Probability of reaching the target before 2030 and breakdown of the core rationale
4. $RENDER (10 - 15)
Probability of reaching the target: Moderate (approximately 50% - 60%)
Core rationale: A leader in decentralized GPU computing power: After Render Network migrated to Solana, demand for GPU computing power rentals for spatial computing, 3D rendering, and AI models has been strong.
Price history: The target of 10 - 15 would essentially mean returning to or slightly surpassing its historical high. Given the extremely tight global demand for GPU computing power anticipated in 2030, this is a fairly conservative and realistic target.
5. $FET (3 - 5)
Probability of reaching the target: Moderate (approximately 45% - 55%)
Core rationale: The Artificial Superintelligence Alliance brings together leading projects including Fetch.ai, SingularityNET, and Ocean. Following the merger of the AI projects under ASI, the focus is on the economic coordination of decentralized AI Agents.
Token unlocks and dilution: The total token supply increased after the merger. Reaching and holding 3 - 5 will depend on the actual revenue conversion rate from the commercial adoption of decentralized Agents, so the overall chance of hitting the target is moderate.
6. $ICP (35 - 50)
Probability of reaching the target: Moderately low (approximately 35% - 45%)
Core rationale:
On-chain AI vision: Internet Computer has a unique technical architecture that allows AI models to run directly on-chain as Canister Smart Contracts, without relying on Web2 cloud services.
Historical overhang and selling pressure from new issuance: Tokens unlocked from NNS staking continue to enter the market. Although 35 - 50 is far below the ATH, absorbing historical token holdings and driving up market capitalization will still require significant ecosystem growth.
7. VIRTUAL (3 - 5)
Probability of reaching the target: Moderately low / under observation (approximately 30% - 40%)
Core rationale:
AI Agent economy and tokenized issuance: Virtuals Protocol focuses on the asset tokenization of AI personas/agents and their use in gaming and entertainment, making it a strong, high-beta asset in the small-cap AI sector.
High risk, high reward: This is a project in an emerging sector with substantial upside potential. However, given the extremely rapid pace of iteration and relatively short life cycles of application-layer projects, maintaining a leading position through 2030 (nearly five years away) and sustaining a high valuation of $3 - 5 will entail significant competitive and obsolescence risks.
Which would you choose?
4. $RENDER (10 - 15)
Probability of reaching the target: Moderate (approximately 50% - 60%)
Core rationale: A leader in decentralized GPU computing power: After Render Network migrated to Solana, demand for GPU computing power rentals for spatial computing, 3D rendering, and AI models has been strong.
Price history: The target of 10 - 15 would essentially mean returning to or slightly surpassing its historical high. Given the extremely tight global demand for GPU computing power anticipated in 2030, this is a fairly conservative and realistic target.
5. $FET (3 - 5)
Probability of reaching the target: Moderate (approximately 45% - 55%)
Core rationale: The Artificial Superintelligence Alliance brings together leading projects including Fetch.ai, SingularityNET, and Ocean. Following the merger of the AI projects under ASI, the focus is on the economic coordination of decentralized AI Agents.
Token unlocks and dilution: The total token supply increased after the merger. Reaching and holding 3 - 5 will depend on the actual revenue conversion rate from the commercial adoption of decentralized Agents, so the overall chance of hitting the target is moderate.
6. $ICP (35 - 50)
Probability of reaching the target: Moderately low (approximately 35% - 45%)
Core rationale:
On-chain AI vision: Internet Computer has a unique technical architecture that allows AI models to run directly on-chain as Canister Smart Contracts, without relying on Web2 cloud services.
Historical overhang and selling pressure from new issuance: Tokens unlocked from NNS staking continue to enter the market. Although 35 - 50 is far below the ATH, absorbing historical token holdings and driving up market capitalization will still require significant ecosystem growth.
7. VIRTUAL (3 - 5)
Probability of reaching the target: Moderately low / under observation (approximately 30% - 40%)
Core rationale:
AI Agent economy and tokenized issuance: Virtuals Protocol focuses on the asset tokenization of AI personas/agents and their use in gaming and entertainment, making it a strong, high-beta asset in the small-cap AI sector.
High risk, high reward: This is a project in an emerging sector with substantial upside potential. However, given the extremely rapid pace of iteration and relatively short life cycles of application-layer projects, maintaining a leading position through 2030 (nearly five years away) and sustaining a high valuation of $3 - 5 will entail significant competitive and obsolescence risks.
Which would you choose?
RENDER
FET
ICP
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