FutureWork™

FutureWork™ is the learning and development ecosystem for the age of AI. 

The Learning and Development Initiative

FutureWork™ - To help individuals and organizations remain relevant, the Learning and Development Initiative (LDI) created the proprietary FutureWork™ - the learning and development ecosystem for the age of AI.  This ecosystem contains the following elements:

  • FutureWork™ Framework - Developed by Dr. Michael Edmondson and the LDI team, and serves as the core operating philosophy and portfolio architecture for LDI.
  • FutureWork™ Inventory is a specialized self-diagnostic tool designed for individuals to assess their self-perceived readiness across various technological and humanistic skill domains.
  • FutureWork™ Portfolio, offers individuals and organizations high-impact courses, precision-tailored custom training, and scalable workforce development programs.

FutureWork™ enables individuals to craft personalized educational pathways by first using the FutureWork™ Inventory, a self-diagnostic assessment grounded in the FutureWork™ Framework, to identify their strengths and development needs across six critical skill domains. Based on these insights, learners can select targeted courses from the FutureWork™ Portfolio, while organizations can partner with LDI to bundle courses or design customized learning pathways that build workforce capability aligned with specific strategic objectives.

Click here to download a one page PDF of FutureWork™ 

Contact us today to learn how FutureWork™ can help you and your team gain the skills and knowledge needed to succeed.

FutureWork™ Executive Q&A

Research-backed answers grounded in global reports on AI, workforce transformation, learning, talent strategy, and organizational resilience.

