insights-and-analytics

On June 7 a single post on X coined "loop engineering." We measured it across 870,000 documents three days later — and found why you can't trust a buzzword count.

When Anthropic released Claude Fable 5 at 17:00:00 UTC on June 9, six tier-1 outlets published in the same second. The same exact playbook had fired 63 days earlier on the Mythos Preview launch. The June release isn't a discrete event — it's the closing act of a 63-day narrative campaign Anthropic itself opened on April 7.

Five visualizations worth showing your team this month: the WHO global-health dashboard, Andrew Heiss's animated dplyr verbs, kmcd.dev's annual Internet treemap, MotherDuck's embeddings explorer, and Enrico Bertini on using dataviz to understand how LLMs "think". Plus the people behind the work and the writing worth catching up on.

Tech bloggers are writing about Claude Code at 2x the rate jobs need them. Employers are hiring for Looker at 10x the rate anyone's writing about it. We measured the gap across 74 skills, 205,895 job postings, and 408,420 blog posts.

The number-one breakout author in the Skillenai blog index in May 2026 is a man named Daniel Mercer who does not exist. He is the centerpiece of an AI-native Private Blog Network (PBN) — 221 fake bylines across 333 cheap cloud-themed domains — built to game a PageRank-style authority signal. This is the SEO content-farm attack of the 2000s, rerun on a labor-market corpus with LLM-generated content.

I tested my analogy that Forward Deployed Engineers are to AI Engineers what Solutions Architects were to Software Engineers. Across ~44K postings, the data agrees: FDE is literally AIE on the AI axis, SA on the customer axis. Plus, two twists I didn't expect.

Fortune today: spring 2026 hiring is broad-based. Jensen Huang: "software engineers are increasing." Both right at the aggregate. Drop a level and our US tech corpus shows tech has roughly two career-entry roles — Software Engineer and Data Analyst — and a longer list of post-experience lateral specializations (MLE, Platform, SRE, Backend).

A new LSE working paper used 243M hire records to argue remote work — not AI — caused the entry-level hiring collapse. We tested the prediction in today's US tech job postings, role by role. Every Bonferroni-significant broken ladder is in an AI-light role.

A new NY Fed study argues remote work, not AI, drives most of the post-pandemic rise in youth unemployment. 50,757 US tech postings show the matching supply-side fingerprint: % postings allowing remote rises monotonically from 24.6% at intern to 62.3% at staff, and the gradient holds inside every tech role.

We swept 156,928 job postings and 435,000+ blog and news articles for ~90 LLM-eval frameworks and ~55 evaluation methodologies. The result: hiring names a tiny tool set (LangSmith + Langfuse = 56% of all eval-tool mentions; no framework over 1%), practitioners are converging on LLM-as-a-judge with a rubric, and the benchmarks the press argues about — SWE-bench, MMLU, GPQA — show up in roughly zero job descriptions.