One of Derek Mobley’s rejection emails arrived at 1:50 in the morning, less than an hour after he applied through Workday. His lawsuit has since grown into a nationwide age-discrimination collective involving Workday’s AI hiring tools.

Workday says its software doesn’t make hiring decisions. Employers do. But the court allowed plaintiffs to continue arguing that Workday can still be liable when its tools screen and rank applicants.

The bigger fight is over evidence. Plaintiffs were denied access to Workday’s bias-testing data and customer applicant records, while Workday’s internal bias audit remains protected from disclosure. The case has also expanded to include HiredScore and claims involving gender, race, and disability.

ABOUT SLOP WORLD

AI news with receipts. Juan Faisal and Kate Cook fact-check the claims Big Tech is making about AI, follow the money, and break down what it actually means for your job, your data, and your daily life. From leaked data and corporate cover-ups to AI schools, stolen identities, and layoff headlines that don’t add up, we cover the AI stories that everyone’s hyping but nobody’s verifying. New episodes every Thursday.

DISCLAIMER

All content is commentary and opinion based on publicly available documents, interviews, and verifiable sources. References to “scams,” “grifts,” or related terms reflect our editorial opinion, not legal conclusions. Anyone featured who believes a statement is inaccurate may contact us.

CHAPTERS

00:00 Mobley v. Workday: Who’s Liable When AI Rejects You?

01:00 The Judge Blocks Workday’s Bias-Testing Data

02:52 Derek Mobley’s 50-Minute Rejection

05:06 Workday’s Defense: “We Just Make the Tool”

06:52 Age Discrimination Claims Expand the Case

09:24 HiredScore Gets Pulled Into the Lawsuit

11:44 What Workday Has to Hand Over

13:52 Workday’s Bias Audit Stays Out of Reach

A pregnant Meta employee says she was laid off two days before giving birth. Another manager was cut sixteen days into approved medical leave. A third says they were warned: take the leave and you’ll end up on the list.

They’re among 26 former Meta employees suing over layoffs they say were influenced by AI and workplace tracking data, including keystrokes, browser activity, and AI usage. Meta says humans made the final decisions based on performance ratings and organizational needs.

The workers also face a problem: proving what the system actually did. A federal judge rejected their effort to rely on claims about decisions they weren’t present for, leaving key questions about how Meta’s internal systems influenced the layoffs unresolved.

Juan and Kate break down the lawsuit, Meta’s “betting on people” campaign, its $115 million workforce academy for data-center trades, and the contradiction between cutting employees while investing heavily in AI infrastructure.

ABOUT SLOP WORLD

AI news with receipts. Juan Faisal and Kate Cook fact-check the claims Big Tech is making about AI, follow the money, and break down what it actually means for your job, your data, and your daily life. From leaked data and corporate cover-ups to AI schools, stolen identities, and layoff headlines that don't add up, we cover the AI stories that everyone's hyping but nobody's verifying. New episodes every Thursday.

DISCLAIMER

All content is commentary and opinion based on publicly available documents, interviews, and verifiable sources. References to "scams," "grifts," or related terms reflect our editorial opinion, not legal conclusions. Anyone featured who believes a statement is inaccurate may contact us.

CHAPTERS

00:00 Meta Laid People Off on Approved Medical Leave

01:16 The Federal Lawsuit and The Room Where It Happened

02:37 8,000 Layoffs, $135B AI Bet, Secret Surveillance

03:49 Linh Doan and The Human Decision Defense

05:08 Meta's "The Future is for Everyone" Ad Campaign

07:38 The Real Reason Meta Launched a $115M Trade School

09:22 Why Meta Is Training Blue-Collar Workers

12:13 Betting on Data, Not on People

13:14 A Blank Check to Fire You by Spreadsheet

Apple is suing OpenAI over allegations that its hardware team stole trade secrets while recruiting former Apple employees. The lawsuit claims job candidates were told to bring parts from unreleased Apple devices to interviews, while departing employees were coached on how to avoid Apple’s security review.

At the same time, OpenAI may be slowing down its IPO. CFO Sarah Friar has said the company isn’t operationally ready for public markets as it projects $600 billion in compute spending through 2030. Sam Altman reportedly has another reason for waiting: he wants OpenAI valued at $1 trillion.

Juan and Kate break down Apple’s claims, OpenAI’s IPO tension, the proposed $42.6 billion U.S. government equity stake, and what happened to Sora and the Atlas browser.

If the government owns part of an AI company, does it have a financial reason to regulate it differently?

ABOUT SLOP WORLD

AI news with receipts. Juan Faisal and Kate Cook fact-check the claims Big Tech is making about AI, follow the money, and break down what it actually means for your job, your data, and your daily life. From leaked data and corporate cover-ups to AI schools, stolen identities, and layoff headlines that don't add up, we cover the AI stories that everyone's hyping but nobody's verifying. New episodes every Thursday.

DISCLAIMER

All content is commentary and opinion based on publicly available documents, interviews, and verifiable sources. References to "scams," "grifts," or related terms reflect our editorial opinion, not legal conclusions. Anyone featured who believes a statement is inaccurate may contact us.

CHAPTERS

00:00 — Sam Altman’s Trillion-Dollar IPO Dream

01:40 — Is OpenAI Ambitious or Just a Mess?

02:43 — The Amazon Defense

03:43 — The IPO Delay and $600 Billion Compute Bill

04:47 — CFO Sarah Friar vs. Sam Altman

08:01 — The Apple Lawsuit: "Show & Tell" Stolen Hardware

09:15 — Tang Tan & The "LOL" Stolen Laptop Allegations

10:28 — OpenAI Wants the U.S. Government as a $42B Partner

12:14 — Dead Projects: Sora and the Atlas Browser

14:38 — The Math Ain't Mathing: Moving Fast and Breaking the Economy