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AI’s Promised Abundance Comes at a Cost for Crypto

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As AI promises to dramatically compress costs and reshape production, a provocative narrative has taken hold: in an era of AI abundance, virtually everything could become free. Proponents argue that autonomous factories, vast automation, and near-limitless solar energy could push marginal costs toward zero for many goods and services. Yet a closer look at physics, energy economics, and the architecture of infrastructure reveals a more nuanced path from abundance to broad access — one that depends on the ownership and scale of the systems that actually run things.

Opinion by: Merav Ozair, PhD, blockchain and AI senior advisor.

Key takeaways

  • Near-zero marginal costs for many digital and even some physical goods are plausible in an AI-driven economy, but energy and AI infrastructure remain the real bottlenecks that prevent a universal “free” regime.
  • AI factories — specialized, high-performance data centers and automation platforms — would drive productivity gains, yet they also concentrate wealth and governance power in the hands of a few owners of compute, models, and access.
  • Investments in cheap energy, including discussions around fusion and large-scale solar, are central to determining whether abundance can scale. Fusion is still experimental and decades away from commercial viability; fission carries safety and waste concerns, while current grids struggle to support AI-scale workloads.
  • Moon-based solar energy and Atomically Precise Manufacturing are presented as pathways to radically reduce costs, but they require unprecedented upfront investment and face substantial technical and logistical hurdles before they could redefine energy economics.
  • Even if services become cheaper or “free,” centralized infrastructure risks creating a “soft prison” where control over data, speech, and economic conditions sits with a handful of gatekeepers.

The physics of abundance: why costs won’t disappear

The argument for abundance rests on three pillars: automation that replaces labor, advanced manufacturing and AI-driven logistics that minimize waste and inventory, and energy abundance that makes electricity cheap enough to power widespread production. In combination, these forces could push the marginal cost of many goods toward zero, especially for digital products and services that are replicable at scale.

Automation and AI distribution technologies enable near-continuous production cycles, while innovations such as robotics, 3D printing, and smart logistics reduce the need for extensive human labor and physical stockpiles. Yet even with these advances, energy remains the substrate on which everything else runs. If energy costs drop dramatically, many costs downstream fall with it; if energy remains constrained, the economics of “free” goods become bound to the price of power.

The notion that everything will be free hinges on the assumption that infrastructure can be built and maintained at scale with minimal friction. In practice, the capital outlay for AI factories — data centers whose temperature, latency, and throughput must be precisely managed — is substantial. The article notes that AI infrastructure is becoming an industrialized process, with specialized facilities designed to manufacture intelligence by transforming data into trained models and tokens, rather than merely storing information. The stakes are high: productivity and profits rise as AI amplifies efficiency, but the winners will be those who own and control the core infrastructure.

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For those watching the broader technology ecosystem, the emphasis on AI factories and the associated economies of scale helps explain the ongoing shift in valuations and strategic bets toward cloud giants, semiconductor leaders, and hyperscale compute operators. The dynamic resembles earlier industrial eras, where the capacity to own and optimize the underlying engine of production — in this case, AI compute and models — determines who captures outsized gains.

AI factories and the wealth concentration dilemma

The piece frames AI infrastructure as the next industrial revolution, likening it to a pivotal shift in productivity that could dwarf past efficiency gains. Nvidia, AWS, and SpaceX are cited as major players building the backbone of AI systems, with experts noting that productivity and profits will rise as AI-enabled processes scale. The comparison highlights a familiar pattern: as with previous waves of industrial automation, the entities that run the most capable AI factories will likely command outsized profits and influence over how value is allocated.

Structural concentration presents both opportunity and risk for investors and policymakers. On the one hand, leading AI infrastructure providers could offer compelling, long-duration growth narratives grounded in repeated optimization of training, inference, and data workflows. On the other hand, heavy concentration could squeeze competition and shape the distribution of benefits from AI-driven abundance. The article points to a potential divergence between those who own the technology stack — chips, data centers, and AI platforms — and the broader population that might otherwise share in the fruits of increased productivity.

