A new report from Metomic reveals that 68% of organizations have experienced data leaks related to employees using artificial intelligence tools. Despite a high level of confidence among security leaders—90% believe their security measures are effective—more than half reported regular malware and phishing incidents directly linked to improper AI implementation. The report, which surveyed over 400 Chief Information Security Officers and security leaders in the United States and the United Kingdom, indicates a significant disconnect between confidence and actual security threats. Only 23% of organizations have established comprehensive AI security policies, highlighting the urgent need for tailored security protocols as AI technologies become increasingly integrated into daily operations. Metomic’s co-founder, Ben van Enckevort, emphasizes that effective cybersecurity requires a cultural shift within organizations, focusing on human behavior and leadership commitment to tackle the unique risks posed by AI integration.
According to a recent report, sixty percent of business leaders express uncertainty regarding their organizations’ readiness for data and artificial intelligence. This lack of confidence poses a significant barrier to progress as AI adoption accelerates across various industries. The report, conducted by the Business Performance Innovation Network, Growth Officer Council, and EncompaaS, surveyed 170 global decision-makers. While 79 percent expect a competitive advantage from Generative AI within the next 18 months, only 13 percent feel “extremely confident” in their organization’s data and AI maturity. Key challenges identified include data accuracy and reliability, AI integration issues, and ethical concerns surrounding governance and trust. Sachin Agrawal, Managing Director for Zoho UK, emphasized the importance of high-quality data and intuitive tools for fostering innovation and maximizing AI benefits.
Small businesses report that artificial intelligence has not met their expectations, according to a recent survey conducted by American Express. The survey, which involved over 1,000 decision-makers from U.S.-based small businesses, revealed that while 56% of these businesses have implemented AI, more than two-thirds anticipated a greater impact on their operations than what they have experienced so far. Furthermore, about half of the respondents indicated that they believe their businesses adopted AI prematurely, with nearly all acknowledging that they are still learning how to effectively utilize the technology. Despite these concerns, those who have embraced AI have reported some benefits, including reduced error rates and increased operational efficiency. According to a January report from JPMorgan Chase, approximately half of small businesses plan to incorporate more AI applications in 2025, signifying a continued interest in technological advancements.
Why do we care?
These three reports collectively highlight a growing reality: AI adoption is outpacing organizational readiness—in data infrastructure, cybersecurity, and leadership maturity. While the hype continues around generative AI, the operational reality is risk-heavy and results-light for many organizations, particularly smaller ones.
Many SMBs now feel burned by AI promises. Pushing more AI solutions may backfire if the foundational issues—data quality, process fit, training—aren’t addressed first. MSPs that rush to resell AI tools without a maturity roadmap risk damaging trust.
MSPs should not assume AI enthusiasm equals readiness. There’s demand—but not for raw AI tools. The real opportunity is to deliver structure, guidance, and policy-driven implementation, especially in the realms of security and data integrity. Help clients crawl before they run.