A perspective from Karl Van Buren, CEO and Co-Founder of Audyence.
I've come to believe the distinction between execution and trust decides where a marketing team should spend the time AI is about to hand back. And most of the conversation about AI misses it.
Ask ten people what AI means for their business and you get every answer on the spectrum. The doomer thinks it ends badly. The human exceptionalist believes judgment, taste, and trust stay ours forever. The accelerationist wants to floor it. The centrist says it changes everything and nothing, depending on where you point it.
For those of us who generate demand for a living, the good-or-bad debate is the wrong argument. The useful question is narrower: what does AI actually change about how buyers become customers, and what does it leave exactly as it was?
You can use AI to accelerate the work that earns trust. You cannot automate the trust itself.
A lead isn't just contact info, and one lead isn't revenue
Too many people believe a lead is contact information. It isn't. A lead is someone who engaged with your content and opted in to hear from you. Anything less is contact data.
And leads do not equal revenue. B2B buyers do not decide on one or two engagements. Revenue comes from a buying group, not an individual. A single engaged person is a great signal. It is not the sale.
The job of demand generation is not generating contacts. It is generating movement: carrying a buying group forward, stage by stage.
When a demand engine scales too fast, it does not break at the top of the funnel. It breaks in the system underneath, when one-touch leads get pushed to sales too early. The best sellers do not swing at every pitch. Marketing's job is to hand them warmer opportunities, not more of them.
This matters more than most teams account for, because at any given moment almost none of your buyers are shopping. The research the LinkedIn B2B Institute did with the Ehrenberg-Bass Institute puts it plainly: 95% of your potential buyers aren't ready to buy today. Search and retargeting harvest the 5% who have already decided. Demand creation is the work of moving the other 95%, long before they are ready to buy.
Content is still king. And now more than ever, distribution is queen.
AI can generate infinite content. That does not make content less valuable. It makes genuine engagement the scarce thing, because engagement is what earns attention, credibility, and trust. And great content earns nothing if no one engages with it.
The buyers are telling us this plainly. In the 2024 Edelman-LinkedIn B2B Thought Leadership Impact Report, 86% of decision-makers said they would be likely to invite a consistent thought-leadership vendor into an RFP. Only 38% of the people producing that content expect it to have that effect.
Most vendors are not listening.
There is also now a second reader, and it is not human. AI answer engines have become the front door to discovery, and they learn about you from everywhere except your own site first. Muck Rack's December 2025 "What Is AI Reading?" study found that 82% of the links cited by AI answer engines come from earned, third-party media, not brands' own sites. 94% come from non-paid media overall.
The old instinct was to pull everything behind your own gate and your own domain. The new reality rewards the opposite. Content earns trust out in the open, with humans and with the systems humans now ask for answers. That is why this point of view is ungated.
AI optimizes execution. Marketing shapes behavior.
Losing the execution layer to automation should not frighten anyone. Execution is the drag. As AI compresses the gap between signal and action, execution becomes commoditized and available to everyone, so the differentiator moves upstream: strategy, positioning, and the quality of your data.
Brand and demand are not a trade-off, either. Paid demand only works at scale because of brand trust. They are the yin and the yang.
Software is crossing from storing what happened, and advising you on it, to executing on it. The marketer sets the objective, the audience, the guardrails, and the budget, and stays accountable for the outcome. The judgment about what outcome is worth pursuing stays human. That is the part that stays.
The movement to a system of action
Today, B2B demand generation marketers start campaigns by defining the right ingredients. Which accounts should we target? Which channels should we use? Which assets should we promote? How much should we invest in each channel? These are the right strategic and tactical questions. They keep campaigns targeted and drive qualified leads back into internal nurture programs before anything reaches the sales organization.
At Audyence, we are moving to a system of action. Our vision is an autonomous engine for B2B demand, and we are building elements of it right now. I believe every enterprise B2B marketer should be able to describe the business outcome they want, through whichever medium they want. Then a programmatic system of action, built with AI-native technology, orchestrates everything needed to achieve it.
With this approach, the marketer's starting point gets much closer to a sentence like this:
"Hey Audyence, access my content portfolio and choose the best assets promoting my AI-powered automation suite to C-suite and VP-level operations, finance, and tech executives at accounts within my TAL #3. Choose the top 30 best-fit publications, pay no more than $25 per lead, and cap my spend at $10K per week. Continuously optimize for performance until I've generated $5M in forecasted pipeline."
The path there runs in four stages:
- Fix content syndication. An enterprise-grade programmatic ecosystem for buying and selling content syndication.
- System of action. Make it AI-native, moving from systems of record to an autonomous system of action.
- Horizontalize. Every demand-gen channel becomes executable on a CPL basis with Audyence.
- Fully autonomous. Own the operating layer. Marketers define outcomes. The technology decides channels, publishers, audiences, creative, and budgets.
Humans supervise. That part does not change.
We have seen this movie before
For twenty years, B2B demand generation looked a lot like display advertising did around the year 2000. Ad networks acted as brokers, reselling publisher inventory with no transparency. Campaigns were planned on spreadsheets and negotiated over email. Everyone was buying someone else's product through a middleman and paying for the privilege.
Then programmatic technology transformed that entire landscape. Content syndication and B2B demand never got their version of that transformation.
That is the bet behind Audyence: to bring programmatic speed, transparency, and control to how B2B demand is bought and sold. It is why we built B2B's first and only programmatic marketplace for cost-per-lead inventory.
The efficiency is real:
15x faster to launch a program, roughly 48 hours versus about six weeks.
Up to 47% of a cost-per-lead is waste: manual work, commissions, and markups.
But the efficiency was never the whole point. The reason to pay attention now is the shift underneath all of it. AI is handing back the time we used to spend on execution. What we do with that time, the trust we build, the buyers we move, the relationships we earn in the open, is still entirely, irreducibly human.
That is the work. AI just lets us get to it faster.
Let's build.
Download the full PDF: The Future of AI in B2B Demand Generation →
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