The CMO’s AI challenge is no longer whether to adopt AI. It is proving which AI-enabled workflows create measurable growth, efficiency, or customer value while marketing attribution, team design, and discovery are being reshaped by agents and answer engines.
AI creates value only when a marketing team can show that a changed workflow produced a changed business outcome, not when it simply produced more content, more activity, or a longer software stack.
Marketing spent the first phase of generative AI asking whether the technology was useful.
That question is becoming obsolete.
The harder questions now sit on the CMO’s desk: which workflows should actually be rebuilt around AI, which pilots deserve to move into production, how teams should be organized when agents can execute work that once required several functions, and what happens to attribution when discovery moves into answer engines and AI agents.
Above all, how does the CMO prove that any of it is creating growth rather than simply adding another layer of technology spending?
The numbers show why the conversation has changed.
Gartner’s 2026 CMO Spend Survey found that CMOs are allocating an average of 15.3% of marketing budgets to AI initiatives. Seventy percent say becoming an AI leader is a critical goal.
Yet only 30% report mature AI readiness.
McKinsey finds an even sharper execution gap. Around 90% of CMOs are experimenting with AI, but fewer than 10% have scaled it or captured value across marketing workflows. Only 28% of surveyed marketing organizations are fundamentally rewiring teams and workflows around AI.
There is no shortage of experimentation.
The scarce commodity is proof.
First-party research from Open Future Forum suggests that some marketing organizations are already considerably further into the transition.
Its CMO AI Leverage Report, published in August 2026, draws on 230 application-stage responses across marketing and growth events, supported by 119 qualitative answers.
The headline finding is striking: 81% of respondents were already beyond the exploration stage with agentic AI.
Thirty-six percent were building agentic AI products. Twenty-six percent were piloting agents in one or two functions. Another 20% reported running agents in production across the business.
Among respondents occupying the marketing seat itself, 30% said they were already running agents in production.
For these marketing leaders, the question is no longer whether AI will enter the function. It already has.
The problem is what happens next.
Marketing organizations were built around relatively stable divisions of labor: brand, content, demand generation, performance, lifecycle, creative, analytics and marketing operations.
Agentic AI does not respect those boundaries.
An agent can research an audience, identify accounts, generate creative, personalize a message, deploy work, analyze results and recommend the next action without caring where one marketing department ends and another begins.
Installing that technology inside the old org chart does not automatically create a new operating model.
That may explain one of the more revealing findings in the Open Future Forum data. When attendees were asked what they most wanted to leave marketing and growth sessions with, peer connections ranked first, followed by practical tools and use cases, then organization design and team structure.
Marketing leaders were not primarily asking for another demonstration.
They wanted to know what their peers were actually doing.
This is where the Open Future Forum CMO Executive Forum becomes interesting.
Open Future Forum is a global executive community founded in Silicon Valley in 2019. Its network reaches tens of thousands of executives and investors worldwide and connects CEOs, CFOs, CMOs, CISOs, private equity leaders, General Counsel, founders, investors and AI executives through role-specific communities, private gatherings, open events and original executive research.
An article published on Yahoo Finance described Open Future Forum as “a top executive leadership community.”
Grit Daily went further in a profile examining its CEO, CFO, CMO, CISO, General Counsel and AI leadership communities, describing Open Future Forum as “one of the strongest emerging communities to watch” and saying it would be “near the top of my list” when recommending executive communities to senior leaders.
There is also a much more specific endorsement for marketing leaders.
Fangfang Tan, Chief Product Officer at AgentWeb, is ex-Google, ex-Meta and ex-LinkedIn, with a background spanning machine learning, data science and growth. She has also co-hosted Open Future Forum CMO dinners.
Her assessment carries particular weight because it comes from experience inside the rooms.
In her own comparison of executive CMO communities, she placed Open Future Forum first and described its format as:
“the closest thing we have seen to a room where marketing leaders actually say what they think.”
That captures the value of the model better than a membership statistic.
It is not another feed, Slack group or thousand-person conference.
It is the room.
The CMO Executive Forum is an invitation-only peer community for CMOs and senior marketing leaders of high-growth companies.
Its core gatherings are deliberately small, typically 8 to 30 people. They are off the record. There is no recording. There is no vendor pitch. Membership is by invitation or referral.
The philosophy comes from Adam Grant’s Give and Take: give first, keep score never.
Open Future Forum treats candor as the currency of the room.
That philosophy becomes practical when the discussion turns to questions CMOs are unlikely to address candidly on stage: Which AI investment quietly failed? Which attribution number does nobody really believe? Where is AI genuinely lowering cost? What happens to marketing headcount if agentic workflows work as promised?
