
ALT Promotional banner for a free Hacking HR AI bootcamp. Text reads: Upcoming free bootcamp. Build Your AI-Powered Project Management Systems. Level: Advanced. 4 hours total, built live, 2 days. November 3–4, 2026, 6:00–8:00 AM Pacific Time. Register Now. A dark navy background with a glowing green grid, chart, target and gear icons, and a tablet showing a project dashboard. Logos for People & Culture Strategy Institute and Hacking HR.

ALT Infographic from Hacking HR titled “Who Supports HR Through Change?” with the subtitle “How to Protect HR Teams’ Capacity and Wellbeing.” Five rows show a decision, action, and responsible parties: 1. Make the workload fit by reviewing responsibilities, pausing projects, moving deadlines, and arranging coverage. Responsible: HR leader and executive sponsor. 2. Share difficult work by assigning communication and follow-up and preparing managers. Responsible: executive sponsor and people managers. 3. Give HR decision authority and escalation routes. Responsible: executive sponsor and HR leader. 4. Provide confidential support outside the situations HR manages, including external counseling or professional peer support. Responsible: organization and support provider. 5. Plan recovery and follow-up by building breathing room and reviewing overtime, deferred work, and team feedback. Responsible: HR leader, backed by the executive sponsor.

ALT Promotional banner for iSpring AI Days, a free virtual conference on October 28. On a purple background, the iSpring logo sits above the headline “iSpring AI Days: From AI Tools to AI Orchestration,” with the tagline “Put AI to work for L&D – without losing the human center.” On the right, a photo collage shows conference attendees smiling in a seminar, a woman presenting to camera, a man in glasses smiling at a laptop, and an abstract wave of glowing particles, with labels reading “AI In Practice,” “People,” and “Learning.”

ALT Infographic titled “Human Expertise in L&D in the Age of AI Orchestration,” presenting four areas where human expertise matters when working with AI: Learning Architecture, including shaping structure, considering examples, calibrating challenge, and validating assessments; Responsible Judgment, including verifying outputs, protecting information, disclosing AI use, and owning outcomes; Learning Quality, using the SURE framework: Simple, Useful, Resonates, and Easy; and Evidence of Learning, using learner feedback, learning outcomes, analysis, and improvement to understand impact. The infographic promotes iSpring AI Days 2026, a free virtual conference on October 28.

ALT Graphic titled “The Hidden Work AI Time Savings Miss.” It identifies five types of human work that remain across an AI-supported workflow: setting context, verifying outputs, reviewing and reworking, supervising actions, and handling exceptions. These activities require context, judgment, quality control, oversight, and accountability. The graphic asks which effort can be reduced and what doing the work well still requires.








