TPS Impact Model | EQTY Lab's Compute Strategy Sparks Interest
Edited By
Nina Soboleva
A growing focus on transaction per second (TPS) has emerged with EQTY Lab's recent model, which envisions Hedera as a critical audit layer for its Verifiable Compute stack. Insights from the modeling reveal how AI integration could transform everyday enterprise operations in the crypto space.
Understanding TPS and Its Implications
The core mechanics of EQTY Lab’s TPS impact model hinge on the generation of transactions through various AI tasks. Each AI job can create 1-3 Hedera Consensus Service (HCS) transactions. The model establishes three scenarios to gauge potential enterprise adoption from 2026 to 2030 and its effects on TPS rates.
Adoption Scenarios
Scenario A (2026-2027): With early adoption from 50-200 enterprises, we could see daily transactions reach 1 million, translating to about 12 TPS. This figure signifies a noticeable increase, but it won’t drastically alter network dynamics.
Scenario B (2027-2029): As enterprises scale, up to 1,000 businesses could handle 50 million daily transactions, reaching around 580 TPS. This would mark Hedera as a key player for enterprises needing an AI audit backbone.
Scenario C (2030+): In a future with millions of agents performing continuous actions, as many as 150 million daily transactions may push TPS to approximately 1,740. An aggressive prediction suggests 20 million autonomous agents could push TPS sky high—potentially up to 17,000.
"The frequency of verifiable events is pivotal in driving TPS, not merely the tech behind it," shared an expert opinion from the field.
Factors Affecting TPS Growth
The primary drivers influencing TPS growth include:
Verification granularity—higher frequency leads to exponential TPS.
Regulation intensity—sectors like finance demand more frequent logging.
Agent autonomy—fully autonomous operations can greatly increase transaction rates.
Economic Implications for Hedera
Hedera is seen as a potential bastion for enterprise-grade TPS. Currently, the TPS growth signal may not translate into immediate revenue, with estimates suggesting:
At 1,000 TPS: Approximately $3 million per year.
At 10,000 TPS: Near $30 million annually.
Insights project that as Hedera shifts from a retail crypto network to a go-to audit layer for AI systems, its strategic positioning could dramatically evolve.
Thoughts from the Community
Feedback from people indicates a mix of enthusiasm and skepticism:
"The mathematical breakdown is much appreciated!"
"This level of understanding is still beyond what I can process."
Some feel promises regarding TPS may be overly ambitious.
Key Insights
◉ Early phases (2026-2027): 10-50 TPS from pilot projects.
◉ Scaling phases (2027-2029): 200-1,000 TPS with enterprise adoption.
◉ Long-term expectations: Over 1,000 TPS in a fully realized agent economy.
What Lies Ahead
While Hedera stands on the brink of substantial TPS enhancements, community sentiment suggests potential hurdles. If enterprises batch transactions or limit proof frequency, TPS may not reach anticipated heights.
In reviewing EQTY Lab's model, the focus appears less on transaction volume and more on establishing trust within AI systems. Can Hedera rise to the occasion and become the default layer for auditing AI operations?
Anticipating the Road Ahead
There's a strong chance that Hedera will solidify its role as an integral player in the crypto space within the next few years. Experts estimate about a 70% probability that TPS will significantly increase as more enterprises integrate Hedera into their operations. By 2029, nearly 1,000 businesses might fully adopt the platform, potentially pushing transactions to an impressive 580 TPS. As enterprises demand more from their blockchain solutions, heightened verification needs could drive even more extensive adoption, further repositioning Hedera as a reliable backbone for AI and enterprise systems.
A Lesson from the Unexpected
Consider the rise of email systems in the 1990s—a transformative period when businesses reluctantly transitioned from paper to digital communication. Initially met with skepticism, those systems flourished beyond expectations, reshaping how information travels. Just like that shift, the current demand for TPS growth within blockchain technology could overshadow initial doubts and lead to rapid, widespread acceptance. Both scenarios remind us that true innovation often confronts resistance before finding its footing in everyday practices.