Is Insight Selling Still Relevant in the Age of AI?

Is insight selling in the age of AI still relevant?

It is a question many large organizations are trying to understand. The short answer is yes, it is relevant, but it has changed.

For a long time, sellers had an advantage because they had access to information buyers did not. That advantage is disappearing. Today, a buyer can use AI to compare vendors, summarize reviews, analyze competitors, draft requirements, and prepare questions before ever speaking with sales.

So the real question is not, “Do buyers still need salespeople?”

The better question is, “What kind of salesperson is still useful?”

Why Insight Selling in the Age of AI Has Changed

Research points in an interesting direction. Gartner found that many B2B buyers prefer a rep-free buying experience, especially when they are doing early research.

But Gartner also notes that buyers still want seller input when they need contextual intelligence, like deciding whether a solution truly fits their company.

That is the opening for insight selling in the age of AI.

AI can give a buyer information. A good seller helps the buyer interpret it.

For example, imagine a CFO researching a new sales enablement platform. AI can list the top vendors, compare features, and summarize pricing. But it may not know that the company’s real issue is low CRM adoption, weak manager coaching, or poor handoff between marketing and sales.

A strong seller can spot that gap and say:

“The platform matters, but your adoption risk is probably the bigger problem.”

That is insight.

Sellers Are No Longer the Only Source of Truth

McKinsey’s B2B research also shows that buyers now use many channels across the buying journey. They move between websites, email, video calls, self-service tools, and human conversations. McKinsey reports that B2B customers use an average of 10 interaction channels in their buying journey, up from five in 2016.

This means sellers are no longer the only source of truth.

They are one source among many.

And that raises the bar.

A seller who repeats website copy is easy to ignore. A seller who explains the hidden risk, the tradeoff, or the decision pattern the buyer has not considered becomes valuable.

This is also why AI alone will not fix a fragmented growth system. If your sales process, CRM discipline, messaging, and buyer journey are disconnected, AI may simply help buyers see those gaps faster. ALTA has explored this idea further in this perspective on AI and fragmented growth systems.

What Buyers Still Need From Salespeople

Even Forrester’s 2026 buyer research suggests that while gen AI is reshaping buying, human validation still matters because AI answers can feel incomplete or unreliable. Buyers increasingly use AI to discover and evaluate options, but they still rely on trusted people and networks to de-risk decisions.

So no, insight selling is not dead.

It is becoming more demanding.

Buyers do not need a salesperson to repeat what AI, Google, or a vendor website already told them.

They need someone who can help them answer harder questions, such as:

• What problem are we actually solving?

• What risk are we underestimating?

• What decision criteria are missing?

• What will make this fail after purchase?

• What needs to change internally before this investment works?

That is where strong sellers still matter.

The New Role of Insight Selling

The future belongs to sellers who can help buyers think, not just help them shop.

In practical terms, insight selling in the age of AI means sellers must shift from being information providers to interpretation partners.

That requires a different level of preparation.

Sellers need to understand:

• The buyer’s business model

• The internal decision process

• Operational bottlenecks

• Adoption risks

• Change management realities

• The gap between what the buyer asks for and what the business actually needs

For professional services and technology firms, this shift is especially important. Complex services are rarely purchased on features alone.

They are purchased when buyers trust that the provider understands the real business problem.

And that trust is built through relevance, context, and judgment.

ALTA has written about this related challenge in the context of messaging: AI can accelerate content and research, but it cannot fix unclear positioning.

See this article on AI marketing and messaging problems.

How Sales Teams Can Adapt

If sellers want to stay useful, they need to move beyond surface-level product knowledge.

The best sales teams will use AI to prepare faster, but they will not outsource their judgment to it.

A practical approach includes:

• Use AI to research the buyer, market, and competitors.

• Review the buyer’s likely assumptions before the call.

• Identify risks the buyer may not have considered.

• Connect the solution to business outcomes, not just features.

• Challenge the buyer with care, not ego.

• Help the buying team align internally.

AI can make sellers more efficient. But insight makes them more valuable.

This is also where better sales workflows matter. If your team is spending too much time on admin, scattered notes, or inconsistent follow-up, they have less time for strategic buyer conversations.

ALTA’s article on AI workflows for consulting sales and admin reduction explores how firms can create more capacity for higher-value work.

Insight selling is still relevant, but the standard has changed.

Your buyers are more informed. Their options are easier to compare. Their questions are sharper.

Your sales team needs to bring more than information to the conversation.

They need to bring perspective.

ALTA’s Sales Consulting services help professional services and technology firms build stronger sales processes, improve business development effectiveness, and equip teams to sell with more clarity, relevance, and confidence.

The question for leaders is simple:

Is your sales team helping buyers think more clearly, or only helping them shop faster?