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DeepSeek V4 Released: A New AI Market Rally or a Structural Shift? Executive Summary On April 24, 2026, DeepSeek officially launched its V4 preview (Pro and Flash), maintaining full open-source access. While the technical specs (1M token context, Mixture-of-Experts architecture) are impressive, the strategic shift is what matters most: moving from pure "model performance" competition to an ecosystem battle centered on "domestic computing power + cost efficiency." The market reaction was sharply divided: · Chinese chip supply chains surged on a revaluation of domestic computing power. · Nvidia (NVDA) faced renewed pressure as its "China premium" narrative cracked. · AI crypto sectors rotated away from decentralized compute (DePIN) toward AI Agent platforms and real-world applications. Part 1: The Paradigm Shift – From Performance to Cost DeepSeek V4's biggest impact is efficiency: · Inference cost collapse: Flash version costs as little as $0.028 per million tokens (cache hit). Processing the entire Three-Body Problem trilogy costs just a few dollars. · Domestic chip adaptation: V4 is the first trillion-parameter MoE model validated on Huawei's Ascend NPUs (moving from CUDA to the CANN framework). The team confirmed plans to adapt for the Ascend 950 super-node in H2 2026. Part 2: Stock Market Impact – Diverging Paths 2.1 Chinese Computing Supply Chain (Bullish) · SMIC (semiconductor manufacturing) jumped over 10% in Hong Kong; Hua Hong Semiconductor rose 15%+. · Hygon, Cambricon (domestic GPU/AI chips) surged 9%+. · Logic: The market now prices the Ascend 950 as the national computing backbone. Release in H2 2026 locks in strong shipment expectations for domestic chips. Verdict: Long domestic computing power. The "closed loop" of Chinese algorithms + Chinese chips is accelerating. 2.2 Nvidia (NVDA) – Structural Bearish Signals · The "China wall" solidifies: US export restrictions block H200 shipments to China. Meanwhile, Chinese buyers face government approval hurdles for Nvidia purchases. Effective sales to China are near zero for high-end chips. · Valuation risk: DeepSeek V4 proves that world-class models can run without CUDA. Nvidia's ~$50 billion TAM in China is now at risk of permanent erosion. Verdict: NVDA faces a structural de-rating in its China exposure. The previous "panic dip" (post R1) is now giving way to "fundamental substitution." 2.3 US Cloud Giants (GOOGL, MSFT) – Competitive Pressure · Google's Gemini 3.1 Pro must maintain a significant multimodal lead. Otherwise, open-source models like DeepSeek V4 (with near-closed-source coding/reasoning) will undercut pricing across the board. Part 3: AI Crypto Sector – From Compute to Agents The crypto AI sector (TAO, NEAR, FET, etc.) is driven by narrative. DeepSeek V4 rewrites that narrative. 3.1 Weakening Narrative: DePIN / Decentralized Compute · Old story: AI chips are scarce → need blockchain to aggregate global idle compute. · New reality: DeepSeek V4 proves algorithmic efficiency can dramatically reduce compute dependence. With Lenovo, Huawei, and others entering, compute may become a cheap commodity, not a scarce resource. · Conclusion: Pure "compute rental" projects (with no real application) face valuation pressure. 3.2 Strengthening Narrative: AI Agents & Web3 Applications This is DeepSeek V4's biggest gift to crypto: · 1M context + ultra-low cost makes production-grade AI Agents economically viable for the first time. · Crypto use cases: · Autonomous Agent platforms – Agents can now manage treasuries, execute complex on-chain strategies, or arbitrage across DEXs without gas costs eating profits. · GameFi & SocialFi – Dynamic NPCs and personal AI assistants become trivial to integrate. · Data preprocessing – Low-cost context windows allow on-chain data to be meaningfully summarized before hitting layer-2 solutions. Conclusion: The crypto market will rotate from "mining AI tokens" to "AI-driven application tokens." Projects with existing user bases that integrate DeepSeek V4's API gain immediate "IQ uplift." 3.3 RWA & Traditional AI Linkage The Bitget promotion in the screenshot (RWA assets) hints at another trend: As AI drives volatility in traditional tech stocks (the NVDAs and GOOGLs), tokenized RWA versions of these equities may see increased demand from crypto-native funds seeking to hedge AI sector risk. Part 4: Comprehensive Outlook Stock Market Strategy · Long Chinese computing infrastructure (SMIC, Hygon, Ascend ecosystem plays) growth through H2 2026. · Avoid / short pure "Nvidia China chain" – The re-rating has further to go. Crypto Strategy · Sell: Pure narrative DePIN tokens without proven utilization or storage demand. · Buy: AI Agent platforms, Web3 data preprocessing layers, and high-user-interaction DApps (GameFi, SocialFi). · Macro hedge: BTC may dip briefly due to liquidity shifts if AI stocks correct, but could benefit as capital rotates out of overvalued mega-cap tech (BTC +0.00% in the screenshot reflects key观望). Risks · Production bottlenecks: V4-Pro is currently throughput-limited. If Ascend 950 slips beyond H2 2026, the domestic supply chain narrative stalls. · US regulatory retaliation: Tighter controls on open-source model exports or CANN framework restrictions are possible. Final Verdict by INVESTERCLUB; DeepSeek V4 officially marks the second half of the AI race. · First half: Who has the most GPUs? · Second half: Who has the least bottlenecks and lowest inference costs? In traditional equities, this means trading a volatile supply chain reconfiguration. In crypto, it means standing at the doorstep of near-zero marginal cost for AI applications. The first truly breakout on-chain AI-native application may appear within weeks. $NVDAON $GOOGLON $BTC

$FET is starting to look interesting here. On the 4H, there’s a bullish MACD cross while RSI is sitting in the oversold zone, even though MACD is still below the zero line. That kind of setup usually points to an ABC correction wrapping up. There’s no clear divergence on this timeframe, but that’s not a dealbreaker since lower timeframes (like the 1H) are already showing some divergence. From here, I’d expect some strength to build. The key level to watch is around $0.24 if that gets cleared and we manage to reclaim the 4H trend, a move toward $0.28 looks reasonable. I’m currently long, mainly watching for that trend reclaim. Plan is to take most profits around $0.28 and keep a small runner in case momentum continues.

I look at Akash and FET as two different bets. Akash is a decentralized cloud compute marketplace: its own docs call AKT the native utility token for governance, security, and value exchange, and the network is built around buying and selling compute and GPU resources. Fetch.ai, on the other hand, is now wrapped into the Artificial Superintelligence Alliance story, with Fetch.ai saying FET is part of a planned migration toward ASI and that the project centers on multi-agent AI. For me, Akash is the better pick. I like the cleaner value proposition: compute is obvious, demand is easy to understand, and the token has a direct role in the network. FET has a bigger AI narrative, but it also feels more complex because of the ASI transition and the broader alliance structure. So my conclusion is simple: Akash wins for me. If I am choosing one for conviction, I want the one with the most direct utility and the least narrative confusion. That is Akash.

🚨 FETCH AI (FET) UPDATE — AI NARRATIVE BACK IN PLAY 🚨 $FET Just Keeps Getting Attention As AI + Crypto Narrative Heats Up 🤖🔥 📊 Traders Watching: AI Agents Adoption Trend Automation + On-Chain Intelligence Liquidity Rotation From Meme → AI Sector Some Say: “AI Coins Are Early Stage Infrastructure Play” Others Say: “Pure Narrative Cycle Rotation” Either Way… Momentum Is Back In Focus. --- ⚡ AI Narrative Watchlist Heating Up: $FET $TAO $Agix $RndR $Wld