Here's how you can prepare for the potential impacts of automation on GIS careers.

1 Upskill Constantly

In a field as dynamic as GIS, staying current with technological advancements is essential. Automation may replace routine tasks, but it also creates opportunities for those who can leverage new tools. By continually learning and upskilling, you can ensure that your expertise remains relevant and in demand. Engage with online courses, workshops, and certifications that focus on emerging areas in GIS, such as spatial data science or programming languages like Python, which are often used in automating GIS tasks.

2 Embrace Coding

Understanding and writing code has become indispensable in the GIS profession. Familiarize yourself with scripting and automation through languages such as Python, which is particularly popular for automating GIS processes. There's no need to become a full-fledged software developer, but being able to create, modify, and troubleshoot scripts will make you a valuable asset in an automated environment. Start with basic Python libraries like ArcPy or QGIS's PyQGIS to automate repetitive GIS tasks.

4 Soft Skills Matter

Soft skills such as communication, problem-solving, and project management are more important than ever. Automation can handle data processing, but it cannot replace the human element of storytelling and decision-making. Being able to articulate the significance of GIS findings to stakeholders or lead a team through a complex project are skills that will set you apart in an automated landscape.

5 Industry Knowledge

Deepen your understanding of the specific industries where GIS is applied. Whether it's urban planning, environmental conservation, or public health, having sector-specific knowledge can make you indispensable. Automation might change how tasks are performed, but it cannot replace the nuanced understanding of industry challenges and goals. This expertise allows you to apply GIS solutions effectively within your chosen field.

6 Future-Proof Career

Lastly, think strategically about your career trajectory in the context of automation. Consider roles that are less likely to be automated, such as those requiring complex decision-making or strategic oversight. Positions that blend GIS expertise with other disciplines, like business intelligence or data analytics, may offer more security as automation becomes more prevalent in pure GIS roles.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?