Where CMOs Place Their AI Bets is Becoming a Leading Indicator for Tech Investors

While some industries continue to gain traction with AI adoption, marketing has already built the technology into its daily operations. 

A June 2026 report from Forrester found that nine in ten marketing agencies in the U.S. already use GenAI for a range of marketing execution tasks, and about half have moved on to agentic AI. 

So far, that adoption has clustered around competitive analysis and performance reporting, however, where 74% of agencies use GenAI to summarize documents, and 70% apply it to research and competitive intelligence. 

AI-enabled SEO are also seeing massive budget reallocation, with some companies reporting a 98% increase in AI SEO investments aimed at zero click search visibility on Google (GOOG) and other search engines.

Adoption numbers only tell part of the story, though. In 2026, the more pressing question for investors is whether AI is actually creating measurable value as a marketing execution tool instead of a simple productivity add-on. 

One way to answer that is to look at what marketing leaders are building into their tech stacks. Because CMOs often oversee advertising and revenue generation simultaneously, the technologies they deploy can serve as an early indicator of broader enterprise investment trends. 

Gartner research shows these executives are already allocating 15.3% of their budgets to AI, putting significant capital behind the bet. 

In this sense, the AI companies that outlast this cycle will most likely be the ones that win over CMOs by proving they enhance business performance, not necessarily the flashiest demos, and the AI tech stack being built today increasingly foreshadows where investors may find the next wave of enterprise growth.

Three trends stand out for where that investment momentum is heading in the second half of 2026, based on conversations with five of the top marketing technology leaders of 2026 shaping that shift from within. 

Vertical AI is displacing general-purpose tools  

Marketing exists to raise an organization’s visibility with a target audience in service of a business goal, whether that’s customer support acquisition or something else entirely. 

General-purpose chatbots remain valuable, however enterprises increasingly want AI trained on their industry's terminology and data models.

That specialized platforms are outperforming one-size-fits-all tools holds whether the sector is life sciences or legal services. 

The market data backs this up. The latest market research shows that the global vertical AI market size is already valued at $13 billion in 2026 and set to reach $74.5 billion by 2033, driven by demand from organizations that increasingly prioritize high-resolution visual content to enhance customer engagement and user experience throughout digital platforms. 

Unlike general-purpose AI, which is trained on broad, cross-domain data and requires extensive customization before it understands the workflows of a particular sector, vertical AI arrives pre-trained on the data types and operational patterns that define how that industry actually works. 

AI companies that demonstrate ongoing refinement within a domain is a positive signal, and Prezent is a useful example of this shift. The company's CEO Rajat Mishra got ahead of the demand for vertical AI solutions early on.

Today, via Prezent Vivo, the company offers a highly specialized solution for the life sciences and biopharma sector, and works with 45 of the top 50 biopharma companies. Not only is the AI trained to understand the language, terms and trends of the industry, but every feature on the platform caters to a tangible business deliverable. 

Dimitri Akhrin, Founder and President of merchant services partner BAMS, sees the advancement of technology as overdue. “The tools were the equivalent of using Windows 95,” he stressed in a recent interview with StartupBeat. “Sadly, many of those systems still exist today.” 

Toronto-based Provision offers another example. The company announced its purpose-built Scope Agent on August 4th, which, when benchmarked against Claude, proved to be more accurate in scope of work for construction than the general-purpose tool from Anthropic.

CMOs, in short, are no longer interested in broad tools that require months of customization. Solutions built to fit a workflow from day one are those capturing enterprise customers long-term, and the scene has been worth watching for investors weighing which AI vendors have staying power. 

That same logic is playing out across other regulated sectors. Altorney is applying it to law firms, while QuickBlox's white-label telehealth platform is doing the same for healthcare providers. 

Marketing leaders become business integrators and visibility tech gains traction 

Business planning has also changed shape across industries. Strategy used to run on an annual cycle, set once and rarely revisited, but that model simply doesn’t hold anymore. A competitive edge that once lasted years can disappear in a quarter, and a single breakthrough can shape a market overnight.  

