OhioX releases 2026 State of AI report: talent is new bottleneck

OhioX’s second annual State of AI Report revealed this week that organizations across Ohio have largely moved past questioning whether they should adopt artificial intelligence, and are now focused on how to effectively scale its implementation. 

The report highlights that approximately 79% of organizations now prioritize AI highly, a substantial jump from 48% just twelve months earlier. Additionally, 57% report that generative AI is already in production or fully integrated into their workflows. The data is based on insights from over 270 leaders gathered through executive roundtables held in Cincinnati, Columbus, and Cleveland, as well as the Ohio AI Summit as well as a statewide survey which added further data. The key insight is that AI adoption has shifted within the state - as it has nationally and across the world - from early exploration to practical application, and the primary challenges have evolved alongside those attitudes. 

OhioX notes that the proportion of organizations reporting no measurable ROI has decreased from 33% to 16% and conversely, 36% now report their ROI from implementing AI into their organizations as high or very high. However it also highlighted that the main barrier to further AI adoption is no longer just a lack of clear business cases, it has become limited technical expertise and broader AI literacy, hindering organizations’ ability to scale their initiatives. This aligns with findings from other industry reports including Deloitte’s 2026 enterprise AI survey from January this year, pointing to expanding AI adoption, with worker access to such tools increasing significantly last year and more companies moving from experiments to full-scale deployment. 

Despite these findings, the data points to a minority reimagining their entire business processes with AI, indicating a need for broader transformative strategies. IBM found that success hinges more on effective governance, data quality, workforce training, and scalable infrastructure than on individual models alone. They emphasized that the systems, controls, and foundational elements surrounding AI are crucial. 

"Ohio's advantage isn't trying to out-Silicon-Valley Silicon Valley," OhioX President and CEO Chris Berry said in the announcement, adding that the state could win by applying AI within industries where Ohio has established leadership. The organization’s report identified manufacturing, healthcare, and financial services as among the industries where Ohio's advantage and ability to improve with AI usage is most evident, with 36% of respondents citing these as key competitive edges. AI deployment is also rising, the report found, with nearly double the number of organizations deploying AI agents, from 26% to 47%. Still, only about 11% of leaders feel comfortable with autonomous decision-making within safety guardrails. 

Behind these advances, significant foundational challenges remain. Only 21% of organizations describe their data architecture as AI-ready according to the report, highlighting a sizable need for investment in that area. While talent remains a critical focus, the barriers detailed in a separate report released by the Cleveland Fed in March primarily relate to concerns over privacy, security, and the need for further evaluation of AI capabilities. These issues may be an impediment to AI deployment, even when organizations have the technical infrastructure and talent. 

To address the workforce gap in the Buckeye state, JobsOhio expanded its “AI Ready Ohio” program as well this week, aiming to provide AI education and training. Partnering with the Enterprise Technology Association, the initiative offers both in-person and virtual certifications to thousands of Ohioans and has already passed initial targets according to their announcement. This effort reflects a focus on readiness and responsible scaling, not just adoption, by attempting to build the necessary talent and infrastructure to harness AI effectively.