QWE AI Academy By the end of this tutorial, you’ll have a working ChatGPT workflow ready to turn OpenAI’s eventual S-1 – a 200-400 page filing that isn’t public yet but will be – into a one-page personal brief: what changes for your ChatGPT subscription, which risks actually matter, and which numbers are noise. No finance degree, no Bloomberg terminal.
The trigger: OpenAI confidentially filed its IPO prospectus on Friday, May 22, 2026, working with Goldman Sachs and Morgan Stanley, at a private-market valuation above $850 billion, with a public listing targeting as early as September 2026. Reddit and X are doing the usual thing – half panic, half rocket emojis. Skip that. Here’s what’s actually useful.
The key takeaway, upfront
You can’t read the S-1 yet – that’s the part every breathless news article forgets to mention. Confidential submission means the document sits with the SEC, not with you. Under the JOBS Act, the issuer must publicly file its registration statement at least 15 days before any roadshow (per SEC guidance via Greenberg Traurig). If the September target holds, the real document surfaces around mid-to-late August 2026.
The job right now is to build the workflow so you’re ready the moment it drops. That’s what this guide does.
Quick background – only what matters for the tutorial
Two numbers set the context. Revenue jumped 225% to $13 billion in 2025, with estimates of 130% growth to $30 billion in 2026 according to Motley Fool’s analysis – the kind of growth curve that makes public-market investors demand a line-by-line breakdown. Then there’s the competitive picture: turns out Anthropic surpassed OpenAI in business AI adoption as of April 2026. The Ramp Index tracked 65% of new enterprise AI procurement going to Anthropic in March 2026, versus 32% to OpenAI (via Fortune’s reporting on the filing).
That gap is why this IPO matters to you as a user, not just an investor. A public company losing enterprise share has exactly one obvious lever – consumer pricing. More on that below.
Method A vs Method B: how people will try to read the S-1
When the filing goes public, two approaches will dominate:
| Approach | What it is | Why it fails for most people |
|---|---|---|
| Method A: Read it yourself | Download the PDF, ctrl-F through 200-400 pages of legalese | You’ll burn 6 hours and miss the related-party disclosures buried in footnotes |
| Method B: Wait for the takes | Read the Bloomberg/CNBC summaries the next morning | Their angle is for institutional investors, not for someone deciding whether to keep paying $20/month for Plus |
| Method C (winner): Feed it to ChatGPT with the right prompts | Upload the S-1, run 3 targeted questions, get a personal brief in 10 minutes | Has one gotcha – covered below |
Method C wins. But only if you avoid the trap most people hit on the first try.
There’s a broader question worth sitting with here: what does it actually mean for a nonprofit-controlled AI lab to go public? OpenAI isn’t a normal company filing a normal S-1. The document will have to answer – for the first time, in legally binding language – how a capped-profit structure governed by a nonprofit board coexists with shareholders who expect unlimited upside. Nobody has done this before. The S-1 itself is likely to be one of the stranger governance documents the SEC has ever reviewed.
The walkthrough: reading the S-1 with ChatGPT (3 prompts)
When OpenAI’s S-1 goes public on SEC EDGAR – search for “OpenAI” under company name, filter for S-1 filings – do this:
Step 1: Upload, don’t paste
S-1 filings are big. Pasting the text into ChatGPT will silently truncate – a confident answer based on the first 40 pages, with no warning that the rest was dropped. Use file attachment instead. On ChatGPT Plus or Team, drag the PDF directly into the chat. The model handles it with file-search tooling, which is the only path to reading past page 50 of a filing this size. Free-tier users: the smaller model and tighter context make this genuinely unreliable for a document this long. Use Plus for this one.
Step 2: Run the three prompts
These are the prompts I’d run, in order. Built around questions that matter for a regular user, not a Wall Street analyst.
Prompt 1 - Revenue breakdown:
"In this S-1, find the revenue segmentation. Tell me what percentage
comes from: (a) ChatGPT consumer subscriptions, (b) enterprise/Team
deals, (c) API usage, (d) Codex/coding products. Quote the exact
sentences. If a segment isn't broken out, say so explicitly."
Prompt 2 - Risk factors that affect users:
"Read only the 'Risk Factors' section. Ignore generic risks like
'market volatility'. Find the 3 most specific risks that would change
how ChatGPT works for a paying user. Include section number and
page reference."
Prompt 3 - The Microsoft relationship:
"Find every disclosure about the Microsoft commercial agreement.
