenue, against operating costs of around $17.5bn, according to reports on the filing. Anthropic has committed $895bn to computing power and data centre leases.

Why it matters: A supplier with fixed compute bills and income that rises with use needs its customers to keep using more.

Source: The Decoder
 
 

02   Professional services   Tax and accounting · PwC UK and FloQast

PwC UK moves its outsourced finance work onto accounting platform FloQast

What changed: PwC UK will now use FloQast directly to run its finance managed services. Its teams will do clients' month-end closing, account reconciliations and regulatory compliance in the platform, which a PwC UK partner calls 'AI-enabled delivery'.

The catch: It's unclear if PwC firms in other countries will run client work this way.

Why it matters: A Big Four firm is moving from advising on these platforms to running client work on one.

Source: International Accounting Bulletin
 
 

03   Work and jobs   Microsoft · Voluntary buyouts

Microsoft offers buyouts to up to 60,000 staff, reportedly including AI teams

What changed: Microsoft is offering voluntary buyouts to up to 60,000 employees in the US, UK, Canada and India, about a quarter of its 223,000 or so staff. Sources told The Verge that teams working on Copilot, CoreAI and other AI products are eligible.

Why it matters: The buyouts aim to trim staff without another round of layoffs, and The Verge's sources say even AI teams are in scope.

Source: The Verge
 
 

04   Models and tools   OpenAI · Pricing

OpenAI's new mid-range model halves its API prices

What changed: OpenAI has released GPT-6.1 Terra at half the API price of its predecessor. It costs $1 per million input tokens (units of text) and $5 per million output tokens, against $2 and $10 for Anthropic's Claude Sonnet 5.5 and $2 and $12 for GPT-5.6 Terra. Artificial Analysis scored it 48 on its Intelligence Index at launch, between OpenAI's larger GPT-6.1 Sol (52) and its predecessor (42).

GPT-6.1 Terra charges half Claude Sonnet 5.5's output price

GPT-5.6 Terra
 
$12
Claude Sonnet 5.5
  
$10
GPT-6.1 Terra
  
$5
Source: The Decoder. Pink marks the latest figure.

What to do next: Teams looking after enterprise AI systems should continually review new models available to optimise cost and quality.

Source: The Decoder
 

Models and tools

What's new this week

ModelWhat it's for

Mistral Large 4

Mistral
29 October
Open weights

A cyber defence model a firm can run on its own servers.

Benchmark: 26 on the Artificial Analysis Intelligence Index, a score built from nine tests (higher is better), against 54 for Anthropic's Claude Sonnet 5.5.
Access: Weights to download on Hugging Face, or through Mistral's API.
Sources: TechCrunch and Artificial Analysis

Gemini 4 Carbon

Google DeepMind
28 October

A frontier model aimed at cybersecurity and long, multi-step tasks.

Benchmark: 59 on the same index, against 58 for Anthropic's Claude Opus 5.5.
Access: A subset of cyber defenders, then more trusted partners.
Price: An introductory $2 per million input tokens and $10 per million output tokens.
Sources: Google DeepMind and Artificial Analysis
 

Research worth knowing

Research   OpenAI · Maths and computer science

OpenAI says its models have disproved a widely believed assumption in computer science

OpenAI says its models have disproved the Exponential Time Hypothesis. Three outside computer scientists, two of whom helped propose the hypothesis in 1999, will examine OpenAI's proof against it.

The catch: These are OpenAI's claims until the checks report.

Source: The Verge
 
 

Research   Anthropic study

Experts adopt an AI agent's coin-flip views as their own

What changed: Anthropic gave 50 professional analysts an AI agent whose lean on each judgement call was secretly set by a coin flip. On four analytical choices they went with its lean 86% of the time, and 77% later explained their choices with its arguments, but only 15% credited the agent.

The catch: Anthropic tested its own model with a lean strengthened on purpose, and says the effect might be smaller without that.

What to do next: Before a reviewer signs off AI-assisted work, ask which judgement calls they made, and what the other option was.

Source: Anthropic, via The Decoder
 

Try this

Make your AI argue both sides first

From the study above: before your firm's approved AI tool gives its view on a judgement call, ask it to argue both sides.

Copy this prompt

I need to decide [describe the decision, no client data]. Before you say what you would choose, set out the strongest case for each option and why a careful expert might choose it. Then ask me which I prefer and why. Only after my answer, give your own view.
10 minutes · any approved assistant · no client data needed
Source: The Decoder
 

Also this week

Professional services

Anthropic and buyout firm Hg reportedly plan a European AI consultancy. Due by the end of 2026, it would compete more directly with Accenture and the Big Four. It follows Ode, a US services company Anthropic established earlier this year, and a similar venture OpenAI launched with private equity firms in May.

The Next Web

Professional services   Consulting

Cognizant puts more than 25,000 staff behind OpenAI's Codex and ChatGPT for clients. It isn't betting on one model maker: days earlier, it put 18,000 staff behind Google's Gemini.

The Next Web

Professional services   Law

Claude for Legal adds ready-made legal workflows, some built with law firms. Examples include a subpoena response tool built by PwC and an obligations checker built by Foley & Lardner.

Artificial Lawyer

Business

Capital One says smaller AI models made its car-buying assistant five times faster. The models, made from open-weight models it fine-tuned on its own data, also lifted customer engagement for dealers by 50%, its chief enterprise AI officer said.

CIO Dive

Business

ChatGPT's Plus, Pro and Business plans will share one token budget across ChatGPT and Codex from December. Chats with Instant models won't count toward it, but advanced models and complex tasks use more, so some users may wait for resets more often.

ZDNET

This is issue one, and I'll keep improving it. What would make it more useful to you? Reply and tell me which sections work, which topics you want and what's missing. I read every reply.

Robin

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AI Brief by Epic Motion

The week's AI developments that matter at work, and what they mean in practice. Facts link to their sources; the practical points are our analysis. AI helps find and draft the stories. Each fact is checked against its source, and I approve every issue before it goes out. AI Brief is general information, not legal, tax or financial advice.

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