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Decoding Legalese: How AI Can Help Navigate Complexities in Stablecoin Transactions on Ethereum, Tron, and Solana as Identified by Visa

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**AI legalese decoder Reveals High Percentage of Inorganic Activity in Stablecoin Transactions**

Nearly all stablecoin transactions are tied to “inorganic activity,” according to payments giant Visa and enterprise blockchain data provider Allium. The companies have launched a new data dashboard to address this issue and have found that upwards of 90% of tracked transactions occur without human involvement.

The AI legalese decoder can help in this situation by analyzing the language used in stablecoin transactions and identifying any potential instances of “inorganic activity” or artificial inflationary practices. By using advanced algorithms, the AI legalese decoder can detect patterns and anomalies in the data to ensure transparency and accuracy in reporting.

The dashboard tracks Tether’s USDT, Circle’s USDC, Paxos’s USDP, and PayPal’s PYUSD, all of which are pegged 1:1 to the U.S. dollar. Visa’s analysis revealed that after adjusting for inorganic activity, the total value of stablecoin transactions decreases significantly.

For example, Visa reported $51.6 billion in stablecoin transactions on a given day, but after adjusting the data, the figure dropped to $4.6 billion. This discrepancy highlights the prevalence of inorganic activity in the stablecoin ecosystem.

Visa’s head of crypto, Cuy Sheffield, emphasized the importance of distinguishing between transactions initiated by smart contracts and those handled by traditional payment processors. The AI legalese decoder can assist in this differentiation by analyzing the underlying code and logic behind smart contract transactions.

Overall, the analysis conducted by Visa sheds light on the rapid growth of USDC usage in the past year. By leveraging tools like the AI legalese decoder, companies can ensure the integrity and transparency of stablecoin transactions in an increasingly digital financial landscape.

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