The discussion extends beyond the corporate balance sheet to geopolitical dynamics. The piece notes China’s strategic use of renewable energy to power large-scale AI deployments, underscoring a global race to align energy, data centers, and AI capacity. In such a landscape, policy choices about energy deployment, data sovereignty, and cross-border data flows will matter as much as the physics of energy itself.

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Energy frontiers: cheap energy, not cheap electricity

As the article emphasizes, the energy question is the real hinge on the road to abundance. If energy becomes near-free, the economics of AI factories and automated production improve dramatically. If energy remains expensive or constrained, the margin for “free” goods narrows, even with sophisticated automation.

The energy mix under consideration includes traditional options such as nuclear fission, renewables, and potentially future fusion. Fission remains a mature technology, but it comes with long-term waste challenges and proliferation concerns. Fusion, often heralded as the ultimate energy source, remains largely in the research phase and is widely viewed as decades away from commercialization. The current reality is that while fusion could theoretically unlock abundant, cleaner power, it is not yet a practical substitute for scalable, low-cost electricity today.

The piece highlights an ongoing debate: can scalable, cheap energy emerge quickly enough to unlock true abundance, or will the path require a long investment horizon and a gradual shift in how energy and AI infrastructure are financed and deployed?

Moon-based energy and the road to distributed manufacturing

The author surveys Elon Musk’s lunar energy ambitions as part of a broader argument about expanding energy frontiers. The vision here is ambitious: deploying solar power on the Moon to fuel AI infrastructure back on Earth could, in theory, reduce energy costs to near-zero. The envisioned approach involves building autonomous systems — including AI-enabled robots and manufacturing facilities — on the lunar surface, with a network of support from Earth-based systems such as Starlink and other space-oriented capabilities.

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Several hurdles accompany this radical idea. The logistics of launching, constructing, and maintaining facilities in a vacuum, coupled with the need for precise manufacturing of advanced AI hardware (potentially via Atomically Precise Manufacturing, or APM), create a formidable capital and technical barrier. Even if lunar fabrication becomes feasible, the question remains who will fund and govern such infrastructure, who will benefit from its outputs, and how the resulting abundance will be distributed.

Nevertheless, the argument that off-Earth energy and materials could eventually reshape cost structures is provocative. If lunar energy and asteroid-derived resources come online at scale, the economics could shift in favor of much more expansive AI deployment and automated production networks. The potential payoff could be immense — potentially extending the reach of AI-enabled abundance far beyond terrestrial limits — but the path is uncertain and expensive.

The soft prison of “free”: control, data, and autonomy

A central warning runs through the discussion: even when access to goods and services becomes cheaper or effectively free, the underlying infrastructure may be highly centralized. Owning the architecture — from data centers to energy supply to manufacturing facilities — implies control over who gets access, under what conditions, and at what price, if any. In a world where “free” is possible primarily because someone else is paying the bill, citizens and users risk trading autonomy for security or convenience. The article argues that many so-called free digital services come at the cost of surveillance, profiling, and behavioral manipulation, turning attention into a form of currency and data into leverage over choices and governance.

In a future of AI abundance, centralization could determine distribution terms, including which individuals or groups enjoy access and under what rules. The blunt reality is that a trillion-dollar opportunity could end up privileging the owners of the centralized infrastructure while leaving broader society with less say over how abundance is allocated. The phrase “if something is free, you are the product” takes on new resonance when the products are self-sovereignty and data rights in a highly automated economy.

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Opinion by: Merav Ozair, PhD, blockchain and AI senior advisor.

What to watch next

The coming years will test whether abundance remains a centralized windfall or evolves into a more distributed model where access is genuinely broad-based. For investors and builders, the signals to monitor are energy policy developments, the pace of AI infrastructure rollouts, and regulatory discussions around data rights, space-based manufacturing, and cross-border data flows. The dialogue around Moon-based energy, fusion progress, and the economics of AI factories will shape how quickly and how equitably AI abundance translates into real-world benefits.

