Over the past few years, AI has become an increasingly common part of the workplace, helping professionals streamline processes and work more efficiently. From generating content and summarising research to creating prototypes and analysing data, AI tools are enabling tasks to be completed faster than ever before.
For agencies and in-house teams alike, the benefits are clear. Work that once took hours can now take minutes, creating more time for strategic thinking and creative problem-solving. But as AI adoption continues to accelerate, an important question is beginning to emerge: are we making teams more effective, or simply making individuals more productive?
Moving from individual productivity to team collaboration
One of the key themes discussed at Miro's recent Canvas 26 event was the balance between productivity and collaboration. While AI is incredibly effective at helping individuals work faster and generate outputs more efficiently, it can sometimes have the unintended effect of creating silos within teams. As different people begin using different tools, prompts, and workflows, ways of working can become fragmented, making it harder to maintain alignment. The result? More outputs, but not always better alignment.
This challenge extends beyond any single department. A marketer might use AI to develop a campaign concept, a strategist might analyse the supporting research and a developer might explore how it could be implemented. Each person may be working efficiently, but if those outputs aren't brought together, teams can end up moving in different directions.
As AI becomes increasingly embedded in the way we work, the real opportunity may not be using it to speed up individual tasks, but using it to help teams think, create and solve problems together more effectively.
The hidden cost of AI productivity
There's no doubt that AI is transforming the way teams work. Marketers can create content at scale, strategists can analyse information more quickly, developers can accelerate technical tasks and designers can explore concepts in seconds.
One of the most interesting themes to emerge from Miro's Canvas 26 event was that while creation has accelerated dramatically, decision-making often hasn't kept pace. Teams can now generate dozens of ideas in the time it previously took to generate one, but they still face the same challenge: deciding which idea to pursue.
This can create a new form of inefficiency. Instead of struggling to produce enough ideas, teams can find themselves overwhelmed by too many possibilities, with more time needed to review, discuss and agree on the right direction.
In some cases, AI can even create new silos. When individuals rely on different tools, prompts, and workflows, valuable context becomes fragmented, making collaboration and alignment more difficult.
For agencies and digital teams, the challenge isn't generating more ideas. It's ensuring everyone is moving in the same direction.
Why creativity has always been collaborative
Whether you're developing a new digital product, shaping a marketing campaign, improving an internal process or defining a long-term business strategy, the strongest outcomes rarely come from one person working in isolation.
Different teams bring different perspectives, expertise and experiences to a problem. Bringing those perspectives together allows organisations to challenge assumptions, identify opportunities and make more informed decisions.
This is where collaborative design platforms are becoming increasingly valuable. Rather than storing insights across multiple tools and conversations, teams can work from a shared environment where ideas, feedback and decisions remain visible to everyone involved.
This shared context can be particularly valuable during workshops, discovery sessions, strategic planning and creative development. Instead of using AI to generate an output and passing it from one person to another, teams can use technology to bring ideas into the same space, discuss them and build on them together.
The result isn't just better organisation. It creates better discussions, faster alignment, and more confidence in the decisions being made.
AI can help generate ideas, but the real value often comes from the conversations that happen around them.
The future is human & AI, not human vs AI
As AI continues to evolve, the most valuable skills aren’t disappearing; they’re becoming even more important.
Skills like judgement, creativity, empathy, and communication remain essential because they enable teams to better understand users and make strategic decisions.
While AI can accelerate execution and support the delivery of ideas, it cannot replace the human insight needed to understand problems, define objectives, and determine what success looks like in the first place.
For teams, this creates an opportunity to shift focus away from repetitive tasks and towards spending more time facilitating conversations, uncovering insights and creating clarity.
Rather than simply asking how AI can help one person complete a task faster, organisations should also be asking how it can help teams share knowledge, explore ideas and make better decisions together.
For example, AI might summarise a customer research session, but a team still needs to discuss what those findings mean. It might generate potential campaign concepts, but marketers and stakeholders still need to decide which direction best supports the business. It might help develop a digital solution, but teams still need to understand whether that solution actually solves the right problem.
The value of AI isn't just in what it can create. It's also in how it can support the people responsible for deciding what should be created in the first place.
Building Better Collaboration
The conversation around AI often focuses on productivity, but the bigger opportunity may be collaboration.
At Blue Frontier, we see the strongest outcomes when technology helps people work together more effectively. Whether we're running discovery workshops, developing digital experiences, analysing business challenges or shaping long-term strategies, success comes from creating alignment between teams, stakeholders, and users.
As organisations continue exploring how AI fits into their workflows, the goal shouldn't simply be to work faster. It should be to work better together.
Because in an increasingly AI-powered world, the teams that thrive won't be those with the most advanced tools. They'll be the ones that use those tools to create stronger connections, better conversations, and ultimately better outcomes.
Looking to improve collaboration across your teams? Blue Frontier can help you explore how the right digital tools, processes and strategies can bring people together and support better ways of working.
