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HIVE leans into two supercycles: Bitcoin mining and AI HIVE Digital Technologies wants to be more than a Bitcoin miner. Fiscal 2026 revenue jumped 158% to $297.8M, with bitcoin:native output more than doubling to 2,885 coins. But the bigger bet is AI. Its HPC arm is already live and...

41,458 просмотров • 2 месяцев назад •via X (Twitter)

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The biggest Bitcoin miners on earth are quietly walking away from mining Bitcoin, and the reason is not the one everyone keeps repeating. They are not fleeing a dead business. They lost an auction for their own power, and the winner was artificial intelligence. Start with the brutal arithmetic. It now costs the average public miner around $80,000 in cash to produce a single Bitcoin, and for stretches of this year $BTC traded below that. The most efficient operators on the cheapest power still clear a margin, but an estimated 15 to 20 percent of the global fleet is mining at a loss right now, burning more in power than the coins are worth the second they are minted. Three straight downward difficulty adjustments earlier this year, the first such streak since 2022, were the footprint of machines going dark. That looks like a simple story of a broken business until you see the number that explains the exodus. The same megawatt of power that earns a Bitcoin miner roughly $1 million a year earns between $10 and $20 million a year hosting AI compute. Ten to twenty times more, for the identical electricity, substation, and cooling. What made industrial miners valuable was never the mining. It was the power contracts, the land, the grid interconnects. AI walked in and bid an order of magnitude higher for exactly those assets. Mining did not fail. It got outbid for its own infrastructure. When Core Scientific runs its BTC segment at a negative margin while its AI colocation business prints money, the decision writes itself. CoinShares estimates listed miners could pull up to 70 percent of their revenue from AI by year end, up from about 30 percent. The power is being repriced to its highest use, and Bitcoin lost the bidding. If the giants leave, what happens to the network they secured? The doom posts assume it weakens. It does not, because Bitcoin has a self-healing reflex written into its core. When miners switch off, blocks slow, and within two weeks difficulty automatically drops, which makes mining cheaper and more profitable for everyone still running. The security does not vanish, it relocates, and you can already see where. State-backed pools are appearing, with one Gulf operator reportedly standing up a national pool near 3 percent of global hashrate, alongside private fleets and the handful of public miners like Marathon still choosing to buy Bitcoin rather than lease their power away. The network even hit an all-time high above one zettahash this year as the pivot accelerated. It does not need any particular miner. It needs someone, somewhere, for whom the math still works, and cheap stranded power has no shortage of those. But there is a deeper timer here, and the AI pivot just exposed it. Today miners earn almost everything from the block subsidy and almost nothing from fees, often under one percent of revenue on a quiet day. That subsidy halves again in 2028, and every four years after, marching toward zero. For Bitcoin to pay for its own security forever, fees eventually have to replace it. The open question is whether they can, and the evidence cuts both ways. On busy days, during token launches and inscription waves, fees have already spiked past 15 percent of revenue, and in 2024 some blocks earned more in fees than the entire subsidy. The capacity is there in bursts. Whether bursts become a baseline is the single most important unanswered question in Bitcoin. The AI exodus did not create that question. It pulled the cover off it years early, and showed how fast capital abandons hashing the moment something pays more. So the honest read is not that AI kills Bitcoin mining. It is stranger than that. AI is the first bidder rich enough to reveal what Bitcoin's security was always quietly worth, and what it will cost to keep once the free coins stop coming. The miners are not abandoning a sinking ship. They are selling the deck to a higher bidder while the same clock everyone forgot about keeps ticking underneath.

