In April 2026, the decentralized AI network Bittensor found itself at a pivotal intersection of multiple narratives. On one hand, its native token TAO underwent its first halving in December 2025, reducing the daily issuance from 7,200 to 3,600 tokens and officially entering a supply contraction phase. On the other, heavyweight asset managers Grayscale and Bitwise simultaneously filed spot ETF applications for TAO, with the SEC’s decision window set for August 2026. Meanwhile, Grayscale’s AI crypto fund significantly increased TAO’s allocation from 31.35% to 43.06%, marking the largest single-asset concentration in the fund’s history.
Taken together, these signals evoke comparisons to Bitcoin’s post-halving market dynamics—where supply contraction coupled with ETF-driven inflows often serve as powerful catalysts for price appreciation. However, TAO’s market environment is far from stable. As institutions ramped up their holdings, Bittensor’s ecosystem faced its most severe governance crisis since inception: core subnet operator Covenant AI exited the network, citing "decentralization theater," and its founder sold approximately 37,000 TAO, triggering a price crash of over 25% in a short span.
Institutional narratives and ecosystem crises coexist, with halving effects and ETF expectations intertwined. TAO stands at the center of an exceptionally complex game theory landscape.
Four Key Threads Unfolding Simultaneously
In early April 2026, the Bittensor ecosystem rapidly encountered four interconnected yet distinct developments.
First, the halving was realized. On December 15, 2025, Bittensor completed its first halving, reducing block rewards from 1 TAO to 0.5 TAO and daily issuance to 3,600 tokens. This structural supply contraction has been in effect for about four months.
Second, dual ETF applications. On April 2, 2026, Grayscale submitted a revised S-1 filing for its Bittensor Trust, aiming to convert it into a spot ETF listed on NYSE Arca (ticker GTAO). Bitwise also filed a similar TAO ETF application, with the SEC’s decision window expected to open in August.
Third, institutional accumulation. On April 7, 2026, Grayscale completed its quarterly rebalancing for the AI crypto fund, raising TAO’s allocation from 31.35% to 43.06%. Other assets in the fund, such as NEAR Protocol, Filecoin, and The Graph, saw their weights reduced. This move signals a clear concentration bet.
Fourth, the governance crisis erupted. On April 10, subnet operator Covenant AI publicly announced its exit from the Bittensor network, accusing co-founder Jacob Steeves of "centralized control" and calling the project’s decentralization promise "a performance." The founder subsequently sold about 37,000 TAO, triggering widespread liquidation of long positions. TAO’s price plunged from a high of roughly $341 to a low of $248.8 within 12 hours, with a 24-hour swing of 36.5%.
These four threads overlap significantly in time, forming the core analytical focus of the current TAO narrative.
Supply Curve Analysis: How Halving Reshapes TAO’s Inflation Structure
Bitcoin Halving Model and TAO’s Inheritance
Bittensor’s tokenomics closely mirror Bitcoin on the supply side. TAO’s maximum supply is capped at 21,000,000, with a programmed halving mechanism to control inflation. On December 15, 2025, TAO underwent its first halving, reducing daily issuance from 7,200 to 3,600 tokens and block rewards from 1 TAO to 0.5 TAO.
Here’s a comparison of TAO and Bitcoin’s supply structures:
| Metric | Bitcoin | TAO |
|---|---|---|
| Max Supply | 21,000,000 | 21,000,000 |
| Halving Cycle | ~4 years | Based on issuance (first 4 years) |
| First Halving Effect | Block reward from 50 BTC to 25 BTC | Block reward from 1 TAO to 0.5 TAO |
| Post-Halving Daily Issuance | Halved by 50% | From 7,200 to 3,600 |
From a design perspective, TAO clearly draws from Bitcoin’s scarcity narrative. The essence of halving is to programmatically compress new supply, providing structural price support under the assumption of stable or growing demand.
Actual Magnitude of Supply Contraction
As of April 23, 2026, Gate market data shows TAO priced at $242.6, with a circulating supply of 9,590,000 tokens, corresponding to a market cap of about $2.32 billion and a fully diluted market cap of $5.09 billion. The ratio of market cap to fully diluted cap stands at 45.7%. Before the halving, TAO’s annual inflation rate was roughly 12.5% (based on daily issuance of 7,200 and circulating supply of about 9,000,000); post-halving, inflation dropped to around 6.2%, halving supply-side pressure.
