CMO roles and responsibilities in an AI-first team

In a traditional marketing team, much of the CMO's week goes on approving work. That job is shrinking. As AI drafts more of the copy, creative and analysis, the leader who reviews every output becomes the slowest part of the team. Leading the leaders means something different: building the people and the system that make good decisions when you are not in the room.

Why is the CMO role changing now?

Because the volume of work is rising faster than any leader can review it. The dentsu-e4m Digital Advertising Report 2026 puts Indian advertising at ₹1,21,339 crore in 2025, with digital media at ₹71,621 crore, or 59%. It projects digital at ₹98,034 crore by 2027, equal to 70% of total spends. More digital spend means more formats, more variants and more data to act on.

AI is taking on a growing share of that work. The CMO Survey (spring 2025, 281 marketing leaders at US companies) found AI powering 17.2% of marketing activities, with leaders expecting 44.2% within three years. These are US figures, but Indian teams use many of the same tools.

Results lag adoption. Adobe's June 2025 India study of 345 executives found that 23% of Indian businesses show measurable results from generative AI. It also found 57% rate governance, compliance and privacy as their top barriers to scaling AI, and 55% of practitioners said balancing AI with human creativity is where they have the most work. Those are leadership problems more than tool problems.

In my experience of managing multiple creative, media and digital agencies at VLCC, the approver model holds up only while one person can see all of the work. Once a team runs national campaigns, apps and performance budgets at the same time, approval becomes the queue everyone waits in, and AI makes that queue longer.

Who owns AI in marketing?

Often not the CMO. A Spencer Stuart survey published in December 2025 found the CTO or CIO most often leads AI strategy and implementation (44%), followed by the CMO (32%) and the CEO (19%). The page does not give a sample size or country split, so treat it as a signal rather than a benchmark.

On headcount, the same survey found 17% of respondents had reduced marketing headcount, while 69% had kept team numbers the same while shifting capabilities. The CMO Survey reported that US marketing organisations grew headcount by 5.4% in 2024. Neither suggests that marketing teams are disappearing. Both suggest the work inside them is changing.

So the CMO may not own the AI budget, but the CMO still owns what AI says to customers. That includes brand quality, disclosure and sector rules. In healthcare, for example, the NMC's 2026 guidelines require AI-generated promotional content that is otherwise allowed to carry a mark stating that its origin is AI, as covered in this series' NMC explainer.

What does a CMO who leads leaders actually do? Four jobs

I group the role into four jobs. Each one replaces a habit that worked when the team was smaller and slower.

1. Direction: set the few bets and the bar

Choose the three or four outcomes marketing commits to this year and write down what "good" looks like for the work that serves them. A written quality bar lets AI-assisted work be checked by anyone on the team, not only by you. Include what the brand never says, which claims need proof and when content must be disclosed as AI-made.

2. Bench: build leaders who decide without you

Give each direct report one outcome they own end to end, with a budget and the authority to decide. Your role moves to coaching: reviewing their decisions after the fact, asking what they would change and widening their scope when they are ready. The test is simple. If you are away for two weeks, do good decisions still get made?

3. System: own how people, AI and agencies work together

Map the main workflows (campaign creation, content, reporting, lead handling) and decide, step by step, what AI drafts, what a person checks and who signs off. Agree with the CTO or CIO which tools are approved and what data may go into them. Set a review step for regulated claims. This is where the 57% governance barrier in Adobe's study gets solved or ignored.

4. Translation: speak the board's language

Report marketing in revenue, margin, customer acquisition cost and risk, not in impressions and reach. When AI saves time, say where the time went: more tests, faster launches or lower agency spend. Agree the measures with the CFO before the year starts, so the debate is about results rather than definitions. Teach your leaders to write the same way, because a CMO who is the only translator becomes a bottleneck again.

From old habit to new habit

Job	Old habit	New habit	Signal it is working
Direction	Approve each campaign	Publish the year's few bets and a written quality bar	Team members can explain the bets without notes
Bench	Hold decisions at the top	Give each leader an outcome, a budget and decision rights	Fewer items wait for the CMO's sign-off each week
System	Add tools as teams ask for them	Redesign workflows with clear AI and human steps	Fewer rework cycles on AI-assisted output
Translation	Report activity metrics	Report commercial results and risk	The CFO asks to see marketing's numbers, not only receives them

Should a growing company hire a fractional CMO?

Sometimes. Some founders hire a performance marketer or an agency first and add senior marketing leadership later. A fractional CMO can do the four jobs part-time: set direction, hire and coach the first managers, design the operating system and report to the board. That suits companies with a small team that needs a plan more than daily supervision.

A fractional arrangement works less well when the team is large, decisions are daily and someone must own results full-time. The right question is not "how senior" but "how many hours of leadership does this team need each week".

My view is that a fractional CMO makes most sense for an early D2C brand or a B2B company that has performance or agency support but no one setting direction. It makes least sense for a multi-location business such as a clinic chain, where daily decisions on local campaigns and enquiries need someone accountable full-time.

How do you make the shift? A plan for the first 90 days

In the first month, write the quality bar for AI-assisted work and list which tools and data the team uses. In the second month, move one approval step down to the leader who owns that outcome, with the quality bar as their guide. By day 90, report to the board in revenue, margin and risk terms, and review which decisions still wait for you.

If every AI-assisted draft still waits for the same senior sign-off, the time AI saves is lost in the queue.

Where does this shift matter most?

In teams with high content volume and many channels, such as D2C, retail and consumer brands, where AI multiplies output fastest and approval queues grow longest. In regulated categories like healthcare and finance, the shift still applies, but the named review step for sensitive claims stays firmly with qualified people.

An eight-question self-check

Answer yes or no. Fewer than five yeses suggests the role is still built around approval.

1. Can every direct report name the outcome they own this year?
2. Do your leaders have budgets they can spend without your sign-off?
3. Is there a written quality bar that covers AI-assisted work?
4. Do you know which AI tools your team uses and what data goes into them?
5. Is there a named review step for regulated or sensitive claims?
6. Do you report to the board in revenue, margin and risk terms?
7. Did you spend more time last month coaching leaders than approving work?
8. Would good decisions get made if you were away for two weeks?

My view

I rose from Assistant Marketing Manager to Deputy General Manager at VLCC over more than a decade, and as Marketing Head and later Deputy General Manager I mentored cross-functional teams and managed multiple creative, media and digital agencies.

My view is that the habit that slows Indian marketing teams most as AI arrives is keeping sign-off exactly where it was. If every AI-assisted draft still queues for the same senior approval, the time AI saves is lost in waiting. Moving decisions down to the leaders who own each outcome, with a written quality bar to guide them, is what lets the speed reach the customer.

Lead the system

AI will keep taking on more of marketing's production work. The leaders who gain from that are the ones who spend their time on direction, people, systems and the board conversation. For the team-level view of moving from AI pilots to daily practice, read AI in Indian marketing teams: beyond pilots.

If you are weighing senior marketing leadership for your own company, full-time or part-time, my marketing leadership advisory page sets out how I work with founders and CEOs.