AI and Automation – What’s the Difference?

Although AI is often used interchangeably with automation, the two concepts are quite different. While automation is focused on reducing the taxing workload of certain tasks Artificial Intelligence is more concerned with changing and maximizing work to get the highest outcomes.

The difference lies in the scope of the work that the tools perform – and the way in the manner they perform it. Automation utilizes simple rules to accomplish tasks, such the transfer of emails into specific files based on certain parameters (or using an Excel formula). This is typically done using pre-programmed software that is used in business processes, such as executing tests or creating reports.

AI technologies on the other hand, use sophisticated neuro-like pathways to connect data points and to learn from them in a manner similar to how humans operate. Take for instance Boston Dynamics’ robot Spot. It makes use of the information it receives from its environment to continually optimize itself. This is the reason it’s different from traditional automation, and also why its impact on workers will likely be more disruptive in the future.

AI can help businesses work more efficiently and faster, while also eliminating human error. Its ability to identify patterns, self-optimize and automate mundane and repetitive tasks allows it the ability to handle the tedious and repetitive tasks that employees are not trained to do. This allows them to focus on strategic and value-added tasks. This is what drives the remarkable productivity gains observed in multifamily leasing today, with more time being focused on the most important tasks and better customer experience.

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