No subject in the history of business has been made so needlessly complex as employee engagement. The topic has been researched to death except for one question. Despite the exponential growth of survey science, HR Tech, EE/EX experts, seminars, books, webinars, and billions invested, it is impossible to find examples of anyone having transformed EE/EX to the extent business metrics were improved. Here's the simple truth, the EE/EX services providers and HR executives cannot discuss the following with CEOs. When pitching their EE initiative, could you answer these questions? "Where have you done this before, how long did it take, what were the results, and how were they measured. Were the results sustainable, and what impact did your initiative have on the income statement & margins? Can you reisk your fees/bonus on the financial results?". If you don't have the answer to these questions, you don't have a solution, you have only, " research says" unsupported by examples. The needle hasn't changed despite all the research, science, HR clechês, and money invested. In the attached example, HR was not involved, and the fees were based on the income statement. Their stock was $19 before the pandemic; it was recently $90. At some point, someone has to actually deliver the results; talking about it doesn't move the needle. chiefexecutive.net/employee-engagement-ceos-actually-listening/
🎯 Key Takeaways for quick navigation: 00:07 🌐 *Introduction to AI in HR* - AI's transformative power in HR management discussed. - Evolving HR practices with AI, focusing on talent acquisition, onboarding, training, performance evaluation, and diversity. 03:07 🤖 *Current AI Usage in HR* - Poll results: 38% currently use AI in HR, 62% do not. - Rise in AI adoption in the workforce, increasing from 32% to 50% within a year. 04:31 🌐 *Why AI in HR is a Hot Topic* - Discussion on the sudden surge of interest in AI in HR. - Addressing concerns in academia, such as AI usage in student papers. - Exploring challenges and opportunities in AI adoption, potential job displacement. 06:57 🛠️ *Impact of AI on HR Tasks* - Automatingcomplex tasks in HR with AI. - Utilizing AI to assist CEOs in decision-making and competition. - Balancing advantages and challenges of employing multiple tech tools in HR. 09:52 🔐 *Ethical Considerations in AI* - Ethical concerns in AI applications, particularly in privacy and transparency. - Need for transparency in AI usage, especially in recruitment processes. - Addressing biases in AI-generated content, particularly in recruitment and references. 12:22 📊 *Future Uses of AI in HR* - Audience poll on future AI uses in HR. - Projected growth of the global technology market and its implications for AI in HR. - Speculations on AI applications, including automating tasks, answering employee questions, and data analysis. 14:53 🌐 *Strategic Applications of AI in HR* - Strategic applications of AI in all major HR areas. - Emphasizing the value of understanding and exploring AI tools for HR professionals. 16:47 🚀 *AI Tools for Leaders* - AI tools for leaders in HR, focusing on training, development, and performance evaluations. - The role of AI in recommending courses, conducting skills assessments, and enhancing efficiency. 18:45 🧩 *AI in Recruitment* - AI's influence on the recruitment and selection process. - Automation of tasks, sorting resumes, generating interview questions, and trends in gig economy recruitment. 20:16 🌐 *AI in Onboarding* - AI's role in onboarding processes, enhancing personalization and efficiency. - Use of chatbots, automated paperwork, and tailored learning for new employees. 22:14 🤝 *AI for Employee Retention* - AI's contribution to employee retention through personalized training and career development. - The importance 24:44 🚀 *AI in Performance Evaluations* - Using AI in performance evaluations to track important metrics. - Predicting future employee performance through metrics. - AI assistance in goal-setting for employee growth and success. 25:14 🌐 *Personalization in Employee Engagement* - The importance of personalization in reducing workplace friction. - Addressing concerns about discrimination or bias in AI structures. - Qualifying and quantifying human performance metrics for engagement. 26:43 ⚖️ *Ethical Management of AI in HR* - Building AI ethically within the organization. - Importance of integrating ethics from the outset, not as an afterthought. - Vigilance required in HR for the ethical use of AI technology. 28:13 💡 *Technology vs. AI in HR* - Distinguishing technology used in HR platforms from AI features. - AI's role as a layer enhancing existing tasks within HR. - Opportunities and advancements in HR technology. 29:41 💰 *Compensation and Benefits with AI* - Securing data for compensation and benefits in the AI era. - Transparency in AI's role in budget allocation and analysis. - AI's potential for time-saving and enhancing employee benefits. 32:10 📚 *AI Impact on Learning and Development* - Shift from traditional learning management systems to user-friendly, personalized AI-driven learning. - Integration of digital learning into workflows for real-time needs. - AI's role in identifying and filling educational gaps for employees. 34:41 🤖 *Risks and Challenges of AI in HR* - Risks of hallucinations and misinformation in AI. - Importance of human reasoning in decision-making. - Challenges in balancing AI tools with human interaction. 35:42 🚨 *AI Hallucinations and Ethical Considerations* - Hallucinations as a challenge in AI research. - Need for ethical use, monitoring, and proper sourcing of AI data. - Recent lawsuits highlighting ethical concerns in AI. 37:39 🔄 *HR Evolution: Past and Present* - Evolution of HR roles from World War II to the AI era. - Transformation from transactional to strategic HR roles. - Anticipated impact of AI on 80% of US jobs. 39:11 🧠 *AI Limitations: Wisdom and Human Reasoning* - AI's lack of wisdom, intuition, and human-like reasoning. - Balancing AI tools with the need for human interaction. - Addressing challenges where humans prefer interacting with humans. 41:05 🤔 *Anticipated HR Challenges due to AI* - Concerns about misinformation and presenting incorrect data. - Security concerns related to entering confidential data into AI systems. - Balancing AI practices with the need for human interaction. Made with HARPA AI
