Hi folks,
I’ve been dabbling with automation platforms for about a month now, mainly using tools like Make and Zapier to create simple workflows. Most of my automations are pretty straightforward - connecting Google Sheets to Slack notifications or triggering email sequences from form submissions.
I have some background in JavaScript and REST APIs from teaching myself web development over the last year. I’m comfortable with basic programming concepts but wouldn’t call myself an expert developer.
Lately I’ve been thinking about diving deeper into workflow automation. Maybe learning more complex integrations, understanding webhooks better, or even starting a side business helping small companies automate their processes.
But here’s what’s bothering me:
With all the advances in AI assistants and natural language processing, I wonder if we’re approaching a point where people will simply describe what they want automated and AI will generate the entire workflow automatically. No need to understand API endpoints, data mapping, or conditional logic.
Will AI eventually replace the need to learn automation platforms altogether?
I’m looking for your thoughts on:
- Should I spend serious time becoming proficient with these tools now?
- Will AI enhance automation builders or make them obsolete?
- What knowledge areas will remain valuable even as AI improves?
If you were starting fresh today with my skill level, what would you prioritize learning? Are there aspects of automation that AI will struggle to replicate - maybe business strategy, process design, or system architecture?
Just trying to make smart decisions about where to focus my learning efforts.
Appreciate any insights!
You seem to be contemplating a crucial aspect of modern automation. While AI may streamline certain tasks, the essence of workflow automation goes beyond mere tool usage. Understanding business processes, identifying automation needs, and handling complex scenarios are skills that AI may struggle to replicate. In practice, many clients lack clarity in defining their workflows for an AI. Your background in web development and programming is a solid foundation. Rather than just mastering platform specifics, focus on how systems interact and the importance of data management. Continue to explore tools like Make and Zapier, but invest time in honing your skills in process analysis and requirements gathering. Those areas will remain invaluable, even with AI advancements.
I’ve been doing automation for years before AI exploded, and here’s the thing - what you’re learning now is getting MORE valuable, not less. The real challenge was never building the tech stuff. It’s figuring out what actually needs automating and why. Even when AI cranks out workflows, someone still has to map the business logic, catch edge cases, and fix things when they break (and they will). Your JavaScript background is huge here because you can debug when AI code craps out. Keep going with Make and Zapier, but also learn error handling and monitoring. Clients don’t care if you built it by hand or AI did it - they want stuff that works and keeps working.
you’re overthinking this. AI still needs humans to decide what to automate and fix things when they break - and they always break. keep learning zapier/make. understanding the basics will help even when AI gets better at building workflows.
You should definitely invest time in mastering AI workforce automation tools, because they are evolving into the foundation of modern operations. Rather than replacing workflow automation, AI business process automation enhances it — making workflows smarter, adaptive, and more efficient. The future isn’t about AI replacing tools, but about combining both to drive scalable business impact.