Recent Nasuni Study Reveals 97% of Companies Use AI Agents, Yet Success Remains Elusive

Understanding the Challenges in AI Adoption

In today’s fast-paced digital landscape, the integration of artificial intelligence (AI) into business operations has become increasingly common. A recent report by Nasuni highlights that a staggering 97% of companies are exploring the use of AI agents. However, the report also reveals a troubling trend: over half of these implementations fall short of their intended goals.

The Reality of AI Implementation

According to the findings from Nasuni's annual research, a significant gap exists between AI adoption and the success of related projects. Despite the high adoption rates, it is noted that 57% of AI initiatives fail to achieve their originally set objectives. This shortfall is attributed primarily to challenges in data management.

An overwhelming 94% of businesses find managing unstructured data to be a major hurdle, essentially indicating that the vast majority of companies struggle with the very data sets that are critical for effective AI deployment. Currently, only 16% recognize unstructured data management as a crucial IT investment, though this figure is expected to rise as 60% of companies plan to increase their investment in this area within the next 18 months.

Key Insights from the Report

Sam King, the CEO of Nasuni, commented on the findings, emphasizing that successful AI deployment relies heavily on robust data management practices. "While businesses are eager to dive into AI projects, many are led astray by outdated data management strategies that limit their capability to extract meaningful insights. The proprietary and operational data are their best assets, provided they are readily accessible and prepared for use by both teams and AI systems."

The report identifies several pressing challenges that organizations face in advancing their AI capabilities and modernizing their data infrastructure:
1. Return on Investment Struggles: 90% of companies report obstacles to expanding their AI initiatives, mainly due to security issues (43%), integration challenges (36%), and a lack of trust in data integrity (33%).
2. Data Quality Issues: Nearly half (46%) of firms state that their AI initiatives have surfaced irrelevant data quality and governance problems, with 79% citing inconsistency in file access and performance across various sites, hindering scaling efforts.
3. Speed of Adoption: The rapid growth of agent-based AI is outstripping organizational readiness, with only 18% of firms deploying AI agents at scale, exposing a disconnect between ambitions and actual implementation.
4. Rising Hardware Costs: Increased hardware costs, attributed to components like DRAM, are pressuring IT budgets, creating new challenges as companies look to enhance their AI capabilities and modernize infrastructure. As AI adoption accelerates, the rising costs can intensify pressure on necessary infrastructures needed to support larger data volumes.

Cross-Industry Implications

These challenges are not confined to specific sectors; they resonate across industries. For instance, 66% of companies in the Architecture, Engineering, and Construction (AEC) sector cite data security as their top concern regarding unstructured data. Manufacturers grapple with heightened cybersecurity risks and prolonged recovery timelines, while organizations in the energy and oil industries remain divided on whether AI decision-making should be managed by general management or IT, resulting in a disconnect between goals.

As AI technologies and autonomous systems continue to evolve, these discrepancies are likely to widen. Therefore, it is vital for companies to prioritize modernizing data infrastructures to be adequately equipped for future advancements.

To download the full report, click here.

Research Methodology

This survey was conducted among 1,000 purchasing decision-makers from organizations with over 1,000 employees across the United States, United Kingdom, France, and the DACH region (Germany, Austria, Switzerland). Online interviews were conducted by Sapio Research in March 2026 using email invitations and online surveys.

About Nasuni

Nasuni stands as a pivotal player in the realm of unstructured data for enterprises where file data is crucial for operational efficiency and AI utilization. Their patented architecture seamlessly integrates cloud object storage with corporate file services, including permissions, versioning, and a global namespace. With a focus on high-performance file access and a scalable, governable source of truth, Nasuni aids organizations in modernizing file infrastructure, enhancing data security, and facilitating AI-driven operations.

With over 1,300 global clients placing their trust in Nasuni, the platform strives to empower organizations to optimize their data management processes and achieve tangible results from their AI strategies. For more detailed information, visit www.nasuni.com.