I’m going to tell you something that the big robo-advisor companies don’t want you to know: their algorithms are probably losing you money. Not in a big, obvious, market-crash kind of way. It’s a slow, silent bleed, a subtle underperformance that costs you thousands, maybe tens of thousands of dollars over your lifetime.
How do I know? I’ve seen it firsthand. As an engineer and entrepreneur, I’ve spent my career building and investing in technology. I co-founded two companies that were acquired, RemoteTeam and MovieLaLa, and I’ve been fortunate enough to be an early investor in over 200 startups, including some of the biggest names in AI like Anthropic, OpenAI, and Scale AI. I live and breathe this stuff. So when I started using a robo-advisor a few years ago, I didn’t just set it and forget it. I dug in. I looked under the hood. And what I found was a fundamental flaw in their design, a pattern of underperformance that was surprisingly consistent across all the major platforms.
The Hidden Flaw: Strategy Drift
The problem isn’t that robo-advisors are bad at their core. They’re built on a solid foundation: Modern Portfolio Theory, diversification, and low-cost ETFs. The issue is something I call strategy drift. In their quest to offer personalized portfolios, these platforms have created algorithms that are too sensitive to short-term market fluctuations. They make tiny, almost imperceptible adjustments to your portfolio based on daily noise, not long-term signals. It’s like a sailor who’s constantly fiddling with the rudder in a calm sea, over-correcting for every tiny ripple and ultimately straying off course.
Let me give you a concrete example. A few years back, I put a significant chunk of my own capital into a popular robo-advisor. I set my risk tolerance to aggressive, and the platform allocated my assets accordingly. For the first year, everything seemed fine. The market was generally trending up, and my portfolio was growing. But then I started noticing something odd. The platform was making frequent, small trades, selling a few shares of one ETF to buy a few shares of another. These weren't major rebalancing moves; they were tiny tweaks, often triggered by a single day's market movement.
I decided to run an experiment. I created a simple, static portfolio of the same ETFs, with the same initial asset allocation, and let it run in a separate brokerage account. I didn't touch it, except for a quarterly rebalance. The result? After two years, my static portfolio had outperformed the robo-advisor by 4.7%. That might not sound like a lot, but on a six-figure portfolio, that’s real money. It was the cost of all that unnecessary tinkering, the friction of strategy drift.
Why It Happens: The Illusion of Control
So why do these platforms do it? It’s not because the engineers are incompetent. It’s because they’re trying to solve the wrong problem. They’re trying to give you the feeling of control, the illusion that your portfolio is being actively managed and optimized in real-time. It’s a powerful marketing tool. It makes you feel like you’re getting your money’s worth. But in reality, it’s often just noise. The algorithms are so finely tuned that they react to every headline, every tweet, every blip in the market. They’re designed to be constantly doing something, even when the best course of action is to do nothing at all.
Think about it from a product perspective. If you logged into your robo-advisor and saw that nothing had changed for six months, you might start to wonder what you’re paying for. But if you see a constant stream of small trades and adjustments, it creates the impression of activity and value. It’s a behavioral trick, and it’s costing you money.
How to Fix It: The Simple Adjustment
So what’s the solution? It’s surprisingly simple. You don’t need to abandon your robo-advisor altogether. They still offer a convenient, low-cost way to access the markets. You just need to take back a little bit of control and impose your own discipline on the platform. Here’s how:
Go Minimalist: Most robo-advisors offer a dizzying array of portfolio options, with dozens of different asset classes and ETFs. This is a classic case of choice overload. In reality, you can build a highly effective, globally diversified portfolio with just a handful of funds. I’m talking about a simple, three-fund or four-fund portfolio: a total US stock market ETF, a total international stock market ETF, a total US bond market ETF, and maybe a small allocation to real estate (REITs). That’s it. By simplifying your portfolio, you reduce the number of moving parts and give the algorithm less to tinker with.
Turn Off Automatic Rebalancing (If You Can): This is the big one. The constant, automated rebalancing is the primary driver of strategy drift. If your platform allows it, turn off this feature and commit to rebalancing your portfolio manually on a set schedule, say, once or twice a year. This forces you to take a long-term view and prevents the algorithm from making knee-jerk reactions to short-term market noise. If you can't turn it off, choose the longest possible rebalancing frequency.
Be Wary of Tax-Loss Harvesting: This is another feature that sounds great in theory but can be problematic in practice. Tax-loss harvesting involves selling a security that has experienced a loss, and then buying a similar (but not identical) security to maintain your asset allocation. The idea is to realize a capital loss that you can use to offset gains elsewhere in your portfolio. The problem is that it can lead to a lot of unnecessary trading and can cause you to sell low and buy high, the exact opposite of what you want to do. I’ve seen cases where a robo-advisor will sell an ETF at a small loss, only to buy it back a month later at a higher price, completely negating the tax benefit. Unless you have a very large, complex portfolio with significant capital gains to offset, the benefits of tax-loss harvesting are often outweighed by the costs of the extra trading.
The “Sahin” Method: A Hybrid Approach
This is the approach I use myself. I call it the hybrid method. I use a robo-advisor platform for its convenience and low-cost execution, but I don’t use their pre-built portfolios or their automated rebalancing. Instead, I build my own, simple, three-fund portfolio on the platform and I rebalance it myself once a year. It’s the best of both worlds: I get the benefits of the technology without the drawbacks of the strategy drift.
