Skip to main content 2025
- AI recruiting in 2025: what changed and what did not
- AI recruiting ROI: an evidence-led measurement guide
- AI Hiring Bias: What the Evidence Shows and How to Test It
- HR technology roadmap 2026-2030: an evidence-led talent acquisition plan
- Asia-Pacific HR technology: a country-by-country buyer guide
- Asia-Pacific HR Tech: A Country-by-Country Operating Map
- AI Hiring Compliance: A 2026 Control Map for Employers
- Greg Brockman at OpenAI: technical leadership, infrastructure, and governance
- Max Tegmark: AI-Risk Advocacy and Verifiable Safety
- Helen Toner and OpenAI: A Documented Case Study in Nonprofit AI Governance
- Reid Hoffman: Network Effects, AI Investments, and Governance Tradeoffs
- Dinesh Nirmal and IBM's Enterprise AI Governance Strategy
- Sriram Raghavan's IBM Research and Enterprise AI Work
- Arvind Krishna: IBM's Watsonx and Hybrid AI Strategy
- Mustafa Suleyman's Microsoft AI Remit After the Copilot Reorganization
- Daniela Amodei and Anthropic's Operating Model
- Elon Musk's xAI: Compute, Distribution and Governance
- Sam Altman and OpenAI: Product, Capital, and Governance
- TIME100 AI 2025: an evidence guide to 100 influential people in AI
- Darwinbox: Enterprise HCM Platform Review
- HeyMilo Review: AI Screening, Interviews, and Deployment Controls
- Willo Review: Asynchronous Interviews, AI Assistance, and Buying Tests
- HireVue: Video Interviewing, Assessments, and AI Governance
- AI Access and Global Equity: Measuring the Foundations Behind Adoption
- US Healthcare AI: A Deployment Map from Research to Clinical Operations
- Global HR Digital Transformation: An Evidence and Workflow Architecture
