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In today’s HR Pulse, gain insight into how:

• CHROs can lead through the AI hype cycle by embedding AI in workflows, preparing teams for adoption, and anticipating labor market shifts.

• L&D teams can evolve from content factories to skills engines by leveraging AI for analytics, skills mapping, and performance-based learning.

• Learning as a meta-skill empowers organizations to thrive in the AI era, fostering adaptability, critical thinking, and continuous growth at every level.

These articles are penned by members of Forbes Human Resources Council, a community of successful human resources leaders on a mission to inspire.

Let’s dive in!

CHROs: Cutting Through AI Hype To Lead With Clarity

GenAI is making waves, offering both opportunities and challenges for HR leaders. As organizations navigate the “hype cycle” of inflated expectations and eventual productive applications, CHROs must rise to the occasion.

Here's how CHROs can lead in this AI era:

🌟 Embed AI Into Workflows: HR teams can use AI to tackle real problems, such as Accenture’s "Feedback Coach," which boosted employee feedback by 89%. Start small, identify practical use cases, and scale wisely.

📚 Build AI Readiness Across Teams: Few employees feel prepared for AI adoption. Follow Hearst’s example: develop role-specific training to enhance efficiency and confidence.

🌍 Monitor Labor Market Shifts: AI will alter job demands, creating a need for mass reskilling. Focus on cultivating adaptable soft skills, such as leadership and problem-solving, to future-proof your workforce.

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From Content Factories To Skills Engines: L&D’s AI Evolution

Learning and Development (L&D) teams are at a pivotal juncture: they can use AI to churn out more content faster, or reimagine their role as enablers of workforce capability. While many teams are using AI for script drafting or assessment creation, the real opportunity lies in aligning learning efforts with business outcomes.

Here’s how to make the leap:

📊 Harness AI For Analytics: AI enables L&D teams to analyze real-time performance data, pinpointing skill gaps instead of relying on lagging metrics like course completions.

🎯 Focus On Workforce Enablement: From adaptive development plans to on-demand roleplay exercises, AI can integrate learning into employees’ workflows, tackling challenges as they arise.

🗺️ Prioritize Skills Mapping: AI benchmarks job roles and performance data, helping L&D target critical skills rather than packaging irrelevant content.

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Learning: The Ultimate Meta-Skill In The Age Of AI

As AI reshapes industries, one skill stands out: the ability to learn. Mastering adaptive, strategic, and continuous learning empowers individuals and organizations to thrive no matter the situation.

Here’s how to embrace learning as a foundational meta-skill:

🏢 Organizations: Build Learning Into Culture: Survey employees on AI adoption, identify where it adds value, and create seamless, day-to-day learning opportunities tied to real work. Reward systems and expert networks can amplify the impact.

🧑‍🤝‍🧑 Leaders: Make Learning Part Of Team DNA: Leaders must address concerns like skill erosion or job risks while embedding learning into team workflows through experimentation, feedback, and collaboration.

💡 Individuals: Treat Learning As Superagency: Shift from passive learning to active, growth-focused strategies. Use evidence-based techniques to retain knowledge, reflect, and amplify AI’s potential with human creativity and judgment.

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Wrapping Up

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