Introduction

Artificial intelligence, large language models and advanced workforce technologies are transforming how organisations attract, develop, engage and retain talent. These technologies create opportunities to improve workforce planning, talent management and organisational performance, while also introducing challenges relating to data quality, algorithmic bias, privacy, transparency and overreliance on automated decision-making. As organisations adapt to the AI economy, leaders must balance technological innovation with ethical governance, employee wellbeing and sound human judgement to ensure sustainable organisational success.

This Human Capital Leadership for the AI Economy training course provides participants with practical frameworks for leading workforce transformation while maintaining a strong human-centred approach to leadership. Participants will explore strategic workforce planning, talent systems, organisational culture, psychological safety, workplace mental health, responsible AI governance and ethical decision-making. The course enables leaders to strengthen organisational capability, build agile workforce strategies, promote employee wellbeing and position human capital as a strategic driver of long-term organisational performance.

Key focus areas of this Human Capital Leadership for the AI Economy training course include:

Key Learning Outcomes

At the end of this Human Capital Leadership for the AI Economy training course, participants will be able to:

Training Methodology

This Human Capital Leadership for the AI Economy training course adopts an executive-focused and highly interactive learning approach that combines expert-led presentations, facilitated discussions, organisational scenarios, structured exercises and collaborative problem-solving activities. Participants will evaluate contemporary human capital challenges, apply practical leadership frameworks and develop strategies for workforce planning, organisational transformation, ethical AI governance and employee engagement. The emphasis throughout the course is on strategic thinking, informed judgement and practical application.

Human Capital Leadership for the AI Economy

Who Should Attend?

This Human Capital Leadership for the AI Economy training course is designed for professionals responsible for workforce strategy, talent development and organisational leadership, including:

  • Chief Human Resources Officers (CHROs)
  • Human Resources Directors and Senior HR Leaders
  • Senior and Middle-Level HR Professionals
  • HR Business Partners
  • Organisational Development Professionals
  • Talent Management and Leadership Development Leaders
  • Workforce Planning and Human Capital Specialists
  • Business Unit and General Managers
  • Digital Transformation and Change Leaders
  • HR Professionals preparing for strategic leadership responsibilities

Course Outline

Day 1

Human Capital Leadership in the AI Economy

  • Examine the changing role of the human capital leader
  • Assess how AI and LLMs are changing work and skills
  • Distinguish credible applications from exaggerated technology claims
  • Compare job-based and skills-based workforce models
  • Evaluate the strategic value of human capital investment
  • Assess leadership readiness for technological change
Day 2

Workforce Architecture and Talent Systems

  • Design agile organisational and workforce structures
  • Plan for permanent, contract and flexible talent
  • Apply continuous workforce planning methods
  • Develop internal mobility and talent marketplace approaches
  • Evaluate predictive analytics and AI-supported talent tools
  • Assess workforce decisions for bias, weak data and poor assumptions
Day 3

Learning, Psychological Safety and Mental Health

  • Build continuous learning and skills development systems
  • Use AI and LLMs to support personalised learning
  • Create psychological safety for feedback and experimentation
  • Strengthen emotional and social intelligence
  • Assess workplace mental health risks linked to technological change
  • Address work intensification, insecurity and change fatigue
Day 4

Purpose, Ethics and Human-Centred Leadership

  • Define purpose and meaning in employee engagement
  • Apply ethical standards to AI-supported people decisions
  • Identify and challenge algorithmic bias
  • Strengthen inclusion, fairness and transparency
  • Build trust during organisational change
  • Balance efficiency with dignity, wellbeing and human judgement
Day 5

Integration, Governance and Action

  • Develop a human capital strategy for the AI economy
  • Establish governance for AI and LLM use
  • Define accountability for data, decisions and outcomes
  • Measure the impact of human capital initiatives
  • Produce a practical leadership action plan
  • Develop an implementation roadmap for responsible human capital transformation

International Standards & Professional Alignment

Our training courses are aligned with internationally recognised professional standards and frameworks across leadership, strategy, finance, governance, risk, compliance, and audit. By integrating globally trusted models, we ensure learners develop practical, relevant, and industry-recognised capabilities.

Our trainings draw on leading international standards and professional frameworks, including ISO, ISACA, COSO, OECD, IIA, FATF, Basel, IFRS/ISSB, GRI, NIST, CPD, ILM and the OECD AI Principles. This alignment ensures consistency with global best practices across financial management, risk oversight, digital governance, sustainability, and strategic decision-making..

Designed in alignment with globally recognised professional bodies, our courses support continuous professional development, strengthen organisational capability, and provide clear pathways toward professional certifications valued worldwide.

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