Improve Your Productivity with AI

Artificial intelligence is often described as a way to work faster and get more done, but it doesn’t automatically make people more productive. In many cases, it can actually create extra work at first, as people spend time checking outputs, fixing mistakes, or rewording prompts to get better results. Without

the right approach, AI can become another layer of work rather than something that removes it. AI only improves productivity when it is used effectively... and that means changing how you work, not just doing things faster.

Where AI Actually Saves Time

AI is most useful for handling repetitive or low-value tasks... things that take time but don’t require much thinking. For example, it can help draft emails, summarise documents, organise information, or structure ideas. These kinds of tasks often take up a large part of the day, even though they’re not the most important work. By reducing the time spent on them, AI frees you up to focus on higher-value activities like problem-solving, decision-making, and strategy.

One of the main reasons people struggle with AI is that it requires a different way of working. To use it well, you need to ask clear questions, refine the outputs, and understand when it’s useful and when it’s not. Many people expect instant results, but the real benefits come over time as you learn how to use it properly. Without that learning process, the impact of AI is limited.

AI can help you produce more work in less time, but that doesn’t always mean better results. It’s easy to generate more content, ideas, or analysis, but if you don’t check the quality, it may not be useful. In some cases, it can create a false sense of productivity, where more is produced but less value is created. To use AI effectively, you need to balance speed with quality.

Build Systems

AI works best when it is used to build systems, not just speed up individual tasks. If you only use it for one-off jobs, the benefits are limited. But if you use it to create repeatable workflows... like a consistent process for writing, research, or planning... you multiply its impact. For example, instead of using AI for a single email, you could build a system for handling all your communication, or a repeatable way to gather and summarise information. Real productivity gains come when AI becomes part of how you work, not just something you use occasionally.

AI changes the role you play in your work. Instead of doing everything yourself, you focus more on directing the task, reviewing the output, and making the final decision. This means productivity becomes less about effort and more about how effectively you guide and manage the process.

AI is most effective in tasks where information needs to be processed quickly, such as research, writing, idea generation, and basic analysis. In these areas, it can save time, improve clarity, and help organise your thinking. However, it is less reliable when tasks require judgment, context, or more nuanced decision-making, which still depend on human input. Overall, AI can improve productivity, but it depends on how it is used—used poorly, it can add to your workload, but used well, it can save time and support better decisions. The biggest benefit comes from building systems around AI, not just using it to work faster, as it is a tool that enhances effort and thinking rather than replacing humans or thinking—it is a tool that can make both more effective when used correctly.

How AI is changing Decision-Making

This shift isn’t just happening at an individual level... it’s also changing how organisations use data and make decisions. Traditionally, business intelligence (BI) tools were used to understand the past, showing data in dashboards to answer questions like “what happened?”. The process was largely static: collect data, analyse it, and report it.

With AI, this is changing. These systems are moving beyond reporting to actively supporting decisions by identifying patterns, explaining trends in plain language, and suggesting actions. Instead of just analysing the past, they help guide what to do next. In this way, AI is shifting work from producing information to supporting thinking and decision-making in real time.