AI services and large language models have established themselves as practical tools for crypto investors and traders, helping them process the enormous volume of information produced by a market that operates around the clock. Price movements, on-chain activity, regulatory announcements, token unlocks, project updates, and macroeconomic developments can all move digital assets within minutes — and for an individual trader, tracking every relevant signal is virtually impossible. AI models can assist by collecting and organizing large amounts of information, identifying patterns, and converting complicated data into insights that are easier to evaluate. It is worth bearing in mind, however, that these models do not have access to real-time market data, can reproduce biases present in their training material, and have no demonstrated forecasting edge over traditional analysis — the targets below should be read as generated narratives rather than verified predictions.

For this article, ChatGPT was asked to analyze the current state of Bitcoin, Ethereum, and BNB and to set end-of-year price targets for each. The same exercise was then performed for LiquidChain (LIQUID), a new Layer 3 network intended to connect BTC, ETH, and Solana into a single platform dedicated to builders and traders.

Bitcoin (BTC)

“Bitcoin remains one of the strongest bullish opportunities in the crypto market because the supply side has become tighter while access to the asset continues to expand,” ChatGPT explained. “The 2024 halving permanently reduced the flow of new BTC entering circulation, meaning sustained demand does not need to accelerate dramatically to create upward pressure on price. At the same time, spot Bitcoin ETFs have created a regulated route for institutions to gain exposure without directly managing the asset.” Those ETFs, which the U.S. Securities and Exchange Commission approved in January 2024 after years of rejections, marked one of the most consequential changes in Bitcoin's market structure, opening the asset class to brokerages, wealth advisers, and pension-style portfolios that previously could not or would not hold BTC directly.

“Bitcoin ETF inflows have strengthened sharply in August, with the funds recording more than $3.2 billion in monthly inflows and net assets approaching $100 billion.”

“The most important point is that Bitcoin no longer depends exclusively on retail speculation to support a major rally,” the AI continued. “Asset managers, institutions, and corporate investors can now participate through established financial infrastructure, while Bitcoin’s fixed maximum supply remains unchanged. Even corporate accumulation has, at times, absorbed multiples of newly mined supply, demonstrating how relatively small changes in institutional demand can have an outsized effect on an asset with a strictly limited issuance schedule.”

“From a macro perspective, Bitcoin has a compelling path towards an EOY goal of $110,000,” ChatGPT concluded. “Concerns surrounding government debt, long-term bond markets, and currency debasement have increased investor interest in scarce assets, with Bitcoin increasingly competing for capital alongside traditional hard assets such as gold. The current environment does not need to become perfect for BTC to rally: a sustained improvement in financial conditions, falling real yields, or renewed concern about the long-term purchasing power of major currencies could all strengthen demand for Bitcoin.”

Ethereum (ETH)

“Ethereum has a strong case for reaching $3,500 by the end of 2026 because its investment proposition is increasingly tied to the growth of the on-chain economy rather than simply its status as the second-largest cryptocurrency,” said ChatGPT. “Stablecoins, decentralized finance, and tokenized financial products require blockchain infrastructure capable of handling large pools of capital, and Ethereum remains the network where much of that activity is concentrated. As traditional finance moves more money, securities, and funds onto public blockchains, Ethereum is well-positioned to benefit from the expansion of the underlying markets it already supports.” That framing reflects a broader industry trend: stablecoin circulation has grown into the tens of billions of dollars, major asset managers have launched tokenized funds on public blockchains, and regulators in several jurisdictions have advanced frameworks that bring tokenized securities closer to mainstream adoption — developments that generally concern which chain settles that value.

“The next leg of Ethereum’s growth could also come from a shift in how investors value ETH itself,” ChatGPT asserted. “Bitcoin is primarily bought as a scarce monetary asset, whereas Ethereum gives investors exposure to a programmable financial network with multiple sources of economic activity. ETH is required throughout the network for transaction execution and security, while staking gives long-term holders an additional economic incentive to keep capital committed. Ethereum staking reached an all-time high of 41.7 million ETH in August, representing 34.5% of the total supply, reducing the amount immediately available for trading.”