As the debate unfolds, readers should follow updates from leading AI and energy initiatives, including coverage of the broader energy transition and the evolving landscape of AI hardware and data-center strategy. The tension between scalable abundance and central control will likely define the next phase of crypto, AI, and tech ecosystem investments.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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The Good and The Bad for XRP After Failed Rebound

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The Good and The Bad for XRP After Failed Rebound

XRP is trying to build a short-term recovery, but the broader trend still leans cautious. The recent bounce has improved momentum on both pairs, yet the price is still trading beneath major trend-defining resistance levels. In other words, sellers are no longer fully in control of the very short term, but buyers have not done enough to claim a real trend reversal either.

 XRP/USDT Analysis: The Daily Chart

On the XRP/USDT chart, the asset has pushed back toward the mid-$1.40s after defending the $1.10 to $1.20 demand zone earlier this month. That rebound matters because it keeps XRP off the lows and lifts RSI back into a healthier range, but the price is still stuck inside the descending structure and below the first major supply band around $1.75 to $1.80.

That leaves XRP in a tricky spot. The current move looks constructive, but it still resembles a relief rally inside a larger downtrend rather than a clean breakout. If buyers can force a reclaim of the $1.75 to $1.80 region, the door opens toward the much heavier $2.40 to $2.50 resistance area. But the price would also need to climb above both the 100-day and 200-day moving averages to reach this area. Until then, the bounce is not decisive.

XRP/BTC 4-Hour Chart

The XRP/BTC pair is telling a similar story. After repeatedly holding the 2,000 sats area, XRP has started to recover a bit and is now pressing back above that support zone. Momentum has improved, and the pair no longer looks as weak as it did during the recent dip, though it is still trading under both the 100-day and 200-day moving averages.

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For the BTC pair, the first task is to turn this rebound into follow-through. A push through the 2,100 to 2,200 sats area would be a good start, and lead to a breakout above both key moving averages. But the real test remains higher at 2,400 to 2,500 sats, where layered resistance and the broader downtrend line converge. If XRP gets rejected before that, the market likely falls back into the same sideways-to-bearish range. However, if it breaks through, the tone shifts from simple stabilization to genuine recovery.

 

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Disclaimer: Information found on CryptoPotato is those of writers quoted. It does not represent the opinions of CryptoPotato on whether to buy, sell, or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk. See Disclaimer for more information.

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How Low Can BTC Fall If $70K Level Is Lost Decisively?

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How Low Can BTC Fall If $70K Level Is Lost Decisively?

Bitcoin has continued to trade in a precarious zone after months of relentless selling pressure from the October 2025 highs above $125K. The asset is currently hovering below $70,000, attempting to stabilize after a dramatic downtrend, but several technical and on-chain signals suggest the battle between buyers and sellers is far from over.

Bitcoin Price Analysis: The Daily Chart

Looking at the daily timeframe, the broader picture remains firmly bearish. BTC has been trapped inside a descending channel since its peak above $125K, printing a consistent series of lower highs and lower lows. The asset is now trading well below both the 100-day and 200-day moving averages, which are acting as dynamic resistance overhead. The 200-day MA sits around $92K, and the 100-day near $80K, both far above the current price.

The daily RSI has recovered from deeply oversold territory, currently oscillating around the midline. A key horizontal support zone between $58K and $62K (highlighted in blue) held during the February capitulation wick, and that area remains the most critical floor to watch. For any meaningful reversal, however, the market would need to reclaim the $75K–$80K zone, which also aligns with the descending channel’s upper boundary.

BTC/USDT 4-Hour Chart

Zooming into the 4-hour chart, a more constructive short-term structure emerges. Since the early February lows near $60K, BTC has been forming an ascending channel pattern with higher lows, supported by a rising trendline. Yet, the price recently tagged the upper resistance near $75K before facing a decisive rejection and pulling back sharply toward $70k.

