AI won’t replace salespeople. It will reshape the organisation around them. The seats going first are the ones that move information: customer support, inbound qualification and a layer of middle management. The people who sell stay, and the bar for them rises.
I’ve spent more than 20 years in B2B sales, closed over $7M at LinkedIn and led a team of about ten in MENA. I think the replacement debate is looking at the wrong seats.
In this article
- The replacement story doesn’t match what revenue leaders expect
- Agents are replacing people at the front door of the sales organisation
- The layer most exposed is the middle of the org chart
- For the reps who stay, AI takes what made average look good
- What do great salespeople do when the arithmetic is free?
- What should sales leaders settle before the org chart does it for them?
Key takeaways
- Most revenue leaders expect sales jobs to change shape. Only 28% expect eliminations.
- Agents are taking the front door of the sales organisation: support and inbound qualification.
- 36% of B2B software companies cut SDR and BDR headcount in a year. Only 19% grew it.
- The middle of the org chart is exposed because much of its job was moving information.
- For the reps who stay, being prepared stops being an edge. Usefulness and judgement take over.
The replacement story doesn’t match what revenue leaders expect
Gong asked 3,048 revenue leaders what AI will do to sales jobs over the next three years. The answers, from its State of Revenue AI 2026 report:
- 43% expect: jobs transform, headcount stays
- 28% expect: jobs are eliminated
- 21% expect: new revenue roles appear
- 8% expect: minimal impact
So 28% see cuts coming. That’s a big number and I wouldn’t wave it away. But most of the people who own a revenue target expect the job to change shape and the headcount to stay.
Buyers are on the same side. Gartner predicts that by 2030, 75% of B2B buyers will prefer sales experiences that prioritise human interaction over AI. In its 2026 survey of 645 buyers, 69% prefer to validate AI-generated insights with a sales rep.
So the selling job survives. The organisation around it is a different matter.
Agents are replacing people at the front door of the sales organisation
Start where the replacement is already visible. Customer support went first. Salesforce’s CEO said in September 2025 that its support team went from 9,000 people to about 5,000, with AI handling roughly half of customer conversations.
Inbound sales is next, and the mechanics are simple. A buyer lands on the site and asks an agent as many questions as they like. The agent answers, qualifies as it goes, and asks for an email to send the deck. Nobody waits for a callback.
Salesforce says its own agents contacted 130,000 leads and created 3,200 opportunities in four months. It’s a vendor reporting on its own product, so read it that way.
The headcount data points the same way. Emergence Capital surveyed more than 560 B2B software companies in April 2025, as reported by SaaStr:
- SDR and BDR teams: 36% of companies cut headcount over 12 months, 44% held it and 19% grew it.
- Account executive teams: 28% of companies grew them and 25% cut them.
- The pattern: the seat that qualifies is shrinking faster than the seat that sells.
This is how I read the path from first question to renewal today:
| Stage | What agents take | What people keep |
|---|---|---|
| Support questions | First answer, most tickets | Exceptions and escalations |
| Inbound enquiries | Answers, qualification, follow-up material | The handover call |
| Outbound prospecting | Research, lists, first drafts | The message a senior buyer reads |
| Discovery to close | Prep and notes | The whole conversation |
| Renewal and growth | Usage signals and reminders | The relationship |
Two cautions. This is very new, and I haven’t found a survey that isolates inbound qualification on its own. And more agents doesn’t mean more productivity: Gartner predicts agents will outnumber sellers 10 to 1 by 2028, and that fewer than 40% of sellers will say agents improved their productivity.
The SDRs who stay will run agents. There will be fewer of them.
The layer most exposed is the middle of the org chart
A lot of sales management was moving information: collecting updates from the field, rolling up the forecast, inspecting the pipeline and passing the coaching back down.
AI now does the moving. It pulls the data from calls and the CRM, shows it to fewer managers in a dashboard, and pushes coaching back to reps through an AI coach.
What the data says so far:
- The prediction: Gartner said in October 2024 that through 2026, 20% of organisations will use AI to flatten their structure, eliminating more than half of current middle management positions.
- The coaching: in Salesforce’s State of Sales 2026, 34% of sales teams with agents already use them for coaching, and 46% of reps say they rarely get feedback on their sales conversations.
- This week: HubSpot announced on 6 October 2026 that it would cut nearly 660 roles, about 7% of its workforce, and reduce management layers. Its CEO wrote that the move is “not driven by AI-related efficiencies”.
I’d take that last line at face value. The direction is the same either way: fewer layers, and decisions closer to the front line.
