Bitcoin (BTC) Surge

Author: Sevclub, Seven Research Amid Bitcoin's recent drop below $60k, the author reflects on a growing sense that AI and Bitcoin are two sides of the same coin. Today, encountering any content triggers a new default question: "Was this made by AI?" The cost of generating convincing text, images, and video is now negligible. While the internet lowered information *distribution* costs, AI is crashing information *production* costs to near zero. The consequence is a flood of content where truth and falsehood are increasingly indistinguishable. In this environment, what becomes truly valuable is not more information, but the ability to verify what is real—"verifiability." This reframes the common criticism that Bitcoin "wastes electricity." AI consumes power to produce "capability" (e.g., more powerful models). Bitcoin consumes power to produce something else: "verifiability." Bitcoin's core purpose isn't about belief or trust in any institution, developer, or even its creator. It's about enabling independent verification. Every bitcoin's origin, every transaction, and the integrity of the entire ledger are secured by mathematics, cryptography, and a global network of nodes. AI can fabricate convincing media, but it cannot falsify a transaction on the Bitcoin network. The expended energy makes篡改历史 (tampering with history) prohibitively expensive, purchasing a globally verifiable ledger. The author draws a historical parallel to the Renaissance. The printing press drastically reduced the cost of copying knowledge, while double-entry bookkeeping reduced the cost of trust in commerce—one enabled creation, the other verification. Today, AI is the new printing press, driving content production costs toward zero. The question becomes: what is this era's "double-entry bookkeeping"? Blockchain appears to be the leading candidate. It doesn't verify which news is true or which image is real, but it provides a foundational layer for independently verifying asset ownership and historical records in the digital realm without centralized authorities. Therefore, AI and blockchain are not in competition. AI lowers the cost of *generation*. Blockchain (and Bitcoin as a prime example) lowers the cost of *verification*. One creates, the other proves. Whether Bitcoin ultimately succeeds remains uncertain, facing potential challenges from quantum computing, regulation, and technical evolution. However, the author now sees it less as a "machine for making bitcoin" and more as a "machine for making verifiability." In an age where AI can generate anything, true scarcity may no longer be "more content," but "more independently verifiable facts." Whether the market will price this accordingly is a separate question.

As Bitcoin falls below $60,000, the author reflects on the relationship between AI and Bitcoin, seeing them as two sides of the same coin. In the AI era, the cost of generating content has plummeted, making fake text, images, and videos increasingly easy and cheap to produce. This has led to a fundamental shift: while AI dramatically lowers the cost of information production, it also undermines trust and authenticity online. What becomes truly valuable is not more content, but the ability to verify what is real—"verifiability." This perspective offers a new lens for Bitcoin. Its massive energy consumption, often criticized as wasteful, is reinterpreted. While AI burns energy to enhance "capability" and efficiency, Bitcoin burns energy to produce "verifiability." Its purpose is not to be trusted but to enable a system where no trust in intermediaries—banks, platforms, or developers—is needed. Every transaction and the entire ledger's history is secured by cryptography and a decentralized network of nodes, making it independently verifiable. AI cannot forge a transaction on the Bitcoin network because the system is designed for proof, not generation. The author draws a historical parallel to the Renaissance: the printing press drastically reduced the cost of copying knowledge, while double-entry bookkeeping reduced the cost of trust in commerce. Today, AI is the new printing press, reducing content creation costs to near zero. Blockchain, and Bitcoin as its pioneer, may be the modern equivalent of double-entry bookkeeping—a foundational technology for verifying digital asset ownership and historical records without centralized authorities. Thus, AI and blockchain are not competitors. AI lowers the cost of creation; blockchain lowers the cost of verification. In an age where AI can generate anything, true scarcity may lie not in more content, but in independently verifiable facts. Whether the market will reprice Bitcoin accordingly remains uncertain, but its core value proposition as a "machine for producing verifiability" becomes strikingly relevant.

Grant Cardone's firm Cardone Capital increased its Bitcoin holdings to approximately 2,700 BTC, purchased at an average of $59,000, amid a market downturn. This accumulation contrasts with actions from MicroStrategy, the largest corporate holder, which recently authorized selling up to $1.25 billion worth of Bitcoin after its first-ever sale in June. The broader market also saw significant selling pressure, with U.S. spot Bitcoin ETFs experiencing a record net outflow of roughly $4.06 billion in June. However, technical analysis using Bollinger Bands on the weekly chart suggests Bitcoin may have reached a potential bottom, as the price touched the lower band—a historical support level.

Bitcoin's price has declined recently, falling below $60k and triggering significant long liquidations. Analysts observe a descending triangle pattern repeating from the 2021-2022 cycle, suggesting a potential market bottom may take time to form, with a bullish turnaround possible by Q4 2026. Key on-chain metrics, like the long-term holder MVRV ratio compressing to a three-year low of 1.24, indicate the market is nearing historical cycle lows but has not yet reached the definitive capitulation zone. The breach of the 200-week moving average aligns with the typical 4-year cycle pattern. However, a high long/short ratio suggests excessive bullish positioning, which could lead to further selloffs and long squeezes in the near term. In summary, while Bitcoin shows signs of approaching a bottom based on past cycles, several indicators suggest the downturn may not be over.

Grayscale Research suggests Bitcoin's recent decline below $60,000, a >50% drop from its October peak, represents a cyclical correction within a long-term uptrend rather than a trend reversal. Key factors behind the pullback include a shift in market expectations toward Federal Reserve rate hikes under new Chair Kevin Warsh, uncertainty around the CLARITY Act's Senate passage, pressure on leveraged entities like Strategy, and concerns over quantum computing risks. The path out of the current bear market hinges on upcoming catalysts. An optimistic scenario, where the CLARITY Act passes, leverage is contained, and the Fed refrains from hiking, could mean Bitcoin is nearing its cycle bottom. A pessimistic scenario, featuring legislative failure, further deleveraging, and Fed rate hikes, could lead to additional moderate downside. Grayscale does not expect a historically deep ~80% drawdown due to a more measured prior bull run and stickier institutional demand. Despite short-term headwinds, Grayscale remains highly optimistic about crypto's long-term structural prospects, driven by institutional adoption of public blockchains, unsustainable government debt, declining trust in intermediaries, and AI's potential demand for alternative systems. The report concludes that while the exact cycle low depends on near-term catalysts, current valuations present an attractive entry point for long-term investors betting on the decade-ahead growth of digital assets.