An Identity Crisis Unfolding Today
In 2026, PwC released its annual Digital Trends report with the subtitle "How AI Reinvents Enterprise Performance." Deloitte published its annual "State of AI in the Enterprise" report. MIT Sloan Review explored "How to boost your organization's AI maturity level." Workday released "What Are the Biggest HR Challenges of 2026."
These seemingly independent reports all point to the same issue: AI is systematically reshaping the role of "manager." But a deeper question emerges: when AI can do more and more of what was traditionally considered "management work," where exactly does a leader's value lie?
Insight 1: From "Decision-Maker" to "Human-AI Collaboration Designer"
Traditional managers have three core functions: information processing, decision-making, and coordination/control. AI is challenging managers on all three fronts.
PwC's 2026 Digital Trends report notes that AI is no longer just an efficiency tool — it is redefining how enterprises operate. This means the manager's role is shifting from "I say, you do" to "I design how humans and AI work together."
This shift is critical: managers no longer need to make every decision, but they do need to decide which decisions go to AI, which stay with humans, and how the handoff works between them. This is essentially the organizational practice dimension of the Human-AI Fit concept in Connie's research.
Insight 2: AI Maturity Becomes the New Measure of Leadership
Deloitte's 2026 AI report surveyed thousands of enterprises globally and found that AI maturity is no longer a KPI for the IT department — it is a strategic agenda that the CEO must personally drive.
Organizations with high AI maturity share a common trait among their leaders: dual competence in AI literacy and humanistic vision. You don't need to write code, but you do need to understand what AI can and cannot do, and how to help your team adopt AI-driven workflow changes with minimal friction.
MIT Sloan Review's article "How to boost your organization's AI maturity level" offers a key insight: the bottleneck for AI adoption is not technology, but leadership — specifically, leaders' lack of organizational change management capability in the AI era.
Insight 3: Middle Managers' "Displacement Anxiety" Is Real
Workday's 2026 HR Challenges report carries an implicit message: middle managers are experiencing the most profound identity crisis.
The reason is sobering: when AI can handle — schedule coordination, report writing, data analysis, basic performance evaluation — tasks that traditionally occupied 60-70% of middle managers' time, the role of middle manager needs to be redefined.
This could lead to two outcomes:
- Positive: Middle managers are freed from routine tasks, pivoting toward more valuable strategic thinking and team empowerment
- Negative: Middle managers fall into "defensive turf protection," becoming a barrier to AI transformation
The key variable? Leaders' cognition and behavior — which is precisely the core determinant of an organization's AI maturity.
Insight 4: The More Powerful AI Gets, the More Important "Soft Skills" Become
This may be the most counterintuitive conclusion. The logic goes like this:
- When AI can handle information, human value shifts to meaning
- When AI can provide answers, human value shifts to questions
- When AI can complete tasks, human value shifts to judgment
HBR's April 2026 study ("Why Companies That Choose AI Augmentation Over Automation May Win in the Long Run") provides empirical support for this view. It found that companies choosing "AI augmentation" over "AI automation" perform better in long-term competitiveness.
This means, in the AI era, empathy, cultural understanding, and ethical judgment — skills once considered "nice-to-have" — are becoming core competitive strengths.
Connections to Connie's Research Areas
- Human-AI Fit: Core relevance — This article addresses the central question of "what is the unique value of human leaders in the AI era," which is the organizational dimension of Human-AI Fit research
- Knowledge Management: Improving AI maturity requires a supporting knowledge management system — AI can generate information, but only humans can turn it into organizational wisdom
- Globalization: AI leadership in multinational enterprises also has a cross-cultural dimension — expectations around "how much AI should manage" vary enormously across cultures
Conclusion
AI can replace 70% of management work. But the remaining 30% — making value judgments under uncertainty, empathizing in complex situations, building trust within a team — is precisely the most valuable 30%.
This 30% of value will determine whether an organization merely "uses AI" in the AI era, or truly becomes stronger because of AI.
References
- Digital Trends in Operations: How AI Reinvents Enterprise Performance — PwC, 2026
- The State of AI in the Enterprise — 2026 AI Report — Deloitte, 2026
- How to boost your organization's AI maturity level — MIT Sloan Review, 2026
- What Are the Biggest HR Challenges of 2026? — Workday, 2026
- Why Companies That Choose AI Augmentation Over Automation May Win in the Long Run — Harvard Business Review, 2026.04
- AI is finally delivering productivity — for remote employees — Computerworld, 2026
- Navigating the AI-enabled workforce shift: From managing exits to orchestrating ecosystems — Deloitte, 2026
Some arguments are based on synthesized analysis. [The specific data source for the 70% replacement rate requires further verification.]