⏱️ Lectura: 9 min
A website offers to “fire” your CEO and replace them with an AI that costs $4,699, a one-time payment, compared to the $22,000,000 a year that, according to its own copy, an average chief executive costs. The site is called OverpAId, and it is, by design, a satire.
📑 En este artículo
- TL;DR
- What happened
- Context and background
- Technical details and performance
- How to check the data yourself
- Impact and analysis
- What’s next
- Frequently Asked Questions
- Is OverpAId a real product you can buy?
- Where does the figure of .9 million a year for a CEO come from?
- What is the 290-to-1 CEO-to-worker pay ratio?
- Why do layoffs hit frontline workers harder than leadership?
- Can I calculate the pay ratio for my own company (or any public company)?
- What is the “layoff two-step” the site mentions?
- References
It doesn’t sell real software. What it sells is an uncomfortable idea, built with the same marketing language used by AI startups, aimed at the one position no round of layoffs ever seems to touch: the top of the org chart.
TL;DR
- OverpAId (overpaid.lol) is a satirical website that “sells” an AI to replace the CEO for $4,699, a one-time payment.
- The site compares that cost to the $22,000,000 a year that, according to its copy, a typical CEO costs.
- It cites an average compensation of $18.9 million for S&P 500 CEOs in a good year.
- It points to a CEO-to-worker pay ratio of 290 to 1 at large public companies.
- It documents layoffs by tier: -34% for frontline staff, -22% for middle management, -8% for directors, 0% for executives.
- It claims that pay for CEOs at the largest companies grew more than 1,000% over four decades.
- The site itself identifies as a satire project, not a real product, in its legal notice.
What happened
OverpAId presents itself as the world’s “first chief executive replacement engine.” The landing page mimics, almost word for word, the format of any AI product launch: a headline with a crossed-out price, an “as featured in” bar with logos of real media outlets (which it clarifies, in parentheses, never actually covered it), and a “live activity” counter comparing what a real executive does against what OverpAId would do.
The site labels itself a satire project and points to a “fine print” section clarifying that it isn’t a real product. That doesn’t blunt the argument: it uses concrete, verifiable data on executive compensation and tech layoffs to build the joke, and that data is exactly why it’s worth a technical look rather than treating it as just a meme.
Context and background
The site starts from a premise that isn’t new: over the last four decades, CEO pay at the largest companies grew more than 1,000%, while typical worker pay advanced a fraction of that, even as labor productivity kept rising throughout the same period. The narrative that paying the person at the top enough would eventually benefit everyone, according to OverpAId’s own text, never fully played out.
At the same time, the wave of AI-attributed layoffs has already run through several rounds across tech, retail, media, logistics, and finance. The site claims that in tech alone, well over half a million jobs were cut in successive waves, with a growing share explicitly attributed to “AI-driven efficiency,” while aggregate CEO pay at those same companies kept rising alongside AI capital spending.
Technical details and performance
The joke in OverpAId lies in treating the CEO role as if it were just another “automatable” job, complete with a SaaS-style spec sheet. This table sums up how the site builds that comparison:
| Aspect | Average S&P 500 CEO | OverpAId “CEO” (satire) |
|---|---|---|
| Cost | $18.9 million a year, in a good year | $4,699, one-time payment |
| Availability | Variable, per the site: somewhere between Davos and “processing” | 24/7/365 |
| Corporate retreats | Frequent, to “reconnect with the mission” | 0 needed in Aspen |
| Departure from the role | Standard golden parachute | No severance, according to the site’s copy |
The figure that carries the whole irony is the pay ratio between the CEO and the median employee: 290 to 1 at large public companies, as the site itself cites. OverpAId didn’t invent that number: it comes from the disclosure requirement known as pay ratio disclosure, in effect in the United States since 2018 for public issuers.
📌 Note: OverpAId isn’t a product, a company, or a real service. It’s a satirical project that uses public executive compensation figures to make an editorial point, and it says so explicitly on its own site.
