You can Trailhead your way to Flow. You can cram your way to the admin or App Builder cert. Or if you’re a visual learner, you can watch enough YouTube tutorials to configure various parts of Salesforce in your sleep.
But there’s no badge, no module, and no exam objective for the one skill that’s increasingly separating admins and BAs who thrive from admins and BAs who get automated around in this age of AI. The skill we’re talking about is critical thinking. In this article, we’ll unpack what critical thinking actually means for Salesforce professionals in 2026, and some mindset shifts you can do to enhance your critical thinking and keep up with an ecosystem that’s moving faster than ever.
What Is Critical Thinking?
“Critical Thinking” is a broad term and can apply to a wide range of scenarios. But in a Salesforce context, it goes beyond simply “being smart” or “being a good problem-solver” and involves the habit of interrogating the “why” behind every request or build. It’s questioning the requirement before automating it, and recognizing when the technically correct answer may not always be the right business answer.
It’s essentially the judgement layer that sits on top of execution. Today, both humans and AI can execute a request, no questions asked. But critical thinking is the human skill that decides whether the request should have been executed at all, or whether it will still hold up as your org scales a few months from now.
Why Now?
This is not a new idea or skill. Critical thinking is important everywhere. It shows up in performance reviews and job specs, but it’s also vague enough to mean whatever the person saying it needs it to mean.
A recent SF Ben LinkedIn poll put a number on something a lot of us have been feeling anecdotally. Out of 340 votes, the number one most relevant competency for business analysts (BAs) in the age of AI was critical thinking, which won outright at 37% – a full 12 points ahead of AI/ technical skills in second place. Business expertise and people skills trailed behind at 21% and 16%, respectively. If this isn’t a signal that the ecosystem’s definition of “valuable” is already being rewritten, then I don’t know what is.
For years, the BA and admin skill stack was fairly predictable – knowing the platform’s ins and outs, how to gather requirements, and for BAs, how to translate “the business wants X” into something buildable. AI hasn’t removed that skill stack, but it’s “hollowed out” the middle of it.
Aside from execution tasks, Agentforce can help draft user stories. AI can even build a first-pass Flow or code, or help generate documentation that used to eat half your time. But what it can’t do is tell the difference between a solution that works and one that’s truly fit for its purpose.
AI hollowed out a gap where critical thinking can now be put in, and in Salesforce it’s a lot more specific than “being a good problem solver”. Specific skills like:
- Reading AI-generated output and recognizing when it sounds authoritative even though it’s actually wrong.
- Catching a bad requirement before it becomes a beautifully automated bad process.
- Knowing when not to build something, even when the tooling makes it easy to say yes.
- Asking “why” one more time than the AI would, because the AI doesn’t know if it should be suspicious.
None of this shows up on a certification exam, as they’re judgement calls you can’t multiple-choice your way into.
Critical Thinking Is Now Non-Negotiable
There’s a lazy version of the AI-anxiety narrative that says: AI does more, so humans need to do less, so the humans left standing just need to be really good at prompting.
The current state of the ecosystem tells a different story. Recent analysis of the evolving BA role found that as AI absorbs more of the documentation and drafting work, it actually opens up more space for deeper critical thinking and value prioritization.
Even the SF Ben Salary Survey landed on something similar. As the BA role shifts from “requirements manager” to “human-AI orchestrator”, embracing criticality is one of the clearest paths to staying relevant and moving up.
In other words, the more building AI does, the more judgment falls on your shoulders.
A Simple Request
Let’s use an example of a scenario where critical thinking comes in handy.
Say, a stakeholder from Sales Ops reaches out to you with a request to automatically approve any discount under 15% without needing any manager sign-off. Most of those get approved anyway, and the usual approval steps are just slowing down lower-value deals.
The usual response is simply to build it. After all, you can do it with native features, and nothing fancy is required to execute it. The request is fairly simple, too. However, if you sit with it for a bit longer, some questions may pop up:
- “Most get approved anyway”…based on what, exactly? If there’s no approval history to base this info on, how are we so sure that this is true across all products? What if it only applies to a specific product type, or region, etc.?
- What are we removing here? Is it simply a check? Is it a bottleneck in the process? Manager approval sits in the workflow for good reason. It involves a person signing off on the discount, meaning they’re there to relay context such as a customer who may already be on a different pricing plan, or a deal that’s part of a larger negotiation, a discount that’s technically under threshold but wrong for the account, etc.
- How does this affect how reps make deals? If a rep knows a discount below 15% gets automatically approved, with no manager’s eyes on it, deals may eventually drift towards anything below 15%.
None of these questions were addressed in the initial ask, and while AI may help, they’re almost always designed to build exactly what was asked. Critical thinking will make you ask questions that catch the gap between what was asked for and what might actually happen once it exists.
The above example may involve pulling actual approval data before deciding on a clean discount threshold. It can spark a conversation that takes longer than the build itself, but can actually prevent creating an automation that may negatively impact the business in the long run.
Mindset Shifts to Enhance Your Critical Thinking
It’s easy to nod along and agree to the concept that critical thinking matters, and actually still not know what to do with that on a normal day. So, here are more concrete examples:
- When AI creates a Flow for you, or a set of requirements, code, or practically anything that will touch the org, it’s not enough to just check whether it works as expected or not. It’s more important to check if it’s “right”, meaning right for the business, right for possible edge cases, right for your org’s specific mess of technical debt. AI and Agentforce may be fluent, but you are still the accountable one.
- When a stakeholder asks for something, the reflex to automate is pretty common. But it’s important to ask yourself why. The BAs and admins moving into more senior and more trusted roles are the ones still willing to ask “why do you actually need this?” before even starting a build (even when AI could have it done in ten minutes). This is the same instinct that leads to what Salesforce’s own architecture team now calls “automation density”, which is simply too much automation piling up around a single object or process until nobody can safely touch it anymore.
- When something looks almost right, that’s when critical thinking becomes even more important. Nobody misses the stuff that’s obviously broken, like errors or unexpected outputs that get caught fast. What’s dangerous is the output that looks mostly fine, because that’s usually what’s good enough to slip through into production or a client deliverable. Catching something like that isn’t really a technical skill, but more of a habit. It helps to develop an instinct that says “wait, let me actually look at this”.
Final Thoughts
If critical thinking is now the differentiator, it’s also the thing that can never be totally translated onto your resume. But it doesn’t have to.
It shows up in the decisions you’re trusted to make without someone checking your work, or when they want you in the room when something goes sideways in a project. Not because you know how to configure Salesforce features with your eyes closed, but because you ask the right question before anyone else does.
Critical thinking isn’t something that needs to be taught separately. All this time, it can be baked into doing your everyday job. Now that AI has taken over the doing, the thinking is what’s left standing.
Which, if you’re reading this and wondering whether your years of experience still count for something in what’s looking to be an agent-first world, they do. Possibly even more than they ever did.
