What Exactly is NEAR?
If you’ve been in crypto for a while, you’ve probably heard of NEAR Protocol but maybe glossed over it in favor of flashier names. That’s a mistake worth correcting.
NEAR is a Layer 1 proof-of-stake blockchain built from the ground up for one thing: making decentralized applications fast, cheap, and accessible. But what makes it genuinely interesting, especially right now – is its AI DNA.
NEAR was co-founded by Illia Polosukhin, and here’s the part that makes every AI investor sit up straighter: he is one of the original authors of the legendary Attention Is All You Need paper, the 2017 research that birthed the Transformer architecture powering ChatGPT, Gemini, and basically every modern AI system you can name. NEAR isn’t a project that pivoted into AI because it was trendy. Its founder literally helped invent the technology running under today’s AI revolution.
On the technical side, NEAR uses a system called Nightshade sharding, it splits its blockchain into parallel lanes that process transactions simultaneously instead of one by one. The network has benchmarked over one million transactions per second using live core code. For comparison, Ethereum handles around 15–45 TPS. The block time sits at around 600 milliseconds, gas fees are near zero, and the network has crossed 46 million monthly active users.
NEAR has also built what it calls the Chain Abstraction layer — a way for AI agents and users to interact across 35+ blockchains without needing to understand which chain they’re on or manually bridge assets. Think of it as the universal translator for Web3.
The vision Polosukhin keeps repeating: AI agents will become the primary users of blockchain. Not humans. Agents. And NEAR wants to be the settlement and execution layer those agents run on.
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The AI Coin Jungle And Why Most of It Is Noise
Let’s be honest about something. The “AI crypto” sector is absolutely flooded right now. You’ve got coins slapping the letters “AI” into their name with nothing to show for it, meme coins riding ChatGPT headlines, and vaporware projects that haven’t shipped a single line of working code.
Picking winners here isn’t about finding the loudest project. It’s about identifying which coins have the fundamental infrastructure, the tokenomics, and the narrative strength to break away from the pack when the market really heats up.
We looked at the field and narrowed it down to two genuine outperformers: NEAR Protocol and Bittensor (TAO). These aren’t the newest or the most hyped. They’re the ones with real utility, real communities, real developer ecosystems and tokenomics that can actually support a sustained price run.
Here’s why these two leave the rest of the AI coin field behind:
- They aren’t riding AI as a marketing angle. They are AI infrastructure.
- Both have built-in demand loops that tie token usage directly to network activity.
- Both have supply mechanics designed to reward holders over time rather than dump on them.
- And critically TAO has already shown what the ceiling looks like when the market wakes up to an AI coin with real fundamentals.
That last point is the whole thesis. TAO ran from under $50 in late 2023 to over $700 at its peak in early 2024 — a more than 14x move during a period when most of the market was still warming up. Now the question on every serious investor’s mind is: which AI coin does that next?
We think NEAR is the strongest candidate. Here’s why.
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What TAO Did And Why It Matters
Before we get into the comparison, it’s worth understanding exactly what made TAO’s run so extraordinary.
Bittensor is a decentralized AI network where independent machines (called subnets) compete to provide AI services – machine learning models, data validation, computing power. Miners provide intelligence, validators verify quality, and the TAO token is the incentive that makes the whole system work.
What drove the price wasn’t hype. It was scarcity plus narrative. TAO has a hard-capped supply of 21 million tokens — deliberately mirroring Bitcoin’s model — with halving events that cut new issuance by 50% at regular intervals. When AI became the dominant narrative of 2023–2024, suddenly the market looked at TAO and saw a scarce, utility-bearing AI token with a deflationary supply curve. The result was that extraordinary run.
The lesson from TAO: scarcity combined with genuine utility combined with the right narrative timing is an explosive combination.
Now let’s see how NEAR stacks up.
The Tokenomics Face-Off: NEAR vs TAO
This is where things get really interesting. And honestly? NEAR’s setup is not more compelling than most people realize.