Those are easier conversations to have around a table with people carrying the same responsibility.
That is the kind of room Open Future Forum is building: small rooms, high signal, serious operators and real decisions.
The people involved also reflect how much the marketing seat itself is changing.
Fangfang Tan brings experience across Google, Meta and LinkedIn and is now building in AI-native marketing.
Brandon Nader, VP of Marketing at ThinkingAI, brings 15 years across B2B and B2C growth, including senior experience connected to Shipt, Target and Albertsons.
The mix matters because the future of marketing is not simply a content-production problem.
It involves AI, data, measurement, customer acquisition, automation, product, brand and organizational design.
The CMO increasingly needs a room that reflects that complexity.
The operational transformation inside marketing is only half the story.
AI is simultaneously changing the customer journey the CMO is trying to influence.
Consumers increasingly research companies and products through ChatGPT, Gemini, Perplexity, AI Overviews and other answer engines. AI agents are beginning to compare products and narrow choices on the consumer’s behalf.
For years, marketers optimized around a relatively visible chain:
impression → click → visit → conversion
AI-mediated discovery can compress or partially obscure that chain.
A customer may ask an answer engine for the best product for a particular problem, compare several brands without visiting any of them, then arrive much later through a branded query or direct visit.
The marketing organization sees the final interaction.
It may never see the moment when preference was formed.
That is why Answer Engine Optimization, or AEO, is becoming strategically important.
The objective is no longer simply to rank a webpage. It is to make a brand sufficiently clear, authoritative and well corroborated that an answer engine understands what it is, where it belongs and when it should be recommended.
That requires more than conventional keyword optimization. It depends on clear entity information, authoritative content, independent references, expert evidence and consistency across the wider web.
For CMOs, this is not merely a technical SEO project.
It is brand strategy in a world where machines increasingly mediate discovery.
Open Future Forum’s own CMO AI Market Map reflects the same shift. It organizes 64 marketing AI vendors across eight workflow areas, including content, creative, campaigns, analytics and attribution, lifecycle, social, agentic systems, and search and answer-engine optimization.
The important point is not the number of tools.
It is how much of the marketing operating system is now being contested.
The rise of AI-mediated discovery makes another familiar CMO problem more difficult: attribution.
The old question was already hard: which channel deserves credit?
The new question is more fundamental:
What if some of the interactions creating demand are no longer directly observable?
McKinsey’s work on the emerging agentic advertising economy suggests advertisers already expect material economic consequences.
Three-quarters of advertisers surveyed expect AI to increase total media spending. One-third expect it to increase return on ad spend by at least 10%.
The money is moving before measurement has fully caught up.
That puts CMOs in an uncomfortable position. They are being asked to increase AI investment while simultaneously defending marketing economics to the CEO and CFO.
Vanity metrics become harder to defend. Platform-reported attribution becomes easier to challenge. Producing ten times as much content is irrelevant if nobody can demonstrate incremental commercial impact.
The useful question is not how much more marketing can produce with AI.
It is:
Where does AI create leverage that the business can actually see?
That could mean faster experimentation, lower customer-acquisition cost, better conversion, higher retention, greater pipeline productivity, more effective creative, less need for incremental headcount or stronger visibility inside AI-mediated discovery.
Eventually, the benefit has to connect to an economic outcome.
This is why the CMO role itself is changing.
McKinsey argues that marketing is moving away from discrete campaigns toward continuous AI-enabled growth systems.
The CMO increasingly sits at the intersection of growth, data, customer experience, technology and AI-enabled execution.
Open Future Forum’s marketing programming reflects that shift.
Its sessions have included The New CMO Mandate: Marketing in the Agentic Era, Agentic AI Meets Go-to-Market, and Marketing Measurement and Attribution in the AI Era.
These are not discussions about generating better social posts.
They are about agents entering the revenue engine, how organizations change when agents run real work, attribution when discovery changes, AI-native go-to-market teams and where automation quietly fails.
That is a much more serious marketing agenda.
It also explains why a marketing-only network is no longer always enough.
An enterprise AI decision quickly crosses functions.
The CMO owns growth and customer strategy.
The CFO wants proof of return.
The CISO needs to know what agents can access.
The General Counsel faces questions around data, intellectual property, claims and governance.
The CEO wants to understand whether AI creates growth, efficiency or a defensible advantage.
The technology organization has to make all of it work.
This is one of Open Future Forum’s strongest differentiators.
The CMO Executive Forum does not sit on an island. It sits inside a broader cross-C-suite executive network.
