I’ve worked in AI for decades. Agentic AI will irreversibly change our workforce whether enterprises like it or not



After more than 25 years in AI and Digital, one thing is certain: we’re far past asking if technology will transform work. The only question now is how fast that transformation will happen.

The data is already clear. KPMG’s 2025 CEO Outlook — surveying more than 1,300 global CEOs — reveals that nearly three-quarters plan to allocate 20% of their entire budgets to AI in the next 12 months alone. For the second year running, AI is their top investment priority.

But here’s the crucial insight: these leaders aren’t preparing for mass layoffs. They’re hiring for AI fluency and investing heavily in upskilling. They’re preparing for the rise of what I call the Superhuman Employee — professionals augmented by AI to achieve what was once impossible.


From Automation to Augmentation

The catalyst for this shift is the rise of AI agents. Unlike traditional systems that follow predefined steps, agents are goal-driven. With the right context, they independently marshal tools, knowledge, and resources to achieve outcomes — optimizing human potential along the way.

They don’t ask, “How has this always been done?”
They empower us to ask, “What’s the best way to do this?” — and even, “What’s stopping me from doing it?”

That subtle shift changes everything. It dismantles long-standing boundaries — between functions, between expertise, between what’s possible within a workday.

Imagine a procurement analyst working with AI agents that understand finance, third-party risk, vendor relationships, and optimization pathways across complex networks. That analyst isn’t just doing procurement anymore — they’re operating at a new level of capability.

This is the superhuman effect in action — augmentation that expands economic activity, fuels innovation, and unlocks new forms of value creation. Yes, there will be a disruption. But the reward is nothing short of transformative: we’re rewiring how enterprises operate.


Three Roles, One Revolution

This transformation will redefine the very structure of work. We’ll see three distinct roles emerge:

  1. Agent Bosses — those who build, manage, and govern AI agents.

  2. Agent Evaluators — those who assess and optimize their performance.

  3. Superhumans — professionals who collaborate with AI as everyday teammates.

This isn’t just a reshuffling of job titles. It demands a rethink of organizational design — from decision rights and accountability to performance measurement and workflows.

A team might soon consist of three people and a dozen AI collaborators. So, what does onboarding look like when one of your teammates is an AI? How do you assign an identity, measure productivity, or define accountability in human-AI decision-making? Who maintains these digital teammates?

These are no longer theoretical questions. Leading organizations are already experimenting with hybrid team structures and creating roles like Agent Boss to manage and scale AI collaborators. The future of work is being built in real time.


Building the Foundation for the Superhuman Era

The biggest challenge isn’t technology — it’s context. Most enterprise knowledge still lives inside people’s heads, in unstructured and tribal forms. For Superhumans and AI teammates to thrive, companies must formalize and protect that collective intelligence.

That means creating enterprise memory systems — capturing not just data, but the decisions, intuition, and judgment that define how a business truly operates. Think of it as building a Pensieve for the enterprise — a living, evolving source of truth that any AI agent can tap into.

We call these context cartridges and knowledge capsules — the building blocks of intelligent augmentation. Without them, we’re building Superhumans on quicksand.

Equally critical is an Agent Control System — a unified platform to register, govern, operate, and continuously improve a federated AI workforce. Much like HR systems manage people, this “AI operating system” manages the lifecycle of enterprise agents — giving them identities, monitoring performance, ensuring compliance, and maintaining accountability for their human overseers.

Organizations that invest in this infrastructure now will hold a lasting competitive edge.


The Interface Revolution Is Here

In the next 18 months, expect a radical shift in how we interact with AI. Voice, text, visuals, and even gesture will merge into natural, ambient systems that sense and anticipate what you need — before you even ask.

The Superhuman Workforce isn’t a vision of the future; it’s already emerging across enterprises today. The question isn’t whether this transformation will happen — it’s whether your organization will shape it, or be shaped by it.

After a quarter-century in AI, I can tell you this:
The leaders who act now — who invest in context, control, and collaboration — won’t just adapt to this revolution.
They’ll define it.


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