TAO: The Bitcoin of AI
| Metric | Details |
|---|---|
| Total Supply Cap | 21,000,000 TAO (hard cap) |
| Circulating Supply | ~8.3 million TAO |
| Annual Emission | ~7,300 TAO/day (post-halving cuts this in half) |
| Halving Schedule | Roughly every 4 years |
| Staking/Locking | Validators and subnet owners must stake TAO |
| Inflation | Decreasing — halving events reduce it over time |
TAO’s model is deliberately deflationary. Each halving cuts the daily emission in half, which means the sell pressure from newly minted tokens keeps shrinking. Combine that with a growing number of subnets needing to stake TAO to operate, and you get organic demand rising while new supply is being squeezed. It’s a clean, powerful setup.
The weakness? TAO’s total supply is tiny, which means it’s also thin and volatile. Big players can move the price dramatically in either direction. It’s high conviction or nothing with TAO.
NEAR: The Inflation That’s Not Actually a Problem
| Metric | Details |
|---|---|
| Total Supply Cap | No hard cap |
| Circulating Supply | ~1.1 billion NEAR |
| Annual Emission | ~5% per year total |
| Staking Rewards | ~4.5% goes to validators/stakers |
| Protocol Treasury | ~0.5% goes to ecosystem development |
| Storage Staking | NEAR must be locked to store data on-chain |
| Burn Mechanism | 70% of all transaction fees are burned |
At first glance, “no hard cap” sounds bearish. But look closer. NEAR’s 5% annual inflation is almost entirely offset by two things. First, 70% of every transaction fee gets burned and as network usage grows, that burn rate climbs. Second, and this is often missed: NEAR requires tokens to be locked as collateral for on-chain storage. Every application, every AI agent, every smart contract storing data on NEAR has to lock NEAR tokens to do it. As the ecosystem grows, the amount of NEAR being locked in storage grows with it. This is structural demand, not speculative demand.
So while the nominal inflation rate is 5%, the effective circulating supply pressure is far smaller once you account for staking locks, storage locks, and fee burns. On a high-activity network, these mechanisms can push the net issuance into near-neutral or even deflationary territory.
Side-by-Side Comparison
| Factor | NEAR | TAO |
|---|---|---|
| Supply Model | Inflationary with burns & locks | Hard capped, Bitcoin-style |
| Inflation Rate | ~5% nominal (partially offset by burns) | Declining, halving-based |
| Scarcity Mechanism | Storage staking + fee burns | Halving schedule |
| Staking Yield | ~4.5% APY | Variable (~15–20% currently) |
| Ecosystem Size | Large 46M+ monthly active users | Growing 32+ subnets |
| AI Use Case | Chain abstraction, AI agent layer | Decentralized AI marketplace |
| Market Cap (approx.) | ~$3–4 billion | ~$3–4 billion |
| Fully Diluted Value | Similar range | Tighter due to cap |
| Liquidity | High top 30 coin | Moderate, thinner market |
| Founder AI Pedigree | Transformer paper co-author | ML research background |
| Upside Scenario | TAO-like run = 5–15x from current levels | Already had its first major run |
So Can NEAR Actually Do It?
TAO’s first major run happened when the market was just waking up to AI narrative in crypto. That window opened once and TAO walked through it. The question for NEAR is whether it can be the coin that captures the next major wave, possibly a bigger wave, as AI utility actually starts materializing on-chain.
The arguments for yes are strong:
1. The founder effect is real. Having the co-creator of the Transformer architecture leading your project isn’t a marketing angle. It’s a signal that when AI agents actually start needing blockchain infrastructure at scale, the person who understands the technical demands most deeply is at the helm of NEAR.
2. Tokenomics are more investor-friendly than they appear. Once you understand the storage staking and fee burn dynamics, the “no hard cap” concern melts away. NEAR has multiple demand sinks that create genuine token scarcity in practice.
3. NEAR is solving the right problem at the right time. Chain abstraction — letting AI agents move value across multiple blockchains seamlessly without human intervention is exactly what becomes critical as agentic AI systems proliferate. NEAR built this before it was a hot topic.
