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Zebux Media
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🚨 BREAKING: Big Tech AI borrowing hits record $120 billion in 2025 ⚡ $ZAMA $ZIL $RIVER ⚡ Big Tech firms issued a record $120 billion in corporate debt in 2025 to fund AI-related investments, marking a +500% surge compared to 2024 levels. This total also exceeds the combined issuance of the previous four years. Companies like Amazon ($AMZN), Google ($GOOGL), Meta ($META), Microsoft ($MSFT), and Oracle ($ORCL) are expected to increase debt issuance by another +18% in 2026, potentially raising $142 billion. In a more aggressive scenario, total AI-related debt could reach $317 billion, representing a +164% YoY jump. The scale of these borrowings highlights how corporate America is betting heavily on AI growth. On-chain and market data suggest that investor focus is shifting toward companies with substantial AI investments, signaling long-term strategic positioning rather than short-term speculation. Debt issuance volatility may continue in the near term. Participants should monitor macroeconomic trends, corporate balance sheets, and AI investment disclosures for insights into risk and opportunity. #AI #TechDebt #BigTech #ZebuxMedia #Macro {future}(RIVERUSDT) {spot}(ZILUSDT) {spot}(ZAMAUSDT)
🚨 BREAKING: Big Tech AI borrowing hits record $120 billion in 2025

$ZAMA $ZIL $RIVER ⚡

Big Tech firms issued a record $120 billion in corporate debt in 2025 to fund AI-related investments, marking a +500% surge compared to 2024 levels. This total also exceeds the combined issuance of the previous four years.

Companies like Amazon ($AMZN), Google ($GOOGL), Meta ($META), Microsoft ($MSFT), and Oracle ($ORCL) are expected to increase debt issuance by another +18% in 2026, potentially raising $142 billion. In a more aggressive scenario, total AI-related debt could reach $317 billion, representing a +164% YoY jump.

The scale of these borrowings highlights how corporate America is betting heavily on AI growth. On-chain and market data suggest that investor focus is shifting toward companies with substantial AI investments, signaling long-term strategic positioning rather than short-term speculation.

Debt issuance volatility may continue in the near term. Participants should monitor macroeconomic trends, corporate balance sheets, and AI investment disclosures for insights into risk and opportunity.

#AI #TechDebt #BigTech #ZebuxMedia #Macro


🚨 WALRUS PROTOCOL EXPOSES HIDDEN DANGER! 🚨 Stop building on assumptions that will crush you later. $WAL forces critical decisions about ownership and lifetimes upfront. This isn't about rules; it's about making risk transparent before shortcuts become catastrophic liabilities. Get ahead of the technical debt. The time to decide ownership is NOW. #CryptoAlpha #DeFi #WalrusProtocol #TechDebt 🛠️ {future}(WALUSDT)
🚨 WALRUS PROTOCOL EXPOSES HIDDEN DANGER! 🚨

Stop building on assumptions that will crush you later. $WAL forces critical decisions about ownership and lifetimes upfront.

This isn't about rules; it's about making risk transparent before shortcuts become catastrophic liabilities. Get ahead of the technical debt.

The time to decide ownership is NOW.

#CryptoAlpha #DeFi #WalrusProtocol #TechDebt 🛠️
🚨 WALRUS IS FAILING SILENTLY: THE DANGER OF "IT WORKS WHEN IT WORKS" 🚨 The system looks green until it doesn't. Reliability is turning selective right against epoch boundaries. This isn't a 404; it's worse—it's flaky serving. • Data is technically there but behaves like it has preferences. • Friction turns "permissionless" into intermittent serving. • Operators face tough choices: Repair queues vs. normal serving. Are we answering partner availability questions with evidence or vibes? When serving gets spotty, users only see what loads NOW. That hold-step stays until someone can sign 'dependable' for real. #WalrusProtocol #SystemReliability #TechDebt #DataDurability 🛑
🚨 WALRUS IS FAILING SILENTLY: THE DANGER OF "IT WORKS WHEN IT WORKS" 🚨

The system looks green until it doesn't. Reliability is turning selective right against epoch boundaries. This isn't a 404; it's worse—it's flaky serving.

• Data is technically there but behaves like it has preferences.
• Friction turns "permissionless" into intermittent serving.
• Operators face tough choices: Repair queues vs. normal serving.

Are we answering partner availability questions with evidence or vibes? When serving gets spotty, users only see what loads NOW. That hold-step stays until someone can sign 'dependable' for real.

#WalrusProtocol #SystemReliability #TechDebt #DataDurability 🛑
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