SharpLink CEO cites research saying AI-agent finance could reshape 4 trillion USD in revenue by 2035
BIBIBI
AT A GLANCE
A research model estimates that the integration of AI agents and other elements could drive the financial industry into the era of “agentic finance.”
Article
Analysis: AI agents may reshape the financial industry, creating 4 trillion USD in value annually by 2035
PANews reported on September 23 that SharpLink CEO Joseph Chalom wrote that a related research model estimates that, by 2030, more than 1 trillion USD in annual revenue in the global financial services industry will face reallocation, and that this figure could rise to 4 trillion USD by 2035. The model believes that the integration of four elements—stablecoins, real-world asset (RWA) tokenization, DeFi, and AI agents—will drive the financial industry into the era of “agentic finance.” The research estimates that by continuously optimizing banking, trading, and lending fees, AI agents could help investors save approximately 350 billion USD annually by 2030, rising to 1.4 trillion USD by 2035, equivalent to eliminating nearly one-quarter of fees in the global financial industry. Meanwhile, Visa, Mastercard, Strip...
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🔗 https://www.panewslab.com/zh/articles/01a0ce49-3387-75b1-9caf-358e7acb9428
Key points
01
PANews reported on September 23 that SharpLink CEO Joseph Chalom wrote that a related research model estimates that, by 2030, more than 1 trillion USD in annual revenue in the global financial services industry will face reallocation.
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The model estimates that this figure could rise to 4 trillion USD by 2035.
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The model believes that the integration of four elements—stablecoins, real-world asset (RWA) tokenization, DeFi, and AI agents—will drive the financial industry into the era of “agentic finance.”
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The research estimates that AI agents could help investors save approximately 350 billion USD annually by 2030, rising to 1.4 trillion USD by 2035.
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The research estimates that the aforementioned savings would be equivalent to eliminating nearly one-quarter of fees in the global financial industry.
AI-assisted interpretation
The following is analysis, separate from reported facts. Verify important claims independently.
The report presents a research model’s forecast: combining multiple digital finance elements with AI agents could alter the distribution of financial revenue and help investors reduce some fees.
Why it matters to readers
If the forecast proves accurate, the revenue and fee structures of financial services could undergo significant changes.
A simple way to understand it is that AI agents may continuously help users optimize banking, trading, and lending fees.
Risks and unknowns
The original text presents an analysis and research model forecast but does not provide the model’s source, methodology, or validation results.
The original text is truncated at “Visa, Mastercard, Strip...,” so the related content is incomplete.
The report does not clearly state whether the forecast will materialize.
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AI Agents
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