You Think You Made That Decision. You Didn't.

In partnership with

200 Ways To Make Money With AI

Ready to transform artificial intelligence from a buzzword into your personal revenue generator?

HubSpot’s groundbreaking guide "200+ AI-Powered Income Ideas" is your gateway to financial innovation in the digital age.

Inside you'll discover:

• A curated collection of 200+ profitable opportunities spanning content creation, e-commerce, gaming, and emerging digital markets, each vetted for real-world potential

• Step-by-step implementation guides designed for beginners, making AI accessible regardless of your technical background

• Cutting-edge strategies aligned with current market trends, ensuring your ventures stay ahead of the curve

Download your guide today and unlock a future where artificial intelligence powers your success. Your next income stream is waiting.

Get The Free Guide

You Think You Made That Decision. You Didn't.

Think about the last time you made a decision with AI involved.

Maybe you asked for a recommendation. A restaurant, a product, a route, a response to a message. Maybe you asked for an analysis of a situation you were navigating. Maybe you just Googled something and clicked the AI-generated summary at the top.

Now think about how you described that decision afterward.

Almost certainly, you described it as your decision. Your choice. Based on what you thought.

Research published across 2025 and 2026 has been documenting something quietly unsettling about that description.

People who make decisions with AI involvement consistently report feeling more autonomous and more confident in their choices than people who decide without AI. They feel more in control. More certain they got it right.

And they are, statistically, less likely to question what they decided.

The confidence is real. The autonomy, in many cases, is not.

The Autonomy Illusion

The Human Clarity Institute published a population-level behavioral study this year that introduced a phrase worth holding onto.

The autonomy illusion.

Their finding is specific. AI involvement in decision-making increases perceived control while simultaneously shifting actual control toward the AI's influence. People feel more in charge of their choices precisely because the AI has made the process feel smoother, faster, and more certain than the messy, uncertain process of deciding alone.

Think about what that means practically.

When you decide something without AI, you feel the uncertainty. You are aware of the information you do not have. You sit with the discomfort of not being sure. That discomfort is not pleasant. But it is accurate. It is a correct representation of your epistemic situation.

When you decide with AI, the uncertainty is smoothed over. The AI presents options, analyses, or recommendations with a confidence and fluency that makes the decision feel more solid than it actually is. You feel certain because the tool you used felt certain. The feeling is real. The certainty is borrowed.

And borrowed certainty, unlike earned certainty, does not come with the warning labels that tell you when to doubt yourself.

The Harvard Finding That Changes the Frame

Harvard Business School researchers published a finding this year that reframes the entire AI and decision-making conversation.

AI does not improve decision-making equally for everyone. Studies revealed that AI assistants boost performance for already-successful decision-makers by 10 to 15 percent, while actually decreasing outcomes for struggling decision-makers by 8 percent.

Read that again.

The people who are already good at making decisions get better with AI. The people who are struggling get worse.

The mechanism is not complicated once you see it. Good decision-makers use AI as a thinking partner. They bring their own judgment, their own context, their own critical evaluation to the AI's output. They take what is useful and discard what is not. The AI augments the process they already have.

Struggling decision-makers use AI as a replacement for the process they do not have. They receive the output and accept it. The AI does not augment their judgment. It substitutes for it. And a substitute that does not know your specific situation, your values, or the full context of your life will routinely produce recommendations that are directionally reasonable and specifically wrong.

The people who most need good decision-making tools are the ones least equipped to use them in the way that actually helps.

The Moral Conformity Study

A study published this year on AI and moral decision-making found something that extends this into territory most people find uncomfortable to sit with.

When people receive an AI recommendation accompanied by reasoning, they are significantly more likely to follow it, and significantly less likely to believe they were influenced by it.

The researchers describe this as a double problem. AI-generated reasoning was perceived as more valid and more unbiased than human reasoning for the same conclusion. And participants who followed AI moral recommendations consistently underestimated the AI's influence on their choice, reporting afterward that they had reached the conclusion independently.

You follow AI's moral reasoning more readily than a human's. And then you believe it was your idea.

That is not a small finding. Moral decisions are the most personal decisions you make. They are the ones where the question of whether the choice was yours matters most. They are where the distance between your stated values and your actual behavior is either closed or widened.

If AI is shaping those choices in ways you do not notice and would not endorse if you did, the implications are not abstract. They are about who you actually are versus who you believe yourself to be.

The Specific Decisions That Are Most at Risk

Not all decisions carry the same risk of unnoticed AI influence.

The Human Clarity Institute research identified a pattern. Decisions that are data-rich and outcome-measurable, financial choices, route planning, product selection, are the ones where AI assistance is most clearly beneficial and where the influence is most visible. You can see the reasoning. You can evaluate it. The decision loop stays relatively closed.

The decisions that carry the highest risk of unnoticed influence are the ones that are value-laden and context-dependent. How to respond to someone who hurt you. Whether a relationship is worth maintaining. What kind of work is worth doing. What you owe the people in your life.

These are decisions where the AI has no access to the full context of your life, your history, or your values. It can only produce a response that sounds reasonable in general. And because it sounds reasonable, and because you feel more confident after receiving it, you are likely to take it as guidance without registering that the guidance came from something that does not know you.

The Decision You Are About to Make

Sixty percent of executives now regularly use AI to support their decisions according to Deloitte's 2026 Global Human Capital Trends survey. Gartner projects that by 2027, half of all business decisions will be augmented or automated by AI.

Those numbers describe a world that is already here for most professionals. AI is not coming into the decision-making process. It is already in it.

The question is not whether to use AI for decisions. The question is which decisions deserve the friction of deciding without it.

Not all of them. The logistics, the research, the pattern recognition, the data analysis, these are exactly where AI excels and where the efficiency gains are real and worth capturing.

But the decisions that define who you are, how you treat people, what you value, what kind of life you are building, these are the ones where the autonomy illusion is most expensive. Where borrowed certainty costs the most. Where the feeling of having decided is least reliable as evidence that you actually did.

The practical question is simple. Before your next significant decision with AI involvement, ask yourself once whether the confidence you feel is yours or the AI's.

That pause, practiced consistently, is the difference between using AI to think and letting AI think instead of you.

If you caught yourself this week being certain about something you had not actually worked through, that moment is worth noticing. Send it back if you want to think it through.

If this newsletter makes you think differently each week, one click on the ad above is the easiest way to keep it going. No subscription, no paywall. Just that one small thing.

Thanks for reading. See you Tuesday

How Jennifer Aniston’s LolaVie brand grew sales 40% with CTV ads

The DTC beauty category is crowded. To break through, Jennifer Aniston’s brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category.

Learn more