39% of B2B content is now AI-generated. But only 9% of buyers trust it.
Seeing such a gap, it would only be human to blame the technology. After all, 94% of CEOs say they’ll keep investing even if it doesn’t pay off. But your customers don’t know where the blame lies especially when their experience is inauthentic and disconnected. And that’s eroding trust.
This isn’t theoretical. When Air Canada’s AI agent told a customer they could claim a refund, then the company said they couldn’t, the customer sued. The court ruled the company accountable. The lesson wasn’t “never use AI.” It was “you needed human judgment involved”.
Here’s the good news: the trust problem is fixable.
Here’s the bad news: you can’t blame the technology. You have to lead it. As Air Canada shows, the breakdown happened because human judgment was missing altogether. And it’s not enough to simply place a ‘human in the loop’ anymore, you need humans to be elevating the output. They bring critical thinking, craft, and strategic insight that transforms AI-generated work.
Getting it right means designing your AI application with human oversight from the start, that’s what prevents trust erosion and builds credibility.
It’s not about having less AI. It’s about having smarter AI, the kind that’s designed with human judgment woven in from the start.
When you combine AI execution with human judgment, you earn buyer trust. And trust accelerates everything: decisions, deals, relationships.
That’s the combination that wins.
What Closing the Gap Actually Looks Like
1. The internal mindset shift
Your teams need to trust AI before your buyers will and right now, 35% of your people are openly asking “Is my job safe?” And 50% of CEOs believe their job depends on getting AI strategy right. This is where it’s important to be transparent with your teams: “Here’s what changes in your role, here’s what stays, here’s how we support you.”
Here are four core behaviours to shift mindsets internally:
- Competence: Show your people you know what you’re doing with AI. Explain the guardrails, the safeguards, the risks. Confidence comes from understanding.
- Reliability: Commit to supporting them through change and be clear about what might change in three years.
- Alignment: Show you’re acting in their interest. What does upskilling look like? How will AI elevate their work instead of replacing it? How can understanding AI add more valuable?
- Human connection: The teams that move fastest are the ones where someone senior is showing up, answering questions, being curious about what’s hard.
Trailblazer organizations upskill 70% of their workforce and allocate 60% of AI budget to learning. They’re the ones seeing real competitive advantage.
That’s where OLIVER comes in. By embedding human elevators inside your organization, building the mindset shift and upskilling infrastructure that turns AI investment into sustainable advantage.
2. The external reality
In the next five years, will execute most of your marketing strategy, creative, media and optimization.
Right now, your consumers research you through case studies and conversations.
In the (almost immediate) future, they’ll ask an AI agent about you before talking to a human. That agent will fact-check your promises, evaluate your delivery, measure your environmental impact and assess your reliability, in seconds.
What that AI agent says about you will matter more than your website.
So what builds trust? Three things:
- Transparency about how you work. When you’re using AI to build strategy, say so. Buyers respect honesty about process more than perfection masquerading as human work.
- Measurable proof. Replace claims with evidence. Show real outcomes, actual timelines, environmental impact. The CMOs who measure this early will have a massive advantage.
- Humans at the moments that matter. AI generates campaign variations in hours. But judgment about which one resonates with this buyer? Human. The relationship when something goes wrong? Human. The strategic insight that reframes the challenge? Human.
Where you show up signals who you are, 60% of B2B buyers trust you more when they see you in verified environments. But consistency, reliability, and honesty, wherever you show up, is what actually matters.
And that’s exactly how OLIVER builds trust, by amplifying creative thinking with AI rather than replacing it, so distinctive work performs at scale without losing impact.
Measuring trust
Now you’re building trust internally and proving it externally. But how do you know it’s actually working? Start by measuring what matters.
Start by separating trust from trustworthiness. Trust is what customers feel. Trustworthiness is what you build and measure. You can’t control feelings, but you can control delivery.
Track these four pillars across your buyer journey:
- Reliability: Do you consistently do what you say?
- Competence: Can you deliver on your claims?
- Alignment: Are you acting in their interest?
- Data security & ethics: Can they trust you with sensitive information?
Measure where confidence drops: first demo, legal review, implementation? That’s your trust gap. Then measure outcomes: NPS (the gold standard for trust in B2B), shorter cycles, higher close rates, faster implementation, lower churn, referral rates or team retention.
Organizations making trust a board KPI are three times more likely to report stronger profits.
The CMO’s advantage
The CMOs who win over the next five years are the ones who architect trust both inside and out: empowered teams, measurable proof, transparent process, humans deployed where trust gets built
The speed everyone’s chasing isn’t only automation. It’s trust.
Ready to architect trust into your transformation? Let’s talk about embedding it into your operating system.
OLIVER puts the power of generative AI inside the world’s leading brands – inside their brand, cloud, and operating model – so speed, capability, and competitive advantage accrue to them. We combine human talent with outstanding technology to deliver AI-enabled marketing that’s faster, better, and more trusted. Part of Brandtech Group—rated most innovative GenAI marketing company by Fast Company three years running.