As organizations adjust to this pace and recognize that strategic planning needs to become more continuous, CMOs are uniquely positioned to connect the dots and get ahead of meaningful shifts and external headwinds. 

Here, marketing leaders succeeding are effectively becoming business integrators, using real-time visibility to link customers, partners and the broader market. 

RaghuRam Samudrala, Head of Growth Marketing at Sonata Software, explained that sustainable competitive advantage won’t belong to the companies with the most tools in an AI-enabled world. “It will belong to the companies that integrate customer insight, commercial judgment, delivery expertise and AI faster than everyone else.”

Marketing, in his view, has become one of the functions making that integration possible. “If you’re leading marketing today, you’re doing far more than running campaigns,” he said, “you’re helping the business sense change, make better decisions and move with greater confidence.”

That shift is pushing demand toward tech stacks built for real-time visibility across functions. Investors should expect to see off-the-shelf platforms paired with custom integrations increasingly often. 

Eugenia Laguna, Head of Marketing and Comms at Making Sense, for one, works on tailored software for mid-market businesses and private equity portfolios; her team’s work with pet supply company Vetsource, for instance, centered on a CRM built to streamline the e-commerce sales pipeline. 

Because integration matters so much, consolidation throughout the industry should also be expected. Brandon Tobman, CEO of Get Covered, pointed to this following the company’s acquisition of Revyse. “By combining forces, we’re building the most comprehensive compliance infrastructure in multifamily real estate,” he said, “one that already powers insurance compliance for more than 3 million rental units nationwide.” 

Investors can also watch out for tools that support rapid customization and make sense of internal and external data insights, with examples including searchable repositories of customer outcomes and reference points that let marketing teams assemble a personalized sales kit quickly, alongside real-time sentiment analysis and brand tracking that allows leaders to respond to signals as they happen. 

And this is already happening, no longer hypothetical. Chromatics, an AI infrastructure platform for brand operations, is one company building in this space.  

Voice AI is emerging as another lever. Upfirst’s Chief Marketing Officer Alfredo Salkeld estimates the cost of a single unanswered call at roughly $1,900 for a roofing company and around $620 for a boutique legal practice; for dog groomers, more than 30% of inbound calls lead directly to booked businesses. 

The revenue opportunity here, too, is becoming hard to ignore. 

Retail, branding and advertising emerge as key use cases 

Elsewhere this year, CMOs have also shifted spend towards paid media, which now accounts for 31.4% of budgets, with investments increasingly focused on digital channels and customer acquisition.

Digital channels continue to offer an efficient way to reach target audiences directly with personalized content, but the landscape is crowded and conversion isn’t guaranteed. Brands compete for attention across a fragmented set of channels, from search to social, which is pushing demand for adtech solutions accordingly. 

ADvendio, who's Head of Marketing is Robert Tubridy, points to omnichannel campaigns paired with agentic AI automation as one way decision makers are trying to get better returns on ad spend. 

Digital isn’t the only battleground, either. AI tools aimed at boosting branding and visibility are also gaining traction heading into the second half of 2026. Effie AI, led by CEO Ruslan Okhrimovych, brings AI-driven insights to consumer goods brands looking to sharpen retail execution, and counts Coca-Cola and Unilever among its clients. 

Such is a real signal of investment potential in tech built to support brand and advertising outcomes. Retail execution, in particular, is an operational pain point rather than a marketing nice to have, so adoption by brands with the resources to solve it internally suggest the problem is harder than in-house teams can crack alone. 

A new era for AI-led business growth 

According to Ness Digital Engineering, “not long ago, simply adopting AI created a competitive advantage. That window is closing rapidly.” 

The first wave of AI adoption in marketing was about content generation and one-off tasks. But we’re just scratching the surface, and what comes next is much bigger. 

The future looks like CMOs and enterprises continuing to leverage AI to unlock growth, through faster personalization, sharper market insight and better business intelligence.