Purely from a supply contraction perspective, TAO’s current inflation rate is comparable to Ethereum’s post-Merge level (about 0.5%–2%, excluding burn), and lower than Solana’s (about 5%–7%). This is a relatively neutral supply-side fundamental.
Key Differences from Bitcoin’s Halving
However, directly comparing TAO’s halving to Bitcoin’s reveals a crucial issue: Bitcoin’s halving occurs after its network value capture mechanism has been fully validated, while TAO’s halving happened as its ability to generate external revenue remains in early stages.
Bitcoin miners earn from both block rewards (inflation subsidy) and transaction fees. As the network matures, fees increasingly buffer the halving effect. In contrast, Bittensor’s subnets still rely heavily on TAO’s inflation subsidy for operations, lacking large-scale external AI service revenue. Analysts note the network currently depends on about $52 million in annual subsidies to function, and this structural revenue gap becomes more pronounced post-halving.
In other words, halving is a double-edged sword: it reduces supply but also shrinks the "fuel pool" for incentivizing participants. When inflation subsidies are halved, subnet operators and miners’ willingness to stay depends on their expectations for the network’s future value growth.
Institutional Capital Flows: From Grayscale AI Fund Rebalancing to ETF Applications
Grayscale AI Fund Weight Adjustment: From Diversified to Concentrated
On April 7, 2026, Grayscale executed a major rebalancing of its AI crypto fund. Unlike previous quarterly adjustments, this move was highly directional: TAO’s allocation jumped from 31.35% to 43.06%, while other assets—NEAR Protocol, Filecoin, The Graph, Story Protocol, etc.—saw their weights reduced.
Grayscale neither added nor removed assets in this round, but instead concentrated its bet on TAO through internal weight adjustments. In institutional investing, such moves typically signal a clear preference within a given sector—not just a general bullishness on "decentralized AI," but a selection of a core asset within the sector.
At the same time, Grayscale formally filed the first spot TAO ETP S-1 registration with the SEC in December 2025 (product code GTAO), and submitted a revised filing on April 2, 2026, further advancing the ETF conversion process. If approved, this would be the first US-listed ETP focused on TAO, providing a regulated investment channel for retirement accounts, registered investment advisors, and other institutional investors unable to directly custody native crypto assets.
Dual ETF Application Timeline and Market Expectations
Grayscale and Bitwise filed spot TAO ETF applications in parallel, with the SEC’s decision window expected in August 2026. This timing serves as a core catalyst for TAO over the coming months.
It’s worth noting that the Grayscale Bittensor Trust (GTAO) currently trades on the OTC market, but its share price shows a clear premium over net asset value (NAV). As of April 17, the trust’s NAV per share was $5.00, while the market price was $7.74. This premium signals two things: first, some investors are willing to pay extra for compliant TAO exposure, indicating demand; second, the premium also highlights liquidity bottlenecks, which the ETF structure could help resolve.
Institutional Custody and Staking Infrastructure Maturation
Beyond ETF filings, Bittensor’s institutional-grade infrastructure is also advancing. BitGo has partnered with DCG’s validator service Yuma to offer TAO custody and staking for institutional clients. As a regulated qualified custodian, BitGo’s involvement provides a compliant and secure channel for institutional capital entering the TAO ecosystem.
Additionally, other custodians like Copper and Crypto.com have joined Bittensor’s network via Yuma’s validator nodes, further expanding institutional participation options. The maturation of these infrastructures lays the groundwork for potential institutional inflows once ETFs are approved.
Governance Crisis Breakdown: Covenant AI’s Exit
Event Timeline and Immediate Impact
On April 10, 2026, Covenant AI, a core subnet operator on Bittensor, issued a public statement announcing its formal exit from the ecosystem. Founder Sam Dare directly accused Bittensor co-founder Jacob Steeves of "centralized control," calling the project’s decentralization promise "a carefully staged act."
Covenant AI operated three subnets on Bittensor, including the Templar subnet, which built the Covenant-72B large model with 72 billion parameters. This model received high praise from Nvidia CEO Jensen Huang, who called it "a remarkable technical achievement." That endorsement helped drive TAO’s price from about $247 to over $370 in March. The departure of such a flagship builder dealt a heavy blow to market confidence.