4. The market cap comparison is flattering. NEAR and TAO trade at roughly similar market caps. TAO reached a $14+ billion fully diluted valuation at its peak. If NEAR achieves even a similar rerating, the upside from current levels is significant.
5. Liquidity makes it viable for big players. TAO’s thin market made it explosive but also made it hard for large positions to enter cleanly. NEAR’s deeper liquidity means institutional-sized money can flow in without instantly blowing up the price — which paradoxically enables a bigger, more sustained run.
The main risk? NEAR has a broader use case than just AI, which means the AI narrative doesn’t hit it as cleanly as it hits TAO. It requires investors to understand the thesis. TAO is a pure play — its entire identity is AI. NEAR has to compete for mindshare with its Layer 1 identity, its DeFi ecosystem, and its AI pivot all at once.
But for investors who do the work, that complexity is actually the opportunity. NEAR is underpriced relative to the sum of its parts and the AI part alone would justify a much higher valuation if the market were paying attention.
The Bottom Line
The AI frenzy in crypto is not over. If anything, it’s entering its second, more serious phase — the phase where infrastructure matters more than storytelling. The projects that survive this phase and generate life-changing returns for their holders are going to be the ones with real utility, real tokenomic discipline, and real positioning within the AI stack.
TAO proved that a coin with the right fundamentals and the right narrative timing can deliver returns that look impossible in hindsight. NEAR has the fundamentals. It has the narrative. It has the timing, with chain abstraction and AI agent infrastructure moving from concept to necessity.
Will it run exactly like TAO did? Probably not — nothing plays out the same way twice. But the structure is there for NEAR to have its own version of that moment. And when it happens, the people who understood the thesis early will be the ones looking back and saying they saw it coming.
FAQs
Q: What is NEAR Protocol in simple terms? NEAR is a fast, low-cost blockchain that specializes in making decentralized apps and AI agents work seamlessly across multiple chains. It was co-founded by one of the inventors of the Transformer — the core technology behind modern AI like ChatGPT.
Q: Why is NEAR considered an AI coin? NEAR has built Chain Abstraction infrastructure specifically designed for AI agents that need to move value and interact with services across multiple blockchains autonomously. Its co-founder is on record saying AI agents will become blockchain’s primary users and NEAR is building for exactly that future.
Q: Doesn’t NEAR having no supply cap make it a bad investment? Not necessarily. NEAR burns 70% of every transaction fee, and its storage staking model requires tokens to be locked every time on-chain data is stored. As usage grows, these mechanisms reduce effective circulating supply significantly. The nominal 5% inflation looks a lot different once you account for these demand sinks.
Q: How did TAO pump so much in 2023–2024? TAO combined three powerful forces: a hard-capped Bitcoin-like supply of only 21 million tokens, genuine AI utility in its decentralized machine learning marketplace, and perfect timing with the AI narrative wave. Scarcity plus real use case plus the right story at the right moment is a historically powerful combination.
Q: Can NEAR really match TAO’s returns from here? There are no guarantees in crypto. But structurally, NEAR has similar market cap to what TAO had before its major run, deeper liquidity, stronger ecosystem metrics, and arguably stronger AI credentials given its founder’s background. The ingredients for a TAO-like rerating are present. Whether the market recognizes them and when is the variable.
Q: What would need to happen for NEAR to pump hard? A combination of factors: AI agent use cases going mainstream on-chain, NEAR’s chain abstraction being adopted as the standard for cross-chain AI activity, broader market entering a bull phase, and/or a major partnership or product launch that puts NEAR’s AI thesis front and center in front of a larger audience.
Q: Is this financial advice? Absolutely not. This is analysis and opinion. Crypto is highly volatile and speculative. Do your own research, understand the risks, and never invest more than you can afford to lose.
NOTE: Trading based on the report carries significant risk and we are journalists and this article doesn’t constitute a financial advice.
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