The New Way of Making Content In The Age of AI
In a Nutshell
In the age of AI, low-risk entertainment and educational content will be commoditized first, so creators must move toward high-stakes B2B and money-related topics where real-world proof is required. To stay ahead, deliberately engineer and publicly document proof loops—such as live client results, sales calls, or customer installations—directly inside existing business operations rather than manufacturing content separately. The winning strategy is to treat proof (third-party validation plus real-time demonstration) as the core product, making it increasingly difficult for AI avatars to replicate credibility at scale.
These notes were generated by AI and may contain inaccuracies.
21,393,122 followers across all platforms for Leila, Chiron, and the ACQ brands. The focus is on building a personal brand in 2026 by leveraging AI but more importantly in spite of AI, proving oneself as someone people will want to listen to.
Creators sit on a continuum from low risk to high risk. The position depends on what is being asked of the consumer. A meme or stand-up comedy clip carries only the risk of time spent consuming it. The product is self-contained; if the viewer laughs, value has already been delivered and the cycle is complete. These are defined as entertainers.
Entertainment is defined as content whose objective is to be consumed. A perfect retention curve where 100% of people watch 100% of a video would go ultra viral, yet nothing happens after consumption—the viewer has simply been entertained.
The next point on the continuum is the B2C educator. Education aims to change behavior. Children are sent to school so they learn to read, write, speak, or do math—not so they act the same. Stakes are significantly lower for B2C educators. Examples include hair tutorials, makeup tutorials, fitness and diet advice, or relationship advice. If a diet does not work well or lash extensions fail, it is not the end of the world.
These creators can still drive sales. Huda Beauty built an empire on this model. Credibility came from demonstrating the product live, showing before-and-after results in real time, allowing viewers to assess risk and decide to purchase.
AI is best suited to interrupt the low-risk side of the continuum. An AI avatar giving lash or hair tips can still be listened to if the advice appears sensible, because the stakes are low. As stakes increase along the continuum, consumers become less willing to listen without demonstrable third-party proof.
The middle tier is B2Proumer content, particularly money-related topics such as savings and investing. Risk is higher than with hair or diet advice. Top creators in this space include Erica Taught Me, an attorney whose credibility stems from real-world legal expertise in disputes and refunds; Vivian 2, who came from finance and Wall Street; and Dave Ramsey, whose credibility rests on long-term business success.
Creators with zero proof exist but are rarely the biggest because listening to their advice carries more risk than listening to someone with visible proof.
B2B creators occupy the higher-risk end. The speaker places much of their own content in this category. Mentioning 20 million-plus followers provides credibility that an AI could replicate if the AI itself had large followings. However, when an AI advises on building a business, trust decreases until AIs have built gigantic companies with no human involvement.
Proof and demonstration serve as signals that decrease the listener's personal risk. Between two people giving identical advice on scaling a sales team—one who has never sold anything and one who has built ten sales teams—people will follow the person with real-world experience by a large margin. This is why Elon Musk is the number one business influencer: he is the richest man in the world.
It will be increasingly difficult for AI to create the proof required for B2B and higher-risk content.
To build a brand when AI can duplicate anything, focus on proof and demonstration. The further toward the high-risk end of the continuum, the safer the position in the short to medium term.
Accomplishments can be mentioned once (selling a company, scaling to $250 million revenue). Real-time demonstration is far harder to fake. AI may eventually take calls, possibly by the end of the current year, but the immediate strategy is to engineer proof within existing business motions.
Instead of manufacturing stories, transcribe virtual meetings and use AI to extract interesting moments. This supplies real examples rather than invented ones, moving further along the proof spectrum.
Bake components of proof directly into customer service and delivery processes. Example: selling hair extensions with sweepstakes or lottery tickets inside packaging creates a marketing motion. Winners are called in person, invited to salons for installation, generating a self-reinforcing loop of sales, marketing, and more customers.
The same principle applies in B2B. A marketing agency can bring customers into campaign walkthroughs and show results. Even small agencies should document audits for all customers. If customer volume is low, perform audits for free publicly and document the work.
AI will disrupt lowest-risk content first, moving toward higher-risk content. In the meantime, demonstrate expertise and product/service quality in front of customers, document the process, and make the documentation public when customer volume is insufficient. This approach keeps creators ahead of AI-generated avatar content because proof is difficult to replicate.
The speaker's public content strategy is live and interactive. Two types of content will increase: capturing proof while delivering value rather than creating content as a separate activity. Q&A sessions with business owners at events and calls with members of the newly launched million-dollar-plus community are examples of feeding the proof machine without extra time.
Proof consists of two parts:
- Third-party validation: exits, revenue, headcount, number of companies
- Real-time demonstration: visible use of expertise or physical demonstration of products
Even product businesses can demonstrate value physically. The key is creating opportunities—running limited giveaways, emailing lists, or visiting the few existing customers—to generate demonstrable proof. It requires work, but that is the requirement for winning.
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