Shanaka Anslem Perera ⚡

90,659 просмотров • 1 месяц назад

32 coins. $2.5 million. 0.0038% of the stack. That is the sale the market is now blaming for a $3 billion liquidation cascade and a Bitcoin price nearly halved from its peak. A $2.5 million sale cannot move a trillion-dollar asset. It is a rounding error. In the same week, Strategy raised $128.3 million selling its own stock, 50 times larger. It did not need to sell coins. It chose to. The crash has real drivers: a record 13-day run of ETF outflows, a rotation into AI, a Fed in no hurry to cut. But the accelerant the market keeps naming is 32 coins. The coins were never the point. The signal was. And the signal was deliberate. Michael Saylor told the Q1 call he would “probably sell some bitcoin to pay a dividend just to inoculate the market and send the message that we did it.” His logic was sound: prove the Bitcoin is usable capital, not a vault that can never be opened, and show he is not a prisoner of his own vow. His “never sell” always meant be a net accumulator. He is up more than 170,000 coins this year against the 32 he sold, and he scores himself on one number, Bitcoin per share. By that math, defending the dividend with a sliver was discipline, not distress. The market read it as the opposite. The dose became the catalyst now blamed for the crash. The inoculation became the infection. Because what changed was never Strategy’s solvency. It was its identity. The market has stopped pricing a permanent holder and started pricing what the filings always described: a state-contingent allocator now funding its own preferred dividends, at the margin, from the Bitcoin beneath them. And the buffer is thinning. The cash reserve behind those dividends has fallen from $2.25 billion to $900 million. Against a preferred bill near $1.7 billion a year, that is roughly 6 months of runway. Be precise. This is not a death spiral. Strategy still holds 843,706 Bitcoin, worth more than $50 billion even now, and has more funding levers than almost any company alive. A real rally makes this a footnote, and the sell-side calling the reaction overdone is not wrong on the fundamentals. But the regime has changed. The question is no longer Bitcoin’s price on any given day. It is the cadence of the dividend declarations and the path of that reserve. Bitcoin did not acquire a yield. The wrapper acquired liabilities. This week the market learned that difference costs far more than 32 coins.

Shanaka Anslem Perera ⚡

165,572 просмотров • 2 месяцев назад

The evolution of AI in music is a fascinating and transformative trend. AI agents are increasingly being viewed not just as tools but as creative collaborators that expand the possibilities of composition and production. Artists like are highlighting how AI can offer fresh sonic landscapes, remix ideas, and inspire innovative approaches to music creation. Already, platforms like @lyra_virtuals are proving that AI-generated music is more than a concept, it’s being released on major digital streaming platforms, setting the stage for broader industry adoption. The integration of AI in music signals a shift toward data-driven creativity and enhanced production methods. Opulous promises to push these boundaries even further via 💡Royalty Prediction: Leveraging AI to forecast revenue more accurately, which could lead to fairer and more transparent revenue distribution. 💡 Strategy Automation: Using AI to optimize marketing and distribution strategies, helping artists and labels navigate the competitive landscape. 💡 AI Native Music Ecosystems: Creating an environment where every facet of music creation, distribution, and monetization is intertwined with AI, potentially lowering barriers for emerging talent and redefining industry standards. While these innovations hold immense promise, they also raise important questions about artistic authenticity, copyright, and the role of human creativity. Balancing technological advancement with the preservation of artistic identity will be crucial as the industry evolves. AI-driven transformation represents a creative and business revolution in music, ushering in a new era that challenges traditional paradigms and inviting thoughtful discussion on the future of art and technology. $OPUL

🕊Doings 🍃🍃

187,757 просмотров • 1 год назад

The best time to understand a product is before everyone else is using it That’s one reason I’ve been following Quant AI With 100,000+ people already on the waitlist ahead of its public launch, interest is clearly building around what Quant AI is creating What stands out to me isn’t just the numbers It’s the problem the product is trying to solve Instead of adding another layer of charts, indicators, and dashboards, Quant AI is focused on making market research easier to navigate. With Quant AI, users can: ➫ Explore markets through natural conversations ➫ Follow crypto, stocks, and commodities from one interface ➫ Use chat and voice instead of constantly switching between tools ➫ Understand both opportunities and risks before taking action ➫ Move from research to execution through a simpler workflow We already have access to more market data than ever before The challenge isn’t finding information It’s knowing what matters That’s where I think Quant AI is taking a different approach, helping users spend less time searching and more time understanding. Maybe that’s one reason the waitlist has grown so quickly. People aren’t just looking for another trading platform. They’re looking for a better way to make sense of the markets. If you’re curious about where AI and financial intelligence are heading, now is a good time to explore what Quant AI is building before the public launch. Join the whitelist 👇 #QuantAIPioneers

Habibiofcrypto

146,787 просмотров • 1 месяц назад