Many businesses are in danger of making the same mistake with artificial intelligence that they once made with social media.
They are using it. They are talking about it. They are experimenting with it.
But they are not yet changing the way their business operates because of it.
For many companies, an AI strategy still means giving employees access to ChatGPT, Claude or another generative AI platform and encouraging them to complete everyday tasks more quickly.
That can create useful efficiencies, but it misses the much bigger opportunity.
The businesses that achieve high growth from AI are likely to be those that stop seeing it as another tool and start treating it as part of the system through which work gets done.
We have seen this pattern before
The early years of social media offer a useful comparison.
Many brands initially approached social media as another advertising channel. They published promotional messages, repurposed existing campaigns and effectively tried to use a new medium in exactly the same way as the old one.
A smaller number of businesses saw something different.
They spent time understanding how people behaved on the platforms. They listened to conversations, learned how communities formed and recognised that social media was changing the relationship between brands and customers.
Instead of simply broadcasting, they started participating.
Those businesses were able to build audiences, influence culture and understand changing customer behaviour much earlier than competitors who viewed social media as little more than another distribution channel.
AI may now be creating a similar divide.
The companies worth watching are not necessarily those making the loudest claims about using AI. They are the businesses quietly embedding it into research, decision-making, customer insight, marketing optimisation and operational processes.
The important question is no longer simply, “Are we using AI?”
It is, “What can now work fundamentally differently because AI exists?”
1. Stop thinking about AI as another productivity tool
If your AI strategy consists of giving the marketing team access to an AI platform and encouraging them to write emails, summarise documents or create social posts faster, you are probably thinking too small.
Start with the business process instead.
Look at where your teams spend their time. Identify repetitive activities, bottlenecks, slow decision-making and areas where important information is difficult to access.
Then challenge the existing process.
Could research happen faster? Could customer data be interpreted differently? Could opportunities be identified earlier? Could reporting move from describing what happened to helping teams decide what should happen next?
This is where AI starts moving from productivity tool to business capability.
2. Give talented people more time to do valuable work
One of the most important opportunities created by AI is not simply reducing the amount of work people do.
It is increasing the amount of valuable work they can do.
A strategist who spends less time manually gathering information can spend more time interpreting what it means.
A creative team that can explore more ideas quickly can spend more time deciding which ideas deserve investment.
A leadership team with faster access to useful insight can spend more time making informed decisions.
AI should amplify judgement, creativity, experience and commercial thinking rather than simply replace activity.
For a high-growth business, this distinction matters.
Efficiency has value. But increasing the amount of high-value thinking taking place across the organisation has the potential to create considerably more.
3. Create an environment where people can experiment
There is no substitute for actually using AI.
Reading reports, attending webinars and listening to experts can improve awareness, but businesses will only understand where AI creates value by putting it into practice.
That means giving people permission to experiment.
Encourage teams to test different approaches. Let them explore where AI performs well, where it fails and where human judgement remains essential.
More importantly, capture what they learn.
A successful experiment should not remain with one employee or department. Useful prompts, workflows and processes can be shared, refined and gradually turned into repeatable ways of working.
This is also where a business coach can add value by helping leadership connect experimentation with wider strategy, performance and commercial objectives.
Experimentation should not become innovation theatre. It should ultimately lead to better business outcomes.
4. Challenge your external partners
The same questions should be asked of agencies, consultants and suppliers.
Almost every agency can now say it uses AI.
That tells you very little.
Instead, ask how AI has changed the way the agency delivers strategy, research, creative work, media planning, reporting and measurement.
Ask what the team can do today that it could not do two years ago.
Ask whether AI has simply been added to existing processes or whether those processes have genuinely been redesigned.
There is an important difference between an organisation that has adopted AI tools and one that is rebuilding the way it operates around new capabilities.
That difference will become increasingly significant.
AI should change the system, not decorate it
It is easy to experiment with a chatbot, receive an average response and decide that AI has been overhyped.
It is equally easy to generate an image or piece of content and mistake novelty for transformation.
Neither approach captures the real opportunity.
AI has the potential to influence how businesses gather information, understand customers, make decisions, develop ideas and allocate resources.
The businesses that benefit most will not necessarily be those using the greatest number of AI tools.
They will be the ones asking better questions about how the business itself should now operate.
For leaders focused on high growth, that may be the most important shift of all.