AI & Crypto

AI software can now use digital money to pay for web searches or computer data in under a second without needing a human to type in a credit card or set up an account. Traditional credit card companies charge around 30 cents per purchase, which is too expensive when a bot only wants to buy […]...

A programmable wallet is a wallet whose spending rules are enforced in code at the signing layer, not by the software asking for the money. The agent cannot talk its way past a limit it does not control. The core controls are per-transaction caps, rolling session and period caps, counterparty allowlists, contract and function scoping, […]...

This is an exit from mining rather than a diversification into AI. Core Scientific booked 83% of Q2 2026 revenue from colocation, Keel (formerly Bitfarms) is winding mining down across 2026 and 2027, and Bitdeer began dismantling a Washington mine instead of retrofitting it. Almost nothing above the transformer survives a conversion. SHA-256 ASICs have […]...

AI agents can now handle everything from naming and contract deployment to lore creation and social media promotion in minutes, creating an infinite supply of speculative assets. According to research, roughly 98.6% of tokens launched on the dominant memecoin platform turn into scams, with the vast majority losing their liquidity within the first hour of […]...

An autonomous agent has no legal personhood and cannot pass a KYC check, so the banking system has no slot for it as a payer. A bearer instrument that moves without a human account holder is the only money it can hold on its own, which is the grounded reason stablecoins fit. The rails are […]...

AI companies and Bitcoin miners are now competing for the same physical foundations of the digital economy: electricity, land, chips, cooling systems, grid access, and finished data center capacity. AI holds the stronger position in premium data centers because it can pay more, supports higher value workloads, and benefits from deeper corporate and political backing. […]...

Crypto robotics connects autonomous machines with blockchain-based payments. Machine wallets let robots, drones, and vehicles send or receive digital assets. Smart contracts can automate payments once tasks are verified. Stablecoins may make machine transactions more predictable and practical. Crypto robotics could support real-time commerce between machines, infrastructure, data providers, and AI...

Render connects creators and developers who need massive computing power with users worldwide who have idle GPUs, making high-end rendering much more accessible and affordable. While originally built for digital art and visual effects, the network has evolved to power resource-heavy workflows in artificial intelligence, machine learning, and spatial computing. The ecosystem runs on the […]...

Key Takeaways: Artificial intelligence agents now autonomously execute trillions of dollars in transactions. They replace legacy, rigid trading bots with hyper-fast decision engines that read real-time market data and social sentiment in milliseconds. AI copy-trading completely eliminates fear, greed, and fatigue. The software perfectly mirrors top-tier professional traders using cold, mathematica...

Key Takeaways: The sheer volume of retail noise and bot activity on traditional social media destroys early trading signals. By the time a narrative trends on X, the primary opportunity has already vanished. Protocol-native networks like Farcaster and Lens host concentrated communities of builders and sophisticated DeFi users. These platforms surface market-moving information hours or […]...

The IRS is not letting AI conduct audits on its own; human examiners still handle audits, issue notices, and apply established taxpayer-rights protections. AI is increasingly being used to help the IRS identify risk, prioritize cases, and support enforcement and compliance operations before a formal audit begins. The agency’s use of AI has expanded rapidly, […]...

Corporate mergers and acquisitions in the crypto space carry immense financial weight. Major cryptocurrency exchanges and decentralized finance protocols aggressively acquire smaller startups. These industry giants buy up competitors to capture market share, absorb innovative technology, and secure top-tier engineering talent. However, the corporate matchmaking process involves severe risks. Befor...

Power is now the real bottleneck for AI. The issue is no longer just chips. AI infrastructure is running into hard limits on electricity, grid access, and interconnection timelines. Bitcoin miners are becoming AI infrastructure plays. The strongest miners are no longer relying only on mining economics. They are using land, power contracts, and grid […]...

Agentic income is already possible. AI agents can move funds, trade tokens, and interact with DeFi protocols via wallets and smart contracts without human approval for each action. The tax burden still sits with the human deployer. Current legal frameworks do not treat AI agents as separate legal taxpayers. In practice, the person or company […]...

AI can automate crypto tax-loss harvesting across DeFi. Modern execution tools such as intent-based routing, gRPC streaming, and lower-cost Layer 2 settlement make continuous harvesting more feasible than before. Spot crypto still sits outside the classic wash sale rule in many cases. Bitcoin and Ethereum are generally not treated as stock or securities under IRC […]...

Green Bitcoin is still an early market. AI tools, tokenized certificates, and pilot auctions exist, but there is no deep, standardized global market for ESG-linked Bitcoin yet. MiCA is important, but it does not track individual Bitcoin lots. The EU’s sustainability rules focus on disclosure of the consensus mechanism and network-level indicators. AI is more […]...

The crypto landscape of 2026 looks nothing like the market of just two years ago. We have moved past the era of simply asking chatbots for price predictions. The market has graduated from “Chatbot AI” that only talks to “Agentic AI” that actually acts. This is the dawn of DeFAI, or Decentralized Finance driven by […]...

AI crypto is shifting from pure hype to infrastructure. The strongest projects are the ones tied to real compute, data, privacy, and execution layers. Big tech spending strengthens the case for decentralized AI. As AI infrastructure gets more centralized around major tech firms, crypto projects are positioning themselves as open alternatives. Builder activity is still […]...

The global financial system is currently witnessing a collision of two distinct eras. On one side stands the cryptocurrency industry, a sector defined by permissionless innovation, millisecond transaction speeds, and a decentralized ethos that often actively resists authority. On the other side stands the global regulatory framework, a system built on centralized gatekeepers, identity verification...

Proof of Reserves became a baseline after the 2022 exchange blowups, but snapshot PoR leaves a gap between attestations, during which positions can shift quickly. Merkle trees commit to the liability dataset and enable user inclusion proofs, zk-SNARKs prove the math and constraints, completeness still depends on an external commitment to “all accounts.” LLMs automate […]...

Regulators reject crypto applications for basic reasons, weak AML controls, vague risk assessments, and missing evidence, not because the business model is “too new.” AI helps most with drafting and structuring, but the real win is packaging proof, control matrices, versioned evidence, and audit-ready artifacts. FATF definitions and the Travel Rule set the baseline, but […]...

The global financial system has undergone a dramatic transformation over the past two decades. Trading floors have given way to algorithmic engines. Paper reporting has been replaced by cloud infrastructure. Financial institutions now operate in hyper connected digital ecosystems powered by artificial intelligence, high frequency trading, and decentralized finance. This rapid digitization has crea...

Crypto gives AI agents financial autonomy. Blockchains let software hold funds, sign transactions, and execute agreements without banks or centralized intermediaries. Intent-based execution separates decision-making from transaction routing. Agents declare outcomes, while solver networks handle execution, introducing both efficiency gains and new centralization risks. EIP-7702 enables safe agent t...

DePIN solves inference scarcity. Decentralized networks excel at distributed inference and burst workloads, but synchronous frontier model training still belongs in centralized hyperscale data centers. Cost savings are real until reliability comes into play. Raw GPU pricing on DePIN can be 45-60% cheaper, but reliability variance often forces overprovisioning, which eats into those gains fast. [&h...