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The ROI of Organizational AI Training

Without training, employees can expose you to unacceptable levels of financial, operational, legal, and reputational risk

Let’s examine the common reasons for neglecting comprehensive employee training on Enterprise AI. 

  • These reasons are not simply isolated mistakes; they are symptoms of deeper, systemic issues.

The big picture: Our analysis indicates that skipping AI training is not a prudent approach to cost savings; rather, it is a significant strategic error. 

  • This mistake exposes the organization to unacceptable levels of financial, operational, legal, and reputational risk while simultaneously hindering the ROI that AI is designed to deliver.

  • Periodically, the resulting disasters make the news.

Why it matters: The consequences of this neglect are severe and varied.

  • They include multi-million-dollar project write-offs, as demonstrated by the well-documented failures of IBM Watson Health and Zillow.

  • There are cascading operational inefficiencies and quality control issues, increased legal risks from biased or inaccurate AI outputs—such as those seen with Air Canada's chatbot.

  • Critical security vulnerabilities due to the emergence of shadow AI, and a decline in human capital characterized by higher employee turnover and the erosion of essential critical thinking skills.

The ROI trap: The most often mentioned barrier to implementing comprehensive AI training is the financial aspect. 

  • Leaders, facing tight budgets and pressure to deliver quick returns, frequently view workforce training as a discretionary expense rather than an essential investment. 

  • This viewpoint stems from a misguided assumption that prioritizes immediate, visible costs while neglecting the significantly larger and often hidden long-term consequences of having an unprepared workforce.

By the numbers: The decision to forgo AI training often arises from two interconnected financial concerns: the perceived high costs of training programs and the challenge of seeing an immediate return on that investment.

  • Firstly, the direct costs associated with AI training are concrete and can seem quite significant. 

  • For organizations operating on tight budgets, these expenses can be intimidating when viewed in isolation on a balance sheet. 

  • This concern is reflected in survey data, which shows that 41% of IT decision-makers and 26% of IT leaders identify limited budgets and high costs as the primary obstacles to AI adoption and training.

An insurance policy: Leaders often struggle to connect the initial investment in AI training to a direct and immediate return on investment (ROI).

  • Enterprise-wide AI initiatives have demonstrated only a modest initial ROI, reported to be around 5.9% in some studies.

  • However, the smaller, definite cost of a training program acts as an insurance policy against the larger, more likely costs associated with project failure.

  • A significant underestimation of the human aspect in AI adoption often accompanies a lack of strategic direction.

The human perspective: AI literacy is a critical skill that empowers the entire workforce to engage with AI concepts effectively, ethically, and safely. 

  • It has become as essential as basic computer skills. 

  • An AI-literate employee understands AI's capabilities and limitations, knows how to interpret AI outputs critically, and is aware of potential biases and inaccuracies. 

  • By investing in broad AI literacy programs, organizations can help employees move from being passive, vulnerable users to becoming critical thinkers and empowered collaborators.

Change management: Currently, 45% of CEOs report that their employees resist or even actively oppose the introduction of AI.

  • Ignoring employee resistance does not make it go away; in fact, it often allows it to persist and even grow. 

  • When there is a lack of clear communication and training, employees' fears—such as concerns about job replacement, increased surveillance, and skills becoming obsolete—are validated and intensified. 

  • This situation fosters a toxic culture of fear and mistrust, resulting in low adoption of new tools, passive-aggressive resistance, and even open hostility towards AI initiatives. 

Go deeper: Download a free copy of Human Strategies for Enterprise AI