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WATCH: Stellar CBO says crossborder payments remain one of $XLM's biggest opportunities. Raja's point is moving money globally is still too slow, exactly the problem @StellarOrg was built to solve. And as stablecoins keep scaling + Stellar's role in stabelcoins and global

Stellar's Chief Business Officer said cross-border payments remain a major opportunity for the Stellar network's digital token, XLM. He argued that moving money globally is still too slow, which is the problem Stellar was created to address.

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What happened

Stellar's Chief Business Officer said cross-border payments remain a major opportunity for the Stellar network's digital token, XLM. He argued that moving money globally is still too slow, which is the problem Stellar was created to address.

Confirmed

Global impact / market context

If Stellar can make international money transfers faster, more businesses and people might use its network. This could increase demand for XLM, which is the token used to pay for transactions on that network, potentially boosting its value and Stellar's revenue.

Analyst inference

Stablecoins, which are digital currencies designed to hold a steady value, are growing in use. Stellar's role in this area could make its network more important for everyday payments. This positions the project within the broader trend of digital money modernization.

Analyst inference

What to watch

  1. Watch for any official announcements from Stellar about new partnerships or technical upgrades aimed specifically at speeding up cross-border payment services, as the executive highlighted this as a key focus area. Confirmed
  2. Investors should consider monitoring the actual transaction volume on the Stellar network over the coming quarters to see if the cross-border opportunity translates into real-world usage and demand for XLM. Proposed
  3. Watch whether larger stablecoin issuers choose Stellar's network for new integrations or expansions, as this would directly support the executive's claim and could drive more activity and value to the network. Analyst inference

Evidence