How to check the data yourself
You don’t have to take the site’s word for the CEO-to-worker pay ratio it cites: in the United States, public companies are required to publish it every year in their proxy statement (Form DEF 14A), available for free through the SEC EDGAR search tool. A trivial calculation looks like this:
function payRatio(ceoPay, medianWorkerPay) {
return Math.round(ceoPay / medianWorkerPay);
}
console.log(payRatio(18900000, 65172));
// 290, the ratio OverpAId cites for the S&P 500
To look up the actual figure for a specific company, you can query EDGAR’s full-text search API. The command works the same on Windows (PowerShell has included curl.exe since Windows 10), macOS, and Linux:
# Windows, macOS, and Linux: same call, EDGAR requires no authentication
curl "https://efts.sec.gov/LATEST/search-index?q=%22pay+ratio%22&forms=DEF+14A" \
-H "User-Agent: your-name [email protected]"
That query returns the DEF 14A forms where each company publishes, by law, its own pay ratio. To confirm the response actually returned results, check that the hits.total.value key in the JSON is greater than zero; if it comes back as 0, it’s almost always because the User-Agent header is missing or the query string is improperly escaped.
The joke, diagrammed
OverpAId’s central argument can be summed up in a four-step flow that repeats across several recent rounds of tech layoffs:
flowchart LR
A["Layoffs are announced"] --> B["Budget is freed up"]
B --> C["AI gets paid: GPUs and licenses"]
C --> D["The AI gets the credit"]
D --> E["The executive team stays the same"]Impact and analysis
Where the site gets more specific is in how the pain of a restructuring gets distributed. It cites a headcount drop that varies wildly depending on the org chart tier:
| Organizational tier | Cited headcount reduction |
|---|---|
| Executive leadership | 0% |
| Senior directors | -8% |
| Middle management | -22% |
| Frontline and support staff | -34% |
The underlying argument is simple: if a company already trusts an AI agent to manage a support queue, run a supply chain, or write a large share of a codebase, the same logic should apply to tasks like “approve the restructuring” or “read the analyst report on the earnings call.” That tier, however, never shows up on the layoff slide.
💭 Key point: OverpAId’s joke isn’t that an AI could do the CEO’s job, it’s that the same standard used to justify laying off thousands of employees almost never applies to the tier that approves those layoffs.
A fair caveat: the figures OverpAId uses (average compensation, pay ratio, cut percentage by tier) are industry aggregates presented for satirical purposes, not an audit of any single company. Each company has its own actual ratio, published in its own DEF 14A, which can differ quite a bit from the 290-to-1 average the site cites. Treating the aggregate number as if it described one specific company would be the same kind of oversimplification the satire is pointing at.
What’s next
The site isn’t announcing a real funding round or a product roadmap, because it isn’t a product: its own page clarifies it raised “$0 in Series A, at a valuation of infinity divided by zero.” What does seem likely is that the format (an AI SaaS landing page used as a vehicle for social commentary) will keep getting repeated, since it’s cheap to produce and easy to share.
For the technical reader, the useful takeaway isn’t the joke but the data: the pay ratio disclosure requirement already exists, it’s public, and it’s queryable via API. Anyone can run the same calculation for any company they’re curious about, without needing a satirical site to summarize it for them.
📖 Summary on Telegram: View summary
Try it yourself: visit overpaid.lol to see the live counter, or run the EDGAR query above to calculate the real pay ratio of any company you’re curious about today.
Frequently Asked Questions
Is OverpAId a real product you can buy?
No. The site itself identifies as a satire project in its legal notice and doesn’t sell any actual executive-replacement software or hardware.
Where does the figure of $18.9 million a year for a CEO come from?
The site presents it as the average total compensation for an S&P 500 CEO in a good year, in line with annual executive compensation reports published from DEF 14A forms.
What is the 290-to-1 CEO-to-worker pay ratio?
It’s the ratio between a CEO’s total compensation and that of the median employee at the same company, a figure U.S. public companies have been legally required to disclose since 2018.
Why do layoffs hit frontline workers harder than leadership?
According to the data the site cites, frontline and support staff drop by as much as -34% in some restructurings, versus 0% for executive leadership; the satirical argument is that the same automation logic rarely reaches that level.
Can I calculate the pay ratio for my own company (or any public company)?
Yes, if it’s publicly traded in the United States: the figure is in its most recent DEF 14A, searchable for free through the SEC EDGAR full-text search API, no account or payment required.
What is the “layoff two-step” the site mentions?
It’s the pattern OverpAId describes: staff get cut citing “efficiency” or “AI,” the freed-up budget gets redirected to AI compute and licenses, and the executive team that approved both decisions keeps its jobs and salaries.
References
- overpaid.lol: original site for the OverpAId satire project.
- Wikipedia: Executive compensation: general background on executive compensation and its regulation.
- SEC EDGAR Full-Text Search: the official search tool used to look up DEF 14A forms and their pay ratio disclosures.
- Layoffs.fyi: public record of tech industry layoffs used as contextual reference.
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Imagen destacada: Foto de Trnava University en Unsplash
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