Why You Should Give Away All Your Workflows
· Summarized
Key takeaways
- Giving away AI workflows, reports, templates, and bots can build mindshare and convert a smaller group of users into paid implementation and service customers.
- Companies should understand their AI cost ceiling before making usage unlimited, even though falling inference costs make free tools more affordable.
- Large AI infrastructure investments may be rational strategic bets despite uncertain returns because falling behind competitors could threaten the business.
- Strong security basics include unique passwords managed by a password manager, passkeys where possible, and two-factor authentication for important systems.
- After a security incident, transparent disclosure about the breach and its impact is better for trust than trying to hide it.
Summary
HighLevel bets on free AI despite unlimited costs
Eric says HighLevel CEO Sean told him the company was “giving AI for free,” arguing that businesses should do what is best for customers even when they must absorb the expense. Eric sees this as unusually bold because a company with many users cannot easily predict the cost of unlimited token usage. Neil agrees that funded companies usually make expensive-looking bets only when the expense is bounded; Eric says HighLevel’s decision is riskier because its cost ceiling is unknown.
Why Eric wants to give away workflows and bots
Eric describes a debate with a new managing director and his CTO over whether their agentic workflows should be protected as intellectual property. He argued that anything built now may be outdated within three to six months, so the company should give away workflows, AI-visibility reports, templates, and bots to build mindshare. Most users will use them themselves, but a smaller group will pay for implementation. Their bots also connect to the SingleBrain gateway, creating a path to paid services and workflow support.
AI costs are falling, but compute hardware is getting expensive
Eric says an AI-visibility report that might once have cost $1, $2, or even $10 now costs about 18 cents, so 10,000 free reports would cost roughly $1,800. Neil warns that unlimited AI usage is dangerous when a company does not know its cost cap. Eric counters that future demand will require more compute and electricity, while hardware prices are already rising: his DGX Spark units went from $4,000 to $8,000. He believes companies are giving AI away now to secure usage before competitors copy them.
Meta and Anthropic are making open-ended infrastructure bets
Eric compares HighLevel’s free-AI decision with much larger infrastructure bets. Meta executive Alexander Wang argued that the company had to invest in data centers even without knowing exactly what the spending would produce; CFO Susan Li repeatedly warned that failure could be very bad for the company, while Mark Zuckerberg accepted the uncertainty. Eric says Anthropic also failed to build data centers aggressively enough and benefited from a SpaceX deal. He considers data-center spending even scarier than HighLevel’s bet.
Only a tiny fraction of workers use AI natively
Using Andrej Karpathy’s example, Eric says only about 0.2% of the world—roughly 20 million people—currently use AI in the intensive way he and Neil do. Of 3.55 billion employed people, he estimates about 6% own companies and only 4% of those employ at least 20 people, leaving roughly 17,000 AI-native firms today. He also cites executive discussions about whether transformation is worthwhile and warns that top talent may leave companies that cannot offer an AI-native environment.
The Scale founder’s bet paid off in cash
Neil jokes that Scale’s founder could tell the CFO not to worry because he had $14.3 billion in company cash, though Eric clarifies that this was not actually said. The reported $14.3–$14.8 billion payment was split among the founder, co-founder, and investors and was paid in cash rather than stock. They agree the founder was already financially comfortable, but Neil distinguishes paper wealth from cash and says being a billionaire is still preferable. Eric links this appetite for risk to founders such as Mark Zuckerberg and Elon Musk, who keep making bets they no longer need to make.
A $14,000 MacBook and a product that markets itself
Eric says a fully loaded new touchscreen MacBook Pro was quoted at $14,000, while a fully loaded Mac Studio with 512 GB of RAM would cost about $21,000; Neil notes the laptop starts at $2,899 and jokes that this is an expensive microphone. They say Apple is marketing to technophiles who want the newest hardware, even though the touchscreen adds little. They then discuss a Chinese glass company whose unbreakable window survived Paris riot attacks; a social post showing chairs and kicks against it generated about 22,000 views and free advertising.
Security advice: use passkeys and be transparent after breaches
Neil says his bullet-resistant home windows cost roughly $200,000–$300,000 extra, because he prioritized protecting his family after protests and riots near Beverly Hills; he declines to explain what other protection he keeps. Eric then reports that a security executive friend is overwhelmed by inquiries after “Black October” hacks. The friend recommends password managers with unique passwords, preferably passkeys, plus strong two-factor authentication. Eric’s marketing advice after a breach is to disclose what happened, who was affected, and what it means; hiding the incident creates more anger when it eventually emerges.
Sponsors
- MP Digital · The host promotes co-host Neil's agency, saying it works with global companies and directing listeners to learn more at the agency's website.
Show notes
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Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire
Neil opens with HighLevel's announcement that it is giving AI away for free, and why so few founders make big, expensive bets like that. Eric argues the bets are getting cheaper: anything you build now is out of date fast, so giving away workflows and bots buys mindshare that turns into service work. They weigh the real risk of not knowing your AI cost cap, rising compute and hardware prices, and Meta's open-ended AI spend. Eric shares why so few people use AI the way Andrej Karpathy describes, and what that means for AI-native firms hiring talent. Then a MacBook Pro quote, a Chinese glass company that got free advertising from the Paris riots, and what Black October's hacks mean for security and passkeys. Free value is still a strong growth lever.
Key takeaways◾Giving AI tools away free can win mindshare that turns into paid work◾Know your AI cost cap before you make usage unlimited◾Being transparent after a security problem builds trust
Chapters00:00 HighLevel gives AI away free02:31 Give your workflows and bots away04:30 AI costs, DGX Spark and Anthropic-SpaceX06:57 Meta's open-ended AI spend07:41 Andrej Karpathy: only 0.2% use AI this way09:08 Scale founder's big bet11:18 MacBook Pro $14K quote13:38 Chinese glass company and the Paris riots15:38 Neil's bulletproof windows17:23 Black October hacks and passkeys18:53 Be transparent when things go wrong
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