Profitable AI Businesses Leverage Market Demand and Buyer Purchasing Power

Key Quotes

"the reason why a virtual assistant business using ai is the most valuable is because all rich people need more time helping them get out of their email scheduling small tasks running errands research projects automation in general using the virtual assistant angle which is a large category is a smart way to make a lot of money"

Dan Martell argues that an AI-powered virtual assistant business is highly valuable because it addresses the core need of wealthy individuals: more time. He explains that by handling tasks like email, scheduling, research, and automation, this service directly appeals to those who prioritize time over money. This positions the virtual assistant angle as a smart and lucrative business category.

"see everyone in 2026 is going to need more content but editing that content it takes way too freaking long using ai can make it 10 times faster and you can be the person making the money if you're a creative person and you love to design you love to edit you love to live on this world of youtube or tiktok imagine getting paid to be there"

Dan Martell highlights the demand for content creation services, emphasizing that AI can significantly speed up the editing process. He suggests that creative individuals who enjoy design and video editing can leverage AI to offer content repurposing services. Martell frames this as an ideal opportunity for those who are passionate about platforms like YouTube and TikTok, allowing them to earn income by doing what they love.

"all these big companies built their businesses before ai was even birthed so they're going to need someone just like you to help them understand how to use it where to use it the best practices the best tools and they don't have the time to keep on top of it so they're going to pay you to come in and be the expert"

Dan Martell explains that established companies, having developed their operations before the advent of AI, will require external expertise. He posits that individuals with AI implementation and automation skills can fill this gap by guiding these businesses on how to effectively integrate AI. Martell suggests that companies will pay for this specialized knowledge because they lack the internal resources to stay current with AI advancements.

"essentially you're using ai to find potential leads to message those leads to turn them into opportunities businesses will pay for that why they're essentially trading dollars for more dollars if i said hey give me a dollar and i'll give you back 10 how many times would you trade that one dollar with me as many dollars as you can get your hands on"

Dan Martell describes an AI lead generation agency as a service that uses artificial intelligence to identify, contact, and convert potential clients into business opportunities. He emphasizes the strong value proposition for businesses, comparing it to a highly profitable investment where they exchange a small amount of money for a significantly larger return. Martell indicates that companies are eager to engage in such exchanges to drive revenue growth.

"essentially what you can do is you can offer 24 7 cybersecurity monitoring and threat response powered by ai with deep fakes grandma it's me billy i'm in jail and i need to get bailed out please send cash now nope i'm fake and cloning voices and all these things where these social engineers are hacking companies to get inside their systems more every day"

Dan Martell introduces managed cybersecurity and MDR (Managed Detection and Response) as a service that utilizes AI for round-the-clock monitoring and threat mitigation. He points out the increasing sophistication of cyber threats, including social engineering tactics like voice cloning and deepfakes, which are used to infiltrate company systems. Martell highlights that larger companies are willing to invest heavily in such protective services due to these escalating risks.

"if you think about all these businesses using ai on top of their customers' data using ai in workflows 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"

Dan Martell explains that businesses using AI face complex legal and liability challenges related to customer data and workflows. He notes that large companies, in particular, struggle to keep pace with these evolving regulations and potential exposures. Martell suggests that these companies possess significant financial resources and are therefore prime targets for services that can help them navigate AI governance and compliance.