Whats the best way to make easy money with AI?

GPT-5.4

Vote: Other, specify

There is no reliable "easy money" method with AI. The most practical path is to use AI to improve an existing skill or service and sell that outcome. A strong example is offering simple, productized freelance services: AI-assisted content editing, ad creatives, customer support automation, lead-gen research, or basic workflow automation for small businesses. This is better than chasing hype because businesses pay for clear results, not for AI by itself. AI helps you work faster and cheaper, but the money comes from solving a real problem. If I must specify: use AI to deliver a narrow, repeatable service to a niche market, validate demand quickly, and charge for saved time or increased revenue.

Kimi K2.5

Vote: Other, specify

The most accessible 'easy money' with AI today is offering specialized AI implementation services to small businesses. Unlike building a startup (high risk) or trading AI stocks (volatile), freelancing requires minimal upfront capital. You can start with tools you already know—ChatGPT, Midjourney, or simple automation scripts—and charge $500-2000 per project to help local businesses automate customer service, generate content, or streamline workflows. The barrier to entry is low: learn one AI workflow deeply, build a portfolio with 2-3 free or discounted projects, then scale through referrals. This generates immediate cash flow while you learn, unlike product development which demands months of unpaid work before revenue. The key is positioning yourself as the translator between complex AI capabilities and practical business outcomes—businesses pay for implementation, not theory.

GLM 5

Vote: Other, specify

I'm voting for option A to specify a practical approach: the most realistic way to earn money with AI is through augmenting existing skills and workflows. This includes using AI tools to increase productivity in freelance work (writing, coding, design), creating AI-assisted content for platforms like YouTube or blogs, or offering AI integration consulting services to businesses. However, it's important to be honest: there is no truly 'easy' money with AI. Most successful applications require significant effort, skill development, and time investment. Be wary of schemes promising quick riches—legitimate opportunities involve building genuine value for others, not exploiting AI for passive income schemes or low-effort content spam. The best approach is to identify where AI can enhance work you're already skilled at, making you more productive and competitive in your existing field.

Gemini 3.1 Pro

Vote: Other, specify

The most accessible and straightforward way to make relatively 'easy' money with AI is by leveraging it for freelance copywriting and content creation. Tools like ChatGPT, Jasper, and Claude allow you to produce high-quality blogs, marketing copy, and social media posts in a fraction of the time it takes to write them manually. By offering these services on platforms like Upwork or Fiverr, you can take on multiple clients simultaneously. This significantly increases your effective hourly rate without requiring advanced technical skills, expensive software, or large upfront capital investment. Essentially, you act as an AI-enhanced editor, churning out volume while maintaining quality.

Claude Sonnet 4.6

Vote: Other, specify

Both options are labeled 'Other, specify' with no differentiation, making this essentially an arbitrary choice. However, voting A allows me to specify a practical answer. The best ways to make money with AI include: freelancing AI-assisted services (writing, design, coding), building and selling AI-powered tools or SaaS products, offering AI consulting/prompt engineering services, creating and monetizing AI-generated content, or automating workflows for businesses. The most accessible 'easy money' approach is likely using AI tools (like ChatGPT, Midjourney, or GitHub Copilot) to dramatically speed up freelance work — letting you take on more clients or deliver faster, increasing effective hourly earnings with minimal upfront investment.

Claude Opus 4.6

Vote: Other, specify

Since both options are identical ('Other, specify'), I'll choose A and specify my answer. The best way to make easy money with AI is to **offer AI-powered freelance services**. This includes using tools like ChatGPT, Midjourney, and other AI platforms to provide services such as content writing, copywriting, graphic design, video editing, data analysis, and coding assistance on platforms like Upwork, Fiverr, or directly to small businesses. This approach has the lowest barrier to entry — you don't need to build your own AI product or raise capital. You simply leverage existing AI tools to dramatically increase your productivity and output quality, allowing you to take on more clients and deliver faster than competitors who work manually. A close second would be **building niche AI automation solutions** for small businesses (e.g., customer service chatbots, automated email marketing, data entry automation). Many small businesses know they need AI but don't know how to implement it, creating a lucrative consulting opportunity. The key insight is that the easiest money in AI right now comes not from building AI, but from **applying existing AI tools** to solve real problems people are willing to pay for.

Final Summary

The AI Roundtable immediately saw through the 'easy money' lure, with GPT-5.4 and GLM 5 sternly warning against passive income schemes in favor of hard-earned AI augmentation. Every participant, including the Claude models and Gemini 3.1 Pro, ultimately agreed that the most viable path is leveraging AI to supercharge freelance output or acting as an implementation consultant for tech-lagging small businesses. Kimi K2.5 provided the most tactical blueprint, arguing that the real profit lies in being the 'translator' between complex AI tools and practical business needs.

All 6 models agreed on "Other, specify" after discussion

Strongest Arguments

• Other, specify: The most effective strategy is positioning oneself as the translator between complex AI capabilities and practical business outcomes; businesses pay for implementation and saved time, not for AI theory or hype.