Stablecoins and AI Could Drive Post-Trade Shakeup

In-Depth Analysis

Citi's "Securities Services Evolution" whitepaper highlights the transformation of the post-trade industry. The increasing adoption of tokenized assets, particularly bank-issued stablecoins, is expected to drive significant market turnover by 2030. The transition to T+1 settlement cycles necessitates automation, with firms actively piloting GenAI for various applications.

**How to Prepare:**

**Stay informed:** Keep up with the latest developments in tokenization, stablecoins, and AI within the financial sector.
**Assess your infrastructure:** Evaluate your current systems and identify areas where automation and digital asset integration can improve efficiency.
**Explore pilot programs:** Consider participating in or initiating pilot programs focused on GenAI and tokenization to understand their practical applications.

**Who This Affects Most:**

Custodians
Broker-dealers
Asset managers

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FAQ

What percentage of market turnover is expected to be tokenized by 2030?

Citi estimates that 10% of market turnover could be conducted through tokenized assets by 2030.

What are the primary use cases for GenAI in the post-trade industry?

Client onboarding and post-trade reporting are the key use cases for asset managers, custodians, and broker-dealers.

Takeaways

Tokenization, especially through bank-issued stablecoins, is set to become a major force in the financial industry.
AI-driven automation is essential for adapting to accelerated settlement cycles like T+1.
Keeping abreast of these technological advancements can provide a competitive edge in the evolving post-trade landscape.

Discussion

Do you think stablecoins and AI will successfully revolutionize the post-trade industry? Let us know!

Share this article with others who need to stay ahead of this trend!

Sources

Citi Says Stablecoins and AI Could Drive Post-Trade Shakeup Crypto expected to handle a tenth of post-trade market by 2030: Citi survey Citibank: Digital assets could represent 10% of global trading

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