Businesses are moving beyond AI hype and asking tougher questions about its ROI. Here’s what we see as the next phase of AI adoption for marketers, brands and business leaders.
For the past several years, the conversation around AI adoption in business has been impossible to ignore. Headlines suggested artificial intelligence would transform entire industries almost immediately. Businesses felt pressure to invest quickly or risk falling behind.
But with every rush to adopt “the new thing” in business there comes a reckoning of cost versus benefit. That time for AI has arrived with many companies facing board-level pressure to demonstrate results.
In other words, companies are no longer asking if they should use AI. They're asking a much more vital question: Is our AI investment creating real business value?
History shows businesses rarely adopt disruptive technology in a straight line. The internet promised to reinvent commerce overnight. Cloud computing was expected to modernize every organization immediately. Social media became a "must-have" marketing channel long before many companies understood how to measure its impact.
Each innovation followed a similar pattern:
• Excitement and optimism
• Rapid investment
• Inflated expectations
• Disappointment when results didn't materialize quickly
• Smarter, more strategic adoption
Artificial intelligence is on a similar path. The organizations that ultimately gain the greatest competitive advantage won't necessarily be the earliest adopters. They'll be the ones that learn where AI creates meaningful value.
Early AI adoption was largely driven by fear of missing out. Now, executives and boards are looking for a return on what can be an expensive investment. While many organizations have spent heavily on AI tools, surprisingly few have established ways to measure whether that money is improving productivity, customer experience or profitability. Several high-profile companies have recently discovered that implementing AI successfully is more complicated than just deploying new software.
Starbucks discontinued an AI-powered inventory system after employees found themselves manually recounting inventory because the technology frequently misidentified products and introduced additional work.
Uber rolled out AI coding assistants across thousands of engineers, only to exhaust its annual AI budget within four months. Despite strong usage metrics, leadership acknowledged they struggled to connect those investments directly to improved customer outcomes.
Klarna made perhaps the most public reversal. After replacing hundreds of customer service representatives with AI, the company shifted back toward a hybrid human-and-AI approach when customer satisfaction declined. CEO Sebastian Siemiatkowski later admitted the company had prioritized efficiency over service quality.
All these examples point to an essential truth: technology succeeds when applied thoughtfully, not universally.
Ironically, as AI has become more capable, it's highlighted the growing importance of uniquely human skills. AI excels at structured, repetitive, and rules-based tasks. It can summarize information, generate first drafts, analyze patterns, and automate routine processes with remarkable speed.
But strategy isn't repetitive. Brand building isn't formulaic. Creative problem-solving isn't predictable. The work that creates lasting competitive advantage still depends on judgment, experience, context, empathy and original thinking.
Emerging data from research conducted by Harvard Business School reinforces this distinction. After the public launch of ChatGPT in November 2022, job postings for occupations that involve lots of structured and repetitive tasks, likely replaceable by generative AI, decreased by 13%. Meanwhile, employer demand for jobs that require more analytical, technical, or creative work—potentially enhanced by artificial intelligence—grew 20%.
The organizations that outperform competitors will amplify, rather than replace, creative thinking by removing low-value work from talented people.
Those gaining the most from AI aren't asking, "Where can we use AI?" They're asking more detailed questions about where AI can genuinely improve work and what are the associated costs of implementation on key business metrics.
Sometimes the answer is automating repetitive internal tasks. Sometimes it's accelerating research or content development. Sometimes it's helping teams spend less time on administrative work and more time solving meaningful business problems.
And sometimes the best answer is not using AI at all.
At Interrupt, we've never viewed AI as a replacement for strategy, creativity or human insight. We see it as another tool. A powerful one for sure, but still a tool.
Our clients don't hire us to generate more content faster. They need sharp branding backed by experience and data, clearer messaging and smart marketing that creates measurable business results.
AI can certainly help us work more efficiently behind the scenes. But understanding contractor behavior, uncovering market opportunities, building differentiated brands and developing ideas that resonate with real people still require something no algorithm can replicate: human judgment.
The AI hype cycle is cooling. And as you wrestle with how best to integrate AI into your operations, it’s important to focus on a vital question:
Will this change help generate better results?
Because the bottom line will always be the bottom line, no matter what technology is contributing.
Struggling to prove your marketing ROI when you sell through distributors and dealers? You're not alone. We break down a modern, pragmatic framework to help you finally connect your marketing efforts to real revenue, turning your team from a "cost center" into a proven "growth engine."
As part of our celebration of Women in Construction Week and Women's Month, we sit down with Bethany Sanker, Interrupt’s director of client services, to learn more about how her experiences as a female leader have shaped her career. She shares how she handled the speed bumps, and her perspective on the benefits of recruiting more diverse teams in the building and construction industries, in this Q&A.
Are trade shows still earning their spot in the marketing budget? In the building materials industry it’s a no brainer, argues Strategic Account Manager Kyle Rhine. He explains that manufacturers still investing confidently aren’t doing so out of habit. They’re doing it because the channel continues to deliver— but only when it’s treated with the same rigor as the rest of the marketing mix. He explains how.