SmartWealth CEO: AI Outperforms Human Risk Management in Private Markets
SmartWealth Asset Management's AI-driven strategy returned 1.46% in the first quarter while broader equity markets posted losses, according to CEO Miro Mitev. The outperformance came as private equity faced mounting liquidity pressures and geopolitical uncertainty.
Mitev attributed the gains to a fundamental difference in how machines and humans handle risk under pressure. "Humans do not manage risk particularly well at pace," he said. "Markets move quickly, but human behaviour often swings between panic and delay, particularly during periods of geopolitical stress."
How the AI Model Operated
When semiconductor and technology valuations grew uncertain, SmartWealth's AI model reduced technology exposure from 45% to 28%, then rebuilt positions as conditions stabilized. During peak volatility, it also increased cash reserves for several days to limit downside risk.
Mitev contrasted this consistency with traditional investment committees. "AI-led discipline is often more pragmatic than fragmented human decision-making, where too many voices are pulling levers without real consistency," he said.
Private Equity Under Pressure
The broader private markets backdrop remains challenging. Global private equity exit volume fell 6.25% in the first quarter, with 720 transactions recorded compared to 768 in the same period last year, according to S&P Global Market Intelligence.
Elevated interest rates, stalled buyouts, and economic uncertainty have created a prolonged liquidity crunch. Slower exit activity continues to delay distributions back to investors.
For Managers: What This Means
SmartWealth manages both liquid securities-equities, bonds, currencies, crypto-assets, and ETFs-and non-liquid private assets including private equity, real estate, and art collections. The firm's approach suggests that AI can reduce behavioral bias in portfolio decisions.
For management teams overseeing investment decisions or capital allocation, the takeaway is straightforward: systematic AI models can maintain objectivity where human committees may hesitate or overcorrect. This doesn't eliminate human judgment but changes when and how it's applied.
Learn more about AI for Finance or explore AI for Executives & Strategy to understand how these tools fit into broader organizational decision-making.
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