“From today’s prices, a rise to $3,500 requires a demanding but realistic advance,” ChatGPT noted. “My thesis is that Ethereum can re-rate as tokenization, stablecoin settlement, and institutional on-chain activity continue to grow, while a substantial share of ETH remains committed to network security through staking. If those trends continue and broader crypto market conditions remain constructive, I expect capital to recognize Ethereum’s position as a core piece of financial infrastructure and push ETH towards $3,500 by the end of 2026.”

BNB (BNB)

“BNB has a different bullish setup from Bitcoin and Ethereum because its value is closely connected to the sheer scale of activity surrounding the Binance trading and BNB Chain businesses,” ChatGPT stated. “BNB is used across trading, transaction fees, staking, governance, and a growing range of applications, giving the token multiple demand channels rather than relying on one dominant investment narrative. BNB Chain is also expanding its reach into stablecoins, real-world assets, and other on-chain applications, while recent network upgrades are increasing transaction capacity without fundamentally changing the user experience.”

“The token’s supply dynamics give the bullish case another powerful dimension,” the AI noted, as “BNB has undergone 36 quarterly burns, reducing total supply to roughly 133 million coins. That is a substantial reduction from its original 200 million supply, meaning future demand is being applied to a progressively smaller pool of tokens. Unlike a one-off supply event, the burn mechanism is embedded into BNB’s economics, creating a persistent force that can amplify price appreciation when network usage and market demand rise together.”

“A BNB rally to $900 is a very achievable move for a large-cap cryptocurrency during a strong market phase. Therefore, I expect BNB to benefit from a combination of expanding chain activity, continued supply reduction, and renewed demand for exposure to the broader Binance ecosystem. As BNB has recovered strongly from its 2026 lows, a sustained breakout would likely bring momentum traders back into the asset and create the conditions for a move to $900, or perhaps even higher.” Unlike BTC and ETH, BNB has no spot ETF in the United States, so its institutional access story differs materially — while U.S. regulators sued Binance in 2023 over alleged securities and compliance violations, a case whose outcome remains a relevant variable for the ecosystem BNB's utility depends on.

LiquidChain (LIQUID)

“LiquidChain (LIQUID) is particularly interesting because it is targeting one of the biggest structural problems in crypto: liquidity remains fragmented across separate networks,” ChatGPT began. “Rather than trying to compete directly with Bitcoin, Ethereum, or Solana for their existing user bases, LiquidChain proposes an additional Layer 3 designed to let applications interact with all three. Its architecture combines a cross-chain virtual machine, a unified proof engine, and smart-contract integrations, with the stated goal of allowing transactions to reference multiple underlying blockchains.” Fragmented liquidity is a well-documented industry pain point — the proliferation of Layer 1 and Layer 2 networks has split trading volumes and collateral across dozens of environments, which is why cross-chain infrastructure and interoperability protocols remain among the most active areas of development in the sector.

“That gives LIQUID a much more ambitious growth story than a typical presale token, because its potential value is tied to becoming infrastructure for activity that already exists elsewhere.”

“The most compelling part of the thesis is the unified liquidity model,” ChatGPT explained. “LiquidChain will represent assets within shared liquidity pools, allowing applications to access markets across those networks rather than operating inside isolated environments. If the technology delivers as planned, that could make LiquidChain extremely useful for cross-chain trading, lending, borrowing, staking, and other DeFi applications.”

“The LIQUID token itself has several roles that could create demand once the network becomes operational,” the AI continued, “including liquidity staking, transaction fees, and developer grants, as well as network participation and governance. The roadmap will expand that utility through unified liquidity pools, multi-chain swaps and settlements, cross-chain derivatives, lending modules, and later integrations with Layer 2 networks. That progression creates a clear route from a speculative presale asset into a token with functional uses across the network if LiquidChain executes its roadmap successfully, making a 20x move an achievable and straightforward high-growth target.” It should be noted that the 20x figure is an AI-generated projection for a project that, by its own description, is still in a presale stage with an unlaunched network — a category historically associated with high failure rates, and one where presale coverage often serves promotional purposes. None of the targets in this article constitute investment advice.

This article appeared first on icobench.com.