Simons Foundation launches $15M effort to help mathematicians navigate AI era

What has the Simons Foundation actually announced for mathematicians and AI?

On 15 October 2026, the Simons Foundation, Anthropic and OpenAI announced a combined $15 million in funding and resources to help the mathematics community adapt to AI. The Simons Foundation will manage and award the money, partly through an open call for proposals.

The money pays for workshops and initiatives on checking AI-assisted results, learning new tools and agreeing shared standards for AI use. Anthropic and OpenAI will also give selected Simons-supported researchers AI tools and computing resources, beyond mathematics and into basic science. Proposals for the Targeted Grants to Math+AI Institutes call are due 1 December 2026 at noon Eastern. Reports differ on the split between partners, so treat any per-company figure with caution.

Why should a small business care about a maths funding story?

Because it shows how serious professionals respond to AI: not by banning it or trusting it blindly, but by building ways to check its output. Mathematics is a field where a wrong answer is easy to spot in principle, and even there the response is workshops, standards and verification.

If that discipline is being funded at this level, a business using AI for customer replies, content or bookings has little excuse to publish whatever a tool produces. Your errors are harder to catch than a broken proof, and customers see them first.

Who should decide how AI is checked in your business?

You should, not the software vendor. Simons Foundation President David Spergel said:

"The community should be driving discussions of how these tools are evaluated, adopted and used."

Swap "community" for "business" and the point holds. A vendor's idea of "good enough" is built for the average customer. Yours is built around your prices, your tone, your opening hours and your legal obligations. Nobody else will write those rules for you.

How are small businesses using AI right now, and are they ready?

Adoption looks fast, but treat the numbers as directional. A Thryv 2026 survey, which I have only seen reported second-hand, reportedly put small business AI use at 66%, up from 55% a year earlier, with 70% of owners saying they need more training. Other roundups cite far lower figures for the smallest firms, with inconsistent sourcing.

Either way, the pattern is the same: use is outrunning training. The gap between "we use AI" and "we know when it is wrong" is where money and reputation get lost.

What is a practical way to verify AI output in a small business?

Write a one-page checking standard and apply it before anything goes live. It does not need to be elaborate. It needs to be specific, owned by a named person, and actually used.

1. List where AI touches customers: website copy, email replies, chat, booking confirmations, Google Business Profile posts.
2. Define facts that must never be wrong: prices, opening hours, addresses, availability, refund terms.
3. Check those facts against a source you own, such as your own website or booking system, not against the AI's memory.
4. Sample regularly: read ten real AI-handled conversations or bookings each week and log the errors.
5. Keep a human route: make it easy for a customer to reach a person.

Why does owning your infrastructure make AI easier to trust?

Because you can only verify against a source of truth you control. If your prices live on a booking platform's page, a PDF or a social post, you cannot be sure what an AI assistant, or a customer, is reading.

This is our view at Braynex Services: rented platforms are a liability, and the AI era makes that worse. AI assistants such as ChatGPT, Gemini and Google AI Overviews increasingly recommend businesses, and they draw on clear, consistent, owned information. A restaurant in Manchester that replaced a PDF menu with a live web menu saw online orders rise 34% within four weeks. Structured, current information helps people and machines alike.

What should you do this week?

• Pick one customer-facing task where AI is already involved and write down three facts it must never get wrong.
• Make sure those facts are published accurately on a website you own.
• Review a week of AI-assisted output and note every error.
• Name one person responsible for the checks.

Our opinion: the businesses that win with AI will not be the fastest adopters. They will be the ones who can prove their output is right, because customers and AI assistants both favour sources they can rely on.

If you want to know where your online presence, bookings and follow-ups are leaking money or relying on platforms you do not control, book a free audit at braynexservices.com. Braynex Services will show you what to fix first.