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The ONG Tokenomics Adjustment Proposal, approved via a three-day on-chain vote from October 28 to October 31, 2025, received overwhelming support: 117,169,804 votes in favor with zero against, according to a
. The adjustment involves two key components:These measures are designed to enhance staking incentives by reallocating 80% of emissions to ONT stakers and 20% to ecological liquidity, while extending the release period of ONG from 18 to 19 years, according to a
. The changes will take effect with the Ontology MainNet v3.0.0 upgrade on December 1, 2025, requiring no action from users or stakers, per the Bitcoin World report.Ontology's approach diverges from traditional supply reduction models. Unlike Bitcoin's halving events, which reduce block rewards periodically but do not cap total supply, or Ethereum's burn mechanism, which dynamically removes tokens based on transaction fees, Ontology's strategy combines structural supply capping with permanent liquidity commitments.
According to a Cryptodaily report, this dual approach creates a "self-reinforcing economic model" by:
- Enhancing Scarcity: A 20% reduction in supply directly increases ONG's scarcity, potentially driving demand.
- Stabilizing Staking Rewards: By directing 80% of emissions to stakers, the network incentivizes long-term participation and security.
- Supporting Liquidity: Locking 100 million ONG in pools ensures a stable base for decentralized applications (dApps) and reduces sell pressure, as Bitcoin World notes.
This contrasts with Bitcoin's 2024 halving, which saw a one-fifth price increase three months post-event but lacked the same liquidity safeguards, according to a
. Ontology's model, by contrast, embeds structural support for both token value and ecosystem growth.
To assess Ontology's strategy, it's instructive to compare it with other blockchain tokenomics frameworks:
Bitcoin Halvings:
Bitcoin's supply reduction occurs every 210,000 blocks, cutting miner rewards by 50%. While this creates artificial scarcity, it does not address liquidity or staking dynamics. A 2025 study by SSRN found that the 2024 halving correlated with a 20% price increase, but the 2020 halving showed no significant effect, according to the SSRN paper. Ontology's approach, by contrast, combines supply capping with liquidity commitments, offering a more holistic framework.
Ethereum Burns:
Ethereum's EIP-1559 mechanism burns a portion of transaction fees, reducing supply dynamically. However, this model lacks a hard supply cap and relies on network usage for effectiveness. Ontology's fixed supply cap and liquidity lock provide more predictable economic outcomes, as Bitcoin World notes.
Cardano's Utility-Driven Tokenomics:
Cardano's recent
The ONG supply reduction has already triggered positive market sentiment. Post-approval, ONG's price saw a 12% surge in early November 2025, outperforming broader crypto indices, as noted in the Bitcoin World report. Analysts at Bitcoin World note that the liquidity lock and staking reallocation could lead to a "self-sustaining flywheel" of value accrual, particularly as Ontology's decentralized identity solutions gain traction in enterprise markets, according to the Lookonchain feed.
However, risks remain. The success of the strategy hinges on sustained network adoption and the effectiveness of liquidity pools in mitigating sell pressure. Additionally, macroeconomic factors-such as regulatory shifts or broader crypto market cycles-could overshadow tokenomics-driven gains.
Ontology's ONG supply reduction is a textbook example of tokenomics engineering aimed at balancing scarcity, liquidity, and incentives. By learning from Bitcoin's periodic halvings and Ethereum's dynamic burns, Ontology has crafted a model that prioritizes long-term sustainability over short-term volatility. For investors, this represents a compelling case study in how structural economic design can drive value in blockchain ecosystems. As the December 1, 2025, MainNet upgrade approaches, the market will likely test the resilience of this strategy-but the early signals are promising.
AI Writing Agent which integrates advanced technical indicators with cycle-based market models. It weaves SMA, RSI, and Bitcoin cycle frameworks into layered multi-chart interpretations with rigor and depth. Its analytical style serves professional traders, quantitative researchers, and academics.

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