Buyer confidence
Why more information does not equal clearer decisions.
The Judgment Advantage
How Go-to-market teams combine human expertise and trusted AI to execute with precision in the moments that matter.
The true advantage is human judgment
The hype says AI is the next advantage in go-to-market (GTM). It's not that simple. When a buyer's question reveals a deeper concern or a customer's priorities change, a seller must judge what matters and decide how to respond. Trusted AI helps them prepare, but their judgment determines whether they make the winning move.
Together, Seismic and Harvard Business Review Analytic Services report examine why human guidance matters most in complex buying, and what GTM teams need to turn AI's productivity gains into better revenue execution. The research explores:
Human judgment
How human expertise helps buying groups move forward.
Revenue execution
How teams can move beyond AI productivity gains to real performance.
More information doesn’t mean more confidence
83%
say AI has significantly increased their access to information
50%
feel most skeptical of vendor claims during initial outreach or a pitch
75%
say they trust human guidance more when it conflicts with AI-generated content
The new GTM standard for B2B selling
Buyers enter enterprise purchase decisions with more information and a wider group of stakeholders, each able to question a different part of the business case. They may also move forward while doubts remain. The seller’s role is to interpret what is relevant, address concerns across the group, and help buyers make a decision they believe in.
AI has made information abundant
Buyers can compare options and test claims before speaking to a seller. Sellers need to help them interpret which information applies to their business.
Human guidance still carries weight
Buyers trust and value sellers who can make sense of the options, apply them to the business, and stand behind the recommendation.
More stakeholders shape the decision
Stakeholders from IT, finance, and legal are increasingly involved in the deal process. Sellers need to understand what each person needs to support the decision.
Give your sellers the judgment advantage
Latest research on why GTM teams must combine human expertise with trusted AI to win complex deals.
Unlock AI's Revenue Potential
Buyers need sellers who can interpret their situation and help them move forward. GTM leaders face the next question: how do you help more sellers provide that guidance consistently?
AI is helping revenue teams work faster, but productivity alone does not guarantee better outcomes. Turning that capacity into stronger execution takes human judgment, supported by trusted information, relevant guidance, and clear controls.
Closing the gap between efficiency and revenue
Revenue teams are using AI to work faster. In the 2026 report by Harvard Business Review Analytic Services sponsored by Seismic, 52% of respondents whose organizations use AI for revenue-generating activities report more efficient processes, while only 11% report increased revenue or new revenue streams.
The opportunity is to help GTM teams apply those productivity gains in human decisions and interactions that shape revenue performance.
What does the Judgment Advantage mean for you?
The opportunity looks different depending on where you sit. Explore what elevating human expertise with trusted AI means for the priorities, decisions and moments that matter most to your role.
Revenue Leadership
Make strong seller judgment a team capability, helping more sellers move complex deals forward with confidence.
IT Leadership
Build where you differentiate and buy proven capabilities that support trusted execution at scale.
Enablement Leadership
Develop seller judgment through learning and coaching, then help them apply it in the moments that matter.
Marketing Leadership
Equip sellers with a clear message and credible evidence they can apply to every buying group’s questions.
RevOps Leadership
Connect trusted information and guidance across workflows so teams execute consistently and leaders can see what drives results.
Finance Leader
Evaluate AI investments against a clear business case, with evidence of value, compliance and a path to measurable results.