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The area between $74K and $76K has acted as a stubborn supply zone, rejecting multiple attempts to break higher. The 4-hour RSI has also cooled off from overbought conditions and now sits below the 40 level, indicating a change in momentum to relatively bearish. A confirmed break below the rising trendline (~$66K) would likely accelerate selling toward $60K, while a push above $75K could trigger a squeeze toward $80K, and change the market outlook to bullish in the short-term.

On-Chain Analysis

The Exchange Whale Ratio, measuring the proportion of large transactions relative to total exchange inflows, has shown a notable spike in recent weeks. After months of relatively subdued whale activity during the prolonged downtrend, the ratio has jumped sharply from around 0.45 to above 0.6, signaling that large holders are becoming more active on exchanges.

Historically, sharp increases in this metric have coincided with periods of heightened volatility, as whales tend to move coins to exchanges either to sell or to reposition. The current uptick, combined with the price hovering near a technically sensitive zone, suggests that big players are preparing for a decisive move. Whether this translates into distribution (selling) or accumulation at these levels will likely determine BTC’s direction in the coming weeks.

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Disclaimer: Information found on CryptoPotato is those of writers quoted. It does not represent the opinions of CryptoPotato on whether to buy, sell, or hold any investments. You are advised to conduct your own research before making any investment decisions. Use provided information at your own risk. See Disclaimer for more information.

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Bittensor price outlook: consolidation or deeper correction?

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Bittensor price outlook
Bittensor price outlook
  • Bittensor price is trapped between key support and strong resistance levels.
  • Momentum is cooling, hinting at either consolidation or a drop.
  • A break above $300 or below $250 will decide the next major move.

Bittensor (TAO) had shown strong bullish movement for the better part of the year before hitting a snag on March 16.

That rejection triggered a sharp pullback that erased part of the recent gains.

The cryptocurrency has now entered a tense phase, with analysts trying to determine whether the current weakness is a healthy pause or the start of a deeper decline.

Key technical levels shaping the market

Bittensor is currently trading within a well-defined range that has formed over recent price swings.

The upper boundary sits near the $282 to $300 zone, where multiple attempts to break higher have failed.

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This area has consistently acted as a ceiling and has attracted strong selling pressure.

A clean move above $282 would shift the market sentiment quickly, signalling renewed strength and possibly opening the path toward $313.

Beyond that, $357 remains a longer-term target if momentum continues to build.

Bittensor price analysis
Bittensor price chart | Source: TradingView

On the downside, the market has shown repeated reactions around the $250 region.

This level aligns closely with a key Fibonacci retracement zone and has become a critical support area.

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Below that, analysts note that $168 stands out as another important level where buyers have previously stepped in.

Accumulation or correction?

The current structure presents two clear possibilities. The first is a controlled pullback that leads into accumulation.

In this scenario, the price stabilises between $230 and $250 as larger participants gradually build positions.

This type of behaviour often appears after strong rallies and helps reset momentum.

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The second scenario is a deeper correction that extends below current support levels.

This would indicate that selling pressure is stronger than expected and that buyers are not yet ready to defend higher prices.

A breakdown below $233 would strengthen this view and likely accelerate downside movement.

Market indicators currently suggest that momentum is cooling, with the Relative Strength Index (RSI) moving down from overbought levels, signalling a loss of upward pressure.

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While this does not confirm a trend reversal on its own, it does suggest caution in the short term.

The bigger picture

Despite the recent weakness, Bittensor continues to stand out due to its underlying purpose.

The network is built around rewarding useful artificial intelligence, creating a system where performance determines value.

This gives the project a foundation that is different from many speculative assets.

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Price action often moves ahead of fundamentals, and this appears to be one of those moments.

The market is currently adjusting after a strong run, and this adjustment could take time.

However, whether this turns into accumulation or further decline will depend on how the price behaves around key levels in the coming days.

