Companies are moving quickly to approve artificial intelligence, but many are not prepared to use it effectively or responsibly.
In boardrooms, AI projects are often signed off quickly because leaders feel pressure to keep up with competitors and meet market expectations. Approving a project is easy. Ensuring it is implemented safely is much harder.
Executives frequently make decisions before the rest of the organization is ready. Teams responsible for legal compliance, data protection, security, and ethical oversight are sometimes involved only after AI tools are already in use. Employees are then left to figure out how to work with the technology without clear guidance.
Shomron Jacob, a Silicon Valley–based AI & Machine Learning expert and technology advisor, describes this as an “AI readiness gap.” He observes that many companies are acquiring AI platforms before they fully understand whether their data, governance, security, and operating models can support them.
The gap exists in part because leadership focuses on growth and efficiency while operational risks, such as biased outputs, inaccurate results, or data vulnerabilities, often appear later. Many organizations underestimate what deploying AI safely actually requires. Purchasing a tool is simple, but using it responsibly involves high-quality data, clear usage guidelines, ongoing monitoring, and well-defined accountability. Approval alone does not create these safeguards.
The AI readiness gap also introduces significant security concerns, particularly in the United States, where comprehensive AI regulations are still largely absent. Without clear rules, organizations may deploy AI tools that handle sensitive customer or business data without proper safeguards. This can leave companies vulnerable to data breaches, intellectual property theft, or cyberattacks. When security teams are brought in late or are not consulted at all, critical risks may go unnoticed until a breach or operational failure occurs. Jacob notes that this lack of regulatory guidance can lead organizations to assume safety measures are the vendor’s responsibility, even though ultimate accountability remains with the company using the AI system.
Employees often feel the pressure of these gaps first. In many workplaces, staff are encouraged to experiment with AI without clear guidance on what data can be used, how outputs should be verified, or who is responsible if something goes wrong. Informal adoption can increase risk while giving leadership a false sense of progress.
The global regulatory landscape is evolving, though unevenly. As of early 2026, over 70 countries have implemented various AI policies aimed at promoting accountability, transparency, and safe usage. While some countries are actively setting rules to govern AI deployment, the United States has not established a consistent framework. Many companies therefore face uncertainty about what safeguards are legally required and which best practices are sufficient. The absence of clear regulations may drive businesses to prioritize speed and competitive advantage over careful preparation.
AI can provide significant benefits, and most businesses cannot afford to ignore it. Jacob emphasizes that readiness is just as important as ambition. Companies that align their data, governance, security, and operational structures before deployment are better positioned to succeed. Moving too quickly may deliver short-term progress, but in the long run, lack of preparation can lead to operational errors, regulatory complications, and costly security breaches.
The difference between success and setbacks may depend on whether organizations prepared for AI before approving it. In an environment where technology moves faster than rules, companies that slow down to establish proper oversight and safeguards may find they gain not only safer AI deployments but also a stronger foundation for long-term innovation.
Businesses that want to succeed with AI should act now to assess readiness, strengthen governance, and ensure proper safeguards before giving the green light to new projects.