March 18, 2025, SAN FRANCISCO –Author, a generative AI platform for the enterprise, right now introduced the discharge of its 2025 AI Survey: “Generative AI Adoption within the Enterprise.” The research, performed in partnership with unbiased analysis agency Office Intelligence, is meant to supply a lens into the experiences of data 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 workers. In truth, 72 % of the C-suite say their firm has confronted a minimum of 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 a minimum of 9 out of 10 are optimistic about their firm’s method to generative AI. Moreover, amongst workers utilizing AI, 77 % 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 % of the C-suite admit their firm wants to enhance.
Key findings round AI adoption obstacles:
-
Energy struggles and poor inside alignment: Round 2 out of three executives say generative AI adoption has led to pressure and division inside their firm, and 42 % say that is tearing their firm aside. Greater than 1 out of three executives say generative AI adoption has been an enormous disappointment.
-
Friction between IT and enterprise leaders: Two-thirds of the C-suite say there was pressure between IT groups and different traces of enterprise, and 71 % of the C-suite admit AI purposes are being created in a silo inside their group.
-
Lack of ROI and poor-quality instruments: 73 % of firms are investing a minimum of $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 workers (35 %) 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.
-
Worker retaliation: For causes starting from fears about AI to issues in regards to the high quality of AI instruments, 31 % of workers — together with 41 % 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:
-
Larger funding ends in higher ROI: With regards to efficiently adopting generative AI, there’s a 40 percentage-point hole between firms who make investments probably the most and people who make investments the least.
-
Activating AI champions is essential: Amongst workers utilizing AI, 77 % are both AI champions or have the potential to change into AI champions. These staff have embraced AI and might add immense worth by serving to develop AI options. In truth, practically all (98 %) AI champions have both already helped construct AI instruments for his or her firm or wish to achieve this, and 94 % have seen a profession profit.
-
A company-wide technique wins: Placing a transparent organization-wide method in place is the primary driver of efficiently adopting and implementing AI. At firms that don’t have a proper AI technique, simply 37 % of executives say they’ve been very profitable at adopting and implementing AI, versus 80 % at firms that do have a technique.
-
Deciding on the suitable AI vendor is vital: 98 % of the C-suite really feel distributors ought to assist form the imaginative and prescient for AI at work. But 94 % report that they’re not fully happy with the distributors they use, noting quite a lot of methods by which distributors may very well be offering extra assist.
“Generative AI holds transformative potential for the enterprise, however it might 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 long run 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 suitable processes and techniques in place right now,” stated Dan Schawbel, Managing Associate, Office Intelligence. “They’re prioritizing their change administration efforts, cultivating assist for AI amongst their folks, and guaranteeing they’re making the suitable funding in AI instruments. Above all, they’re fastidiously assessing AI distributors, recognizing that the suitable vendor is essential to unlocking the total potential of AI inside their enterprise.”
“AI transformation is in the end about folks,” stated Alexis McBride, Vice President of Buyer Success, Author. “Over 4 years serving to a whole lot of the world’s main enterprises scale AI, we’ve 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 workers who use Author at work twice as more likely to champion AI initiatives.”
To view the total findings, obtain Author’s Generative AI Adoption within the Enterprise report.
Methodology: Analysis findings are based mostly 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 workers. 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 workers. These firms spanned industries together with: know-how, monetary providers, retail and shopper items, and healthcare, prescribed drugs, and life sciences.
