{"podcast":{"title":"AI HR Daily by OVI","slug":"ai-hr-daily-by-ovi-7799457","podcast_index_feed_id":7799457,"rss_url":"https://moyvabqxvlqzzkhyotju.supabase.co/functions/v1/podcast-rss","website_url":"https://www.aihrdaily.com","image_url":"https://moyvabqxvlqzzkhyotju.supabase.co/storage/v1/object/public/Logo/Blue%20White%20Modern%20Profile%20Picture%20LinkedIn%20Profile%20Picture.png","author":"Tim from OVI","episode_count":774,"summary":"What is Al HR Daily? Artificial intelligence in human resources encompasses technologies like machine learning, natural language processing, and predictive analytics applied to talent acquisition, employee engagement, performance management, and workforce planning. From Al-powered resume screening to automated video interviews, these tools help HR teams make faster, more objective hiring decisions. Topics We Cover Al recruitment tools, automated candidate screening, Al voice interviews, hiring bias reduction, EU Al Act compliance, predictive hiring analytics, talent intelligence platforms, Al job description generators, skills-based hiring, workforce planning Al, employee retention prediction, and Al ethics in employment","last_synced_at":"2026-09-12T02:20:32.972321+00:00","page_url":"https://stenobird.com/podcast/ai-hr-daily-by-ovi-7799457"},"episode":{"title":"Why 72% of AI HR Projects Fail — And What the Winners Do Differently","slug":"why-72-of-ai-hr-projects-fail-and-what-the-winners-do-differently","published_at":"2026-07-31T04:39:59+00:00","page_url":"https://stenobird.com/podcast/ai-hr-daily-by-ovi-7799457/why-72-of-ai-hr-projects-fail-and-what-the-winners-do-differently","show_page_url":"https://stenobird.com/podcast/ai-hr-daily-by-ovi-7799457","url":"https://www.aihrdaily.com/article/why-most-ai-hr-implementations-fail-2026-roi-governance-data","audio_url":"https://moyvabqxvlqzzkhyotju.supabase.co/storage/v1/object/public/podcast-audio/episodes/d5aa42b6-ef4f-4110-a748-bf6a689a47e9.mp3","summary":"The numbers are stark: 92% of CHROs expect deeper AI integration across their workforce, yet only 28% of AI initiatives actually deliver the ROI they promised. That's not a technology problem — it's an organizational one. In this episode, we dig into the 2026 data from Gartner and SHRM surveys covering thousands of organizations to uncover why most AI HR implementations stall, underperform, or get quietly abandoned. The culprits? Poor data readiness, a near-total absence of success measurement, and HR being left out of the AI strategy conversation entirely. But here's what's interesting: the 28% that do succeed share a very specific playbook. They embed AI into the tools their teams already use every day. They lock in executive commitment beyond the pitch meeting. And they define concrete, numeric targets before a single model goes live — not after. Whether you're building a business case for AI-powered talent acquisition or trying to rescue a stalled implementation, this episode gives you a clear four-step action framework to join the minority that actually makes AI work in HR.","meta_description":"The numbers are stark: 92% of CHROs expect deeper AI integration across their workforce, yet only 28% of AI initiatives actually deliver the ROI they prom…","key_points":[],"chapters":[],"topics":[],"duration_seconds":null,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/ai-hr-daily-by-ovi-7799457/episodes/why-72-of-ai-hr-projects-fail-and-what-the-winners-do-differently/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/ai-hr-daily-by-ovi-7799457/why-72-of-ai-hr-projects-fail-and-what-the-winners-do-differently.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}