Bittensor (TAO)

Not VCs. Not crypto funds. Nasdaq and LSE listed companies are quietly stacking $TAO. Public companies answer to shareholders and auditors. They do not put assets on their balance sheet without conviction and due diligence that goes far beyond anything retail does. This is a different quality of buyer entirely.

Why I Believe Early Opportunities in the Next Crypto Cycle Will Come from AI-Curated Results 👇 I’m convinced that major moves in the next cycle won’t be spotted the old way. What I meant is that early alpha in 2026-2027 will increasingly come from AI-curated results. Traditional discovery is broken by noise, spam, and overload. AI agents and decentralized intelligence layers are becoming the new signal. I see the catalysts accelerating this niche, and the top active projects I’m personally watching. [1] The Problem: Traditional Crypto Discovery Is Dead CT has become the most-muted topic on the platform. Users are drowning in AI-generated spam, “InfoFi” engagement farming, and low-quality promo posts. CryptoQuant’s founder even called out the flood of bot content making it impossible to separate signal from noise. I’m seeing the same pattern everywhere: – Billions of data points from prices, news, onchain metrics, sentiment… hit us daily. – Manual curation via timelines or Discords can’t scale. Meanwhile, the broader AI market is exploding: projected to hit $376B in 2026, with a long-term path to $2.48T by 2034. The crypto-AI subset is smaller but growing insanely fast from ~$5B in early 2023-2025 to projections of $55B by 2035 at a 26.8% CAGR. AI agents already handle up to 45.7% of actions on platforms like Binance AI Pro without human input. In crypto, early experiments show agents spotting patterns and executing faster than humans ever could. The old watch timelines meta is being replaced by AI-curated feeds, autonomous agents, and intent-based discovery. [2] Catalysts Driving Explosive Future Development in AI-Curated Crypto This is real infra and macro tailwinds are aligning: → Decentralized Compute & GPU Shortages: – Big Tech’s AI capex is forecasted to top $700-800B in 2026 alone. Centralized providers can’t keep up, creating massive demand for decentralized alternatives. – Projects providing on-demand GPU power and inference are seeing verifiable revenue. → Agentic Economy Boom: – 2026 is the year of autonomous AI agents with their own wallets. They’ll execute trades, rebalance portfolios, buy compute/data, and participate in DAOs. – Predictions include at least 5% of DeFi managed by agents by EOY 2026 and x402 payment standards powering 30% of Base daily txns. – McKinsey sees agents adding $2.6-4.4T in annual value across use cases. Gartner expects 40% of enterprise apps to feature task-specific AI agents by 2026. → Onchain AI Maturity: – Subnets, verifiable inference, and intent-based UX are going live. Chains are embedding revenue-generating AI apps directly. – DePIN for compute has grown GPU capacity 700%+ since 2023. → Institutional + RWA Convergence: – AI agents need transparent, auditable rails for capital allocation. Blockchain becomes the settlement layer for AI-driven finance. – Reports from KuCoin, Grayscale, and Galaxy all highlight DeAI as the dominant growth sector in 2026, backed by real usage metrics instead of pure speculation. In short: Information overload + exploding AI capabilities + crypto’s programmable trust = a perfect storm where AI-curated results become the dominant discovery mechanism. [3] Top Active Projects I’m Eyeing Right Now I’m focusing on projects with live products, real revenue/activity, and strong positioning in curation, agents, or intelligence layers. Here are the ones standing out to me: > @opentensor | $TAO - “Bitcoin for AI”. – ~$3.2-3.4B cap, 128+ subnets spanning model training, inference, and agents. – Subnet expansion to 256 and new LLM training are key upcoming catalysts. Highest trading volume in the AI sector. > @NEARProtocol | $NEAR - Highest developer activity in AI/blockchain infra. – AI baked into UX with natural language dApp building, automated contracts. – Strong grants for AI projects and decentralized data labeling. One of the cleanest large-cap plays for usable AI onchain. > @rendernetwork | $RENDER - Decentralized GPU marketplace – Solving the exact compute bottleneck Big Tech faces. – Enterprise H100/H200 onboarding and ML training subnets make it a core infrastructure pick for any AI agent economy. > @virtuals_io | $VIRTUAL - Pure-play AI agents narrative. – Cap recovering around $440-740M range. – Focuses on autonomous agents that can create, own, and monetize IP… perfect for curated discovery and execution. > Emerging agent-focused L1s like @GoKiteAI. I’m increasingly allocating research time and conviction here because AI-curated results solve the single biggest friction in crypto. They’ll be the ones surfaced first by intelligent, autonomous systems. 2026 is when this moves from experiment to infra. The data, catalysts, and live projects are all lining up.

$TAO #SN69 - Someone heavily bought the mighty 69 slot but also got heavily sandwiched. The MEV did a 41 TAO profit out of a 1050 TAO sandwich attack. The original buyer is now sitting on a 25% loss, which is about 50 TAO. Watch-your-slippage.

What are the most undervalued subnets on bittensor:native

$TAO A-B-C correction played out exactly as predicted a month ago. $450-ish would be the area to short if we get it. https://t.co/F8o93XB8CT

$TAO $ZEC Lead us. Guide us.

$TAO #SN102 - Yes, @ConnitoAI feels big. More details to come. https://t.co/0XIh1UfdkP