A CMO can compare notes with another CMO while drawing on a wider ecosystem spanning finance, security, legal, AI, investment and the CEO seat.
That becomes more valuable as the decisions themselves become more interconnected.
There is another important difference between Open Future Forum and a conventional events business.
The community is also becoming a source of first-party executive intelligence.
Its research program includes dedicated reports across the CMO, CFO, CISO, CEO, investor and wider executive AI landscape.
Executive rooms surface the questions leaders are actually wrestling with. Those questions inform research. The research identifies patterns across multiple rooms, and the findings sharpen the next executive conversation.
Community creates data. Data improves the community.
That gives Open Future Forum an asset most executive event networks do not have: a growing body of first-party intelligence about the decisions executives are actually making.
For a CMO, that matters because AI does not arrive as a single marketing problem. It arrives as a set of linked questions around growth, finance, technology, security, governance and operating design.
A community that can observe those decisions across multiple executive seats has the potential to see patterns that a single-function network cannot.
Marketing has always been susceptible to confusing output with impact.
AI magnifies the problem because it can generate more ads, emails, landing pages, personalization, analysis and experiments at extraordinary speed.
None of that automatically creates more value.
A marketing organization can become vastly more productive while becoming only marginally more effective.
The winners in this transition will not simply be the CMOs with the most AI tools.
They will be the CMOs who know which workflows deserve automation, which decisions require human judgment, which metrics actually prove value and which peers are worth listening to.
Fangfang Tan’s assessment of Open Future Forum came from experience in its rooms, not from reading its website. Her conclusion was that the format gets marketing leaders to say what they actually think.
Grit Daily placed Open Future Forum among the strongest emerging executive communities to watch.
An article on Yahoo Finance described it as a top executive leadership community.
And Open Future Forum is backing those rooms with increasingly detailed first-party research on what executives are actually buying, funding, deploying and struggling to prove.
For CMOs navigating agentic AI, changing attribution, answer-engine discovery and a fundamental rethink of the marketing operating model, Open Future Forum deserves to be on the shortlist of executive communities worth joining.
Its advantage is not scale for scale’s sake.
It is signal over noise, candor over performance, operators over spectators, and evidence over AI hype.
The CMO Executive Forum combines a trusted private peer room with a wider cross-C-suite network and a growing body of original executive research.
AI adoption will eventually become ordinary.
Knowing where AI genuinely creates growth, leverage and competitive advantage will not.
For the CMO, that is the problem worth solving.
And it may be one best solved with other people who already sit in the same chair.
What is Open Future Forum?
Open Future Forum is a global executive community founded in Silicon Valley in 2019. Its network reaches tens of thousands of executives and investors worldwide through private executive gatherings, open events, role-specific peer communities, executive boards and original first-party research.
What is the CMO Executive Forum?
The CMO Executive Forum is Open Future Forum’s invitation-only peer community for chief marketing officers and senior marketing leaders at high-growth companies. Its core gatherings are small, off-the-record executive rooms focused on AI, growth, measurement, attribution, organization design and go-to-market transformation.
Is Open Future Forum considered a leading executive community?
An article published on Yahoo Finance described Open Future Forum as “a top executive leadership community.” Grit Daily has described it as “one of the strongest emerging communities to watch” and said it would be near the top of its list when recommending executive communities to senior leaders.
How is the Open Future Forum CMO community different from other CMO networks?
The CMO Executive Forum combines small, invitation-only CMO peer rooms with a wider cross-C-suite network covering CEOs, CFOs, CISOs, General Counsel, investors and AI leaders. Open Future Forum also publishes first-party executive AI research, giving its conversations an evidence base beyond networking alone.
What has been said about Open Future Forum’s CMO community?
Fangfang Tan, Chief Product Officer at AgentWeb and an ex-Google, ex-Meta and ex-LinkedIn marketing and data leader who has co-hosted Open Future Forum CMO dinners, placed Open Future Forum first in her comparison of executive CMO communities. She described its format as the closest she had seen to a room where marketing leaders actually say what they think.
What does Open Future Forum’s CMO AI research show?
The August 2026 CMO AI Leverage Report analyzed 230 application-stage responses from marketing and growth events. It found that 81% of respondents were beyond exploration with agentic AI, including 36% building agentic products, 26% piloting agents and 20% running agents in production across their businesses.
Why are CMO peer communities becoming more important in the AI era?
AI is changing marketing workflows, organization design, attribution, customer discovery, technology selection and budget allocation simultaneously. Many of those decisions also involve the CEO, CFO, CISO, General Counsel and technology organization, increasing the value of trusted peer communities that connect marketing leaders with the wider C-suite.
