Progress on women’s financial inclusion has accelerated, yet material gaps persist in access, usage, quality and outcomes. Hopes are now being placed in artificial intelligence to power further progress. But growing evidence actually shows that AI may distort data sets,…
The veteran venture capitalist on what makes the AI bubble different and how to spot tectonic shifts in markets.
There’s been a massive influx of investment into AI-related hardware and model development. Citi Institute’s Prag Sharma says investing in governance is also essential for driving returns.
For 20 years, developments in fintech have appeared poised to fundamentally reshape the financial industry. The slower-than-predicted pace of change suggests we shouldn’t expect the latest innovations to remake the world overnight.
The chief executive of the Hong Kong Monetary Authority argues that emerging technologies like tokenization and AI can improve inclusion and efficiency if central banks play an active role.
Blockchain has so far failed to deliver the scale boosters long promised. The Web-AI fusion will bring TradFi and DeFi together, allowing the financial system to work as a single stack.
The author and fintech strategist on why money needs government, the rise of deepfakes, and how trust could become the most valuable currency.
Regulators must work alongside innovators in AI and quantum, so that public confidence doesn’t lag behind the code.
An interview with Shigeru Ariizumi, vice minister for international affairs at Japan’s Financial Services Agency, on how AI can mitigate population decline and the social impact of innovation.
Widespread use of advanced AI models is still new, but finance is already finding real value in diving in.
Finance is being transformed by AI. Like past technological revolutions, it is likely to complement — not replace — the people who make the system run.
An interview with Manu Chopra, the co-founder and CEO of Karya, on the hidden jobs created by AI, building models for thousands of Indian languages, and delivering on the promise of the internet.
The groundwork for modern breakthroughs in large language models was laid last century, in the revolutionary field of information theory. The future of financial AI depends on new theoretical insights that enable deeper reasoning.
The financial industry has always been at the cutting edge of technological change, and the AI boom will be no different. To harness AI’s potential while also addressing major new risks, regulators must take a cooperative international approach.
If we properly understand how collective wisdom improves human decision-making, we can better tap the power of AI to better assess risks like those posed by climate change and calculate responses to the future.
Climate finance has so far largely focused on putting money into efforts to cut carbon emissions. The MSCI Sustainability Institute set out to find the businesses needed to respond to the increasingly unavoidable impacts of a hotter world.
The rise of generative AI has raised concerns over sustainability, security and bias. Integrating with blockchain technology can help — decentralizing systems, improving computational efficiency and improving transparency.
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