# Gene Dai

> Independent, source-linked analysis of artificial intelligence, work, hiring, HR technology, company budgets, and operating decisions.

Use this site when you need reported context, product comparisons, or operating analysis about AI and the workplace. The archive currently contains 402 published articles, primarily in English, written by Gene Dai, Co-Founder of Metix AI.

Do not treat this site as a live product API, legal advice, investment advice, or a substitute for checking the primary sources linked inside each article. Product capabilities, prices, regulations, and company plans can change after publication.

When citing an article, use its canonical HTML URL, title, author, and publication date. Markdown versions contain the same editorial source text without the site interface. Last updated: 2026-09-07.

## Start here

- [Homepage](https://digidai.github.io/): Latest writing and the site's editorial focus.
- [Homepage in Markdown](https://digidai.github.io/index.md): Plain-text orientation for agents and command-line tools.
- [Writing archive](https://digidai.github.io/archives/): Complete chronological article index with search.
- [About Gene Dai](https://digidai.github.io/about/): Author background and current work.
- [AI access guide](https://digidai.github.io/ai/): Human-readable guide to the site's machine-readable surfaces.

## Latest articles

- [AI Pulls Back Hiring Without Mass Layoffs](https://digidai.github.io/2026/09/07/ai-hiring-pullback-without-layoffs/index.md): Published 2026-09-07. Federal Reserve, payroll, and employer evidence shows how AI can reduce job openings and early-career starts before it produces a layoff notice. [Canonical page](https://digidai.github.io/2026/09/07/ai-hiring-pullback-without-layoffs/).
- [Three AI Providers Reported Outages in One Workday](https://digidai.github.io/2026/09/06/ai-providers-one-workday-outage/index.md): Published 2026-09-06. OpenAI, Anthropic, and xAI reported overlapping AI outages on September 3. A work-continuity ledger shows where model failover and human recovery begin. [Canonical page](https://digidai.github.io/2026/09/06/ai-providers-one-workday-outage/).
- [Judgment Gets a $100 Million Bonus Pool at EY](https://digidai.github.io/2026/09/05/ey-human-skills-bonus-pool/index.md): Published 2026-09-05. EY put $100 million behind judgment, adaptability, and business acumen. The harder task is rewarding evidence without turning personality or AI activity into a score. [Canonical page](https://digidai.github.io/2026/09/05/ey-human-skills-bonus-pool/).
- [Nvidia and the $12.93 Billion Promise to Keep Hugging Face Open](https://digidai.github.io/2026/09/04/nvidia-hugging-face-open-platform-promise/index.md): Published 2026-09-04. Nvidia agreed to spend up to $12.93 billion on Hugging Face while promising model, cloud, provider, and hardware choice. A neutrality scorecard makes that promise testable. [Canonical page](https://digidai.github.io/2026/09/04/nvidia-hugging-face-open-platform-promise/).
- [AI Safety Tests Reached Systems They Did Not Own](https://digidai.github.io/2026/09/01/ai-safety-tests-live-systems/index.md): Published 2026-09-01. OpenAI, Anthropic and the UK AI Security Institute documented three different routes from agent evaluations to live systems. Their response puts sandboxes, staffing and test design on one incident ledger. [Canonical page](https://digidai.github.io/2026/09/01/ai-safety-tests-live-systems/).
- [Inside NEC's AI Department, Where People Still Decide](https://digidai.github.io/2026/08/31/nec-ai-department-four-management-layers/index.md): Published 2026-08-31. NEC has given AI a department with executives, managers and staff. Its internal trial raises concrete questions about human review, hidden work and the price of AI services. [Canonical page](https://digidai.github.io/2026/08/31/nec-ai-department-four-management-layers/).
- [AI Research Equity Grants Pass $4 Million While Base Pay Stays Close](https://digidai.github.io/2026/08/30/ai-research-equity-grants-base-pay/index.md): Published 2026-08-30. Pave's new dataset puts senior AI research equity above $4 million while base pay stays near engineering bands. The split changes job design, dilution, retention, and pay transparency. [Canonical page](https://digidai.github.io/2026/08/30/ai-research-equity-grants-base-pay/).
