💃 The Generalist Strikes Back!🕺

Good morning, Salesforce Nerd!

Three years ago, the ChaCha gave a perspective on the generalist vs specialist paths and landed on a coin flip.

💁 Specialists earned more, faster.

💁 Generalists had a longer runway and a shot at leadership.

No wrong answer, pick your incentive.

That article is now out-of-date, a relic, historical fiction 📜.

ONE TRICK PONY → ONE CLICK PONY

Is AI Replacing Salesforce Specialists?

Baseball teams used to carry a pinch-hit specialist. One job, one skill, do it well, cash the check.

Then the game changed, and today the pinch-hitter isn’t even a roster consideration.

Is Salesforce going through a similar evolution? Agentforce is now (allegedly 🙂) handling roughly 32,000 customer service queries a week internally, and it (allegedly 😃) cut the cases needing a human from 10,000 down to 5,000.

Now point that at your own resource chart. If you have a team for your Sales Cloud, Service Cloud, and Experience Cloud orgs, you might be considering consolidating that into a smaller headcount, with AI as the supplementing resource.

And don’t limit your field of vision to the tech stack and the associated admins, let alone Salesforce.

Product owner, project manager, business analyst, marketing specialist, salesforce admin, sales ops analyst, web dev, QA analyst.

A generalist who uses AI to extend their abilities can cover a surprising amount of bandwidth.

Also, don’t mislabel your current specialist, they may have chosen the expert-path for the financial incentives of being a CPQ or Marketing Cloud specialist, but, with the right incentives, can become an AI-augmented generalist.

But the narrow specialist is going extinct 💀.

THE UTILITY PLAYER JUST GOT PAID

Why Generalist Salesforce Professionals are Pulling Ahead of Specialists

👀 Look at Solution Architects, the ultimate Salesforce utility players who work across Sales, Service, Data Cloud, and whatever else the org bolted on last quarter. They're pulling down an average salary near $190k, roughly double what a single-cloud admin earns.

The market is pricing in exactly what AI can't do-

🧑‍💻 Hold the whole field in your head.

🧑‍💻 Know which product is humming and which needs a serious facelift.

🧑‍💻 Catch the thing that breaks three systems downstream.

AI is a brilliant reliever but it can’t manage the whole bullpen. The person who decides when to bring in Data Cloud, knows the status of 9 different projects, and can waltz into a Sales call and effortlessly demo a solution while making the customer laugh is AI-proof, but also the best resource to be AI-augmented.

A data specialist can tell you when the CRM database functionality is maxed out.

A product owner can reduce the clicks for an oft-used workflow.

A marketing specialist can design a high-conversion email campaign.

But a Generalist can identify each of these, understand the impacts, and influence the business to make good decisions 🙌.

ROSTER REBUILD

Re-Thinking Your Org Chart

This is where it gets real for executives. You used to staff a Salesforce team like a bullpen: one closer, one lefty specialist, one long reliever. Three or four narrow hires, each doing one thing.

AI collapses that roster. One AI-augmented generalist now covers what used to take two or three specialists.

That's fewer heads, higher pay per head, and a different interview.

And an important note about balance- AI can augment an individual’s bandwidth (the breadth of things they can do) and productivity (the count and effectiveness of things they can do), but it does not increase their capacity (the count of hours they can work). Your workers need to eat, sleep, and live their lives.

Finding workers that can thrive in your new org chart require a new line of questioning.

Asking questions like “how many years of CPQ experience do you have?” or “do you have the Service Cloud Consultant certification?” are not going to get you the best generalists.

Your interview questions need to evolve like the technology landscape has -

🗣️“If three different teams all come to you asking to fix or improve their workflows at the same time, how do you decide which one to tackle first? ”

🗣️ “How have you used AI to solve a specialist problem in a scaleable way? How has the way you use AI evolved in the last 6 months?”

🗣️“Tell me about a time you realized a process was over-engineered. How did you strip it back to make it simpler and easier for everyone to follow?”

FINAL THOUGHTS

Takeaway

As an executive, can you answer these questions about your team or interview candidates -

🤔 Do they know one cloud deeply, or does it feel more like a hobby they picked up on one project?

🤔 Can they explain how a change in one cloud ripples into two others, unprompted?

🤔 Do their success stories show that they can orchestrate apps and/or people?

🤔 Are you paying for the hours they can log, or their judgment?

🤔 How does giving them a premium Claude subscription change what they’re able to work on? Does that work cross multiple roles?

Generalists are the clear winners of this era. Don't sleep on your specialists, though, most of them are one incentive away from converting to a generalist.

Effectively seeing the whole field used to take a decade and a scattered resume. AI-augmented generalists compress that timeline.

That's a new kind of player. You need to look for👇

👀 The marketing specialist who keeps asking about the Sales Cloud handoff.

👀 The Sales Cloud admin who fixes Marketing Cloud problems on someone else's project because they're curious, not because it's their job.

👀 The project manager who can run discovery sessions when the business analyst is on vacation.

SOUL FOOD

Today’s Principle

and now....Your Salesforce Memes