Skip to content
‹ Back to IndustriesMarketing Tech

80% of CMOs already use genAI, but budgets and contracts are still tightening

BCG found around 80% of CMOs have deployed genAI for efficiency. Marketing contracts are under economic pressure. For marketing ops and CIO teams, the fight is shifting to governance, data readiness, and contract terms that prove ROI fast.

This story was produced through MarketScale. See how Marketing Tech teams put it to work with AI Writing.

By MarketScale Newsroom · · The Cmo SurveyDeloitteBoston Consulting GroupForrester
Share
Listen to the audio brief

Key facts, context, and what it means.

AUDIO
0:00—

Key takeaways

01

Forrester predicted “experience with generative AI” would appear in 20% of new CMO job descriptions, part of a combined signal that genAI is now table stakes; separately, budget pressure on marketing contracts means vendors should expect performance clauses, shorter ramps and tighter definitions of “use.”

02

With The CMO Survey reporting marketing contracts under economic pressure, expect renewals to hinge on measurable outcomes like cycle time, throughput, and controlled uplift, not just content volume.

Free workspace

Turn your Marketing Tech expertise into content.

Record interviews, organize footage, and write with AI on a free trial of the MarketScale platform for qualifying companies. No demo required, no credit card.

Try it Free

Around 80% of CMOs say they’ve already deployed generative AI to speed up internal marketing work, especially content creation and social media. That’s the easy part. The harder part is showing enough measurable business impact to keep budgets and vendor contracts intact while economic pressure pushes marketing leaders back toward “proven” plays.

That tension shows up across three lenses: The CMO Survey’s March 2026 analysis says marketing contracts are under economic pressure despite growing value and AI gains; Deloitte’s 2026 CMO Survey write-up notes increased C-suite pressure and says some CMOs are returning to established strategies; and BCG’s 2024 CMO survey with the Association of National Advertisers (ANA) says the most promising strategic GenAI areas, including personalization, customer insight generation, and predictive analytics, will take longer to develop and deploy at scale.

GenAI is widespread, but mostly where it saves time, not where it changes revenue math

BCG reported in June 2024 that “around 80%” of surveyed CMOs had deployed GenAI, primarily to make internal processes faster, more productive, and less labor intensive. In BCG’s framing, these are the quick wins: draft copy, images, and social engagement workflows that can compress campaign timelines.

BCG also drew a line between what’s already working and what’s still stuck in the queue. The more strategic applications, personalization, customer insight generation, and predictive analytics, were described as taking longer to develop and deploy at scale. For operators, that distinction matters because it predicts where scrutiny will land first: on any project that depends on data unification, identity resolution, and model governance across channels.

Budget pressure is showing up in contract terms and proof standards

The CMO Survey’s March 31, 2026 blog post, an analysis of the survey’s 35th edition results, says marketing contracts are under economic pressure despite growing value and AI gains.

Deloitte’s 2026 CMO Survey page shares highlights from the 35th edition of The CMO Survey and notes that the survey is conducted by Duke University’s Fuqua School of Business professor Christine Moorman. The page says some CMOs are returning to established strategies due to increased C-suite pressure. It also says marketers cite “the right talent” over “the right technology” as the most important driver of revenue growth.

Read together, the message for enterprise buyers is that GenAI’s next phase will be negotiated. Expect more performance clauses, shorter ramp periods, and tighter definitions of what counts as “use” in martech contracts. The vendors who win will be the ones who can attach their product to cycle time, throughput, and controlled uplift, not just content volume.

Integration, not another cloud, is where roadmaps are being rewritten

Forrester’s “Predictions 2024” post said CMOs would prioritize practicality in 2024 and highlighted martech integrations as part of that shift. Forrester predicted that “half of CMOs” would choose ecosystem integration over “marketing cloud dreams.”

Forrester predicted that “experience with generative AI” would show up in 20% of new CMO job descriptions.

Where this lands for marketing ops, CIOs, and procurement teams

The combined signal from Duke/Deloitte, BCG, and Forrester is that GenAI is already a table-stakes capability inside marketing teams, but the spend is being redirected toward whatever makes those deployments reliable and defensible: data, integration, and controls. For organizations with fragmented customer data, heavy agency dependence, or complex brand governance, that’s where timelines can slip and where contract pressure will hit first.

