ONT and ONG work because Ontology treats inflation as an explicit security budget

Ontology’s design choice is blunt: ONT is the scarce governance and staking asset, while ONG is the spendable resource token that pays for transactions and execution. Ontology keeps that separation explicit in its token roles page: ONT is for governance voting, consensus node election, and staking to generate ONG, while ONG is used for transaction fees (gas) and smart contract execution.

That division matters for tokenomics because it makes the “security budget” legible. If the chain isn’t generating enough fee revenue, you will see it. It shows up as ONG emissions subsidizing stakers and node operators rather than as fee-driven demand. In other words, Ontology doesn’t hide the cost of security inside the governance token’s issuance. It pushes it into ONG, then decides how to allocate it.

As a framing device, this maps cleanly onto common token economy components (asset roles, issuance, fees, and distribution).

Operationally, Ontology’s developer documentation is direct that “almost all operations” on the network consume ONG as gas, and that ONG is “gradually released” from ONT but must be manually extracted to an account in that workflow.

Supply and emissions: ONT is capped, ONG is scheduled

ONT max supply is 1,000,000,000. Ontology’s own Triones incentive write-up states this cap and, in its original framing, even describes ONT as indivisible.

In practice today, ONT’s unit model changed. Ontology’s official glossary says ONT was originally designed with 0 decimals, then was updated to 9 decimals at block height 13,920,000. The same source says ONG moved from 9 decimals to 18 decimals at that same height.

The Ontology Developer Center’s “EVM & Token Decimals Upgrade” guide repeats the same present-state reality: transaction fees are still paid in ONG, but ONT now has 9 decimals and ONG has 18 decimals, with the mainnet upgrade keyed to block height 13,920,000.

For a third-party snapshot, current supply figures list total supply 1,000,000,000 ONT and a circulating supply of 934,260,568 ONT.

ONG is where emissions policy lives. In Ontology’s 2018 Triones incentive model, the “unbinding rule” is explicit: 1 ONG is unbound every second when a block is generated, the full unbinding completes in around 18 years, and once unbinding finishes no new ONG will be generated.

That original framing (transfer-triggered unbinding tied to ONT holding) is still useful as an intuition pump: ONG is meant to be time-released, then spent on network usage, then routed back to operators and stakers as compensation.

The more important update for a long-horizon model is Ontology’s 2025 tokenomics change. Ontology states that ONG’s “maximum and total supply” was reduced from 1,000,000,000 to 800,000,000, with 200,000,000 ONG permanently burned, and that this is a hard cap with “no additional ONG” creatable beyond it.

Ontology also states that ONG emissions remain 1 ONG per second and that the release period was extended from 18 years to approximately 19 years to keep the curve smooth.

The governance summary of that change is even more explicit about allocation plumbing: it specifies (i) an adjusted release curve maintaining 1 ONG per second over the remaining years, and (ii) 80% of released ONG flowing to governance as ONT staking incentives, while 20%, plus transaction fees, goes to “ecological liquidity.”

As an emissions sustainability analyst, I read this as a partial admission that the chain wants predictable issuance, but also wants to actively recycle some issuance into market structure. That is a pragmatic move. It is not the same thing as being fee-funded.

Allocations and unlock reality (ONT)

ONT distribution is documented by the team in a long-running post that they say they update over time. It provides the headline allocation proportions and discusses lock and unlock mechanics by bucket.

One important nuance: that post defines “circulating supply” in an “unlocked” sense, not strictly “freely tradable.” It states that an 87.6249524% circulating amount corresponds to 876,249,524 ONT, and it notes the community portion can be “unlocked ready for distribution” in events.

Here is the allocation breakdown using Ontology’s stated percentages, with implied amounts computed against the 1,000,000,000 ONT max supply.

This distribution is very “institution + foundation + team” heavy by modern retail norms. Ontology’s own framing is that these categories were structurally important for enterprise and ecosystem building. Tokenomics-wise, it concentrates governance-adjacent supply, which makes later parameter changes easier to coordinate. That can be good for decisive upgrades. It increases governance and credibility risk for minority holders.

