Monday.com says AI is reshaping B2B sales, and reps must adapt
AI is shifting B2B selling from product pitching to decision orchestration. For monday.com teams, the edge now comes from trust, timing, and workflow intelligence.

B2B selling is becoming a judgment job, not a demo job
Nearly seven in 10 B2B buyers now prefer to validate AI-generated insights with sales reps, even as many want a mostly rep-free buying path. That split tells managers everything they need to know: the sales role is not disappearing, but it is changing shape fast. For monday.com teams, the old motion of leading with feature lists and hoping a buyer needs hand-holding is losing ground to a model built around context, timing, and trust.

monday.com’s sales trends guide makes the point plainly: the shifts shaping 2026 are not incremental. AI agents are starting to sit inside daily workflows, digital sales rooms are replacing scattered email threads, predictive analytics are moving decisions earlier in the cycle, and buyers are doing more of their own homework before they ever talk to a rep. The rep who once controlled the flow of information is now expected to understand the customer’s workflow and help shape a decision the buyer has already partially made.
Why the old 2022 playbook is running out of road
The biggest mistake sales leaders can make is assuming this is just a better-tech version of the same job. It is not. When buyers self-educate, compare options on their own, and arrive with AI-assisted summaries in hand, they do not need another generic pitch. They need someone who can test the assumptions, spot the gaps, and explain what the software should do inside their actual process.
That is where the shift from gatekeeper to advisor matters. A rep who only controls access to information has less leverage in a world where information is already everywhere. A rep who can connect product capability to the buyer’s internal workflow, risk points, and decision process becomes more valuable, especially when multiple stakeholders are reviewing the deal at once.
What the numbers say about buyer behavior
The market is already giving managers a warning label. Gartner said in June 2025 that 61% of B2B buyers preferred an overall rep-free buying experience. That sounds like a death knell for sales until you look at the next layer of the data: on May 20, 2026, Gartner said 69% of B2B buyers prefer to validate AI-generated insights with sales reps. In another B2B buying-journey finding, Gartner said 75% of buyers prefer a rep-free experience, but the same research also points to purchase regret as a real outcome of self-service buying.
That tension is the opportunity. Buyers do not want a sales rep inserted too early, too often, or too aggressively. They do want a human checkpoint when the stakes rise, especially if the AI summary they are reviewing needs interpretation. For monday.com sellers, that means the winning behavior is no longer persistence for its own sake. It is judgment, discipline, and the ability to show up at the right moment with the right context.
The new sales stack is more operational, not just more digital
The guide’s most important operational lesson is that modern revenue teams need shared data and consistent processes. AI agents, predictive analytics, and digital sales rooms only work when the underlying inputs are clean and the motion is coordinated. If marketing is feeding one version of the account story, sales is working from another, and customer signals are trapped in disconnected tools, the team will be slower, not smarter.
That matters inside monday.com in a very direct way. The product is built around workflow visibility, so the sales org becomes a proving ground for the broader promise of the platform. If a revenue team can use the system to prioritize accounts, forecast risk, coordinate follow-up, and maintain one shared view of the deal, that is not just a sales efficiency story. It is a live demonstration of how the work OS can reduce fragmentation across the business.
AI is becoming the baseline, not the experiment
Salesforce’s 2024 State of Sales report adds hard evidence to the shift. It found that 83% of sales teams using AI saw revenue growth, compared with 66% of teams without AI. The report drew on 5,500 sales professionals across 27 countries, which makes it a useful benchmark rather than a narrow case study.
For managers, the lesson is not that AI magically fixes a weak team. It is that teams using AI well are building an advantage in how they prioritize, forecast, and respond. That advantage compounds when the systems are already tuned to the customer base and the market, which is exactly what monday.com says teams can achieve if they act now rather than waiting for the new motion to become standard practice.
What reps actually need to do differently
The new job description is less about volume and more about orchestration. Reps still matter, but they need to spend more time stitching together the deal and less time repeating information the buyer can already find on their own. The strongest sellers will be the ones who can interpret signals, guide consensus, and make the path to a decision feel clearer.
That changes the daily work in concrete ways:
- Prepare for buyers who arrive informed, skeptical, and already halfway through their shortlist.
- Use AI and predictive tools to surface risk before it becomes a stalled deal.
- Treat digital sales rooms as the center of the conversation, not an afterthought.
- Work closely with marketing operations so the account story stays consistent across touchpoints.
- Lead with workflow understanding, not just product features.
For monday.com’s product and engineering teams, the message is just as sharp. Buyers now expect context-aware tools that help them prioritize, forecast, and respond, not just log activity. That means the sales org is effectively acting as a test bed for the next generation of work software, where the best tools do not simply record what happened but help teams decide what should happen next.
The advantage goes to teams that adapt before the market forces them to
monday.com’s guide argues that teams that act now will enter 2026 with trained talent, refined processes, and AI systems already calibrated to their customers and markets. That is the structural edge in a market where buyers are more independent but not entirely self-sufficient. If the rep shows up as a guide, a validator, and a judge of fit, the human layer still matters.
The companies that wait will keep selling like it is 2022, when access to a salesperson was still the bottleneck. The market has moved on. The work now is to build a sales motion that is more informed, less fragmented, and better able to earn trust at the exact moment the buyer needs it.
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