AI Adoption in Enterprises: Surprising Findings on Challenges and Outcomes

In a compelling report by Nasuni Research, it has been revealed that a staggering 97% of enterprises are currently adopting or testing artificial intelligence (AI) agents. However, the report paints a concerning picture, indicating that 57% of these AI projects fail to achieve their intended goals. The findings are highlighted in the annual industry report titled "The State of Business File Data - Annual Report 2026," which explores the challenges organizations face in implementing AI effectively.

The Data Dilemma

The primary challenge noted in the report pertains to data management. Nearly all organizations surveyed (94%) struggle with managing unstructured data, which represents the majority of their data footprint. Despite this pressing issue, only 16% of the companies view unstructured data management as a vital investment for their IT strategy. Yet, a significant shift in attitude is expected, with 60% planning to enhance their investment in this area within the next 18 months. This shift reflects a growing awareness of how integral operational data is for driving successful AI outcomes.

Sam King, CEO of Nasuni, emphasized the importance of effective data management, stating, "Organizations are rapidly advancing in AI projects, but most are missing the mark on desired outcomes. Success in AI hinges on how effectively data is managed and prepared. Many organizations are still using outdated approaches to unstructured data, which limits their capacity to harness its full potential. Operational and proprietary data represent their greatest assets, provided they are accessible and ready for their teams and the AI that supports them. In an environment of skyrocketing hardware costs and increasing complexity, organizing data is the best decision to realize AI ambitions into tangible results."

Key Challenges Identified

The report identifies several critical obstacles that organizations must address to effectively scale AI and modernize their data infrastructure:

1. Scaling AI Into ROI Remains Tough
A staggering 90% of organizations report facing barriers that impede their ability to scale AI initiatives. The key concerns include data security (43%), integration challenges (36%), and a lack of trust in data (33%), contributing to merely 43% of projects fulfilling their objectives.

2. Data Gaps Exposed by AI
Nearly half (46%) of the organizations indicated that AI initiatives have unveiled significant issues regarding data quality and governance. Around 79% report inconsistent access and performance from files located in various locations, further complicating the efforts to scale AI effectively.

3. Lagging Implementation of AI Agents
Although almost all organizations are testing AI agents, only 18% have managed to implement them on a large scale, showcasing a stark disconnect between ambition and the reality of scaling these technologies.

4. Rising Hardware Costs
A substantial 62% of organizations anticipate that hardware costs will continue to rise, especially as key components such as DRAM surge in price, creating new challenges as enterprises scale AI and update their infrastructure.

The Need for Modernization

As firms undergo a rapid adoption of AI, the findings suggest that many have overestimated their readiness for more advanced use cases. Deficiencies in access, governance, and recovery of data are increasingly difficult to overlook. This issue spans diverse sectors. For instance, in the architecture, engineering, and construction (AEC) sector, 66% of companies cite data security as their principal concern regarding unstructured data. Manufacturers face heightened cybersecurity risks and longer recovery times, while organizations in energy, oil, and gas are divided on whether AI-driven decision-making should rest with top executives or the IT department, creating misalignment around objectives.

As AI systems and agent-based technologies evolve, these deficiencies are likely to widen. Therefore, it is imperative for organizations to modernize their databases to prepare for future trends.

For those interested in a deeper understanding of the report, the full document is available for download.

Methodology

Conducted among 1,000 decision-makers from companies in the United States, United Kingdom, France, and the DACH region (Germany, Austria, and Switzerland), the online survey took place in March 2026 through invitations sent via email.

About Nasuni

Nasuni is a leading platform for unstructured data geared towards enterprises where file data is essential for both teams and AI. The platform enhances the operational layer of files where the work happens, helping organizations manage, protect, and utilize their data to work smarter, reduce costs, and improve security.

Built on a patented architecture that combines cloud object storage with enterprise file services—including permissions, version control, and a global namespace—Nasuni offers high-performance file access, global data availability, and a singular source of scalable, governed, and AI-ready information across all major clouds. Trusted by over 1,300 companies worldwide, Nasuni assists organizations in modernizing their file infrastructure, strengthening data security, and supporting AI-driven operations. Additional information can be found at www.nasuni.com.