Focus on: revenue share, compute commitments, IP rights, and
termination clauses. List each one with the page number."Why these three? Prompt 1 forces the document to answer what every other guide hand-waves – where OpenAI’s money actually comes from. The revenue breakdown between consumer subscriptions, enterprise, API usage, and Codex should be in there; if a segment isn’t broken out, that omission is itself a story.
Prompt 3 is the sleeper. As of May 2026, Microsoft holds a roughly $230 billion equity stake in OpenAI and is entitled to 20% of OpenAI’s sales through 2032 (per Motley Fool’s analysis of the deal structure). OpenAI’s S-1 is effectively a partial disclosure document about Microsoft’s earnings too – any change in that relationship hits you, because Microsoft’s Azure is the compute that runs ChatGPT.
Step 3: Cross-check the dollar figures
ChatGPT will occasionally pull a number from a chart it half-read and present it as fact. After each prompt, ask: “For the dollar figure you just gave me, quote the surrounding paragraph verbatim.” If it can’t quote the paragraph, the number is suspect. This single follow-up has caught more hallucinations in my own use than any other technique.
Pro tip: Save the three prompts as a Custom GPT or in your saved prompts sidebar. When the S-1 hits, you want to run them in under 10 minutes – not type them from scratch while everyone else is already posting hot takes.
What this actually means for your ChatGPT subscription
Here’s the part nobody’s writing about. A public OpenAI answers to quarterly earnings, analyst calls, and shareholder pressure – combined with the Anthropic enterprise problem, the math points one direction: consumer pricing changes within 6-18 months. This is editorial inference based on how every SaaS company has handled this transition, not a claim from the S-1 (which doesn’t exist yet).
The most likely moves: ads hit the free tier first – lowest friction, highest reach, directly addresses the Anthropic margin gap. The current $20/month Plus plan (as of May 2026) probably survives but gains a cheaper sibling with sponsored answers sitting below it, while the ad-free experience quietly migrates to a higher-priced tier. API free credits tighten last, once the subscription tiers are established. None of this is announced. It’s what the S-1’s quarterly-earnings pressure creates – worth knowing now so Q1 2027 isn’t a surprise.
Edge cases the other tutorials skip
The capped-profit weirdness. As of May 2026, OpenAI operates as a capped-profit entity controlled by a nonprofit board – investors can earn up to 100x their investment, after which profits flow to the nonprofit (per TechBuzz/Europe Says reporting). The S-1 will have to either resolve this structure or disclose exactly how it survives public markets, where shareholders typically expect traditional governance. The answer shapes every future ChatGPT product decision.
The Musk overhang isn’t fully gone. A federal jury in Oakland ruled that Musk’s claims were filed too late – the jury determined he knew about OpenAI’s commercial pivot years before filing in 2024, past the three-year statute of limitations. Technical win, not substantive. An appeal is possible, and the S-1 will list it as a continuing risk.
The Anthropic comp. Anthropic is currently in talks to raise at a $900 billion valuation (CNBC, May 2026) – which would push it ahead of OpenAI’s $850B+ private-market figure. If you’re benchmarking OpenAI’s valuation, do it against that number, not against last year’s $300B figure still floating around in older coverage.
FAQ
Can I read OpenAI’s S-1 right now?
No. Confidential filing means it’s with the SEC, not the public. Check SEC EDGAR after mid-August 2026.
Will ChatGPT get worse or more expensive after the IPO?
Probably both, on a slow timeline. Picture March 2027: you open ChatGPT and a recipe answer has a small “Sponsored” tag. That’s likely the first visible sign – not a sudden price hike, but a quiet tier restructuring. The Plus plan will probably keep its core features while a cheaper ad-supported option appears below it, and a pricier ad-free tier appears above. The exact shape depends on what the S-1 reveals about consumer-segment margins – which is exactly why Prompt 1 above matters. If consumer subscriptions are already OpenAI’s dominant revenue source, pressure to monetize them harder is baked in from day one as a public company.
Should I switch to Claude now to hedge?
The IPO isn’t a reason to switch. It changes incentives over 12-18 months, not the product tomorrow. Switch if Claude does your specific work better – on long-context analysis and coding tasks, a lot of users genuinely find it does. Test it on two or three real workflows before committing. That’s a better signal than any IPO filing.
What to do right now
Set a calendar reminder for August 15, 2026 – roughly when the public S-1 should appear if the September listing target holds. Save the three prompts somewhere you’ll find them. When the document drops, you’ll have a 10-minute workflow ready while everyone else is still downloading the PDF.