By: Sneha Ayyar
Artificial intelligence is making work faster, easier and more scalable. Across IT organizations, coding, analysis, content creation and decision support activities are increasingly being augmented by AI. However, what appears to be a productivity breakthrough may also be creating a hidden skills deficit that organizations can no longer afford to ignore.
The concern is not that organizations will lose technical skills. As AI executes more tasks and makes more decisions, employees are losing the opportunities to exercise the human capabilities that create differentiated business value. The result is a gradual erosion of critical thinking, judgment, creativity and problem solving. Gartner conversations with more than 150 CIOs and technology leaders reveal skills atrophy is an urgent and often overlooked risk. Yet, currently only 40% of CIOs and IT leaders say their organization has a strategy in place to prevent the ongoing decline of skills.
Human foundation skills are mentally demanding. They require people to challenge assumptions, explore ambiguity, reason through trade-offs and accept accountability for decisions. AI makes it easier to bypass these activities. The result is that teams continue to execute and generate outputs, but increasingly spend less time developing the underlying capabilities needed to assess, question and direct those outputs.
This creates a dangerous illusion of capability. Outputs may be technically correct and produced at unprecedented speed, while the skills that ensure quality, resilience and contextual relevance decline beneath the surface. As execution becomes abundant through AI, competitive advantage shifts from producing outputs to directing, challenging and applying them effectively. Organizations that fail to preserve these human capabilities risk scaling outcomes that are technically sound but strategically flawed.
For CIOs, the challenge is no longer simply achieving AI adoption. The challenge is ensuring that AI adoption does not weaken the human foundation skills that make AI valuable in the first place. The solution is also not less AI. It is ensuring that human foundation skills are deliberately exercised alongside AI. To address this risk, and sustain critical human capabilities in an AI-driven workplace, CIOs should focus on the following interventions that embed judgment, critical thinking, creativity and collaboration into the flow of everyday work.
Use simulated environments to test applied human skills. Leading organizations are investing in digital twins, AI simulations and sandbox environments where teams must diagnose problems, navigate trade-offs and make decisions under pressure. These exercises create opportunities to practice judgment, critical thinking and creativity while exposing capability gaps before they become real-world business risks.
Make critical human skills a declared organizational obsession. CIOs should consistently reinforce the importance of judgment, reasoning and problem solving through leadership messaging, decision-making forums and performance reviews. Organizations that sustain differentiation make these skills visible, celebrate examples of strong judgment and create clear expectations that thoughtful challenge, reasoning, creativity are valued as highly as speed and delivery.
Apply chaos engineering principles to people as well as systems. Organizations can intentionally remove AI assistance during incident simulations, architectural reviews and response drills to reveal where human capabilities have weakened. These controlled exercises provide safe opportunities to rebuild independent thinking and decision-making before teams face high-stakes situations.
Tie human foundation skills directly to performance and career progression. Critical thinking, judgment and collaboration should not be assessed through subjective impressions alone. CIOs should define observable evidence of these capabilities, such as documented trade-offs, constructive dissent, risk identification and cross-functional outcomes, and make them part of performance, promotion and development discussions.
Design intentional failure into learning journeys. Human foundation skills are strengthened through friction, experimentation and reflection. CIOs should create safe-to-fail environments where teams can test ideas, make mistakes, learn from outcomes and try again without fear of penalty. Failure should be treated as a learning signal that helps build stronger judgment and critical thinking over time.
As AI continues to commoditize execution, the scarcity that creates value increasingly lies in the human ability to question, interpret, decide and adapt. CIOs that deliberately preserve and strengthen these human foundation skills will be better positioned to unlock AI’s benefits while maintaining the capabilities that drive innovation, resilience and competitive differentiation.