What the Anthropic and OpenAI IPO Filings Mean for the Tools You Rely On

Anthropic and OpenAI are both on the road to going public. Anthropic confirmed that it confidentially submitted a draft S-1 to the SEC on June 1. OpenAI is reported to have filed its own in June, though its timeline has been less clear, and a 2027 listing is still possible. As of this writing, neither company has begun trading.

You may not think of this as real estate news. But if your office uses an AI tool for document review, drafting, intake, or client communication, there's a good chance one of these two companies is somewhere underneath it. What happens to them will eventually show up in your invoice and your product.

The good news: more stability and more transparency

Anthropic reported preliminary second-quarter revenue above $11.5 billion, up from $787 million a year earlier, along with its first positive adjusted operating income. OpenAI's reported numbers look different: roughly $2 billion a month in revenue, but losses of about $1.22 for every dollar it earns.

That contrast is worth noticing. A company that covers its own costs is less likely to disappear on you. And once these companies are public, they have to publish regular financial reports. For the first time, we will get real numbers on what it costs to run AI and who is actually making money.

Brokerages and title companies are right to worry about building a workflow on a vendor that might not last. A frontier lab that pays its own way is a point in favor of committing to a platform. It isn't a guarantee, but it is the kind of stability that helps.

The catch: public companies have to answer to shareholders

Going public changes incentives. Earnings pressure tends to show up in a few predictable places:

Pricing. Some of today's low prices are subsidized by venture money. Public shareholders are less patient about that. Expect new tiers, usage caps, and price increases, especially on the tools that are cheap or free right now.
Product priorities. Features that serve large enterprise customers tend to get attention first. Smaller offices may find the plan they rely on changes or gets retired.
Terms of service. Companies under pressure to grow look for new ways to use data and new ways to charge for it. Read the notices when they arrive.
Model changes. Older models get retired to save costs. A prompt or workflow that works well today may behave differently after an update.

None of these are certain. They're patterns, and they're easy to plan for if you do it before the notice arrives.

What to check in your contracts

You probably don't have a contract directly with Anthropic or OpenAI. You have one with the vendor that built a product on top of them. That is where to look.

Price increases. Is the price fixed for the term? If not, how much notice do you get and what is the cap? Build price escalation limits into multi-year agreements.
Exit terms. Can you cancel without penalty if the price or the product changes materially? Can you get your data out, in a usable format?
Change of control. If your vendor is acquired, or the vendor's AI provider changes, are you notified? Do you have the right to leave?
Model changes. Ask which model sits under the tool and whether the vendor tells you when it changes.
Data use. Confirm in writing that your client information is not used to train models, and that this doesn't change with a new owner or a new set of terms.

What to do this quarter

Make a list of the AI tools your office pays for and the renewal date of each. Put those dates on a calendar.
Don't lock into a multi-year deal at today's price without protections. A cheap price today can look different in 18 months.
Keep a backup you have actually tried. Export your prompts, templates, and key outputs so you aren't stuck if a tool changes or disappears.
Watch the filings when they go public. The risk factors section of an S-1 is the one place these companies are required to be candid about what could go wrong. It's long, but a skim is worth your time.

What to take from this

More financial stability among the AI vendors is a good thing for those of us who depend on them. But it comes with the usual price of growing up: the era of cheap, generous AI plans is probably ending. Read your renewal terms before the next one arrives, not after.

- Jason