AI Is Changing the Game—Are Human Traders Still Needed?
- Jun hao
- Jul 2
- 2 min read
Updated: Jul 4

Artificial Intelligence has officially entered the trading floor are human traders still needed? From Wall Street to crypto, AI is increasingly managing decisions once made by humans.
According to Precedence Research (2024), the global AI trading platform market hit $11.26B, projected to grow to $69.95B by 2034, with a 20% CAGR. McKinsey forecasts that by 2030, 50% of trading jobs especially execution traders may be automated.
Why AI Outperforms Human Traders in Some Areas

AI's Advantages
Speed: AI executes trades within milliseconds.
24/7 Availability: Especially useful for crypto and global markets.
Emotionless Logic: No fear, no greed—just math.
Two Sigma, a quant hedge fund, used AI to earn a 10.7% return during volatile 2023 markets. Virtu Financial consistently limits its daily P&L variance to within 1.5% using advanced AI modeling.
Data-Driven Proof
68% of North American asset managers now use AI-assisted trading (Statista)
PwC: AI expected to contribute $1.2 trillion to the financial industry in the next decade
Bridgewater’s PriOS uses over 1.2 billion financial text data to enhance macro prediction accuracy
But Human Traders Still Matter

1. The "Black Box" Problem
AI models lack transparency. When they fail, human intervention is critical. For instance, models based on dovish rate assumptions crashed during the 2022 hawkish pivot.
2. Handling the Unexpected
Pandemics, wars, sudden regulations—AI struggles with non-patterned, one-time events. Many AI systems missed the liquidity crunch in early COVID.
3. Creative Alpha
Only humans can create new frameworks, imagine novel cross-asset plays, and take contrarian bets.
Real-World Case Studies-Are Human Traders Still Needed
Goldman Sachs
From 600 cash equity traders down to 2 and a suite of AI systems. Marquee, its client-facing data tool, provides insights built on AI-backed research.
Bridgewater’s PriOS
Analyzes over a billion financial text entries to generate trading signals. Final calls are human-approved.
MyITS Hybrid Strategy
MyITS leverages automated quant strategies with real-time monitoring to enhance trading efficiency and risk control in the crypto market. It integrates both spot and futures markets to balance long-term growth and short-term opportunities.
The Next Evolution: AI-Generated, Human-Refined Trading

AutoML: Enables non-coders to design models via visual interfaces
Generative AI: GPT, Claude can help write code, generate research drafts
Reinforcement Learning (RL): Systems like AlphaPortfolio learn from live market conditions to adapt
MyITS is already experimenting with co-decision layers—where AI proposes, but human risk managers assign final scores.
Future = AI + Human = Enhanced Trading

The World Economic Forum suggests three hybrid trader roles will emerge:
Role | Function |
AI Engines | Execute trades and scan for opportunities |
Human Traders | Apply judgment and manage risks |
Data Analysts | Explain and fine-tune AI outputs |
It’s not that AI will replace all traders—it’s that traders who use AI will replace those who don’t.
AI is no longer a future trend. It's here—and growing fast.
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Disclaimer:
This article is for educational and informational purposes only. It does not constitute financial advice. Always conduct your own research or consult a certified financial advisor before making investment decisions.