AI-driven quantitative investing, cryptocurrency derivatives, and quantum data analytics. As we traverse new frontiers of investment opportunities unlocked by AI, it is crucial to maintain an equilibrium. Trust remains key in making investment decisions, which reinforces the balance between embracing innovation and human discretion into finance.
Global investment in financial technology took a serious hit, suffering a 5-year downturn in 2023, owing to the geopolitical conflicts around the globe, rising interest rates, and decreased valuations of fintech companies. What emerged as the saving grace was AI-driven investing which managed to hold momentum; holding mass investor interest. Algorithmic trading is now projected to account for over 60% of equity trades.
The grand success of the Unified Payments Interface (UPI) in India is a precursor to potential positive reception by the average Indian investor to AI-powered financial decision making. Not just the retail investor, but the institutional investment community is equally charmed by the prospect of AI-powered infrastructure. From analysing massive alternative data sets using satellite imagery to social media sentiment, and uncovering alpha-generating investment insights, the possibilities are seemingly endless.
However, recent events like the 2023 AI bubble demonstrate the dangers of blindly following opaque algorithms without proper human oversight. While the benefits of advanced technologies are undeniable, there are inherent limitations of sole reliance on data-driven models. The 2024 launch of Ethereum 2.0 and explosion of DeFi (decentralized finance) products illustrates how rapidly evolving crypto markets can defy historical patterns.
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