AI investments chase easy money, but end customers want more. Martech Futurist | July 10, 2026

The AI-in-marketing story spent two years as a forecast. They have started producing tangible takeaways, and they point away from where most of the money has gone. Gartner found customers are three times more likely to resolve a service issue with a third-party tool like ChatGPT than with a company's own chatbot, and that the function spending the most on AI is showing the least return on it. Forrester found European marketers deploying AI into the safest, most measurable corners of the operation while personalization, the payoff everyone cites, barely registers as a benefit. Harvard Business Review documented AI settling in as an intermediary between the customer and the choice. The pattern underneath all of it is one thing. Investment is pooling where AI is cheap to run and easy to count, and the customer is somewhere else. Capability has stopped being the differentiator. What separates the leaders now is whether the operating model routes that capability toward the customer or leaves it optimizing the back office.

Three themes emerge

1. The returns gap is now measurable, and it reads as a routing problem. Service and support leaders put a median of 12% of their 2025 budget into AI, more than any of the ten business functions Gartner assessed. Only 24% of them showed positive financial returns. In the same window, customer use of third-party GenAI during service interactions nearly doubled, while use of company chatbots held flat since 2022. The money reached the tool. The outcome went to a channel the brand does not own. Read through the AI capability framework, this is what happens when investment concentrates in the lightest mechanisms and the easiest pillars to stand up, and the orchestration and trust conditions that customer-facing action actually requires stay underbuilt.

2. Marketers are getting good at the least transformational uses. Half of European B2B marketing organizations now run AI in production for advertising and media buying. Only 8% name improved personalization as the greatest benefit they have gotten from AI. The uses that are easiest to govern and measure turn out to be the ones that create the least separation from competitors. Efficiency improves how the work gets executed. It leaves what the customer encounters untouched unless the operating model deliberately connects the two, and in most organizations those two layers still run on separate wiring.

3. The CMO role is reinventing around whether AI reaches the customer. Marketing executives who sit on the leadership team or report to the CEO are now found at 52% of Fortune 500 companies, down from 58% a year ago. The role is being rebuilt around commercial accountability, and AI is the operational spine of that rebuild. HBR's field cases show why the stakes are rising: as AI mediates how customers research, evaluate, and select suppliers, the advantage shifts to whoever manages those AI-shaped interactions. The CMOs holding their seat are the ones who can show AI producing customer outcomes the CFO can trace, rather than activity the dashboard can display.

Featured Insights

Gartner — Gartner Newsroom | July 8, 2026

A survey of 3,566 B2B and B2C customers, run in February and March 2026, found customers roughly three times more likely to use third-party GenAI than company-provided chatbots to resolve service issues. Third-party use during service interactions nearly doubled over the past year. Company chatbot use has not moved since 2022. A companion survey of 1,303 senior leaders puts the cost of that gap in plain terms: service and support committed the highest median AI budget share of any function, and fewer than a quarter saw positive returns. Gartner's Eric Keller attributes the shortfall to misalignment with what customers expect, since most chatbots still answer questions while customers increasingly want AI to complete a task. Among GenAI users, 58% have used it to act on their behalf, rising to 74% in B2B. The metric to watch is not chatbot deflection rate. It is whether your customers reach for your AI or someone else's when they have a problem, because every interaction that resolves outside your channel is a relationship you no longer instrument.

Forrester — Forrester Blog | July 9, 2026

Christina Schmitt reports that AI has moved past experimentation and into everyday marketing operations across Europe, with half of B2B organizations running it in production for advertising and media buying. The adoption is real. The direction is the concern. Marketers have concentrated on the use cases that are easiest to govern, measure, and justify, and those tend to be the ones that improve how marketing operates rather than how customers experience the brand. The evidence sits in a single figure: only 8% of European marketers point to improved personalization as their largest AI gain. Schmitt frames the risk as stopping at optimization, where returns eventually flatten, while competitors who push AI closer to the customer build differentiation that is hard to copy. Audit your AI use cases against a blunt question: which of these would a customer notice if it disappeared? The ones that pass are your differentiation program. The ones that do not are your efficiency program, and you are probably overweight on the second.

Forrester — Forrester Blog | July 7, 2026

Ian Bruce's third annual analysis of Fortune 500 CMOs reads the decline narrative more precisely than the headlines do. Representation fell for a third straight year, with marketing executives on the leadership team or reporting to the CEO now at 52%, down from 58%. Underneath that number is reinvention. The CMOs gaining ground have repositioned marketing around growth, customer engagement, and commercial accountability, with data and AI as the operating backbone. The ones under pressure are defending brand and campaign models without a measurable line to revenue. Budgets get decided by people who can act on the answer, which puts the burden on marketing leaders to translate AI activity into terms the CEO and CFO recognize before 2027 planning locks. Bring one number to your next executive review that connects an AI investment to a commercial outcome. If you cannot construct that number yet, that gap is your real 2027 roadmap, ahead of any new tool.

Harvard Business Review — HBR | July 6, 2026

Graham Kenny and Ganna Pogrebna follow three small and midsize firms, a manufacturer, a boutique hotel, and a B2B software company, as AI reshapes how their customers research and decide. A manufacturer screened AI-generated inquiries before committing engineering time to quotes. A hotel started monitoring how AI tools described it and rewrote public content to correct and sharpen the description. A software company traded periodic reviews for continuous monitoring of feedback and AI-generated market perception. The common lesson scales cleanly to the enterprise: AI is now a new intermediary in the customer relationship, and advantage flows to the firms that listen continuously and adapt, rather than the firms that simply spend the most. Someone on your team should own how AI systems describe your brand, the same way someone owns how it appears in search. That role does not exist on most org charts yet, and it is becoming a condition for showing up in the customer's consideration set.

Tying it together

The efficiency ceiling this research keeps hitting is a message I hear from operators constantly. It reminds me of what Keri McGhee, Chief Marketing Officer at Attentive, said when I interviewed her on The Agile Brand podcast: "AI at this point is so much more than just an efficiency game. It can be a complete game changer to your programs as a marketer if you use it as a long-term revenue growth engine, not just to do what you do more efficiently, that's not where people are winning."

The Forrester CMO data describes a job changing shape, and the people living it describe the same shift in their own language. It reminds me of what Kathleen Ulrich of Brillio told me on the podcast: "We're no longer managing functions; we're almost architects of systems. I see my role as shifting to architecting systems rather than managing a function." The reinvention Bruce measures from the outside is the daily reality of leaders rebuilding marketing as a system that has to route AI toward the customer, not just toward the calendar.