This approach requires a little more discipline than the “set it and forget it” model, but not much. We’re talking about a few hours of work per year, at most. And the potential payoff is huge. That 4.7% outperformance I mentioned earlier? Over a 30-year investment horizon, that could add up to hundreds of thousands of dollars in extra returns. That’s a life-changing amount of money.
Where AI Really Shines in Finance
I’m not an AI skeptic. Far from it. My investments in companies like Anthropic and OpenAI are a testament to my belief in the transformative power of this technology. The problem with most robo-advisors is not that they use AI, but that they use it for the wrong thing. They use it for short-term optimization, when its real strength is in long-term pattern recognition.
In my own investment firm, we use AI to analyze vast amounts of data, to identify deep, secular trends in the market. We’re not looking for a one-day edge; we’re looking for a ten-year advantage. We’re using AI to understand the fundamental drivers of economic growth, to identify the industries and companies that are best positioned to thrive in the decades to come. That’s where AI is truly a game-changer, not in making tiny, tactical adjustments to your ETF portfolio.
Take Back Control
Your financial future is too important to be left on autopilot. Robo-advisors can be a great tool, but they are not a magic bullet. They are a starting point, not a destination. The real secret to long-term investment success is the same as it’s always been: discipline, patience, and a healthy dose of skepticism. Don’t be afraid to look under the hood, to question the assumptions, and to take back control of your money. Your future self will thank you for it.
A Deeper Dive into the “Sahin” Method
Let’s get into the nitty-gritty of how I structure my own portfolio using this hybrid approach. It’s not complicated, but it does require a bit of thought upfront. The goal is to create a portfolio that is simple, diversified, and aligned with your long-term goals. Here’s a step-by-step guide:
Choose Your Platform: The first step is to choose a low-cost brokerage platform that gives you the flexibility to build your own portfolio. I personally use Interactive Brokers for its low fees and advanced trading tools, but there are many other great options out there, like Fidelity, Vanguard, or Charles Schwab. The key is to choose a platform that doesn’t force you into a pre-packaged robo-advisor portfolio.
Select Your ETFs: As I mentioned earlier, I’m a big believer in simplicity. For most investors, a three-fund portfolio is all you need. Here’s a classic combination:
- Vanguard Total Stock Market ETF (VTI): This gives you exposure to the entire US stock market, from large-cap to small-cap companies.
- Vanguard Total International Stock ETF (VXUS): This gives you exposure to developed and emerging markets outside of the US.
- Vanguard Total Bond Market ETF (BND): This provides a buffer against stock market volatility and generates a steady stream of income.
Determine Your Asset Allocation: This is the most important decision you’ll make. Your asset allocation should be based on your age, risk tolerance, and time horizon. A common rule of thumb is the “110 minus your age” rule, which suggests that you should subtract your age from 110 to determine the percentage of your portfolio that should be allocated to stocks. For example, if you’re 30 years old, you would allocate 80% of your portfolio to stocks (VTI and VXUS) and 20% to bonds (BND). This is just a starting point, of course. You may want to adjust your allocation based on your individual circumstances.
Rebalance Annually: Once you’ve set your asset allocation, the only thing left to do is to rebalance your portfolio once a year. This involves selling some of the assets that have performed well and buying more of the assets that have underperformed. This may seem counterintuitive, but it’s the key to maintaining your desired asset allocation and managing risk. For example, if your target allocation is 80% stocks and 20% bonds, and stocks have a great year, your portfolio might drift to 85% stocks and 15% bonds. To rebalance, you would sell some of your stocks and buy more bonds to get back to your target allocation.
The Future of AI in Finance: Beyond Robo-Advisors
While I’m critical of the current generation of robo-advisors, I’m incredibly bullish on the long-term potential of AI in finance. The problem with most robo-advisors is that they’re using AI in a very narrow and superficial way. They’re using it to automate a pre-existing strategy (Modern Portfolio Theory), rather than to develop new and better strategies.
In the future, I believe we’ll see a new generation of AI-powered investment platforms that are much more sophisticated. These platforms will use AI to analyze a much wider range of data, including not just market data, but also macroeconomic data, geopolitical data, and even social media data. They’ll use this data to identify deep, structural trends in the economy and to build portfolios that are dynamically adapted to changing market conditions.
For example, imagine an AI that could analyze the sentiment of millions of social media posts to predict the next big consumer trend. Or an AI that could analyze satellite imagery to track the flow of goods and services around the world. This is the kind of AI that I’m excited about, and it’s the kind of AI that I believe will truly revolutionize the investment industry.
Final Thoughts: Be the CEO of Your Own Finances
At the end of the day, you are the CEO of your own finances. You are the one who is ultimately responsible for your financial well-being. Don’t abdicate that responsibility to a machine. Don’t let a black-box algorithm make decisions for you that you don’t understand.
Take the time to educate yourself. Learn the basics of investing. Understand the fees you’re paying. And don’t be afraid to challenge the conventional wisdom. The world of finance is full of people who will try to sell you on the latest and greatest investment product. But the truth is, there is no magic bullet. There is no secret formula. The key to long-term investment success is the same as it’s always been: discipline, patience, and a healthy dose of common sense.
Frequently Asked Questions
What experience informs this perspective?
This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 200+ startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.
Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.
How can I apply this thinking to my own situation?
Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.
How has this view evolved over time?
My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.