Generative AI adoption is 'creating deep rifts' at enterprises: Execs are battling each other over poor ROI, IT teams are worn out, and workers are sabotaging AI strategies
Execs are battling each other over poor ROI, underperforming tools, and inter-departmental clashes
While generative AI adoption continues at pace, new research suggests the technology is leading to intense power struggles, friction between IT and business leaders, and creating a rebellious workforce.
Analysis from Writer paints a worrying picture of the effects of AI adoption on the C-suite, with around two-thirds of US execs claiming it’s led to heightened tension and division at their company.
Nearly half (42%) of respondents went so far as to say it’s tearing their company apart.
The same proportion of C-suite leaders said there's been tension between IT teams and areas of the business over AI adoption, with seven-in-ten saying that applications are being created in a silo within their organization.
Similarly, fears about AI or annoyance over the quality of AI tools mean 31% of employees — including 41% of Gen Z — admit to sabotaging their company’s AI strategy, for example by refusing to use AI tools or outputs.
More than a third are paying out-of-pocket for the generative AI tools they use, because their employer doesn’t provide the tools they want.
"The future belongs to the enterprises that can turn AI enthusiasm into business reinvention," said May Habib, CEO and co-founder of Writer.
Sign up today and you will receive a free copy of our Future Focus 2026 report - the leading resource for IT decision-maker insight on priorities and investment areas in AI, security and more.
"Generative AI holds transformative potential, but it’s also creating deep rifts within companies that are relying on a patchwork of point solutions or developing internal apps in a silo."
Generative AI adoption costs are surging
The costs associated with the technology are also creating significant tension among enterprise leaders, the study found. Nearly three-quarters of companies are investing at least $1 million each year in generative AI, but only a third said they'd seen significant ROI.
More than one-third of executives said that generative AI has been a massive disappointment, while a whopping 94% said they’re not satisfied with the vendors they use, noting a variety of ways in which vendors could be providing more support.
Those that are happy with their AI adoption journey tend to be those which are spending more, with a 40 percentage-point gap between companies who invest the most and those who invest the least.
Implementing a clear organization-wide approach seems to make the most difference in terms of success, researchers found. At companies that don't have a formal AI strategy, just 37% of executives say they’ve been very successful at adopting and implementing AI, compared with 80% at companies that do have a strategy.
RELATED WEBINAR
"The companies who will lead in the next era of AI adoption are the ones putting the right processes and systems in place today,” said Dan Schawbel, managing partner at Workplace Intelligence, which conducted the survey.
"They’re prioritizing their change management efforts, cultivating support for AI among their people, and ensuring they’re making the right investment in AI tools. Above all, they’re carefully assessing AI vendors, recognizing that the right vendor is key to unlocking the full potential of AI within their business."
MORE FROM ITPRO
Emma Woollacott is a freelance journalist writing for publications including the BBC, Private Eye, Forbes, Raconteur and specialist technology titles.
-
Why software supply chain security is the next accountability challenge for channel partnersIndustry Insights Partners need to be able to confidently answer key client questions relating to supply chain security going forward...
-
Snowflake wants to help you cut AI costs by choosing the right model for the right taskNews New dynamic model routing capabilities aim to help customers box clever when it comes to their AI model choice
-
Poor business context is scuppering enterprise AI adoption – here’s why that mattersNews Research from Alteryx has found that more than half of organizations can't effectively operationalize the business knowledge AI needs
-
Manchester University: from AI initiators to AI integratorsThe institution where Alan Turing first addressed the topic of artificial intelligence is rolling out Microsoft 365 Copilot access to 65,000 staff
-
‘Real-time data remains the voice that every leader must hear’: This one engineering role could be the key to building a truly data-driven enterpriseNews AI has increased the expectation for fast, or even instant, decisions. Data streaming engineers could help leaders keep pace
-
This new technique could improve AI output accuracy by 80% – and tackle hallucinations once and for allNews Researchers believe the new method will improve accuracy and help reduce costs
-
Reports: UK could consider regulation amidst growing 'rogue AI' concernsNews New AI minister said regulation is on the table, but only if public safety is at risk from AI
-
UK firms are automating roles, but nowhere near ready to outright replace themNews ONS figures show that organizations are automating tasks, rather than entire jobs
-
Two-thirds of workers are so fed up with ‘AI slop’ that they ‘feel nostalgic for pre-AI work’News A survey has revealed that dealing with low-quality 'AI slop' is making jobs feel less meaningful and more repetitive
-
How AI certification can help employees climb the career ladderIn depth Research shows that validating AI knowledge and skills can help to boost job mobility and salaries