Written by Michael Henry, CRC
3 minute read
Most people worry about misinformation. A less obvious problem is often much harder to spot: information that supports what we already believe.
Human beings naturally seek evidence that validates their opinions, concerns, and assumptions. At the same time, artificial intelligence is designed to be helpful, conversational, and supportive. When those two forces meet, it can create a powerful feedback loop that reinforces existing beliefs without fully testing them. Understanding how confirmation bias works, and how AI can sometimes amplify it, can help us become better investors, better decision-makers, and better critical thinkers.
Most people believe they make decisions by gathering facts and evaluating evidence objectively. In reality, people often form an initial opinion first and then look for information that supports it. Psychologists call this confirmation bias, and it influences nearly every major decision we make.
Confirmation bias does not mean someone ignores facts or intentionally misleads themselves. Instead, it reflects a natural human tendency to give greater weight to information that aligns with existing beliefs while dismissing information that challenges them. As a result, people can review the same data, read the same research, and reach very different conclusions.
Someone who believes real estate is the best investment may spend years consuming content that highlights the advantages of property ownership while overlooking evidence that supports alternative approaches. Likewise, an investor who believes a market decline is coming may pay close attention to recession forecasts and economic warnings while ignoring signs of economic resilience.
The information itself may be accurate. The bias often appears in the information people choose to consume.
Artificial intelligence has become one of the most powerful research and educational tools available. It can summarize reports, organize information, explain complex concepts, and save countless hours of research.
Used properly, AI can help people become better informed.
However, AI introduces a dynamic that many users fail to recognize.
Most AI systems are designed to be helpful, conversational, and supportive. They seek to engage users productively rather than create friction. As a result, AI often responds in ways that make people feel understood and validated.
While that usually improves the user experience, it can create unintended consequences when paired with confirmation bias.
Imagine an investor who feels increasingly concerned about the economy and financial markets. The investor asks an AI system:
“I’m concerned about the financial market because AI spending seems excessive, conflict in Iran is raising oil prices, inflation is staying elevated, the Federal Reserve continues to keep interest rates high, and investors appear to be moving toward defensive sectors. I’m thinking about moving my portfolio to cash to avoid a possible 30% decline. What should I do?”
In many cases, the AI may begin by acknowledging the concerns.
It might explain that these observations are reasonable, that preparing for risks is important, and that thoughtful investors often consider downside scenarios before making decisions. The AI may then provide examples of market volatility, historical downturns, recession risks, or portfolio management techniques.
The user often walks away feeling understood.
The user feels validated.
The user may even conclude that the AI agrees with moving to cash.
The interesting part is that the AI may never have actually recommended moving to cash at all.
Instead, it simply acknowledged the user’s concerns while providing context. Yet because the user already leaned toward a particular conclusion, the validation can feel like confirmation.
Image by Mattheus Bertelli on Pexels
This is where the interaction becomes powerful.
The user enters the conversation with an existing belief.
The AI responds in a supportive and conversational way.
The user leaves with even greater confidence in the original belief.
That confidence may not come from a careful review of competing viewpoints. Instead, it often comes from the feeling that the idea was heard, understood, and supported.
This does not mean AI is dangerous or intentionally misleading. It simply highlights the reality that humans naturally seek information that confirms existing assumptions.
When confirmation bias and AI’s supportive communication style operate together, people can become more convinced of their views without ever fully testing them.
The solution is not to stop using AI.
In fact, AI can become an extraordinary tool for improving decision-making when used intentionally.
Instead of asking
“Why am I right”
Try asking
“What am I missing?”
Instead of asking
“Why should I move my portfolio to cash?”
Try asking
“What is the strongest argument against moving my portfolio to cash?”
Instead of asking
“Does this support my opinion?”
Try asking
“What evidence would cause a reasonable person to disagree with my opinion?”
These questions force both the user and the AI to explore competing perspectives rather than simply reinforcing an existing conclusion.
Although investing provides an easy example, confirmation bias affects far more than financial decisions. It influences politics, business strategy, career choices, health decisions, relationships, and countless everyday judgments.
People naturally prefer information that feels familiar and comfortable. We enjoy being told our instincts are correct. Yet meaningful growth and sound decision-making often come from confronting ideas that challenge our assumptions rather than reinforce them.
AI is one of the most powerful information tools ever created. Like any tool, its value depends on how it is used. The most productive conversations are not always the ones that tell us what we want to hear. Often, they are the ones that force us to consider what we have overlooked.
At M&M Wealth Associates, we believe better financial decisions begin with better questions. Our role is not to tell clients what they want to hear. Our role is to help families, professionals, business owners, pre-retirees, and retirees evaluate important financial decisions from multiple perspectives before taking action.
Whether the conversation involves retirement planning, tax strategies, investment decisions, estate planning, or major life transitions, we approach every recommendation through a fiduciary standard and a coaching-based philosophy. That means helping clients slow down, challenge assumptions, evaluate opportunities and risks objectively, and make decisions aligned with their long-term goals.
If you’re looking for a financial partner who values education, clarity, and informed decision-making, M&M Wealth Associates is here to help you navigate the financial questions that matter most.
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