1. Why is a proprietary learning and development ecosystem, FutureWork™, necessary in the age of AI?
  • AI disruption now cuts across every role, requiring a coordinated capability system rather than fragmented training. The World Economic Forum Future of Jobs Report 2025 shows simultaneous growth in AI, digital, and data skills alongside human capabilities such as resilience, leadership, and analytical thinking. This convergence signals that isolated programs cannot keep pace, while an integrated ecosystem enables organizations to build capability systematically and at scale.
  • Learning must operate as a continuous, embedded system rather than episodic programs. McKinsey’s Development in the Future of Work: 2025 Perspective on Evolving Trends in L&D emphasizes fluid learning ecosystems, experimentation, and embedding development into the flow of work. This shift reinforces why a proprietary model like FutureWork™ becomes essential for aligning learning with daily performance rather than treating it as a separate activity.
  • Work continues to evolve through augmentation and automation, requiring ongoing recalibration of skills. Burning Glass Institute’s Beyond the Binary highlights how task-level changes reshape roles continuously, blending human and machine contributions. A static learning model fails under these conditions, while an ecosystem approach enables continuous updating of both technical and human capabilities.
2. Why is the FutureWork™ Inventory a prerequisite for any organization that wants to remain relevant?
  • Organizations cannot respond to rapid skill shifts without real-time visibility into workforce capability. LinkedIn’s 2026 Talent Report: The Talent Velocity Advantage shows that skills are evolving faster than many organizations can track, creating blind spots in workforce planning. The Inventory addresses this by making capability visible, measurable, and actionable.
  • A gap persists between AI ambition and workforce readiness, requiring clear diagnostic insight. The TalentLMS 2026 L&D Benchmark Report highlights that many organizations invest in AI tools without aligning workforce capability to support them. The Inventory provides the baseline needed to close that gap and prioritize the right development pathways.
  • AI outcomes vary significantly across firms due to differences in workforce capability. NBER’s Firm Data on AI demonstrates that adoption success depends on how organizations deploy, manage, and evaluate AI within workflows. Without a diagnostic tool like the Inventory, organizations struggle to identify why similar technologies produce different results.
3. How does FutureWork™ translate global AI and workforce trends into actionable organizational strategy?
  • Global labor market data reveals rapid shifts in required skills, requiring structured interpretation. LinkedIn’s Labor Market Report (2026) highlights accelerating demand for AI, digital, and data literacy alongside adaptability and learning agility. FutureWork™ translates these signals into a structured framework organizations can operationalize.
  • Macroeconomic research confirms that workforce transformation depends on closing skill gaps systematically. The IMF Staff Discussion Note (2026) emphasizes that new job creation in the AI economy requires both technical and human capability development. FutureWork™ provides a mechanism to align workforce development with these macro-level shifts.
  • Competitiveness depends on capability adoption rather than access to technology. McKinsey Global Institute’s Accelerating Europe shows that productivity gains emerge when organizations build the skills needed to use technology effectively. FutureWork™ bridges the gap between access and execution by aligning learning with strategic priorities.
4. What makes the FutureWork™ Framework more effective than traditional skills models or competency frameworks?
  • Traditional models fail to keep pace with AI-driven change. The OECD Digital Education Outlook 2026 highlights the need to integrate AI, digital, and data literacy into modern capability models. FutureWork™ expands beyond static competencies by embedding adaptability and continuous learning into its structure.
  • Employers increasingly prioritize agility and adaptability over static competencies. AAC&U’s Agility Imperative (2025) shows that problem solving, teamwork, and adaptability rank among the most valued capabilities. FutureWork™ directly incorporates these into its six-domain structure, ensuring relevance across roles and industries.
  • Credential overload creates confusion without a unifying framework. Credential Engine’s Counting Credentials 2025 reveals that the abundance of credentials weakens signaling for employers and learners. FutureWork™ provides a coherent taxonomy that connects skills, credentials, and outcomes in a meaningful way.
5. How does FutureWork™ help organizations move from AI experimentation to measurable performance outcomes?
  • AI adoption often stalls due to human and organizational barriers. Harvard Business Review’s Why AI Adoption Stalls identifies issues such as trust, change resistance, and lack of leadership alignment. FutureWork™ addresses these barriers by embedding change navigation and capability development into the adoption process.
  • Productivity gains depend on workflow redesign rather than tool deployment alone. MIT Sloan’s AI Is Not Improving Productivity highlights that organizations must rethink processes and roles to realize value. FutureWork™ supports this by aligning skill development with real work redesign.
  • Performance differences stem from execution capability. Research such as NBER’s findings reinforces that organizations with similar tools achieve different outcomes based on workforce readiness and management practices. FutureWork™ ensures capability development aligns with execution and measurable results.
6. Why is continuous skills visibility and validation more important than ever in an AI-driven economy?
  • Early-career roles and entry-level work are changing fastest. The World Economic Forum Entry-Level Jobs Briefing (2026) shows how AI reshapes foundational roles and expectations. Continuous visibility ensures organizations can respond before gaps widen.
  • AI adoption continues to accelerate across industries. Stanford HAI’s AI Index Report 2025 documents rapid growth in AI capabilities and deployment. This pace of change requires ongoing validation of workforce readiness rather than periodic assessment.
  • Job quality and mobility increasingly depend on transferable capabilities. Gallup’s American Job Quality Study (2025) links skills to engagement, advancement, and long-term stability. Visibility into those skills allows organizations to improve both performance and employee outcomes.
7. How does FutureWork™ enable organizations to align talent development with business strategy, workforce planning, and ROI?
  • Economic growth now depends on building AI, data, and digital capability at scale. The World Economic Forum New Economy Skills (2025) report emphasizes the need for coordinated capability development tied to business outcomes. FutureWork™ aligns learning investments directly with these priorities.
  • Workforce transformation must balance readiness with employee expectations and adaptability. The Adecco Workforce Trends 2026 report highlights the importance of human-centered transformation and career mobility. FutureWork™ integrates both organizational goals and individual development pathways.
  • Rising global risk increases the need for aligned, resilient capability systems. The World Economic Forum Global Risks Report 2026 underscores the importance of adaptability, decision-making, and resilience in uncertain environments. FutureWork™ supports this by aligning workforce capability with long-term strategic resilience.