# Gene Dai: AI, Work, and Hiring Through Company Decisions

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

- Canonical: [https://digidai.github.io/](https://digidai.github.io/)

Gene Dai examines what companies launch, buy, cut, regulate, and ask people to do as AI moves into the workplace. He is a Co-Founder of [Metix AI](https://metix.ai/).

## Start here

- [Complete writing archive](https://digidai.github.io/archives/)
- [About Gene Dai](https://digidai.github.io/about/index.md)
- [AI access guide](https://digidai.github.io/ai/index.md)
- [Contact](https://digidai.github.io/contact/index.md)
- [Privacy](https://digidai.github.io/privacy/index.md)

## Latest articles

- [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.
- [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.
- [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.
- [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.
- [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.
- [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.
- [Federal AI Discounts Expire on September 30](https://digidai.github.io/2026/08/24/federal-ai-discounts-september-30/index.md): Published 2026-08-24. Claude, Gemini, and ChatGPT reach a shared federal discount deadline on September 30. Agencies need renewal evidence that separates access, active use, workflow results, integration cost, and exit rights.
- [Before Target's First AI Chief Takes the Job](https://digidai.github.io/2026/08/23/target-first-ai-chief-store-workforce/index.md): Published 2026-08-23. Target's first chief AI officer starts with store assistants, a measured supply-chain pilot, 415,000 employees, and no public scorecard connecting AI use to work or customer results.
- [Metix Reports: The Distance Between a Market Signal and a Hire](https://digidai.github.io/2026/08/23/metix-talent-intelligence-reports/index.md): Published 2026-08-23. Metix has published 19 talent maps built from public profiles and job postings. Co-founder Gene Dai examines what those samples can show and how they enter a defensible candidate search.
- [Cisco's $9.3 Billion AI Order Year Included Nearly 4,000 Job Cuts](https://digidai.github.io/2026/08/21/cisco-ai-orders-job-cuts/index.md): Published 2026-08-21. Cisco ended fiscal 2026 with $9.3 billion in hyperscaler AI infrastructure orders, record revenue, and its highest earnings per employee in 30 years. A nearly 4,000-job restructuring shows what companies still fail to disclose when capital moves toward AI.