I built and led a team of about ten in MENA. With today’s tools I think one manager can carry far more than ten, though I haven’t seen a sales-specific survey that proves it yet.
What a manager can’t hand over is hiring, the judgement call on a deal, and the hard conversation. That’s the job now.
For the reps who stay, AI takes what made average look good
For most of my career, a rep could stand out by being diligent. They knew the account before the call. Their notes were clean. The follow-up landed the same afternoon, and the CRM was up to date.
None of that needed talent. It needed discipline, and discipline was rare enough to be an edge.
That edge is going. Gartner predicts that by 2027, 95% of sellers’ research workflows will begin with AI, up from less than 20% in 2024. BCG found in October 2025 that roughly seven in ten sellers already use general AI tools to draft emails and summarise calls.
What every rep now gets for free:
- A briefing on any account in minutes
- Call notes and next steps without typing
- A decent first draft of every email and proposal
- A CRM that fills itself
AI did to commercial work what the calculator did to accounting. The arithmetic got free. The judgement got more valuable. Anyone whose job was the arithmetic has a problem.
When everyone is prepared, being prepared stops being an advantage.
What do great salespeople do when the arithmetic is free?
The best salespeople I’ve worked with were never the most persuasive. They were the most useful. AI widens that gap, because it hands the average rep everything except usefulness.
| The old edge | What AI does to it | The new edge |
|---|---|---|
| Knowing the account | Any rep has the brief | Knowing what this buyer is personally accountable for |
| Fast, tidy follow-up | Drafted in seconds | Saying what the buyer needed to hear |
| A polished pitch | Generated on demand | A point of view the buyer hadn’t considered |
| A clean CRM | Fills itself | A forecast you’ll put your name on |
I closed a $1M global deal at LinkedIn, and what it taught me is that large deals are almost never won on the pitch. They’re won by understanding what the buyer is personally accountable for and making that easier. You won’t find that in a database.
Gartner’s buyer data points the same way. Compared with GenAI, buyers were 39 percentage points more likely to say a sales rep understood their needs, and 32 points more likely to say a rep made them feel confident in the decision.
I started in hospitality in London before I sold anything. Reading a room turned out to be the most transferable skill I have. It’s also the one no tool has offered to do for me.
In the Gulf this is sharper still. When I moved to Dubai in 2012 to help launch LinkedIn in the Middle East, the sequence that worked was relationship first, use case second, procurement third. The relationship is how buying gets done here.
What should sales leaders settle before the org chart does it for them?
Three things, and I don’t have a clean answer to the last one.
- Your hiring profile is out of date: if you still screen for activity and organisation, you’re screening for what the software does.
- Saved time is not better selling: Gartner found AI saves sellers 4.8 hours a week, and 72% of sales organisations report low reinvestment of that time into high-value activities.
- The training ground is disappearing: the SDR seat, and the research and note-taking that came with it, is where reps learned judgement. If agents take both, where do your next account executives come from?
Here’s the part nobody talks about. That third point has no tool attached to it, so nobody is selling a fix. My guess is that coaching has to carry what repetition used to, at the same time as there are fewer managers to do it.
LinkedIn’s Economic Graph team estimates that 59% of sales skills can be augmented by AI. Augmented is the right word. The other 41% is where I’d spend my coaching time.
Frequently asked questions about AI and the future of sales organisations
Will AI replace salespeople?
The selling role stays, and parts of it go. In Gong’s 2026 survey of 3,048 revenue leaders, 43% expect AI to transform sales jobs without reducing headcount and 28% expect job eliminations. Preparation and admin move to AI. Reps whose only edge was diligence are the ones exposed.
Which sales roles are most exposed to AI?
Roles whose main work is moving information: customer support, inbound lead qualification and layers of middle management. In a 2025 Emergence Capital survey of more than 560 B2B software companies, 36% had cut SDR and BDR headcount in a year, while 28% grew their account executive teams.
Will AI replace sales managers?
It thins the layer more than it replaces the role. AI collects field data, builds the forecast view and delivers routine coaching, so each manager can carry more reps. Gartner predicted in 2024 that 20% of organisations would use AI to flatten their structure through 2026. Hiring and deal judgement stay human.
What skills do salespeople need in the age of AI?
Judgement, and the things that build trust: understanding what a buyer is personally accountable for, bringing a point of view, reading the room and standing behind a forecast. Gartner’s 2026 buyer survey found reps beat GenAI by 39 percentage points on understanding buyer needs.
AI is thinning out the seats that moved information around the sale, and raising the bar for the people who make it. Great salespeople are the ones who were useful before the tools arrived.
