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AI-ready workforce: a diverse team reviewing new AI tools together in a modern office

AI-Ready Workforce

Build the human capacity required to turn AI investment into results

AI can expand what people and organizations achieve, but giving employees access to a tool doesn’t mean they know how it fits into their workflow or when to trust its outputs. The Energy Project helps people build the capacity, curiosity, judgment, and courage to engage with AI confidently and responsibly.

Talk to Us About Building an AI-Ready Workforce →

AI-ready workforce: two colleagues learning a new AI tool together at a laptop

AI Transformation Rests on Human Energy

AI is entering everyday work, yet organization-wide value remains harder to capture. In McKinsey’s 2026 survey, only 37% of respondents attributed a positive impact on their organization’s EBIT to AI use.1 People need the space and support to acquire new skills, question outputs, redesign workflows, and bring others along.

New tools can be unsettling to familiar roles and ways of working, leading to both hesitation around experimentation and reluctance to share concerns. Preparing people to meet this moment with curiosity and sound judgment is critical to an organization making full use of its technology investment.

Who This Work Is For

  • Organizations moving from AI pilots to adoption across teams.
  • Leaders guiding change where fear, fatigue, or resistance is slowing progress.
  • HR and Learning teams building AI capability and supporting employees through change.
  • Teams seeking to preserve critical thinking while using AI to improve work.
AI-ready workforce: a diverse team in a workshop discussing new ways of working with AI

What Makes a Workforce AI-Ready

New technology is important, but it requires the human capacity to adapt as tools, roles, and expectations change. Our work focuses on three connected capabilities:

01

Capacity

People have the energy and focus to learn, think clearly, and adapt amid competing demands.

02

Creativity

People test useful applications, challenge assumptions, and improve how work gets done.

03

Courage

People act through uncertainty, question unreliable outputs, raise concerns, and use AI responsibly.

The Business Case for Human Readiness

While organizations tend to focus on the technological side of an AI rollout, it also asks for a change in how people work. When the workforce doesn’t feel the confidence, courage, and safety to take on the shift, they can end up frozen or lacking the discernment necessary to judge AI outputs, and ultimately, over- or under-relying on the tools. Helping people access those capacities allows organizations to take full advantage of their investment.

The data points to real risk where readiness lags, and real opportunity where it’s already taking hold:

30%

The share of digital transformations that met or exceeded target value and produced sustainable change. This is a broader digital-transformation finding, not specific to AI projects.2

39%

The World Economic Forum expects this share of workers’ existing skills to change or become outdated by 2030.3

63%

Employers surveyed by the World Economic Forum that cited skill gaps as a major barrier to business transformation.4

80%

AI users in McKinsey’s 2026 AI survey who said AI improved their individual productivity, showing an opportunity to build on gains already felt by employees.5

What an AI-Ready Workforce Makes Possible

More purposeful adoption

Employees understand where AI can help and the boundaries for using it.

Better experimentation

Teams test practical use cases, learn from results, and improve workflows.

Improved human judgment

People evaluate AI-generated work, recognize limitations, and remain accountable for decisions.

Continued adaptation

Teams stay open to change as tools and expectations evolve.

How We Build Human Readiness for AI

We help employees recognize their responses to uncertainty and practice the behaviors that make change possible in daily work:

01

Recognize reactive patterns

Notice when pressure or fear leads to avoidance, defensiveness, or excessive control.

02

Regain capacity

Use practical strategies to stay focused and open to learning when demands are high.

03

Lead with curiosity

Ask better questions, explore new possibilities, and invite different perspectives.

04

Act responsibly

Experiment within clear boundaries, challenge outputs, surface concerns, and share what is learned.

Talk to Us About Building an AI-Ready Workforce →

AI Readiness in Practice

“
The workshop was a powerful, practical experience for each of us to truly check in with ourselves and each other. It gave us language, insight and inspiration to transform fear and anxiety into courage and connection.

Robert Freese

Director People Advisory Services at EY

Frequently Asked Questions

What is an AI-ready workforce?
An AI-ready workforce can adapt as artificial intelligence changes how work gets done. Alongside technical knowledge, employees need the capacity to learn, the curiosity to explore new possibilities, and the judgment and courage to use AI responsibly.
Why do organizations need to prepare people for AI adoption?
Access to AI tools does not automatically change how people work. Employees may be unsure where AI is useful, whether they can trust its output, or how it will affect their roles. Preparing people to discuss those concerns, experiment within clear boundaries, and share what they learn helps organizations move from isolated use to more meaningful and effective adoption.
How does The Energy Project help build AI readiness?
We help employees recognize how they respond to uncertainty and build the capacity to stay focused, curious, and open to change. Through practical reflection and experimentation, people learn to question assumptions, evaluate AI output, raise concerns, and identify better ways of working with others.
Does this replace technical AI training?
No. Technical training teaches people how to use particular tools and follow their organization’s policies. Our work develops the human capabilities that help employees apply that training thoughtfully, adapt as the tools change, and remain accountable for their decisions.
How might this look in practice?
An employee might test AI on a suitable task, check the output for errors or bias, ask colleagues for input, and share what worked. Leaders can support that learning by setting clear boundaries, making room for questions, and encouraging teams to improve workflows based on what they discover. Our PeopleFuel work builds the capacity to manage change; Courage Unlocked helps people respond more intentionally to fear and uncertainty.

Build the Human Capacity Behind AI Transformation

The Energy Project helps people engage with AI thoughtfully and creatively, while staying grounded in human judgment. Let’s build the capacity to turn new tools into better work.

Talk to Us About Building an AI-Ready Workforce →

Research Sources

  1. McKinsey, The State of AI: Global Survey 2026. mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai
  2. BCG, Flipping the Odds of Digital Transformation Success (2020). bcg.com/publications/2020/increasing-odds-of-success-in-digital-transformation
  3. World Economic Forum, Future of Jobs Report 2025. weforum.org/publications/the-future-of-jobs-report-2025/digest