Salesforce professionals are tacitly expected to continuously learn and keep up to date with all the changes in the ecosystem and the wider tech world. New clouds, new certifications, new release cycles, and now, a new wave of AI-powered products, all reshaping what it means to build a career in the ecosystem.
But according to Gartner, the challenge many companies face now is bigger than just teaching employees how to use new tools. The research firm predicts that while AI will begin creating more jobs than it eliminates from 2028 onward, it will also disrupt millions of traditional career pathways in the process.
This underlying tension is already starting to be felt across the ecosystem. More businesses are experimenting with Agentforce, copilots, Data 360, and AI-driven automation, which has led to expectations around Salesforce roles changing (or evolving) quickly. Admins are being asked to think more strategically, consultants are being pushed toward AI-enabled delivery models, and technical teams are under pressure to move faster while managing increasing complexity.
Salesforce has invested heavily in AI training and certs, but are companies proactively building the skills needed for this next era of work, or are professionals being left to upskill on their own?
AI Is Changing How Salesforce Careers Develop
The report from Gartner claims that AI is completely changing how careers are starting to be built. And in the Salesforce ecosystem, those changes are already taking place, especially for people trying to break into the industry.
For a long time, the Salesforce career path may have felt fairly straightforward. You might start in a junior admin or support role, learn basics, and gradually find yourself moving up, whether that’s through consulting, architecture, or leadership. Yet, according to Tunde Mosaku, Chief Strategy Officer at PhiX Technologies, that route is becoming less reliable.
“The traditional route of becoming an admin and finding an entry-level role has almost slowly disappeared,” he said. “It used to be enough to just learn the Salesforce technology. Right now, you have to do a bit more than that.”
This lines up with Gartner’s warning that AI could reduce some entry-level work people have traditionally relied on to build experience. In essence, many of the tasks admins once took care of – whether it’s documenting, reporting, or research – have now been sped up or handled by AI tools.
Tunde’s view is that the real question is then this: “Now that I have that answer, what do I do with the time that has been created?”
In other words, if AI can help someone complete a task in 30 minutes that usually would have taken two weeks, then the value of time will shift. It becomes less about simply getting work done and more about knowing what to do next and how to use that time in a more meaningful way.
This obviously doesn’t dilute the need for technical skills, but it does mean that other skills are becoming much more important. Sarah Kelleher, CEO of Nebula Consulting, believes that learning agility is now one of the most important qualities for Salesforce professionals to develop.
“The people who can switch tack and pick something up quickly and apply it quickly, regardless of how technically strong they are, are the people who are faring better,” she detailed.
Sarah went on to make an interesting point about how AI changes the way people work. In her view, many Salesforce professionals are effectively becoming managers of “digital labor”.
She said: “Everyone becomes a manager overnight if you’re having to delegate your work to effectively a digital workforce.”
Sarah compared it to leadership within engineering teams, stating:
“It’s similar to how the head of engineering is not always the best developer. In fact, they might not be the strongest developer at all, because it’s a completely different skill set. Your best developer will not necessarily become your best head of engineering either.
“The same applies here. The people who can manage digital labor, understand when to delegate tasks to AI, and know which tools are right for which jobs – those skills are becoming more important. That’s more of a management skill than a purely technical one, and I don’t think the ecosystem has fully adjusted its skills development to recognize that yet.”
“Salesforce Themselves Can’t Even Really Keep Up With It”
At the same time, a lot of businesses are still trying to work out how quickly they can realistically adapt. Chris Hyde, SVP at Validity, said the companies seeing the best results are not necessarily the ones trying to replace employees with AI as quickly as possible, but the ones using AI to make existing teams more effective.
“The most immediate impact has not been wholesale replacement of roles, but a significant increase in capability and output from existing teams,” he explained. “Work that previously took hours or even days can now take minutes.”
Chris mentioned that this is already impacting how customer-facing teams operate, particularly as AI takes over research and administrative work, as Tunde mentioned earlier.
“We are seeing sales and customer-facing teams become drastically more effective when AI handles research, summarization, preparation and certain administrative tasks in the background,” he said. “Instead of spending valuable time gathering information across systems, people can focus on the quality of the conversation and the customer relationship.”
But even with these obvious productivity gains, there is still a growing sense that the ecosystem is struggling to keep up with the speed of change. Sarah pointed out that Salesforce itself is releasing AI functionality so quickly that even partners and customers are struggling to keep up.
“Salesforce themselves can’t even really keep up with it,” she said. “So we can’t keep up with it, which means customers can’t keep up with it.”
Still, Tunde believes the pressure on companies to evolve will only increase as customers begin expecting AI-enabled thinking from Salesforce partners and consultancies.
“Customers will start asking: where is the agentic solution in this?” he said.
And while the ecosystem may still be figuring out exactly what AI-powered work looks like in practice, Chris believes the companies that succeed will ultimately be the ones that focus less on replacing people and more on helping them evolve alongside the technology.
“The winners over the next few years will not simply be the companies that deploy the most AI,” he said. “They will be the companies that invest most effectively in helping their people evolve alongside it.”
Final Thoughts
AI may not be coming for every Salesforce job, but it is definitely coming for the old rulebook. The days of simply learning the platform, collecting certs, and moving neatly up the ladder may be changing.
That does not have to be a bad thing, however. If AI can take care of some of the repetitive work, Salesforce professionals may have more time to focus on judgment, creativity, customer relationships, and bigger strategic problems.
But that only really works if companies start adapting. Upskilling shouldn’t be left to motivated individuals in their spare time, and the winners will be the companies that treat AI learning as part of everyday work.
