Steven Strange

Key Takeaways The benefits of generative AI are seen as outweighing the costs. The technology is expected to transform the industry with enhanced decision-making and returns. Operational hurdles are high, and infrastructure will need to be modernized. Skill shortages will also need to be addressed for the technology to be successful. Although a hot topic for some time, it may be years before artificial intelligence (AI) in asset management reaches its full potential.

Key Takeaways Using technology can help sustain profitability. Strategic planning is required for the effective use of AI. Challenges include data input in AI models Artificial intelligence (AI) is revolutionizing the asset management sector, driving innovation and reshaping traditional approaches. However, the critical question is how asset managers can prepare for this shift.

This content was originally published by BusinessGreen The debate around the term ‘ESG’ has once again dominated the media following President Trump’s announcement that he will withdraw the US from the Paris Climate Agreement. Trump has made his feelings towards green initiatives clear, and we have already seen reactions from several key players in asset management – including BlackRock, J.P. Morgan, and Bank of America – in departing from the Net-Zero Banking Alliance.