People often ask ChatGPT silly questions, but one recent question about money got a surprisingly serious and practical answer.
On The Diary of a CEO podcast, Steven Bartlett spoke with investing expert JL Collins, author of The Simple Path to Wealth. The discussion focused on common myths about investing and building financial freedom.
During the conversation, Bartlett asked ChatGPT a question meant to sum up all investing wisdom in one sentence. The prompt was from the perspective of a normal person earning $50,000 a year who wants to become financially free.
ChatGPT’s Advice on Getting Rich
Before revealing ChatGPT’s response, Bartlett asked Collins what his own advice would be. Collins answered simply:
- Avoid debt
- Spend less than you earn
- Invest the money you save
ChatGPT’s answer closely matched this view. It said a person should focus on saving consistently, investing in low-cost, broad index funds like the S&P 500, living below their means, and letting compound growth work over time.
Collins was surprised by how closely the advice aligned with his own long-standing philosophy.
How to Earn More Money
Bartlett then asked a follow-up question: “How do I earn more?”
Collins answered: Develop your skills.
ChatGPT gave a longer version of the same idea. It suggested focusing on high-demand skills, looking for career advancement, starting side projects, or investing in assets that create passive income, such as real estate or dividend-paying investments.
Collins joked that ChatGPT sounded like it had pulled its advice straight from his book.
The Future of Work and AI
The conversation also touched on how AI could change which skills are valuable in the future. Collins noted that programming used to be one of the most in-demand skills, but AI may reduce its importance over time.
This concern aligns with comments from OpenAI CEO Sam Altman, who has said job displacement worries him the most. Altman believes many customer service jobs could be replaced by AI and that large changes to the job market may happen faster than in the past.
Despite this, Altman has said that long-term change may still follow historical patterns, even if the short-term disruption feels intense.
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