Are Companies Prepared For AI's Mass Rollout?

Key Concepts

• Artificial Intelligence (AI): Systems designed to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.
• CXO (Chief X Officer): Refers to C-level executives (e.g., Chief Executive Officer, Chief Financial Officer, Chief Experience Officer), representing top management.
• CHRO (Chief Human Resources Officer): A senior executive responsible for an organization's human resources management and strategy.
• Data Analysis: The process of inspecting, cleansing, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making.

The AI Deployment-Readiness Gap

The video, presented by David Mlan, Senior Editor at Forbes's content and design studio, for the "Inside the Numbers" series from Forbes Research, highlights a significant disconnect between companies' rapid deployment of Artificial Intelligence (AI) systems and their preparedness in training employees to effectively use these new tools. While companies are actively developing AI systems for various applications, a critical gap emerges in equipping their workforce.

Aggressive AI Investment and Application

Companies are in a race to integrate AI into their operations, developing new systems across multiple domains. Specific applications mentioned include:

• Customer support: Enhancing interactions and service delivery.
• Process automation: Streamlining and optimizing operational workflows.
• Financial forecasting: Improving predictive capabilities and strategic planning.

This aggressive push is backed by substantial financial commitments. According to Forbes Research's 2025 CXO growth survey, a striking 93% of respondents indicated their organization plans to increase investment in AI over the next two years. Furthermore, more than half of these organizations are projected to increase their AI budgets by 16% or more, underscoring a strong commitment to AI adoption.

The Critical Shortfall in Employee Training

Despite the heavy investment in AI technology, there is a notable under-prioritization of employee training. The survey reveals that only 49% of Chief Human Resources Officers (CHROs) currently prioritize training employees in AI and data analysis. This figure indicates that roughly half of HR leaders are not making AI readiness a top training priority.

Even among companies that are investing heavily in AI, this number, while higher, does not drastically improve. For these significant AI spenders, the percentage of CHROs prioritizing AI and data analysis training only rises to 57%. This suggests that even organizations at the forefront of AI adoption are not adequately preparing their teams to leverage the full potential of these advanced tools. As David Mlan states, "So even many of the biggest AI spenders aren't equipping their teams to leverage its potential."

Consequences of the Training Gap

The video argues that in their haste to deploy AI, many companies are inadvertently creating a burden for their employees. The implication is that without proper training, teams are left to figure out how to integrate and utilize AI tools on their own, potentially hindering efficiency and the realization of AI's benefits. David Mlan concludes by noting, "In the rush to deploy AI, many companies appear to be leaving it to their teams to sort out the details." This approach risks underutilizing expensive AI investments and creating frustration among the workforce.

Conclusion: Unlocking AI's Full Potential

The core takeaway from this "Inside the Numbers" segment is that while companies are making significant financial and strategic commitments to AI deployment, a critical oversight exists in preparing their human capital. The substantial gap between AI investment and employee training in AI and data analysis suggests that many organizations may not be fully realizing the potential benefits of their AI initiatives. To truly unlock AI's capabilities, companies must shift their focus to equally prioritize comprehensive employee training alongside technological deployment.