Insights · The Growth Coach HK
What Happens to Your Sales Team When Buyers Are Also Using AI?
25 June 2026
Introduction
The conversation about AI in sales has been almost entirely one-sided: how sellers can use AI to be more effective.
Less attention has been paid to the other side of the table.
Buyers are using AI too. And the implications for sales teams across Asia are significant — not in the abstract, but in what specifically changes about what effective selling requires.
Main Insight
B2B buyers with access to AI can now do things that previously required significant time or external help.
They can synthesize information about vendors and solutions faster and more comprehensively than before. The competitive intelligence that previously required multiple vendor conversations, industry analyst reports, and reference calls can now be assembled quickly — which means buyers arrive at conversations with salespeople significantly better-informed than they used to be.
They can generate evaluation frameworks and questions — the specific probes designed to test a vendor's claimed capabilities, identify weaknesses, and compare alternatives — that previously required procurement expertise or significant time investment.
They can analyze proposals and contracts at a level of thoroughness and speed that was not previously feasible for buyers without dedicated legal and commercial support.
What this means for sellers: the information asymmetry that historically favored sellers — knowing more about the solution than the buyer — is eroding. The seller who relied on that asymmetry as a competitive tool needs to recalibrate.
Common Mistakes
One mistake is continuing to lead discovery with category education — explaining the problem space and solution landscape — when the buyer has already done that research. This wastes the time where a seller could be genuinely differentiating.
Another mistake is relying on surface-level rapport as a substitute for specific knowledge of the buyer's situation. As buyers become more informed, the credibility that comes from seeming generally knowledgeable declines. The credibility that comes from understanding this specific company, this specific person's situation, and the specific trade-offs they are navigating becomes more differentiating.
A third mistake is underestimating how much buyers' ability to detect managed responses has improved. AI-informed buyers who have generated their own evaluation questions are often better positioned to recognize when a seller is deflecting or positioning than buyers who depended on the seller to frame the conversation.
Framework: Adapting Sales Capability for AI-Informed Buyers
Recalibrate discovery for informed buyers. The discovery conversation is no longer primarily about educating buyers on the problem space. It is about understanding the buyer's specific context — what is actually happening in their organization, what they have tried, what their internal dynamics are, what success looks like for them personally. This is the discovery AI cannot do for the buyer.
Invest in specific knowledge over category knowledge. The credibility that matters is specific: do you understand my industry, my company, my situation? This requires genuine preparation and genuine curiosity about each buyer's context, not category-level knowledge that AI can provide to anyone.
Lead with honesty on trade-offs. As buyers' ability to detect evasion improves, the sellers who engage honestly with limitations, competitive comparisons, and genuine trade-offs stand out more, not less. Trust becomes more differentiating as buyers' ability to assess trustworthiness improves.
Build the relationship before the AI-generated evaluation questions arrive. The relational foundation established in early interactions determines how the later, more informed buyer scrutiny lands. Sellers who have built genuine trust before the evaluation intensifies navigate that scrutiny differently than those who are still establishing credibility when it arrives.
Practical Lessons
The sales behaviors that AI-informed buyers make less valuable — category knowledge, basic solution explanation, surface-level rapport — were never the most differentiating sales behaviors anyway. They were accessible minimum standards that sometimes substituted for the deeper capabilities that drive commercial performance.
AI-informed buyers are raising the floor on what selling looks like. This is uncomfortable for sellers who relied on the lower floor. It is an opportunity for sellers who were always doing the more sophisticated work — genuine discovery, honest positioning, trust-based commercial relationships.
The sales teams that outperform in an AI-informed buyer environment are the ones that have been building genuine partnerships rather than managing transactions. The disruption is clarifying the value of that approach, not inventing it.
Conclusion
AI is changing the B2B sales environment from both sides of the table simultaneously.
The sellers who adapt best are the ones who treat buyer AI adoption not as a threat to manage but as a signal about what has always mattered most in selling — and an opportunity to do more of it.
FAQs
How does AI affect B2B buyers and sales?
AI-equipped buyers arrive at sales conversations significantly better-informed — having synthesized competitive intelligence, generated evaluation questions, and analyzed proposals at a thoroughness previously unavailable without dedicated support. This erodes the information asymmetry that historically favored sellers and raises the floor on what effective selling looks like.
What should sales teams do differently when buyers are using AI?
Recalibrate discovery toward specific context rather than category education. Invest in specific knowledge of each buyer's situation rather than general category knowledge. Lead with honesty on trade-offs rather than managing the conversation. Build relational trust before the AI-informed evaluation scrutiny intensifies.
Is AI a threat or an opportunity for sales teams?
Both. It raises the floor on what selling looks like, which is uncomfortable for sellers who relied on the lower floor. It is an opportunity for sellers who were always doing the more sophisticated work — genuine discovery, honest positioning, trust-based relationships. AI is clarifying the value of what has always mattered most in effective B2B selling.
This site requires JavaScript for the full experience. Email us or enable JavaScript to continue.