REPORT | Arm AI Readiness Index | CHAPTER 7
Building an AI-Ready Culture
27 Mar, 2025.
Mark Hinkle, CEO and Founder of Peripety Labs, Founding Publisher The Artificially Intelligent Enterprise
AI adoption in companies is accelerating, but employees on the ground are struggling to keep up. There’s often a palpable gap between the rapid pace of AI advances and what employees feel prepared to handle.
The truth is that many workers feel overwhelmed by constantly evolving tools and lack the training to use them effectively. Nearly seven in ten employees never use AI at all in their work, and only about one in ten use AI every week. One major reason for this usage gap is that employees haven’t been given enough guidance or training – only 15% of U.S. workers say their organization has communicated a clear AI strategy, and a mere 11% feel “very prepared” to work with AI in their role.
When people aren’t sure why or how to use new AI tools, it’s no surprise they stick to familiar routines. This lack of preparedness is widespread. Even though 75% of companies have now adopted some form of AI technology, just one-third of employees have received any AI-related training in the last year. In other words, companies are rolling out AI faster than their teams can absorb it. The result? Employees feel left behind and anxious. They might even quietly push back against AI projects – skipping the use of a new system or voicing doubts – not because they hate innovation but because they feel unready and unsupported.
Corporate leaders risk underutilizing their AI investments when the workforce isn’t on board. Consider that only about one in five digital transformation initiatives fully achieves its goals, often due to cultural and adoption issues. When employees aren’t empowered to use AI, those expensive platforms and algorithms can turn into costly shelfware, delivering only a fraction of the promised productivity gains. In short, technology alone can’t transform yo
CHAPTER 1
The Global State of AI Readiness: A Data-Driven Analysis
Momentum, Without a MapIn boardrooms and strategy sessions across the globe, artificial intelligence has moved from a distant aspiration to an immediate priority. Our extensive survey of 655 business leaders from countries including the U.S., U ...
CHAPTER 2
The Technical Foundation: Technology Requirements for AI Success
2.1 Overview of AI Technology Requirements2.1.1 The Need for a Robust Technology InfrastructureArtificial Intelligence (AI) systems are advancing rapidly, becoming more flexible, scalable, and powerful. But to unlock their fu ...
CHAPTER 3
Policy and Governance: Shaping the AI Regulatory Landscape
The policy and governance landscape for artificial intelligence (AI) is multifaceted and complex due to several factors. First, a variety of actors at local, national, regional, and global levels contribute to the governance of AI. Second, the umbrella term “AI” ...
CHAPTER 4
AI Safety and Risk: Navigating the Path to Responsible Innovation
AI is evolving at a pace that promises unprecedented gains—improving healthcare diagnostics, streamlining logistics, and unlocking new avenues of creativity. Yet, this rapid growth raises questions about safety, reliability, and accountability. ...
CHAPTER 5
Trust and Security in the AI Era
5.1 Understanding AI’s Unique Security and Trust Challenges ...
CHAPTER 6