How to deal with the AI ​​shift even if you think your business is already facing it

You may already be thinking about developing AI for your business. There may be team members who advocate for the right tools, development strategies, or AI. And you’re probably right to be happy with that progress. But there’s a question worth sitting here. Are your teams actually changing the way they work, or are they just using new tools in the same old way? writes Jessica Trumbull.

The difference between deploying AI and fully embedding it is something most companies get stuck without realizing.

Small businesses have a real advantage here. Unlike large enterprises burdened by security teams, complex compliance processes, and slow change management cycles, small businesses can move quickly. But new AI tools, capabilities, and use cases are emerging faster than any company can wisely assess. Even people with strong technical backgrounds are becoming overwhelmed. And if that’s true for the most talented people, what does it mean for everyone else?

Here’s the uncomfortable truth. No matter what AI strategy your business has, it’s probably already outdated. It’s like spending months learning to drive and then hitting the road in a Model T Ford with Weymos gliding in front of you.

This means that mastering your current tools is not the goal. It’s about building teams that can adapt continuously, not once, as conditions continue to change. That’s why behavioral change is the single biggest lever most companies need to take right now.

The skills gap is real and closer than you think

According to a 2025 Skillsoft survey, only 10% of managers believe their employees have the skills needed to achieve business goals in the AI ​​era. Additionally, 91% of employees suspect they are exaggerating their AI capabilities. This does not reflect any malice. People want to seem competent. But that means what appears on the surface to be the introduction of AI can mask a much thinner reality underneath.

Building real functionality requires more than just access to tools. It requires direction, practice, and a cultural willingness to keep learning.

Start with strategy, but get lean

Behavioral change does not occur in isolation. You need direction. But when we talk to companies about their AI strategies, the same common traps often emerge.

The first is AI’s “shiny object syndrome.” Well-meaning team members champion certain tools or automations that sound appealing, but take time and resources away from changes that deliver real business value. The second is inertia. AI can be overwhelming, and without clear direction, teams can silently default to doing nothing in this area. The third is ad hoc deployment. Too many tools are uniquely chosen across a business, creating friction, confusion, and sometimes unintentional security breaches.

A clear AI strategy can help you avoid all three of these common traps. Importantly, it will also give your team something they need more than you could hope for: confidence. When people understand what your business is focused on from an AI perspective, why, and how they can contribute, they stop quietly wondering if they’re doing too much, too little, or whether their role will exist in six months.

Fortunately, a useful AI strategy doesn’t require months of work. Keep your standards high. Define the area you want to focus on, why that area is important, how you will approach it, and how you will see if it is working. You can go a long way by asking a few simple questions, such as:

• What are our main manual repeatable processes?
• Can it be safely automated?
• What will your employees be able to do?
• What don’t you want AI to do?

The goal is not automation per se. It’s automation that truly creates space for smarter, more meaningful work.

Practical methods to make it stick

Once the direction is shared, a few key habits will help your team build and maintain true AI capabilities.

This includes assigning clear ownership to each tool or automation area. It’s the go-to for people who have the time and authority to become real power users – enthusiasts as well as colleagues. Without this, even great tools are subject to inconsistent, minimal, or inefficient usage.

Next, build a cadence of regular reviews so your strategy can evolve without being in constant flux. A quick check-in every few months to see if this is going as planned and is worth the investment can prevent stagnation and the temptation to chase every second new AI tool release. Detailed reviews every six months, including ROI, keep things transparent and accountable.

Currently, no one can confidently quantify the long-term impact of AI on employees, so experimentation, curiosity, and consistent effort are all important. As well as radical integrity, quantified impact assessments and rapid failure/learning cycles to ensure we understand the true impact of incorporating AI and changing the way teams work are understood and closely managed.

people equation

Companies that look back on this period as a turning point are not necessarily the ones that migrated the fastest or those that adopted the most tools. They will be the ones who figure out how to take their employees on a journey of rapid change by building real capabilities, unlocking the superpowers of the human workforce, maintaining psychological safety around deliberate experimentation, and fostering a culture that treats adaptability and curiosity as core skills.

AI will continue to change. Successful companies are those that can adapt their teams accordingly.

Jessica Trumbull is the founder and CEO of We Are Charlotte.