  • Rewrite genAI business cases around operational outcomes: BCG reports that around 80% of CMOs have already deployed GenAI to make internal processes faster, more productive, and less labor intensive.
  • Audit talent alongside tech: Deloitte’s 2026 CMO Survey page says marketers cite “the right talent” over “the right technology” as the most important driver of revenue growth.
  • Plan for longer timelines in strategic use cases: BCG says the most promising strategic GenAI areas, including personalization, customer insight generation, and predictive analytics, will take longer to develop and deploy at scale.
  • Account for tougher renewals: The CMO Survey’s March 31, 2026 analysis says marketing contracts are under economic pressure despite growing value and AI gains.

Featured companies

Your experts belong here

Every story in MarketScale Marketing Tech starts with a company putting its practitioners, product marketers, and RevOps leads on the record. Buyers are already reading this topic. The only question is whose experts they find.

Your buyers live in search and AI answers, so published expert content is the channel that compounds instead of expiring.

Book DemoSee how it works15 minutes, straight to a calendar.

About the author

MarketScale Newsroom
MarketScale NewsroomEditorial Team, MarketScale

The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

B2B Weekly

The week in Marketing Tech, and sixteen other industries, every Monday.

Ten stories, one-line takes, five minutes. Free.

Marketing Tech: are you visible to AI?

Before they reach out, Marketing Tech buyers ask AI engines which vendors to trust. Explore how your experts, customers, and partners can become useful content for buyers and AI search.

Free Trial

You just read one Marketing Tech expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your practitioners, product marketers, and RevOps leads into the articles, video, and social content Marketing Tech buyers are searching for. Start a free trial and see it with your own people. For qualifying companies, no credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What your free trial includes

Hands-on access to the MarketScale platform
Media requests to your crowd, remote recording, AI writing tools
No demo required. No credit card.
For qualifying companies. Company confirmation required.

More Marketing Tech Insights

Aviio Launches a Decision Engine for Paid Media, With $5.37M in Ad Spend Already Run Through It

Recommendations use deterministic statistical methods rather than language models and can be defended to CFOs

  • 01Aviio ranks ad decisions across four platforms with diagnosis, recommendation, reasoning, and projected impact for each action
  • 02$5.37 million in ad spend analyzed through the engine at launch
  • 03Recommendations use deterministic statistical methods rather than language models, making them defensible to CFOs

Oct 21, 2026

Google's AI Overviews roughly tripled on brand-name searches in September

Google's AI Overviews roughly tripled on brand-name searches in September

AI Overviews on branded Google searches roughly tripled in September 2026. Teams that track only rankings and clicks miss it, and a 13-day Google spam update that ended October 8 makes September ranking data harder to read.

  • 01With AI Overviews roughly tripling on branded queries in September, the brand-name results page is now partly written by Google from other people's websites.
  • 02Ranking first for a company name still wins the top link, but reviews, third-party coverage and consistent facts across the web shape the summary above it.
  • 03Google's September 2026 spam update ran about 13 days and 16 hours, ending October 8, creating overlapping ranking changes.

Oct 16, 2026

Is ChatGPT leaving your brand off the shortlist? LLM Pulse founder Esteve Castells on how to win at GEO

Is ChatGPT leaving your brand off the shortlist? LLM Pulse founder Esteve Castells on how to win at GEO

Generative engine optimization (GEO) is the work of getting a brand cited and recommended in AI answers from ChatGPT, Gemini and Google AI Overviews. In a MarketScale webinar, LLM Pulse founder Esteve Castells said GEO builds on SEO but rewards citations over backlinks, decision-focused content over generic explainers, and a presence on the third-party sites that make up 96% of what AI reads. He recommends setting a prompt-tracking baseline, tracking about 20% brand and 80% non-brand prompts, and repeating experiments that earn citations.

  • 01GEO uses the same ingredients as SEO, but citations from sources that talk about your brand count at least as much as backlinks.
  • 02LLM Pulse data shows 96% of what AI reads comes from third-party sources such as LinkedIn, YouTube, review sites and competitor pages.
  • 03Track about 20% brand and 80% non-brand prompts, and create content for the questions customers already ask your support team.

Oct 16, 2026

Explore More Marketing Tech Insights

Read more expert perspectives from across Marketing Tech.

Browse Marketing Tech Hub

About the Expert

MarketScale Newsroom
MarketScale Newsroom

Editorial Team

MarketScale

The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Marketing Tech and beyond.

Book a Demo

Or call us. No forms required. We pick up. 214-945-2512