AI investment has exploded in the past five years. But investment alone does not create business value, and this may be one of the biggest blind spots among today’s AI transformation strategies. The organizations that build and retain real advantage with AI will be the ones who invest in upskilling their workforce to adapt to new ways of working.
Our latest State of Workplace Empathy data reveals a consequential divide in the C-suite: Leaders agree that AI matters, but they are making very different bets about whether it should reduce labor costs or expand workforce capability.
The concerning assumption behind many AI initiatives is that technology alone creates business value. McKinsey found that although 92% of executives plan to increase AI investment, only 1% say their organizations have reached maturity in AI deployment.
AI can expand workforce capability, but using it to strengthen employees and using it primarily to reduce headcount are fundamentally different operating models. Each leads to different decisions about talent, training, workflow design, governance, and long-term value creation.
AI workforce readiness is an organization’s ability to equip employees with the skills, training, governance, and confidence to use AI effectively. A workforce-ready organization aligns AI investment with employee capability, workflow redesign, human oversight, and measurable business outcomes.
According to PwC’s 2025 Global AI Jobs Barometer, the skills required in jobs most exposed to AI are changing 66% faster than in jobs least exposed to it. That pace creates an immediate workforce challenge: Companies cannot capture lasting value from AI if employee capabilities do not evolve alongside the technology.
Our own 2026 State of Workplace Empathy data suggests many organizations have not aligned those priorities:
Organizations that treat AI primarily as a cost-reduction tool risk weakening the expertise they will need to implement it successfully. AI can accelerate tasks and surface patterns, but employees still provide context, accountability, creativity, and judgment.
A deeper read: Our AI special report digs into AI sentiments among employees and why some executives are prioritizing headcount reduction instead of training. Read the 2026 AI special report
Taken together, the speed of skills change documented by PwC and the gap between AI investment and workforce upskilling in our research point to a readiness problem that leaders cannot solve through technology deployment alone.
Organizations are deploying AI faster than they are building the skills, operating models, and leadership practices required to use it well.
AI will not—and cannot—replace the human workforce. But over a quarter of the executives we surveyed said that reducing costs via headcount is a primary motivation behind AI investment.
The leaders closest to implementation understand something important: workforce readiness is not a secondary consideration. It is a prerequisite for scale.
These questions determine whether AI investment produces sustainable outcomes or short-term gains that become difficult to maintain: How will work change? Which capabilities and skills will employees need? Where will human judgment remain essential? How will the organization measure value? And is the workforce prepared to adapt as AI capabilities continue to evolve?
What’s going on in America’s C-suites right now? Our latest State of Workplace Empathy report unlocks what top executives are up against. Read Part 1 of our C-suite report
AI transformation requires visible executive ownership. Leaders must define the business objective, determine how value will be measured, align technology and talent decisions, and create the conditions for employees to adapt as work continues to change.
The future winners will not necessarily be the companies deploying the most AI. They will be the companies creating the strongest combination of technology capability and workforce capability.
That means investing in:
When used correctly, AI can make organizations faster, more adaptive, and more competitive.
AI does not create value on its own. People create value. The future we are building is one in which employees use AI to streamline processes, take over mundane tasks and help brainstorm new ideas. This partnership allows employees to focus more of their time on meaningful, high-impact work.
The competitive advantage that comes from AI cannot exist without building an organization that can use AI capabilities in partnership with human judgement, creativity, and purpose. This partnership can lead to better decisions, stronger work and measurable business value.
