The new way to make money in 2026 The Luke Belmar Guide

Business-focused summary (strategy, operations, leadership, marketing)

Core strategy: build a business that scales beyond the founder

• Luke highlights a key scaling shift: moving from “I do everything myself” to a structured hierarchy.
• He argues that scaling isn’t primarily about hiring more people—it’s about high-quality teams so customer needs and questions don’t bottleneck at the founder.
• Operational transparency:
  • Revenue is tracked per team and shown openly in the office.
  • Bonuses are explicitly tied to profits, creating measurable accountability.

Organizational playbook (implied operating system)

• Team-based structure: split the agency into multiple teams.
• Revenue ownership by team: each team’s performance is tracked.
• Office-wide visibility: KPI dashboards are visibly shared to reinforce incentives.
• Compensation tied to outcomes: bonus system linked to profit (incentive alignment).
• Culture + co-location: despite remote work trends, he emphasizes an on-site “team in one place” culture to improve coordination and maintain company energy.

Go-to-market (GTM): distribution and personal influence > tool/software

• In the AI era, Luke argues that AI can reduce the cost of creating teams/products by ~90%, making differentiation harder and faster to copy.
• As a result, he emphasizes distribution + personal brand + influence as more durable advantages—things AI “cannot replace.”
• He warns against building around a tool that can be replicated quickly, noting that “a surge of apps” doesn’t necessarily produce real business value.

Service vs SaaS: shift toward “end results,” use AI as foundation

Luke shares an internal case study about moving from software toward services:

• Background: history of a SaaS product (bookerinfluence.com) plus an agency arm.
• Reported outcome gap:
  • SaaS subscriptions: up to ~$1,000/month
  • Agency deals: clients spending ~$40,000–$50,000 per deal, sometimes ~$100,000–$300,000
• Conclusion: value accrues more to done-for-you execution (services), while AI becomes the delivery foundation.

Marketing & sales tactics: leverage others’ audiences and relationships

• Recommendation: “invite people who give you more reach” (e.g., distribution partnerships, guesting, access to larger attention pools).
• Advice: become recognizable—people don’t buy until they know who you are.
• Additional emphasis:
  • Use relationships (friendship/hospitality/networking) as a growth engine.
  • Luke frames this as “superpower is hospitality,” leading to trust → money/business.

Team incentives under AI: productivity benchmarking changes expectations

• Luke claims AI shifts compensation logic:
  • Employees ask: “Am I productive?”
  • The criterion becomes whether AI makes them more productive—not just seniority or effort.
• He notes that some companies incentivize employees based on active AI usage, so raises/pay can be tied to leveraging AI effectively.

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Frameworks / concepts referenced (business-relevant)

• Influence (Robert Cialdini): influence defined as the ability to persuade.
• Service vs consumption: value created through giving (framed as “Hell vs Heaven”).
• Abundance mindset: motivational psychology framed as improving persistence and effort (linked to giving/charity).
• “River vs swamp” abundance metaphor: flow/renewal vs stagnation/rot—used as a principle for sustainable wealth and behavior.

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Key metrics & quantitative claims (as stated)

• AI impact: reduces the cost of creating team + product by ~90%.
• Office transparency:
  • Teams track revenue and it’s displayed to everyone.
  • Bonuses tied to profits (no numeric profit target stated).
• SaaS vs agency case study:
  • SaaS: ~$1,000/month max
  • Agency: $40k–$50k per deal, sometimes $100k–$300k
• AI tool market valuation expectation:
  • References a belief that certain AI notes/meeting products could reach “a billion” valuation (presented as an example-level claim).
• Charity ROI study (business-mindset example):
  • “For every dollar donated, you get at least $1.13 back” (reported research figure used to explain motivation/returns).

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Actionable recommendations extracted

• Rebuild operations to avoid being the bottleneck:
  • Create a hierarchy and define team ownership.
  • Track team revenue and make it visible.
• Align incentives:
  • Tie bonuses to profit, not activity.
• Choose a defensible GTM in an AI-saturated market:
  • Prioritize distribution, personal brand, influence.
• Shift toward services when tools get commoditized:
  • Use AI to accelerate delivery, but sell the outcome.
• Accelerate reach via partnerships:
  • Bring in guests/people with larger audiences.
• Grow via trust networks:
  • Relationships/hospitality and consistency drive business more than purely “marketing.”

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High-level investing/market notes (kept brief)

• AI doesn’t replace humans; as markets oversaturate, competitive advantage shifts toward authentic human relationships.
• On crypto: described as currently noisy due to low-quality actors/manipulation; expects durable components like Bitcoin and stablecoins (e.g., USDT) to persist, emphasizing real value over hype.

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Presenters / sources

• Presenter / speaker: Luke Belmar
• Other sources/mentioned figures: Robert Cialdini (The Psychology of Influence), Alex Hormozi, Anthropic, OpenAI, Jeff Bezos, Mark Zuckerberg, Jeff Paul (mentioned), Tony Robbins, Gemini (Google), WorldCoin (Sam Altman referenced), Jesus (religious framing), Tony Robbins’ robot-dog story (via Moltbot reference), Nate (biohacker referenced), Andrew (Bucharest trip referenced).