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Economist: AI Productivity Dividend Difficult to Resolve Fiscal Constraints, or Only "Buy Time" for High-Debt Economies

2 hours ago

Feb. 27 – Economists note that even if artificial intelligence (AI) delivers a productivity boom, it won’t fix major economies’ fiscal dilemmas fundamentally—but it could buy them more time to adjust. OECD economist Filiz Unsal says AI-driven productivity growth could boost job creation, pushing debt levels in OECD nations like the U.S., Germany, and Japan 10 percentage points below current 2036 projections. Even so, those levels will still be far higher than today’s. Idanna Appio, a former New York Fed economist, calls productivity gains “magic” for boosting fiscal dynamics—but adds, “Our fiscal problems are far bigger than what productivity alone can solve.” Analysts highlight population aging as a key challenge. Vanguard’s Global Economic Research chief Kevin Khang says the debt’s root cause is aging populations and linked welfare spending: “Fixing this needs fiscal consolidation; AI only buys us time.” Additionally, tax and spending uncertainties remain: If AI causes job losses, or if profits and capital gains accrue disproportionately, government revenues could miss expectations. If productivity gains push up private-sector wages, government labor costs will also rise. Barclays warns that if an economic downturn hits before the AI boom, markets may react nervously to the fiscal trajectory in advance.
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NVIDIA intraday drops by 5.4%, trader CBB increases short position to $15.8 million during this process

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Binance will list ROBO Perpetual Futures Contract

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Yi Li Hua responds to "Jane Street 10 Point Sell-Off" Rumors: No Conspiracy Theory, the Trend is Downward, Wait for Bottom Confirmation Before Buying the Dip

February 27th: Daniel Li, founder of Liquid Capital (formerly LD Capital), addressed social media claims that Jane Street manipulated prices at 10 AM to trigger long liquidations and reap massive profits. His response: “No conspiracy theory—just a downward trend. Buy the dip at mid-levels. For now, keep waiting for confirmation of a bottom before buying the dip again.”

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「Suspected Hype Listing Insider Trading」 Whale's Unrealized Losses Narrowed to Over $13 Million, Average Holding Price Reached $38

On February 27, per monitoring from HyperInsight (https://t.me/HyperInsight), HYPE’s rebound today has narrowed the floating loss on the **whale address linked to suspected insider trading around HYPE’s listing** (0x082e...). Data indicates the position’s floating loss has shrunk from $15.33 million to $13.24 million, while the loss percentage has narrowed from -201.64% to -165.01%. The current position size is ~$40.13 million, with an average entry price of $38.68. HYPE is currently trading at $29.08, and its liquidation price sits at $23.89. No portion of the position has been closed since it was opened. This address ramped up its HYPE long position on Robinhood just before the token’s listing—sparking community insider trading suspicions due to the timing. It remains HYPE’s largest on-chain long position and is still nursing a substantial unrealized loss.

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Cardone Capital is preparing to tokenize its real estate assets and is seeking a Layer 2 scaling solution partner

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Vitalik Voices Support for Haseeb: Has Built One of the Best Partner Teams, is a Team Leader

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