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The 6 Most Profitable AI Businesses to Start in 2026

The 6 Most Profitable AI Businesses to Start in 2026

Dan Martell

193,227 views 7 days ago

Video Summary

This video explores six highly profitable AI-driven businesses that can be started in 2026, emphasizing data-backed opportunities with significant income potential. The businesses range from AI-powered virtual assistants, which leverage demand from high-income individuals seeking to reclaim time, to AI content repurposing services catering to the booming creator economy. Further opportunities include AI implementation and automation agencies for businesses, AI lead generation, managed cybersecurity and MDR services, and responsible AI governance and compliance services. A key insight is that focusing on solving problems for high-income buyers in growing markets, utilizing AI for leverage, is crucial for success. One compelling fact is that the creator economy is projected to jump to $480 billion.

Short Highlights

  • AI-powered virtual assistant business: low startup cost, high income potential ($10k-$20k/month), growing market ($30 billion by 2030).
  • AI content repurposing service: low cost, medium effort, income potential ($10k-$30k/month), targets creator economy ($480 billion projected).
  • AI implementation and automation agency: medium cost and effort, high income potential ($20k-$50k/month), targets SMBs ($249 billion market by 2032).
  • AI lead generation agency: low cost, medium-high effort, high income potential ($30k-$80k/month), leverages AI for outreach and qualification.
  • Managed cybersecurity and MDR: high cost and effort, very high income potential ($40k-$80k/month), growing market ($500.70 billion by 2030).
  • Responsible AI governance and compliance services: medium cost, high effort, highest income potential ($50k-$100k/month), targets large corporations dealing with new regulations.

Key Details

AI-Powered Virtual Assistant Business [00:40]

  • The core value lies in providing time-saving services to busy, high-income individuals by managing tasks like email, scheduling, research, and project automation.
  • Startup costs are low, with AI tools like ChatGPT or Gemini being sufficient.
  • Effort to start is minimal, requiring no specialized skills or certifications.
  • Income potential is significant, with clients charging $10k-$20k per month per client for managing 4-5 clients.
  • The buyer is a high-income individual (busy business owners, creators) who values time over money.
  • The Virtual Assistant market is projected to exceed $30 billion annually by 2030, growing at 20% per year.

"All rich people need more time. Helping them get out of their email, scheduling, small tasks, running errands, research project, automation in general, using the virtual assistant angle, which is a large category, is a smart way to make a lot of money."

AI Content Repurposing Service [03:04]

  • This service uses AI to transform long-form content (videos, podcasts) into short clips for platforms like TikTok, Instagram, and YouTube.
  • The cost is relatively low, with free tools like Opus Clips and Descript available.
  • The effort is medium, requiring some learning to direct AI outputs to match client brand guidelines.
  • Income potential is high, with individuals making $10k-$30k per month from 5-7 clients.
  • The buyer is typically a content creator, coach, or business using educational marketing, who are willing to pay for content amplification.
  • The creator economy is projected to reach $480 billion, offering substantial growth potential.

"If you got paid to do the thing you do when you procrastinate, that is the perfect job."

AI Implementation and Automation Agency [06:06]

  • This business focuses on helping companies automate workflows, generate leads, and optimize business processes using AI.
  • The cost is medium due to potentially more advanced tools, and the effort is medium, requiring learning automation setup, possibly with AI assistance.
  • Income potential is substantial, ranging from $20k-$50k per month, as it solves bigger problems for larger companies.
  • Buyers are typically small to mid-sized businesses lacking AI expertise and seeking to improve efficiency.
  • The hyperautomation market, including AI-driven business automation, is projected to reach $249 billion by 2032.

"Every kid that comes up to me and they're like, 'I want to start a business. I don't know what to start.' AI automation company, AI automation agency, AI automation. Why?"

AI Lead Generation Agency [09:34]

  • This agency utilizes AI to identify, message, and qualify potential leads, turning them into sales opportunities for businesses.
  • The cost is low, utilizing tools like Clay.com, Apollo.io, or ChatGPT.
  • The effort is medium to high, requiring knowledge of marketing, copywriting, and AI automation setup.
  • Income potential is very high, with friends making $30k-$80k monthly by providing a service that directly generates revenue.
  • Buyers are service-based businesses that are already spending money on lead generation and advertising.
  • The lead generation industry is growing at approximately 17% annually, fueled by AI tools.

"Businesses will pay for that. Why? They're essentially trading dollars for more dollars."

Managed Cybersecurity and MDR [11:37]

  • This service offers 24/7 cybersecurity monitoring and threat response, powered by AI, to protect businesses from increasingly sophisticated cyber threats, including AI-driven attacks and social engineering.
  • The cost is high due to specialized security tools, and the effort is high, requiring foundational cybersecurity knowledge.
  • Income potential is very high, between $40k-$80k per month, for providing essential protection to businesses.
  • Buyers are companies, especially those handling sensitive data or payments, who need robust security and find it difficult to keep pace with evolving threats.
  • The global cybersecurity market is projected to reach $500.70 billion by 2030.

"Hackers are using AI, too. So, most businesses can't even keep up because the hackers are using AI to attack them."

Responsible AI Governance and Compliance Services [15:24]

  • This service helps large companies navigate the complex landscape of AI laws, liabilities, and best practices, ensuring their AI implementations are trustworthy and compliant.
  • The cost is medium, requiring an understanding of AI and data privacy laws, and the effort is high due to a steeper learning curve.
  • Income potential is the highest, ranging from $50k-$100k per month, due to serving large corporations with significant compliance budgets.
  • Buyers are typically large corporations, hospitals, and tech firms that handle sensitive data and must comply with evolving regulations like the EU AI Act.
  • AI compliance spending is expected to reach billions by 2026 as new laws are enacted globally.

"The laws involved, the potential liabilities, the exposure, they can't keep up on it. And the ones that have this problem are the big companies. And you know what? Big companies have deep pockets."

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