Two Companies Cut Staff and Credited AI. Their SEC Filings Don't.
Rapid7 and N-able each filed an 8-K on 10 August 2026 disclosing workforce cuts. Both CEOs invoked AI. Neither legally binding disclosure mentions it. Why that gap matters.
Resources
Payrolls Fell 23,000. BLS's Own Margin of Error Is 122,000.
BLS reported payrolls fell 23,000 in July 2026. Its own confidence interval on that monthly change is plus or minus 122,000. What the report can and cannot support.
One Fed Survey Says 1%. Challenger Says 33%. Both Are Right.
The New York Fed says 1% of service firms laid off workers because of AI. Challenger says AI was cited in 33% of July cuts. Four reasons the numbers cannot be compared.
AI Adoption Tripled. Headcount Mostly Didn't Move.
The ONS surveyed 38,637 UK businesses and the Fed asked nearly 750 executives. Both find adoption rising steeply and aggregate employment holding. The gap is the finding.
AI Isn't Devaluing Your Job. It's Devaluing Five Specific Tasks.
ADP Research and Stanford measured pay attached to individual tasks in IT jobs. Five declined after 2022, advisory work held. The sample is ~7,000 workers, and that matters.
The AI Act Deadline That Just Slipped Isn't the One That Protects You
The Digital Omnibus took force on 27 July and pushed high-risk AI obligations to December 2027. Article 50 transparency was left untouched and applies from 2 August 2026.
Even Amazon's AI Team Isn't Safe. Here's What Actually Predicts Exposure
Amazon cut staff inside its own AGI unit in July 2026. If proximity to AI is not what protects you, what does? The payroll evidence points at task structure, not job titles.
EU AI Act Article 4: What Organizations Need to Know About AI Literacy
The AI literacy duty has applied since 2 February 2025 and becomes enforceable on 2 August 2026. What the Digital Omnibus actually deferred to 2027 — and what it did not.
Which Jobs Will AI Replace First? An Evidence-Based Analysis
What 1,822 documented evidence entries across 506 companies say about where AI displacement is actually happening first — and where it has not started yet.
AI Upskilling ROI: How to Measure Your Training Investment
Most AI training is bought on faith and never measured. A practical framework: baseline first, then reclaimed hours, capability artifacts, and risk reduction.
From AI-Curious to AI-Native: The 4 Maturity Levels
Most AI training treats everyone the same, which is why most of it fails. The four maturity levels, how to self-diagnose yours, and what moves you up one.
Crystal Ball: How We Track AI Displacement Data Across 21 Industries
Inside the evidence base behind the Protocol: what a documented evidence entry is, how exposure scores are computed, and what the data can and cannot tell you.
AI Literacy for Non-Technical Professionals: Where to Start
You do not need to write code to be AI-literate. A practical four-week starting point for managers, analysts, and other knowledge workers — no engineering required.
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