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Written by: Scott Rogerson
I've been thinking about a question that comes up in almost every conversation I have.
"Why can't AI just do that?"
Most of the time, it can.
I use AI every day. It helps me organize ideas, summarize information, prepare for meetings, and accelerate work that used to take much longer. It certainly helped me turn multiple incoherent streams of consciousness into something (hopefully) digestible.
Every business should be exploring where AI creates value.
Over the last year, I've noticed another trend.
As AI makes it easier to create information, human judgment becomes more valuable.
Professionals build trust by helping people understand what matters. They strengthen relationships by consistently sharing ideas, perspectives, and information that help someone make better decisions.
That process depends on judgment, not being a gatekeeper to information.
It depends on understanding an audience, recognizing context, and deciding what deserves someone's attention.
Those decisions compound over months and years.
They shape reputations.
They create trust.
They open doors to conversations that eventually become business relationships.
People remember the professionals who consistently create value.
Sometimes that value comes from original thought leadership.
Sometimes it comes from introducing someone to an article, a research report, or a local story they wouldn't have found on their own.
The recommendation reflects the judgment of the person sharing it.
That observation has become even more interesting as AI has matured.
Organizations have invested heavily in managing their own knowledge.
- Sales playbooks.
- Marketing assets.
- Research.
- Presentations.
- Internal documentation.
AI is making those resources dramatically easier to search and use.
External information follows a very different path.
Every day, hundreds of thousands of articles, research reports, market updates, regulatory filings, and local stories are published by hundreds of thousands of organizations.
Every publisher has different licensing terms.
Different technology.
Different editorial standards.
Different business models.
Every enterprise has different compliance requirements, brand standards, audiences, and business objectives.
The recommendation that reaches a customer depends on all of those factors.
That's where I believe the next challenge in enterprise AI is emerging.
Every AI model can generate recommendations.
Organizations decide which recommendations become customer interactions.
That decision depends on rights, compliance, audience fit, trust, historical performance, and business context.
Those are judgment problems.
I started my career in Internal Audit, and I’ll never forget the first lesson in the first training class.
“Why do racecars have brakes?”
Many hands went up, people wiggling in their seats to make a great first impression.
“To slow down.”
“No. So they can go fast.”
AI is the engine. It makes everything move faster.
But as speed increases, control becomes more important.
Brakes aren't what make a car exciting, but without them, you can't safely go anywhere.
In enterprise AI, governance plays that role.
It ensures that what gets delivered to a customer is appropriate, compliant, relevant, and trustworthy.
Over the last eight years, we've built technology around that challenge because we believe thoughtful recommendations create stronger relationships.
Along the way, we discovered something.
Professionals who consistently shared relevant external content became better communicators overall.
Among thousands of financial professionals whose activity we could track, those who incorporated trusted third-party content into their engagement strategy communicated with their clients/audiences nearly three times as often, generated 89% more clicks on shared content, and produced 37% more audience interactions.
They also shared 50% more firm-authored content, and those firm-created posts generated 15% more clicks and 10% more interactions than comparable professionals who relied primarily on internal content.
Those numbers underpinned the way we think about customer engagement.
Consistently delivering relevant information encourages more conversations.
More conversations create more opportunities to demonstrate expertise.
More expertise strengthens relationships.
Even firm-created content performs better when it becomes part of a broader pattern of helping people stay informed.
The same shift is happening on the publisher side.
For years, the web functioned as an open ecosystem.
Today, publishers are rapidly changing how their content can be accessed in response to AI.
That reaction makes sense.
High-quality journalism, research, and analysis require sustainable business models.
Publishers deserve to control how their work is accessed and monetized.
Organizations also depend on trusted external information to educate customers, support advisors, and help professionals stay relevant.
Connecting those two worlds requires infrastructure that respects both.
It requires systems that understand licensing, publisher policies, compliance rules, audience relevance, performance data, and business objectives before a recommendation ever reaches a customer.
I believe this will become one of the defining layers of enterprise AI.
As AI moves from assistant to agent, organizations will increasingly focus on the quality of the judgment surrounding every recommendation.
The companies that consistently apply judgment to AI-assisted decisions will create stronger customer relationships because every interaction reflects relevance, trust, and context.
That's the problem we've been singularly focused on solving at UpContent.
We help organizations transform the world's external information into recommendations that support meaningful, measurable conversations between professionals and the people they serve.
I've become increasingly convinced that AI will continue to accelerate the creation of information.
I also believe human judgment will continue to determine which information earns someone's attention.
Technology keeps getting faster.
Trust still compounds one thoughtful interaction at a time.
I'm curious how others are seeing this.
Has AI increased the value of human judgment in your industry?
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