By: AK Infinite

Gartner found that 63% of marketing leaders plan to invest in generative AI over the next 24 months, even as many CMOs report budget constraints. The pressure executives feel is obvious: adopt as much leading-edge AI as possible today, or risk falling behind.

That thinking is well-intentioned, but can have substantial consequences. Systems that are implemented with speed that doesn’t correspond to appropriate diligence or scale deliver less value and introduce hidden costs. Instead of unlocking efficiency, poorly implemented AI quietly drains resources and muddies strategy. When rushed, these systems often fail to integrate seamlessly with existing workflows, creating confusion and inefficiency. Teams find themselves spending more time troubleshooting, and the promised gains in productivity are rarely realized.

“AI has incredible potential. Moreover, it has already fundamentally shifted virtually every productivity metric worth tracking. But it’s still not a silver bullet,” said Robin Emiliani, founder and CGO of Catalyst Marketing. “When leaders jump in without a plan, they burn through time, budget, and trust. The biggest hidden cost isn’t the software; it’s the distraction from real priorities, the self-training hours, the time spent attempting to integrate with existing workflows.”

Tool Overload, Shallow Results

Marketing teams are piling on tools faster than they can use them. According to the Marketing AI Institute, 70% of leaders admitted they had purchased more AI platforms than they actively deploy. It’s a familiar reality for most creative and media buying teams: three different writing tools, a new analytics add-on, and overlap with a CRM that covers half of the same functions.

The result is “shadow spend”—a budget quietly consumed by redundant licenses and unused dashboards.

“We’ve seen teams pay for three different AI writing tools while still outsourcing content creation,” Emiliani said. “That’s incredibly wasteful.”

The Training Deficit

Buying tools is easy. Teaching teams to use them well is harder—and most companies don’t bother. McKinsey’s 2024 Global Survey found that only 21% of employees were heavy users of generative AI, indicating that while adoption is rising, formal training and support may be lagging.

The outcome is rather predictable: inconsistent output, compliance risks, and a creeping sense of disillusionment. “Buying software without training is like buying a Formula 1 car without hiring a driver,” Emiliani said. “You’ve made an expensive purchase, but it’s a complex machine stuck in limbo without a professional at the wheel.”

The race to adopt has also created regulatory risk. Feeding raw customer data into external AI systems can trigger violations of GDPR in Europe or CCPA in California.

“Many teams don’t realize that a casual upload of sensitive data can create real exposure,” Emiliani said. “The fines and reputational damage far outweigh any efficiency gains.”

Photo Courtesy: Catalyst Marketing

Smarter Adoption at Slower Pace

The fix certainly isn’t avoiding AI, but rather adopting it with a more measured approach—and discipline. Catalyst recommends three non-negotiables:

• Audit your stack. Eliminate redundancy and double down on tools that integrate seamlessly. Focus on tools that integrate seamlessly with existing systems, ensuring smooth workflows and reducing the time spent on training and troubleshooting.
• Invest in training. Tools are only as effective as the teams using them. Providing comprehensive training ensures your team can fully leverage the capabilities of AI tools, adapt them to specific workflows, and adhere to compliance standards.
• Measure outcomes. Treat AI like any other line item—If it’s not driving meaningful outcomes, be prepared to pivot or eliminate it from your stack.

“AI can absolutely accelerate growth, and is at the heart of the marketing engines we develop at Catalyst,” Emiliani said. “But only if it’s grounded in strategy, training, and accountability—the same items we use to judge any enterprise-level purchase. Without those three things, it becomes a financial and time sink.”