Utility, fees, burns, and the fiscal plumbing

ONG has straightforward utility: it pays for transactions and smart contract execution.

Ontology’s older Triones incentive model explains fee formation in more mechanical terms. It splits costs into network fees and system fees, and says the cost model is regulated by OngLimit and OngPrice. It also states that when blocks cannot include all transactions, consensus nodes prioritize transactions based on OngPrice.

Most important for token economy modeling: the same write-up states that network and system fees are distributed to a governance contract after completion, and that the governance contract is used to “uniformly distribute” this ONG.

That is the canonical “pay to use, route to operators” loop. But Ontology’s own model also includes an explicit “compensation/lease” component where ONT holders receive ONG periodically and that consumed ONG is allocated to Triones nodes.

The 2025 redesign pushes further into active treasury-like behavior. The governance summary says 20% of released ONG, plus transaction fees, is contributed to “ecological liquidity.”

It then outlines a swap-and-lock mechanism: ONG is used to acquire ONT within a “set fluctuation range,” the acquired ONT and ONG are paired to provide liquidity and generate LP tokens, and those LP tokens are burned to permanently lock the underlying assets.

Ontology’s follow-up explanation makes the same mechanism more concrete and explicitly permanent: it lists the steps (ONG buys ONT, pair into LP, LP tokens permanently burned, assets “locked forever”) and ties that to the “100 million ONG worth” permanent lock.

From a sustainability lens, this is a trade. You are using part of the emissions stream and fee stream to create durable liquidity and a form of structural bid for ONT. That can stabilize markets and reduce reflexive sell pressure in the short run. It also means some economic output that could have been paid out to operators or reinvested into builders is instead being used to shape secondary market conditions.

Governance and parameter control: who can change the money machine

ONT is explicitly positioned by the project as the governance and staking asset.

In practice, parameter control is node-driven. Ontology’s governance vote recap says Triones nodes voted on the “ONG Tokenomics Adjustment Proposal” during October 28, 2025 to October 31, 2025, with 117,169,804 votes in favor and 0 against, and it states that all Triones nodes participated via OWallet.

For a comparison case study, see our Kusama (KSM) review.

On implementation, Ontology’s mainnet upgrade announcement ties the tokenomics change to the mainnet upgrade timeline, with v3.0.0 scheduled for December 1, 2025 and explicitly describing the ONG tokenomics update as part of that upgrade.

Ontology’s older (2018) Triones incentive model contains more granular mechanics about node structure and reward routing. It states that the Triones consensus system has a genesis node threshold of 49, uses VBFT selection, and sets an initial consensus-to-candidate ratio of 1:6. It also states that, in the initial stage, the system adjusted the consensus network every 30 days, and that 50% of total revenue went to consensus nodes and 50% to candidate nodes.

Node participation requirements appear to have evolved over time, and Ontology’s public docs are not perfectly consolidated into a single “current spec.” In 2018, Ontology wrote that candidate pool entry needed at least 100,000 ONT staked and consumed 500 ONG as fuel cost.

By 2025, Ontology’s own node campaign guide tells prospective operators to have enough ONT (10,000 ONT) to register a node and meet staking requirements.

This discrepancy is not trivial for tokenomics. Staking system parameters control who can capture emissions, how concentrated governance becomes, and how much “work” (or credible commitment) is required to influence chain economics. Ontology clearly does change these parameters. The public trail exists, but it is fragmented across eras and document types.

Risk analysis: emissions sustainability under weak demand is the core stress test

Ontology’s token design is coherent, but it is not automatically self-justifying. The long-run equilibrium condition is simple: ONG emissions must be matched by productive demand for blockspace, execution, identity primitives, or ecosystem services that require ONG. If demand is weak, emissions become a transfer from passive holders to active claimants (stakers, node operators, liquidity programs) without generating real economic surplus.

For a comparison case study, see our Harmony (ONE) review.

