5 Tips on How to Talk to Your Team About AI
Anna Anisin
Founder & CMO at FormulatedBy + DataScience.Salon | ???????????????? ?????? ?????????? | Entrepreneur | Marketing & Growth Strategist | Mentor | Boy Mom ??
How do you feel when you're about to implement AI-based solutions in your company or department? Excitement about the technology? Concerns about its untested nature? Pride in being a leader in innovation? Or maybe a mix of all these emotions? Regardless of how you feel, it's crucial to also consider how your team feels—it might even be more important.
The news headlines about AI emphasize how AI transforms workflows. The global AI market is expected to hit $757.58 billion by the end of 2025. Nothing to be surprised about—it saves money or boosts efficiency. Listening to the more cautious voices can bring up concerns about job cuts or the potential risks of hallucinations that could threaten the business. Depending on the type of news the team consumes, their approach may vary from enthusiastic to indifferent, to reluctant, or even hostile toward implementing AI.
The key is communication. My team integrates AI tools into their daily work, using them to assist with both routine and highly challenging tasks. This was made possible by following the best practices outlined below:
Mutual trust and respect
First and foremost, my team trusts me, and I trust the people I work with. There are multiple types of organizational cultures, yet one based on fear is not a good ground to start the AI journey. Without trust among employees and management, both vertical and horizontal, there would be a lot of false reports or politics around things that should be only evidence-based.
Clear information on roles and tasks to handle (and not to handle)
AI can be a powerful tool to handle everyday tasks. The challenge is that it is not suitable for all of them. When it comes to common business tools, their usage is pretty straightforward. The CRM stores the data, word processing tools support writing—you name it. Actually AI tools improve productivity by up to 80%. AI-based tools like ChatGPT are different, with their abilities appearing limitless.
To effectively use AI-based tools, the company needs to start small and handle only smaller tasks in the beginning. Also, the tasks of choice need to be carefully selected to not endanger the company with data leaks or communication failures.
Starting with simple, repetitive, and mundane tasks is ideal, along with company-wide lists of data or information that should never be shared with AI-based solutions. This brings us to the next point, which is about...
Training
The team must be clearly informed about how to use these tools, the goals they aim to achieve, and the purpose behind their implementation. Additionally, guidance on the interface and usage procedures is essential.
The best example is ChatGPT, where use cases are countless, yet the technology itself cannot be used without supervision. For example, a social media specialist who isn't interested in AI technology might be completely unaware of the issue of hallucinations. Machines can't lie, right? Well, not in this case.
Setting an example
Another key factor is leading by example—explore AI yourself. Show the team that they aren't just guinea pigs. If they see their boss embracing the technology, any initial reluctance is likely to decrease significantly.
Being transparent on goals and motivations
Last but not least, the team needs to know the purpose of testing new AI-based solutions. The team will be much more eager to tinker with new systems if they know the purpose. If there is a fear of being replaced somewhere in their heads, the implementation will fail no matter how sophisticated and good the system itself is. And up to one in three US employees is currently feared of losing a job due to AI.?
On the other hand, if using the tools will boost job security due to getting new clients and making tasks faster, the team will be more than happy to use them. Companies that use AI tend to attract up to 50% more leads.?
Summary
Implementing AI solutions in a company goes beyond just the technology. The human element is even more crucial—without the support of the team, even the most advanced technology will fail to deliver the desired results.
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1 天前I think the most important point when discussions on AI happen with teams is to just focus on the potential & how it can enhance human capabilities. We do not want to totally replace our team.
Assistant Purchase Manager | Strategic Sourcing, Vendor Management, Cost Optimization | I Help Torero Corp Drive Cost Savings Through Strategic Procurement| 12+ Years of Experience in SCM
3 天前I'll keep this in mind