NEAR Protocol: From Scalable Layer 1 to the 'AI Blockchain'

NEAR Protocol was founded by Illia Polosukhin and Alexander Skidanov, two engineers with backgrounds at Google and the database company MemSQL, who began working together on machine-learning research before pivoting toward blockchain technology.

Their early project, initially oriented around AI research, evolved into a plan for a new smart contract platform designed to be more developer- and user-friendly than existing blockchains, with features like human-readable account names instead of long cryptographic addresses.

NEAR's core technical idea was 'sharding' — splitting the network into multiple parallel chains (branded as 'Nightshade') to process transactions simultaneously — aimed at solving the scalability problems that limited networks like Ethereum, and the mainnet launched in 2020.

NEAR's mainnet launched in 2020, positioning it as a scalable, proof-of-stake competitor to Ethereum for hosting decentralized applications.

During the 2021-2022 crypto bull market, NEAR raised significant funding, expanded its ecosystem of DeFi and NFT projects, and saw its token price rise sharply along with the broader market.

The launch of Aurora, an Ethereum-compatible environment built on top of NEAR, allowed Ethereum developers to deploy existing applications on NEAR with minimal changes, an important step in growing its developer ecosystem.

NEAR progressively rolled out phases of its Nightshade sharding design, a multi-year technical effort toward the network's long-term scalability goals.

Starting around 2023-2024, NEAR shifted much of its public narrative toward artificial intelligence, with co-founder Illia Polosukhin promoting the idea of 'user-owned AI' and positioning NEAR as infrastructure for AI applications, a notable rebranding of the project's identity.

A central talking point around NEAR today is whether its pivot toward an 'AI blockchain' narrative will translate into real developer and user adoption, or whether it's primarily a rebranding effort riding the broader AI investment trend.

NEAR also competes in an increasingly crowded field of layer-1 smart contract platforms, including Solana, Avalanche, and others, all vying for developers, liquidity, and attention in a market where Ethereum's own layer-2 rollups have become a dominant scaling narrative.

There's ongoing discussion about how much of NEAR's original sharding-based scalability advantage still differentiates it technically, now that many competitors have shipped their own scaling solutions, and about whether the network can convert its technology into durable real-world usage rather than speculative interest.

Nobody can say for certain where NEAR's price is headed, but it's useful to lay out the kinds of developments that would tend to push it higher or lower.

No one can guarantee what NEAR will be worth in one year, three years, or five years, and anyone claiming to know is guessing. What you can do is understand its origins as a sharded, developer-friendly smart contract platform, the real milestones and narrative shifts it has gone through, and the debates about its current direction, so your opinion is grounded in reasoning rather than a hunch.

Once that reasoning gives you a directional view, the next practical step isn't predicting a price — it's calculating how large a position you can safely take based on your entry point and stop-loss.