Ontology’s 2025 changes clearly aim to reduce that pressure by capping and burning supply and by hardwiring some emissions into permanent liquidity. Ontology states the new model caps supply at 800,000,000 ONG and burns 200,000,000 ONG, and that “no additional ONG can ever be created beyond this limit.”

But it also keeps a predictable emission cadence of 1 ONG per second, with 80% directed to ONT staking incentives.

Top 3 risks

  1. Dominant risk: Emissions outpace economically grounded demand. Trigger: sustained low on-chain usage (low fee throughput and low organic ONG demand) while the protocol maintains its steady emission cadence of 1 ONG per second. Mechanism: ONG becomes primarily a subsidized reward token instead of a payment token, so claimants sell it to realize yield, pushing price down and forcing higher nominal yields to clear markets. The 2025 model explicitly routes 80% of released ONG to ONT staking incentives, which strengthens this “subsidy first” dynamic when demand is not there. Who bears it: ONT holders (via weaker staking reward purchasing power and weaker governance token perception), ONG holders (via dilution and sell pressure), and builders (via unstable incentive expectations). Measurable indicators: (i) fee revenue as a share of total ONG distributed, (ii) ONG price trend versus staking participation, (iii) staking APR that rises mainly because ONG price falls, (iv) emissions routed to liquidity operations dominating emissions routed to operator compensation.

    The 2025 changes help, but they do not “solve” this risk. A cap and burn improve the terminal supply picture, and the permanent liquidity lock can reduce reflexive volatility. Ontology says the mechanism permanently locks 100 million ONG worth of ONT and ONG through LP token burns. That is market-structure engineering. It is not productivity.

    There is also a subtle second-order effect. The governance Q&A states that rewards shift with ONG emissions “reduced by around 20%.” If usage is low, that reduction can still be too little. If usage is high, the cap becomes more credible and bullish because it anchors expectations. The design is sensitive to activity regime. That is structural uncertainty, not a rounding error.

    My bottom line: Ontology is doing the right kind of work by enforcing a hard cap, making emissions predictable, and acknowledging that liquidity depth matters. But the system still needs an output story. Without it, you are left with a high-visibility emissions schedule and no comparable high-visibility productivity function to justify it.

    For more comparable frameworks and datasets, we publish ongoing research reports.

  2. Governance concentration and parameter instability. Trigger: major economic parameters (emission allocation splits, lock mechanisms, node requirements) are changed by a relatively small governance surface. Mechanism: if voting power concentrates in Triones nodes and allied stakeholders, changes can be rapid and unanimous, which is operationally efficient but reduces minority protection. Ontology’s 2025 vote passed with 117,169,804 votes in favor and 0 against, and the project frames this as unanimous Triones node approval. Who bears it: passive ONT holders and external integrators who assume parameter stability. Measurable indicators: (i) concentration of stake among top nodes, (ii) frequency of tokenomics-affecting proposals, (iii) voter turnout diversity, (iv) divergence between “documentation-era” staking rules and current operational requirements (which is already visible).

  3. Two-token UX friction and “gas access” failures. Trigger: users acquire ONT (for staking or governance exposure) but lack ONG for transactions, staking operations, or withdrawals. Mechanism: dual-token systems routinely create stuck-state experiences, especially when gas cannot be easily acquired in-wallet or when “unbound” workflows are confusing. Ontology’s own developer tutorial emphasizes that most operations consume ONG and describes manual extraction of “unbound” ONG. Who bears it: retail users, dApp teams targeting low-friction onboarding, and validators who rely on broad staking participation. Measurable indicators: (i) wallet support quality for ONG acquisition, (ii) user support volume for “insufficient gas” issues, (iii) drop-off rates in staking flows, (iv) share of active addresses that hold ONT but effectively no ONG.

If you’re evaluating Ontology for an integration, validator strategy, or a broader token economy redesign comparison, treat the 2025 update as a strong signal that the team is willing to modify monetary policy. That improves survivability, but it also raises the bar for process clarity. In that scenario, a short engagement with tokenomics design services can be justified if it helps you model emissions-to-usage breakpoints and governance risk under multiple demand regimes.



This article is part of our Tokenomics Deep Dive series.