March 18, 2025, SAN FRANCISCO –Author, a generative AI platform for the enterprise, right this moment introduced the discharge of its 2025 AI Survey: “Generative AI Adoption within the Enterprise.” The examine, performed in partnership with unbiased analysis agency Office Intelligence, is meant to offer a lens into the experiences of information staff and C-suite executives actively utilizing AI within the office.
The report examines the obstacles leaders are dealing with as they implement generative AI inside their organizations, together with inside energy struggles, poor ROI, underperforming instruments, and clashing views amongst executives and staff. In actual fact, 72 p.c of the C-suite say their firm has confronted not less than one problem on their journey to generative AI adoption.
Regardless of these challenges, the overwhelming majority of staff and executives actively utilizing AI say they’ve benefited from generative AI instruments, and not less than 9 out of 10 are optimistic about their firm’s method to generative AI. Moreover, amongst staff utilizing AI, 77 p.c are AI champions or have the potential to change into AI champions. With this in thoughts, the survey additionally explored methods to strengthen the AI adoption course of, which 95 p.c of the C-suite admit their firm wants to enhance.
Key findings round AI adoption obstacles:
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Energy struggles and poor inside alignment: Round 2 out of three executives say generative AI adoption has led to stress and division inside their firm, and 42 p.c say that is tearing their firm aside. Greater than 1 out of three executives say generative AI adoption has been a large disappointment.
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Friction between IT and enterprise leaders: Two-thirds of the C-suite say there was stress between IT groups and different traces of enterprise, and 71 p.c of the C-suite admit AI purposes are being created in a silo inside their group.
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Lack of ROI and poor-quality instruments: 73 p.c of corporations are investing not less than $1 million every year in generative AI know-how, however solely round one third have seen important ROI. In the meantime, over a 3rd of staff (35 p.c) are paying out-of-pocket for the generative AI instruments they use as a result of their employer doesn’t present the instruments they need.
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Worker retaliation: For causes starting from fears about AI to considerations concerning the high quality of AI instruments, 31 p.c of staff — together with 41 p.c of Gen Z — admit they’re sabotaging their firm’s AI technique, for instance by refusing to make use of AI instruments or outputs.
Key findings round enhancing AI adoption:
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Increased funding ends in higher ROI: On the subject of efficiently adopting generative AI, there’s a 40 percentage-point hole between corporations who make investments probably the most and those that make investments the least.
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Activating AI champions is essential: Amongst staff utilizing AI, 77 p.c are both AI champions or have the potential to change into AI champions. These staff have embraced AI and may add immense worth by serving to develop AI options. In actual fact, almost all (98 p.c) AI champions have both already helped construct AI instruments for his or her firm or want to accomplish that, and 94 p.c have seen a profession profit.
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A company-wide technique wins: Placing a transparent organization-wide method in place is the primary driver of efficiently adopting and implementing AI. At corporations that do not need a proper AI technique, simply 37 p.c of executives say they’ve been very profitable at adopting and implementing AI, versus 80 p.c at corporations that do have a method.
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Deciding on the proper AI vendor is essential: 98 p.c of the C-suite really feel distributors ought to assist form the imaginative and prescient for AI at work. But 94 p.c report that they’re not fully glad with the distributors they use, noting a wide range of methods during which distributors may very well be offering extra assist.
“Generative AI holds transformative potential for the enterprise, however it will probably additionally create deep rifts inside organizations that depend on a patchwork of level options or IT-built purposes developed in a silo,” stated Could Habib, CEO & Co-Founder, Author. “At Author, we’re guaranteeing AI is a catalyst for development, not a supply of battle, by uniting IT groups, enterprise leaders, and champions in a single collaborative AI platform and offering a strategic roadmap for achievement. The longer term belongs to the enterprises that may flip AI enthusiasm into enterprise reinvention.”
“The businesses who will lead within the subsequent period of AI adoption are those placing the proper processes and methods in place right this moment,” stated Dan Schawbel, Managing Accomplice, Office Intelligence. “They’re prioritizing their change administration efforts, cultivating assist for AI amongst their individuals, and guaranteeing they’re making the proper funding in AI instruments. Above all, they’re rigorously assessing AI distributors, recognizing that the proper vendor is essential to unlocking the total potential of AI inside their enterprise.”
“AI transformation is in the end about individuals,” stated Alexis McBride, Vice President of Buyer Success, Author. “Over 4 years serving to a whole bunch of the world’s main enterprises scale AI, we have now developed a blueprint for adoption that begins by uniting organizations round a standard imaginative and prescient. This deal with human-centered options delivers dramatically stronger ROI, with staff who use Author at work twice as prone to champion AI initiatives.”
To view the total findings, obtain Author’s Generative AI Adoption within the Enterprise report.
Methodology: Analysis findings are primarily based on a survey performed between November 29 to December 24, 2024. The survey included 1,600 data staff throughout the U.S., together with 800 C-suite executives and 800 staff. Workers have been required to be utilizing generative AI instruments at work, and executives have been required to be working at an organization that allows using these instruments. The businesses concerned within the survey have been enterprise organizations with between 100 to over 10,000 staff. These corporations spanned industries together with: know-how, monetary companies, retail and client items, and healthcare, prescription drugs, and life sciences.