After the statement, TAO’s price quickly fell from about $338 to $285. Covenant AI’s founder then sold roughly 37,000 TAO subnet tokens (worth $9–10 million), triggering widespread liquidation of long positions and further dropping the price from a weekly high of $341 to around $248.8.
Points of Contention and Responses
The dispute centers on Bittensor’s governance structure. Covenant AI argues that the network’s three-signature multisig setup does not constitute true decentralized governance, with Steeves retaining effective control and unilateral ability to deploy changes.
Jacob Steeves responded point-by-point on X, denying the power to pause subnet emissions and explaining that his sales were routine for non-operational subnets. He also proposed restarting community voting governance on Discord, while criticizing Sam Dare’s decisions as "clearly malicious and greedy."
Based on current public information, both sides remain entrenched, and the dispute is unresolved. The incident exposes deep issues in Bittensor’s governance transparency and power distribution.
Impact on the Decentralization Narrative
Covenant AI’s exit struck the market so hard because it directly challenged Bittensor’s core value proposition as a "decentralized AI network." A project waving the banners of "permissionless" and "decentralized," if even its key builders question the authenticity of its governance, inevitably faces doubts about its long-term appeal to developers and capital.
However, on-chain data reveals a notable counter-signal: despite the price crash, about 70% of TAO tokens remained staked during this period. This suggests that core network participants—including miners and long-term holders—continued to support protocol security and functionality, providing structural market support and signaling faith in the network’s long-term resilience.
Industry Impact Analysis: The Significance of the Bittensor Case for Decentralized AI
Institutional Capital’s Evolving Allocation Logic in AI Crypto Assets
Grayscale’s move to increase TAO’s weight to 43.06% is a milestone for the decentralized AI sector. Post-adjustment, TAO and NEAR Protocol together account for about 67.5% of the fund, indicating institutional capital is shifting from broad sector exposure to concentrated bets on specific core infrastructure projects.
This shift is rooted in the logic that, as the AI-crypto narrative moves from concept to infrastructure validation, market focus is shifting from "who can tell the best AI story" to "whose underlying architecture can capture long-term value." TAO’s halving mechanism, subnet architecture, and tokenomics have made it a priority for institutional funds in this selection process.
Decentralized AI Governance as an Industry Benchmark
Bittensor’s governance crisis is more than a single project’s issue—it serves as a critical case study for the entire decentralized AI sector. The core value of decentralized AI lies in distributed collaboration and permissionless participation, lowering entry barriers and monopoly risks for AI infrastructure. However, the degree of decentralization in governance directly determines whether this value proposition holds.
If Covenant AI’s accusations are even partially accurate, Bittensor’s governance structure harbors centralization risks, potentially undermining its long-term valuation logic as "decentralized AI infrastructure." Conversely, if the project can resolve the dispute through transparent governance improvements and community engagement, it may become a reference case for decentralized AI projects facing governance crises.
Valuation Logic Recalibration
TAO’s current circulating market cap is about $2.32 billion, with a fully diluted cap of $5.09 billion. Against a backdrop of accelerating institutional inflows and rising ETF expectations, whether this valuation is justified depends on the network’s ability to sustain real AI service demand. Analysts note Bittensor’s valuation is shifting from "speculation-driven narrative premium" to "utility-driven network value," with subnet expansion, computational output, and actual AI usage increasingly defining sustainable price trends.
Conclusion
TAO is at a rare narrative crossroads: Bitcoin-style supply halving provides a scarcity foundation, dual ETF applications pave the way for institutional capital, and the governance crisis serves as a mirror reflecting the gap between decentralized AI ideals and reality.
Supply contraction is a certainty, ETF approval remains an open catalyst, and governance is the largest variable. The dynamic interplay among these three will determine whether Bittensor can write its own story atop the Bitcoin halving script.
As of April 23, 2026, Gate market data shows TAO priced at $242.6, with a 24-hour trading volume of $2,110,000 and a market cap of $2.32 billion. The price fell 1.98% over the past 24 hours, 22.48% over the past 30 days, and 28.32% over the past year. Amid competing institutional narratives and ecosystem crises, TAO’s short-term volatility is likely to persist, while its long-term value will depend on whether the network can convert halving-driven scarcity into real AI service demand and governance transparency into builder confidence.
