XRP vs XLM: Best Cryptocurrency to Replace SWIFT? Grok AI & ChatGPT Reveal Surprising Insights

3 min read

XRP or XLM, Which is Best to Replace SWIFT? Grok AI and ChatGPT Share Shocking Results

AI models from xAI and OpenAI’s ChatGPT have identified the XRP Ledger and Stellar (XLM) as the leading blockchain networks that could potentially replace the traditional SWIFT system. SWIFT, which connects more than 11,000 financial institutions globally, has long been the standard for cross-border messaging. However, it faces criticism due to elevated transaction costs, slow processing times, and inherent centralization issues.

### Grok AI Selects XRP Ledger

In an assessment, Grok AI analyzed various blockchain platforms based on key performance indicators such as transaction speed, cost-effectiveness, scalability, security, interoperability, adoption rates, and regulatory compliance. The analysis concluded that the XRP Ledger stands out as a prime candidate for replacing SWIFT. Grok noted that transactions on the XRP Ledger are executed within a mere 3 to 5 seconds, a stark contrast to SWIFT’s processing period of 1 to 5 days. Additionally, transaction fees on the XRP Ledger are significantly lower, typically just a fraction of a cent, compared to SWIFT’s fees that can range from $15 to $50 per transaction. The XRP Ledger is capable of processing approximately 1,500 transactions every second. Furthermore, the Ripple Payments service, which includes over 300 financial institutions such as Santander, Standard Chartered, and American Express, indicates strong traction within the financial sector. The AI also pointed out that the XRP Ledger is compatible with conventional banking systems, minimizing the risks associated with centralized points of failure due to its decentralized validator framework. Nonetheless, it warned that ongoing regulatory challenges, particularly the SEC lawsuit in the United States, and Ripple’s more limited institutional network compared to SWIFT could pose significant obstacles.

### Stellar Earns a Close Second Place

Stellar (XLM) was recognized as a strong contender, closely following XRP Ledger. Grok highlighted Stellar’s transaction times, which range from 2 to 5 seconds, and its extremely low fees of approximately 0.00001 XLM. The network can handle around 1,000 transactions per second and has been integrated into projects like IBM’s World Wire and MoneyGram. Moreover, Grok mentioned that Lightnet, a fintech startup with $31.2 million in funding, is utilizing Stellar to develop a SWIFT alternative targeting the Asian market. While Stellar’s institutional adoption is not as advanced as Ripple’s, its initiatives in emerging markets and remittance channels position it as a viable complementary option.

### Examination of Other Blockchain Solutions

Grok also pointed out three additional blockchain platforms—Hedera Hashgraph, Ethereum with its Layer-2 solutions, and the XDC Network—as potential complementary technologies. For instance, Hedera is noted for its high throughput of 10,000 transactions per second and robust security through asynchronous Byzantine Fault Tolerance (aBFT) consensus, backed by major corporations like Google and IBM. Ethereum’s capabilities in smart contracts and its institutional pilots using Layer-2 solutions such as Arbitrum and Optimism were also acknowledged, despite concerns over its higher base fees and slower speeds. Additionally, XDC was identified for its compatibility with the ISO 20022 messaging standard and its focus on trade finance, making it a suitable complement for specialized financial systems.

### ChatGPT Also Endorses XRPL

When asked about alternatives to SWIFT, ChatGPT emphasized that SWIFT functions primarily as a secure messaging network rather than a payment system. For a blockchain to effectively replace or enhance SWIFT, it must satisfy six essential criteria: global interoperability, high security, speed, regulatory compliance, privacy, and operational reliability. In ChatGPT’s analysis, the XRP Ledger emerged again as the top candidate. The Ripple Payments network is already operational worldwide, linking numerous banks and financial institutions. Its unique messaging layer coupled with instant settlement using XRP positions it favorably to supersede SWIFT’s aging infrastructure. ChatGPT cited live implementations by significant entities like Santander and SBI Holdings as evidence of XRPL’s capability to take on the role of SWIFT.

### Stellar Recognized for Its Potential

Stellar was similarly acknowledged for its effectiveness in enabling rapid, low-cost international payments. ChatGPT noted Stellar’s strong presence in remittances and real-time currency exchange, with active usage by platforms such as IBM’s World Wire and various banks. However, it did recognize that Stellar’s adoption among larger institutions is still somewhat limited compared to Ripple.

### Overledger, Ethereum, and Corda

Interestingly, ChatGPT also identified Quant’s Overledger Network as a potential candidate for replacing SWIFT due to its emphasis on interoperability. Quant’s efforts to bridge blockchain technology with legacy systems have made it notable in banking applications. Engagements with central banks and financial organizations highlight its practical relevance. Additionally, ChatGPT recognized Ethereum’s private variants, such as ConsenSys Quorum, as robust complements to SWIFT, with entities like JPMorgan exploring these frameworks for cross-border transactions and tokenized asset transfers.

### Summary of Findings

ChatGPT also mentioned Corda (developed by R3) and Hyperledger Fabric, emphasizing their enterprise-grade capabilities. However, these technologies were regarded more as supplementary solutions rather than direct replacements. Overall, both AI systems evaluated numerous blockchain platforms but consistently identified the XRP Ledger as the most promising alternative to SWIFT.

### Disclaimer

This article is intended for informational purposes only and should not be construed as financial advice. The opinions expressed in this text may reflect the writer’s personal views and do not necessarily represent the stance of any associated organizations. Readers are encouraged to conduct their own research prior to making any financial decisions, as the authors are not liable for any financial losses incurred.