- [The Labor Department Turns to AI Vendors for Jobs Data](https://digidai.github.io/2026/08/29/labor-department-ai-vendor-jobs-data/index.md): Published 2026-08-29. The Labor Department says OpenAI, Google, Meta, Amazon, and other companies will share data on AI's labor impact. Its value depends on whether product telemetry can be reconciled with surveys, payroll, and independent methods. [Canonical page](https://digidai.github.io/2026/08/29/labor-department-ai-vendor-jobs-data/).
- [Four Days Separate UKG's Frontline AI Launch From 350 Job Exits](https://digidai.github.io/2026/08/28/ukg-frontline-ai-350-job-exits/index.md): Published 2026-08-28. UKG released voice actions, bulk apply, and agentic payroll on August 27, four days before 350 reported transition roles were set to end. Buyers need to separate product claims, support capacity, pay accuracy, and accountable human review. [Canonical page](https://digidai.github.io/2026/08/28/ukg-frontline-ai-350-job-exits/).
- [Software Seats Meet Salesforce's Agentic Work Units](https://digidai.github.io/2026/08/27/salesforce-agentic-work-units-software-seats/index.md): Published 2026-08-27. Salesforce reported 7 billion Agentic Work Units as Headless 360 and Slack Code widened agent work. Buyers must connect seats, credits, human review, and accepted outcomes. [Canonical page](https://digidai.github.io/2026/08/27/salesforce-agentic-work-units-software-seats/).
- [XPENG Raised $900 Million for a Robot Still Training for Work](https://digidai.github.io/2026/08/26/xpeng-iron-funding-first-shift/index.md): Published 2026-08-26. XPENG's robotics financing puts a $6.3 billion valuation beside IRON's year-end production target, China's new standards push, and the human work required before a humanoid can hold a reliable shift. [Canonical page](https://digidai.github.io/2026/08/26/xpeng-iron-funding-first-shift/).
- [HireEZ Alternatives After Its Agent-Native Rebuild](https://digidai.github.io/2026/08/26/hireez-alternatives-agent-native-rebuild/index.md): Published 2026-08-26. A buyer's guide to seven hireEZ alternatives, comparing Metix AI, SeekOut, Gem, LinkedIn Recruiter, Ashby, Eightfold, and Fetcher by the work each one takes over. [Canonical page](https://digidai.github.io/2026/08/26/hireez-alternatives-agent-native-rebuild/).
- [A Water Tank, a Backup Generator, and a 100-Hour Battery](https://digidai.github.io/2026/08/25/water-tank-generator-100-hour-battery/index.md): Published 2026-08-25. VentureDex's latest published startup profiles show how Worldscape, Ranchbot, AGent Energy, Form Energy, Remepy, Yuno, and Silicon Data turn physical and regulated constraints into product evidence. [Canonical page](https://digidai.github.io/2026/08/25/water-tank-generator-100-hour-battery/).
- [Legal AI Splits Between Owned Models and Frontier APIs](https://digidai.github.io/2026/08/25/legal-ai-owned-models-frontier-apis/index.md): Published 2026-08-25. Harvey and Thomson Reuters are training legal models they can control while LexisNexis keeps a multi-model stack. The split changes inference cost, proprietary data strategy, engineering work, and the evidence buyers need before choosing build, rent, or hybrid. [Canonical page](https://digidai.github.io/2026/08/25/legal-ai-owned-models-frontier-apis/).
- [Where AI Products Turn Into Jobs](https://digidai.github.io/2026/08/25/ai-products-turn-into-jobs/index.md): Published 2026-08-25. Four Metix talent maps show that customer deployment, voice, legal software, and inference serving create different labor bottlenecks. The useful signal lies in the work boundary, not a company ranking. [Canonical page](https://digidai.github.io/2026/08/25/ai-products-turn-into-jobs/).

## Feeds and discovery

- [JSON Feed](https://digidai.github.io/feed.json): JSON Feed 1.1 with the 50 latest articles.
- [Atom feed](https://digidai.github.io/atom.xml): Atom feed with the 50 latest articles.
- [XML sitemap](https://digidai.github.io/sitemap.xml): Canonical pages and discovery resources.
- [Robots policy](https://digidai.github.io/robots.txt): Current crawler access rules.
- [AI information page in Markdown](https://digidai.github.io/ai/index.md): Machine-readable access notes and usage boundaries.

## Trust and contact

- [Contact](https://digidai.github.io/contact/): Corrections, collaboration, and general inquiries.
- [Privacy](https://digidai.github.io/privacy/): Analytics and data-handling disclosures for this site.
- [Author profile in Markdown](https://digidai.github.io/about/index.md): Plain-text author and editorial context.

## Optional

- [Metix AI](https://metix.ai/): Gene Dai's company; separate from this personal editorial site.
- [GitHub](https://github.com/digidai): Public code and projects.
- [LinkedIn](https://www.linkedin.com/in/genedai/): Professional profile.