WorkLab• Dec 16, 2025• 29:55Interview

Is Agentic AI upending the corporate ladder? EY's Global Consulting AI Leader shares what’s coming

From WorkLab

Dan Diazio•Global Consulting AI Leader, EY

Executive Summary

EY is proactively disrupting its own effort-based, billable-hour business model with a $1B+ investment in its 'ey.ai' initiative, transforming itself into an AI-powered 'frontier firm'.
The role of the knowledge worker is evolving from content producer to a 'creator' who manages AI agents, making human skills like critical thinking, creativity, and delegation more valuable than ever.
Companies are warned against focusing solely on incremental productivity gains, as the primary threat comes from unseen, AI-native startups that are reinventing entire business models.
The future workforce will see even entry-level employees acting as managers of AI agents from day one, requiring a fundamental shift in skills, training, and the very structure of the corporate ladder.

12 quotes

Concerns Raised

Companies are focusing too much on productivity gains instead of strategic business reinvention.
Incumbents are threatened by unseen, agile, AI-native startups.
Overcoming the 'muscle memory' of old business models, like the billable hour, is a significant challenge.
Without human guidance, AI produces commoditized, 'statistically same' output, raising the quality floor but not the ceiling.

Opportunities Identified

Transform business models from effort-based systems to value-based outcomes powered by AI.
Elevate the role of employees to be strategic managers of AI agents, increasing job satisfaction and impact.
Reinvent core business functions to create entirely new markets and value propositions.
Leverage the scale, proprietary data, and customer relationships of legacy firms as a competitive advantage.

Key Themes

Proactive Self-Disruption

EY is undergoing a massive internal transformation, symbolized by its 'ey.ai' unit and a $1B+ investment, to shift from its traditional effort-based, billable-hour model to an AI-powered one. This involves large-scale upskilling and using itself as 'Client Zero' to test and prove its AI strategies.

This demonstrates how a large, legacy organization can proactively address existential threats from new technology, providing a model for other established firms on how to pivot rather than be displaced.

The Evolving Role of the Knowledge Worker

AI is not eliminating the knowledge worker but fundamentally changing their role. The focus is shifting from producing content to becoming a 'creator' or manager who directs AI agents, making human skills like delegation, creativity, and critical thinking more valuable than ever.

This reframes the 'AI will take our jobs' narrative, highlighting the new skills and mindsets required to thrive and emphasizing that human oversight and context are crucial for achieving exceptional results.

Beyond Productivity to Reinvention

The speaker argues that companies are overly focused on using AI for incremental productivity gains, often in back-office functions, while neglecting the technology's transformative potential. The true opportunity lies in a 'reinvention agenda,' where entire business functions are redesigned from the ground up to be AI-native.

This is a strategic warning for business leaders. Focusing only on cost-cutting with AI is a defensive posture that leaves companies vulnerable to more ambitious, AI-native competitors who are creating entirely new value propositions.

The Human-Agent Collaboration Model

Effective AI implementation requires a specific 'human-agent-human' workflow. A human initiates a task with context, an AI agent executes the work, and a human reviews and refines the output, combining AI's power with human skills like critical thinking, systems thinking, and domain expertise.

This provides a practical framework for integrating AI into daily work, underscoring that AI is a tool that amplifies human capability, not a replacement for it, and that the quality of the final output depends on human guidance.

The Rise of AI-Native Competition

Established companies are more concerned about competition from unseen, AI-native startups than from their traditional rivals. These new entrants can achieve multi-billion dollar valuations with small teams, leveraging AI to create highly disruptive business models that can rapidly erode the market share of legacy firms.

This highlights the existential threat facing incumbents. The speed and scale of AI-native disruption create an urgent imperative for established companies to accelerate their own AI transformations or risk becoming obsolete.

Get started free

Topics

AI Strategy Business Model Disruption Knowledge Work Consulting AI Agents Agentic AI Future of Work Upskilling Corporate Transformation Frontier Firms AI-Native Companies Human-AI Collaboration Productivity vs. Reinvention Change Management Leadership

Processed Apr 9, 2026 yt-dlp + mlx-whisper + Gemini