> Markdown version of [/videos/1468-hr-tech-and-ai-trends-and-where-you-can-start?t=706](https://www.wearedevelopers.com/videos/1468-hr-tech-and-ai-trends-and-where-you-can-start?t=706). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # HR Tech and AI Trends and Where You Can Start Stop slapping AI onto broken HR systems. Tech alone cannot fix poor planning. Build a robust people operating model to turn AI hype into actual business value. - **Speakers:** [Jessie Schofer](https://www.wearedevelopers.com/@jessie-schofer) - **Event:** World Congress 2025 - **Published:** August 20, 2025 - **Duration:** 23:35 - **URL:** https://www.wearedevelopers.com/videos/1468-hr-tech-and-ai-trends-and-where-you-can-start ## Summary Despite the explosive growth of the HR technology market, where a vast majority of new tools boast artificial intelligence capabilities, companies rarely extract substantial ROI from their AI investments. The core issue lies not in the technology itself, but in the absence of structured planning. Plunging into the trough of disillusionment of the AI hype cycle is inevitable when organizations attempt to "slap AI on top of broken systems." Instead of chasing trends, HR teams must focus on the foundations of a robust people operating model to ensure tool adoption aligns with overarching business context and strategies. To transform how HR delivers value, teams should embrace three core pillars: proactive prioritization, disciplined execution, and positive value perception. Prioritization requires abandoning siloed HR functions in favor of a collective, cross-functional roadmap that directly supports business goals, ensuring HR is not caught off-guard by major strategic shifts. Execution relies heavily on structured change management and transitioning new people products into business as usual (BAU) workflows, where AI can tangibly assist with day-to-day administrative burdens. Fostering a positive value perception means operating with total transparency so the entire business understands the strategic purpose behind every HR initiative. While shifting an entire organizational operating model takes time, practitioners can gain immediate traction by applying proven delivery principles and the 80/20 rule. Utilizing accessible project management hygiene, such as stakeholder maps, business cases, and HR tech assessment matrices, empowers teams to deliver massive value confidently, proving that the most sustainable AI transformation starts with fundamentally sound systems and human-led design. **Keywords:** HR tech adoption, AI hype cycle, people operating model, change management, tech roadmap prioritization, HR value perception, people products, BAU automation, cross-functional HR alignment, HR tech assessment matrix, project management hygiene, stakeholder mapping, AI algorithm investment, business context alignment ## Chapters 1. **Understanding the real state of AI value in HR** (00:05) — Only a small fraction of companies translate artificial intelligence investments into tangible business value. 1. **Navigating the crowded HR technology and AI market** (01:58) — The crowded human resources software landscape creates confusion without proper technical roadmaps to guide decisions. 1. **The danger of adopting AI without a strategic plan** (04:49) — Implementing artificial intelligence tools on top of broken systems fails without proper foundational planning. 1. **Core pillars of effective HR technology delivery** (06:17) — Successful human resources teams rebuild credibility through strict prioritization, change management, and perceived value delivery. 1. **Building a future-ready people operating model** (11:46) — Cross-functional teams must align on organizational principles and business context to collaboratively build technology roadmaps. 1. **Balancing new people products with business as usual** (16:31) — Teams must balance the design of new organizational processes with the automation of day-to-day operations. 1. **Actionable steps for executing HR technology projects** (19:59) — Human resources professionals can immediately improve project delivery using standard management templates and established operational concepts. ## Related Moments - [Three practical steps for implementing AI solutions in HR](https://www.wearedevelopers.com/videos/1356-from-learning-to-leading-why-hr-needs-a-chatgpt-license) (from "From Learning to Leading: Why HR Needs a ChatGPT License") - [Sustaining HR credibility through direct AI technological proficiency](https://www.wearedevelopers.com/videos/1813-empowering-people-in-a-digital-world-hr-s-next-big-chapter) (from "Empowering People in a Digital World: HR’s Next Big Chapter") - [Strategies for implementing artificial intelligence in human resources](https://www.wearedevelopers.com/videos/1301-recruiting-in-2025-will-ai-help-or-take-over) (from "Recruiting in 2025: Will AI Help or Take Over?") - [Establishing shared accountability for true enterprise AI transformation](https://www.wearedevelopers.com/videos/100068-the-ai-fluent-team-a-playbook-for-driving-enterprise-ai-transformation) (from "The AI-Fluent Team: A Playbook for Driving Enterprise AI Transformation") - [Formulating strategic human resource plans aligned with artificial intelligence](https://www.wearedevelopers.com/videos/1724-why-developers-don-t-care-about-your-employer-brand-and-how-to-fix-it) (from "Why Developers Don't Care About Your Employer Brand and How to Fix it") - [Balancing AI transformation with a people-centric approach](https://www.wearedevelopers.com/videos/1699-leading-efficiency-empathy-and-the-human-experience-with-ai) (from "Leading efficiency, empathy, and the human experience with AI") ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Panel Discussion: Responsible AI in Practice - Real-World Examples and Challenges](https://www.wearedevelopers.com/magazine/488-panel-discussion-responsible-ai-in-practice-real-world-examples-and-challenges) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) ## Related Jobs - [AI Operations Manager (all genders)](https://www.wearedevelopers.com/jobs/48263-ai-operations-manager-all-genders) at **envelio** - [AI Software Engineer (Germany)](https://www.wearedevelopers.com/jobs/48317-ai-software-engineer-germany) at **Sunhat** - [AI Full Stack Engineer](https://www.wearedevelopers.com/jobs/ext/1354435-ai-full-stack-engineer) at **Almedia** - [Head of AI Applications](https://www.wearedevelopers.com/jobs/ext/1231536-head-of-ai-applications) at **ZEISS Group** - [Head of AI Applications](https://www.wearedevelopers.com/jobs/ext/1456210-head-of-ai-applications) at **ZEISS Group** - [Product Owner - Artificial Intelligence](https://www.wearedevelopers.com/jobs/ext/396346-product-owner-artificial-intelligence) at **ZEISS Group**