The next big role in the enterprise is the Chief Work Officer

Two years ago the most talked-about seat in the C-suite was the Chief AI Officer. Most large enterprises now have one, or a CDO doing the key elements of that job. Yet Gartner reports that 59% of AI initiatives never reach production. That will be a big topic at the IT Symposium in November.

The problem was never who owns the AI. It is who owns the work.

Every day, an enterprise makes thousands of small decisions that add up to its biggest operating decision: for this piece of work, who or what should do it? A permanent employee, an on-demand specialist or an AI agent?

That decision drives cost, speed, risk and quality. And in almost every enterprise I speak to, nobody owns it. It sits in the cracks between HR, IT, procurement and the business. Everyone touches it. Nobody is accountable for it.

That is why I believe the next big role in the enterprise is the Chief Work Officer.

The workforce is now three workforces

In The 40/40/20 Workforce I set out the shape technology functions are moving towards:

• 40% full-time employees who hold context, culture and accountability.
• 40% on-demand specialists engaged for defined outcomes. This includes the professional services spend that often sits away from HR and TA.
• 20% AI agents executing repeatable work under named human owners.

The ratio is a direction of travel, not a quota. The point is that work is no longer done by one type of resource. It is done by a blend. And a blend needs an owner.

Why now: four shifts that make the role unavoidable

1. Agents have moved from pilot to production. Gartner expects around 40% of enterprise applications to embed task-specific agents by the end of 2026, up from under 5% in 2025. It also predicts at least 15% of day-to-day work decisions will be made autonomously by 2028. Agents are now doing real work, and someone has to decide which work.
2. AI value comes from work design, not models. McKinsey finds fundamental workflow redesign is the strongest predictor of financial impact from AI. Yet only about 21% of organisations have redesigned any workflow. The rest are layering agents onto processes built for humans. Work design is a leadership job, and right now it has no leader.
3. Agents have created an accountability gap. Enterprise Management Associates found 98% of large organisations are deploying agents, while 79% lack formal security policies for them. Worse, research across 1,261 managers found that where agents were treated as “employees”, review quality fell 16% and 18% fewer errors were caught. Accountability that attaches to software does not disappear. It becomes unenforceable.
4. The bill has arrived. McKinsey reports enterprise LLM spend tripled in twelve months, and 93% of enterprises exceeded their AI budgets. At the same time, 66% of technology leaders expect to increase their use of contract professionals (Robert Half). Spend on agents and specialists is rising fast, and it is being decided in three different places.

Why the existing C-suite cannot absorb it

Each current role owns a slice. None owns the whole.

• The CHRO owns employees. Not agents, and not the external specialist supply chain.
• The CIO and CTO own the technology and increasingly the agents. They do not own how work is composed across finance, operations or product.
• The CFO tracks the cost of resources, not whether they were deployed to the right work.
• Procurement optimises contracts for price, not capability or outcome.
• The Chief AI Officer owns the 20%. The Chief Work Officer owns the 100%.

Put this role under any one of them and you limit it to that function’s domain. You rebuild the silos that created the problem.

The CFO reports to the CEO because money flows through every function. The Chief Work Officer should report to the CEO for the same reason. Work flows through every function too.

What the Chief Work Officer actually owns

The mandate is narrow and specific: own the operating model for how all work gets done.

1. Composition. The blend of employees, specialists and agents for every function and programme. Set as policy, adjusted continuously as work changes.
2. Visibility. One live inventory of every human skill and every AI agent, in a common language such as SFIA. You cannot allocate what you cannot see.
3. Allocation. When work arrives, it is broken into tasks and matched internal first. Use the people and agents you already have, then fill genuine gaps with the exact specialist needed, not a team of twelve.
4. Accountability. Every agent has a named human owner, a defined scope, a budget and a kill switch. Agents sit on the org chart for governance. Humans hold the accountability.
5. The economics of work. Cost per outcome, not cost per head. Every composition decision has a cost, speed and risk consequence, and someone has to answer for it.

Reporting into this role is strategic workforce planning, skills intelligence, work orchestration and agent governance. A function, not a lonely title dropped into someone else’s org chart.

What the first 90 days look like

The role earns its seat quickly or not at all. A credible first quarter:

1. Baseline the current mix. Consolidate FTE, contingent and agent data from HR, procurement and IT into one view. Most enterprises cannot state their true split today.
2. Run a task audit on one function. Break roles into tasks and classify each as needing institutional context, episodic expertise or repeatable execution.
3. Redesign one workflow end to end. Prove the blend on something measurable, such as service desk triage, regression testing or code review.
4. Register every agent. Owner, scope, data access, risk tier. Before the next one reaches production.
5. Rebalance the contingent portfolio. Most are over-indexed on SIs and outsourcers through renewals nobody has questioned in years.

“Isn’t this just another C-suite title?”

It is a fair challenge. The C-suite has suffered plenty of title inflation.

The test is simple. Is there a decision with direct P&L consequence that is made thousands of times a day with no single owner? If so, the role is not inflation. It is overdue.

Titles are cheap. Unowned decisions are expensive.

Conclusion

Most enterprises do not have a talent shortage or an AI problem. They have an ownership problem.

The first Chief Work Officers will likely not come from HR. They probably come from delivery such as the CIO’s office, the PMO and transformation teams. The people already living with the consequences of work that nobody designed.

The enterprises that create this role in the next twelve months will build the data, the muscle and the operating cadence to run a blended workforce on purpose. The rest will have their 2030 org chart drawn for them by default, by hiring managers, ungoverned agents and contract renewals.

The book set out the model. Mobilise is how you run it. The Chief Work Officer is who runs it.

You can try the free Mobilise interactive demo here.

Rich Wilson is CEO and Co-Founder of Gigged.AI and creator of the 40/40/20 Workforce Model. He is the author of The 40/40/20 Workforce: The Definitive Guide for CIOs and CTOs.