Which AI Should You Use to Make Money? GPT 5 vs Others⏐ Ep. #207

Key takeaways

Real-world testing is essential to evaluate the effectiveness of AI-generated strategies.
The clarity of prompts significantly impacts the quality of responses from AI.
Not all AI tools are created equal; performance varies widely based on the task.
Starting from scratch requires strategic planning and agile decision-making.
Understanding market dynamics is crucial for success in trading and business.

Summary

Introduction to AI Money-Making Experiment

In this episode, the host sets the stage for a showdown between various AI models—ChatGPT-5, Claude Opus 4.1, Grok 4, and Gemini 2.5 Pro—to determine which can devise the best strategy to become a $100 per hour consultant within 72 hours, starting from scratch with just $500. The host emphasizes that they will personally test these strategies by investing real money to assess their viability.

Prompting the AI: Setting Up the Competition

The host outlines the prompt given to each AI: create a rapid business strategy for consulting in a new field while accounting for constraints like time, resources, and lack of connections. The prompt underscores the need for broad questions to elicit the most useful information from the AIs, further illustrating the differences in their approaches.

Evaluating the Strategies: Ranking AI Output

Each AI’s output is analyzed based on quality, simplicity, and the likelihood of success. The strategies presented range from creating custom GPTs for small businesses to offering digital marketing and AI consultancy. The host carefully critiques the practicality and feasibility of each suggestion, leading to a ranking of the outputs.

Live Testing: Implementing Trading Strategies

The host transitions from theoretical strategies to a live testing phase where they invest in options trading based on the AIs' recommendations. The host shares their real-time trading decisions, showcasing the results of applying the AI-generated plans to actual market scenarios.

Results and Reflections: Who Came Out on Top?

After a day of trading, the host reveals the financial outcomes stemming from each AI’s recommendations. Despite some mistakes and surprises in the trading outcomes, the host concludes with insights on the performance of each AI, noting that Claude Opus 4.1 ultimately provided the best strategy, while ChatGPT-5 delivered impressive but underwhelming results.

Show notes

Check out my newsletter at TKOPOD.com and join my new community at TKOwners.com.Disclaimer: This content is for educational and entertainment purposes only and does not constitute financial advice. Always do your own research and consult with a licensed financial professional before making any investment decisions.In this episode I put ChatGPT 5, Claude Opus 4.1, Grok 4 and Gemini 2.5 Pro head to head to see which AI can create the fastest, most practical money making plan from scratch. I gave each model the exact same challenge to become a $100 per hour consultant in 72 hours starting with no audience, no connections, and just $500, and then I compared their strategies step by step.After ranking their ideas for quality, simplicity, and likelihood to work, I pushed the competition further by testing each AI in a real money options trading experiment. I followed their instructions live, invested my own cash, and revealed the exact results the next day including profit, losses, and all. This was a full stress test of speed, accuracy, and real world outcomes, and the results may surprise you.Enjoy!---Watch this on YouTube instead here: tkopod.co/p-ytAsk me a question on or off the show here: http://tkopod.co/p-askLearn more about me: http://tkopod.co/p-cjkFollow me on Twitter here: http://tkopod.co/p-xFree weekly business ideas newsletter: http://tkopod.co/p-nlShare this podcast: http://tkopod.co/p-allScrape small business data: http://tkopod.co/p-os---