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OP_NET Launches “SlowFi” DeFi Stack Directly on Bitcoin L1

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OP_NET Launches “SlowFi” DeFi Stack Directly on Bitcoin L1

OP_NET said it is launching a “SlowFi” decentralized finance (DeFi) stack on Bitcoin that uses standard Bitcoin transactions and native BTC fees rather than bridges, wrapped assets or a separate gas token.

According to a Thursday release shared with Cointelegraph, the project is part of a broader push to bring trading and yield-style activity directly onto Bitcoin’s base layer instead of routing it through sidechains, bridges or adjacent networks. OP_NET is betting some users will accept slower and more expensive transactions in exchange for staying fully on Bitcoin.

According to OP_NET co-founder Frederic Fosco, who goes by Danny Plainview, applications run through standard Bitcoin (BTC) transactions using Taproot-based spends, while the platform’s NativeSwap model is designed to support token swaps without wrapped BTC or a separate gas asset. Plainview told Cointelegraph that every transaction on OP_NET is “just a Bitcoin transaction with BTC as the only gas asset.”

The launch lands in the middle of a growing fight inside Bitcoin over whether DeFi-style and data-heavy uses of block space strengthen the network’s fee market or amount to spam that crowds out monetary transactions.

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Plainview said a swap would typically cost about $1 to $2 under normal fee conditions and roughly $10 to $20 when blocks are congested, because users pay only standard Bitcoin network fees rather than a separate gas token.

OP_NET cofounder Frederic Fosco, AKA Danny Plainview. Source: OP_NET

OP_NET describes the model as “SlowFi,” arguing that Bitcoin’s roughly 10-minute block times and congestion-driven exit friction can make liquidity stickier and produce longer-lived DeFi cycles than faster chains.

Related: Fireblocks to integrate Stacks for institutional-grade Bitcoin DeFi

Critics say OP_NET brings Ethereum-style DeFi bloat

Plainview framed layer-1 DeFi as a way to support miner revenue as block subsidies decline, arguing that “miners are bleeding” due to Bitcoin’s halving schedule. “The only thing that keeps miners solvent is a fee market,” he said, insisting that OP_NET does not modify Bitcoin consensus.

Related: Animoca, RootstockLabs partner to bring Bitcoin DeFi to Japanese institutions

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That view has drawn criticism from Bitcoin users who argue that pushing DeFi-style activity onto layer 1 dilutes Bitcoin’s monetary focus or clogs block space with nonessential transactions. In recent posts on X, some critics described OP_NET as an attempt to bring Ethereum-style crypto infrastructure onto Bitcoin.

Some maximalists argued that any attempt to expand Bitcoin’s use cases beyond money made its proponents “sh*tcoiners” larping as Bitcoiners.

BIP 110 proponents argue against OP_NET. Source: Justin Bechler

Plainview pushed back, saying that any fee-paying Taproot transaction should be treated as a legitimate use of block space.

He warned that drawing moral lines around valid transactions handed de facto control of Bitcoin to whoever defines those categories. He said:

“The whole point is that nobody controls it.”

OP_NET keeps DeFi on Bitcoin base layer

OP_NET enters a field already populated by earlier attempts to bring programmability to Bitcoin, including through RSK and Stacks. 

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RSK operates as a separate Ethereum Virtual Machine-compatible sidechain with its own RBTC gas token and a federated BTC peg, meaning users move value off mainnet and trust a federation to manage the bridge. 

Stacks, by contrast, is a Bitcoin-anchored layer-2 with its own STX token and sBTC mechanism, executing smart contracts on a distinct chain that settles periodically to Bitcoin rather than inside L1 transactions.

By keeping execution and fees directly on Bitcoin and avoiding wrapped BTC or new gas assets, Plainview is betting that some users will accept slower, more expensive transactions in exchange for staying entirely on Bitcoin’s base layer.

Magazine: Bitcoin may take 7 years to upgrade to post-quantum — BIP-360 co-author

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