Based on industry news from the past week, the crypto and tech markets are in a very interesting phase—full of contradictions, and packed with lively debates about where the future is headed.

It starts with the Anthropic drama that refused the Pentagon. The story is that the Pentagon asked Anthropic to remove safety guardrails from their models for “autonomous weapons” and “mass surveillance,” but Anthropic said they couldn’t do it without a written guarantee. As a result, Trump immediately ordered all federal agencies to stop using Anthropic products and canceled contracts worth $200 juta. Interestingly, Sam Altman from OpenAI publicly supported this Anthropic decision. But the community was immediately split—some see it as a strong ethical AI principle, while others worry it weakens national security. A political commentator said: “If America doesn’t develop this, China and Russia will.” So the debate ultimately boiled down to ethics versus national security—classic.

Then there’s OpenAI’s funding of $110 miliar. This smashed a record as one of the largest private funding rounds in history. NVIDIA contributed $30 miliar, Amazon even put in $50 miliar, and SoftBank also joined in. In the last 4 months alone, OpenAI has gathered more than $40 miliar. But this has also triggered a major round of debate right away. OpenAI’s 2025 revenue is expected to be only $13 miliar, while the projected cumulative loss could be more than $115 miliar. A Wall Street veteran said that in his 45-year career, he has never seen three of the smartest investors put out $110 miliar for a company that is losing money. So the question is: is this necessary infrastructure investment, or is it a new bubble forming?

On the other hand, Block announced layoffs of 40% of (4000 employees), with the engineering team taking a 70% cut. Jack Dorsey said code output per engineer is up 40% since last September, mainly because of AI tools. This immediately sparked discussions about AI’s impact on the job market. Some say this proves that AI is reshaping the labor structure, while others say it’s just a correction following over-hiring during the pandemic. But the market reaction was positive—Block’s shares rose 24% after the announcement.

From the ecosystem side, Ethereum development is starting to look clearer. Vitalik rarely shares specific timelines, but this time he announced that ZK-EVM clients will begin verifying the network in 2026, with an initial 5% dependency, then gradually increasing it in 2027. The community is fairly optimistic about this, viewing it as a signal that the upgrade roadmap is becoming more concrete. But there are also concerns about centralization risks if it becomes too dependent on ZK clients.

Morpho’s DeFi protocol is performing far better than AAVE in this bear market. Morpho has only dropped 39% from its ATH, and is up 155% year-to-date. A researcher argues this is due to its simple governance structure—Morpho doesn’t have conflicts between Labs, the DAO, and the core team. AAVE, meanwhile, often has governance debates that make investors worried about decision-making efficiency.

For AI Agents, there’s interesting development within the Base ecosystem. DX Terminal Pro launched a large-scale Agent trading experiment with $4.5 million in trading during the first hour. The Towns app update also allows AI Agents to make direct bets or open positions in group discussions. This is seen as early exploration of “agent-based applications.” The concept is that the Agents’ economy is a “machine calling machine” system, so future developer tools need to be designed around APIs, automatic registration, and payment mechanisms—not traditional human UI.

The Solana ecosystem is also moving forward—SoFi (licensed US bank) now officially supports Solana network assets. 13.7 million users can hold and transfer SOL directly through a banking app, without needing to go through crypto exchanges. This is considered a significant signal of deep integration between traditional finance and public blockchain infrastructure. But there are also privacy concerns—all transactions must go through a KYC system, which might weaken the anonymity that crypto originally emphasized.

The crypto ETF race is also accelerating. Bitwise has formally submitted an XRP spot ETF application, making it the next major crypto asset that could potentially enter the ETF market after Bitcoin and Ethereum. Large institutions managing (trillion assets and serving 18+ million customers are also pushing for Bitcoin and Ethereum ETF registrations. This is seen as a potential “gateway for traditional capital” to enter the crypto market. But some are skeptical—if this is truly bullish, why is the total crypto market cap still stuck at $1.3 trillion?

On the venture capital side, Paradigm )prominent crypto VC firm$7 is planning to raise up to $1.5 billion for a new fund, expanding its scope into AI, robotics, and advanced technology. Matt Huang previously stated that AI is “too interesting to ignore.” This sparks debate over whether this is a natural integration between crypto capital and AI technology, or whether crypto firms are just chasing the next growth narrative. Some cynically say: “all crypto companies eventually become true tech companies,” or “sell tokens for funding first, then do real business.”

There’s also an interesting development regarding prediction markets. OpenAI recently fired an employee who allegedly used insider information to trade on Polymarket and Kalshi. This triggered discussion about information asymmetry risks in prediction markets. As prediction markets grow in influence within finance and politics, regulatory issues will become more complex.

Hyperliquid is the only DAT (Digital Asset Treasury) project that has achieved profitability—showing unrealized gains of around (juta. The project holds 17 million HYPE tokens and continuously adjusts its asset structure through OTC trading and buyback mechanisms, while also providing a real-time NAV dashboard for transparency. Some market participants believe this transparent asset structure could become a reference model for future DAT projects.

In short, if we view these developments as important industry notes, several clear themes are emerging: first, increasing tension between corporate ethics and national security interests in AI development; second, massive capital inflows into AI are creating potential valuation mismatches with actual commercial returns; third, AI tools are reshaping labor structures in the tech industry; and fourth, traditional finance infrastructure is increasingly integrating with crypto and blockchain systems, bringing both opportunities and new regulatory complexities. The crypto and tech markets are in a transitional phase—full of uncertainty, but also full of potential for significant structural changes.