Kathy Wood recently shared an interesting thought that most of the current market turbulence is driven by algorithmic trading rather than fundamental changes in the economy. She explains that machine learning simply cannot conduct deep analysis like humans do — it only mechanically adjusts risks according to preset rules.

This observation prompts reflection. When algorithms start reducing positions due to falling prices or rising volatility, it triggers a chain reaction. Price drops provoke new sell-offs, which further increase volatility — creating a vicious cycle. This is especially noticeable in oversaturated sectors where portfolios are similar. Wood figuratively describes this as "pouring water out with the baby."

Interestingly, Kathy Wood suggests that the growing popularity of technical analysis among traders only amplifies this effect. When millions of people monitor the same support levels or moving averages, mass herd trading occurs. It’s not research; it’s just a reflex.

Regarding the tech sector, Kathy Wood sees deeper processes at play. She believes the market is transitioning from a universal SaaS model to specialized AI platforms. This shift is logical, but algorithms do not understand it. They simply sell everything indiscriminately, failing to distinguish winners from losers. This creates pricing errors that become opportunities for long-term thinkers.

Kathy Wood emphasizes an important point: the market is rising on a wall of worry, which is often a sign of a strong bull market rather than a bubble. She recalls April of last year when panic gripped investors, but everyone who sold then regretted it for the rest of the year. The current situation, in her view, is much healthier than the internet bubble era. Back then, Jeff Bezos could talk about aggressive investments, and the market grew 10–15% per month. Now, Mag 6 announces increased capital expenditures — and the market punishes them. This indicates that irrational exuberance is absent.

On macroeconomics, Kathy Wood forecasts that productivity driven by artificial intelligence could alter the traditional link between growth and inflation. She expects the budget deficit relative to GDP to fall below 3% by the end of the presidential term, and global real GDP growth to reach 7–8% by the end of the decade. This is already a conservative estimate.

Interestingly, Kathy Wood points to data from Truflation showing real inflation at around 0.7% annually. Prices for existing homes are rising less than 1%, oil has fallen by double-digit percentages. All of this puts downward pressure on inflation, not upward.

Regarding the labor market, the situation is more complex. Employment data was revised downward by 861,000 jobs over the past year — about 75,000 per month. But a positive sign is that youth unemployment has fallen below 10%. Kathy Wood suggests this is not just recovery but an “entrepreneurial explosion,” driven by the accessibility of AI tools. People are creating their own companies instead of seeking traditional jobs.

On cryptocurrencies, Kathy Wood admits that Bitcoin recently lagged behind gold due to mass algorithmic sell-offs. But she considers this a market mistake. Gold is currently overheated — its ratio to M2 has reached record levels, even surpassing the times of the Great Depression. Bitcoin, with its limited supply that cannot grow faster, is different. She also became an advisor to LayerZero, seeing potential in DeFi projects to build infrastructure for a new AI era, where millions of transactions per second will be needed.

In conclusion, Kathy Wood notes that today’s situation resembles 1996 rather than the 1999 bubble peak. The market is scared, but this is not speculation — it’s a real transformation. For portfolio managers focused on innovation, this fear is a golden opportunity. The key is to be on the right side of change.