Without Training, Companies Are Wasting Money on AI.

Without Training, Companies Wasting Money on AI.

Many companies invest in technology but neglect one critical element: preparing employees to use it effectively. Without proper training, tools often go underused, leading to missed opportunities and wasted potential. The real question is, how can businesses ensure their teams are ready to make the most of these innovations?

Companies investing in artificial intelligence often overlook a key factor that determines its success: employee training. While many set up the tools and expect quick results, the real gains come when employees know how to use these new technologies effectively. Structured training programs are proving important, helping teams become more productive, innovative, and aligned with emerging regulations.

Why preparing employees for these tools is important

Over the past few years, businesses have integrated these technologies into their operations at a growing rate. Surveys indicate that as of early 2024, 78% of organizations report using these tools in some capacity, up from just over half in 2023. Yet, only a small fraction—about 38%—have introduced formal training programs for their workforce.

When employees are left to figure things out on their own, results tend to fall short. Missteps in implementation and underused tools slow progress, while training equips employees with the knowledge to apply these systems to their day-to-day work confidently. Data supports this: businesses with training report far higher productivity increases compared to those still experimenting without structured guidance.

What training programs offer

Modern training goes beyond basic introductions to powerful tools. Effective programs are focused and practical, emphasizing how employees can apply what they learn directly to their roles. Successful approaches include:

  • Short, role-based lessons that fit easily into daily responsibilities. Modules specific to HR, finance, sales, or operations help teams use these technologies to address challenges unique to their work.
  • Live, hands-on simulations showing practical examples, from streamlining customer service to analyzing data or automating administrative tasks.
  • Sessions on ethics and compliance, ensuring employees understand the importance of responsible use, privacy concerns, and maintaining trust.
  • Advanced training initiatives, like certification programs, expand knowledge for technical professionals, covering subjects such as language processing and data analysis.

The benefits of a trained workforce

The payoff becomes clear when teams begin incorporating these tools smoothly into their workflows. Across industries, organizations are seeing real changes:

  • Marketing teams use these tools to evaluate campaign performance and develop content more efficiently, improving strategies with data.
  • HR departments streamline hiring by using digital tools to filter resumes and even assist in onboarding processes, while still prioritizing human judgment.
  • Financial institutions see improved fraud prevention systems that work faster to detect irregularities.
  • Legal professionals reduce repetitive workloads, using powerful tools to draft documents and conduct thorough reviews.

Increased productivity isn’t the only benefit. Employees trained to use these systems save significant time—often one to two hours each day—by automating routine tasks. New ideas also emerge as teams grow more comfortable experimenting with updated functions, a competitive edge in rapidly changing markets.

Where training is needed most

Different roles interact with these tools in different ways. For example, executives and analysts are currently among the most frequent users, while others, such as operations or support roles, are more likely to encounter these technologies indirectly through automated systems.

This indirect exposure highlights the need for a broader understanding across all team levels. Employees who may not directly use the tools still benefit from knowing how they influence workflows and decisions. For roles where responsibilities involve sensitive matters, detailed training is often required to manage complexities properly.

Why companies can’t afford to overlook this

Integrating new technology without training often results in low engagement and wasted investment. While teams may initially struggle to adapt, introducing proper guidance can turn these challenges around. Without it, organizations risk security vulnerabilities, inaccurate outcomes, and poor adoption rates, reducing the overall return on their investment.

Compliance is an additional concern. As regulations grow stricter, organizations must ensure transparency and oversight. Teams must understand how to manage outputs, document workflows, and know when human input is necessary. Establishing good practices early helps businesses stay ahead of changing policies.

Steps for businesses to take now

For organizations ready to prioritize training, here are five key steps to build a strong foundation:

  1. Examine how roles within the company interact with these systems, whether directly or indirectly, to identify where training is most needed.
  2. Experiment with different training strategies on small groups across departments to determine what will be most effective for wider adoption.
  3. Encourage employees to adopt new skills by offering performance incentives, recognition programs, or potential career growth opportunities.
  4. Include relevant instruction as part of the onboarding process, establishing workplace norms early.
  5. Regularly update programs to keep up with changes in tools and technologies, bringing in partners or external resources if necessary.

The path forward

As these systems become more widely adopted, training your team isn’t just helpful—it’s now a necessity for staying competitive. Companies that focus on getting their teams ready today stand to gain not only in efficiency but also in creativity and adaptability as industries continue to adjust to new demands. Delaying these efforts could mean falling behind, while those acting now will set the standard for future growth.

Image Credit: GPT Image 1 / Realism.

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