Analysis of SmartWealth’s AI-Human Investment Balance Highlighted in a Future CNBC Article

This analysis focuses on a future-dated CNBC article [2] (2025) featuring Miro Mitev, CEO of SmartWealth Asset Management. Mitev, who first studied neural networks in 1997, leads a firm that uses AI algorithms for all investment decisions but emphasizes that “humans are the most important part” of investing. Since the article is not yet published (as of 2024), this analysis draws on current trends in AI-driven asset management [0]. Mitev’s longstanding AI expertise suggests SmartWealth’s approach likely involves a hybrid model, where humans design algorithms, monitor for bias, and interpret qualitative context—key roles that current AI systems still rely on [1].

1. The apparent contradiction between full AI decision-making and human importance reflects a growing industry trend: AI as an enhanced tool rather than a replacement for human judgment [0]. This addresses investor concerns about “black-box” AI systems by highlighting human oversight [1].
2. Mitev’s 1997 introduction to neural networks indicates a deep understanding of AI’s evolution, potentially giving SmartWealth a competitive edge in designing robust, human-aligned algorithms [2].
3. The narrative reinforces that even fully AI-powered firms recognize human expertise is critical for long-term investment strategy, countering the narrative of AI “taking over” asset management [1].

• Opportunities
  : SmartWealth’s hybrid messaging could build investor trust, attracting those interested in AI efficiency but wary of complete automation [0]. The industry may shift toward clearer communication about human-AI collaboration [1].
• Risks
  : Without details on SmartWealth’s AI structure and human roles, the claim of “human importance” could be viewed as marketing without substance [2]. If 2025 industry trends lean toward full AI autonomy, SmartWealth’s model may be perceived as outdated [0].

• A future CNBC article [2] will feature SmartWealth Asset Management’s CEO Miro Mitev discussing the firm’s AI-driven investment approach.
• Mitev first learned about neural networks in 1997, informing his firm’s strategy.
• Despite using AI for all investment calls, Mitev argues humans remain the most critical component of investing.
• Current (2024) trends suggest this likely involves a hybrid model with human oversight [0][1].