TPS Impact of EQTY Lab’s New Compute Stack | Boosts Hedera's Potential
A fresh analysis of EQTY Lab's Verifiable Compute stack shows how Hedera could serve as a vital audit layer, significantly affecting transaction speeds. Ongoing debates highlight both excitement and skepticism among people considering the impact of AI adoption in this context.
Breaking Down Transaction Generation
The TPS impact model outlines how each AI task translates into potential transactions. Key points include:
Each AI job typically results in 1-3 Hedera Consensus Service (HCS) transactions.
Tasks range from single transactions to proof anchors and optional verification checks.
Adoption Scenarios Driving TPS Growth
Three adoption scenarios illustrate the growth potential:
Scenario A: Early Adopters (2026-2027)
Participants: 50-200 enterprises
Jobs: 1,000-10,000 daily per enterprise
Calculation: 100 enterprises, 5,000 jobs each, 2 tx/job
Results: 1,000,000 tx/day, roughly 12 TPS
Insight: Noticeable, but within network limits.
Scenario B: Scaled Enterprises (2027-2029)
Participants: 500-2,000 enterprises
Jobs: 10,000-100,000 daily per enterprise
Calculation: 1,000 enterprises, 25,000 jobs each, 2 tx/job
Results: 50,000,000 tx/day, around 580 TPS
Conclusion: A substantial load, positioning Hedera as an audit backbone.
Scenario C: Autonomous Agents (Post-2030)
Participants: Millions of agents
Actions: 20 actions daily per agent
Calculation: 5 million agents, 20 actions, 1.5 tx/action
Results: 150,000,000 tx/day, about 1,740 TPS
Potential Upside: Could skyrocket to 17,000 TPS if factors align.
What Drives TPS?
The model suggests key influences on TPS revolve less around technology and more around the frequency of verifiable events. An insightful comment pointed out that "hcs is now $ per transaction (still cheap)"—indicating that potential revenue might be substantially higher than previously estimated.
Sensitivity Drivers to Consider
Verification Granularity: Higher detail leads to significant TPS boosts.
Regulatory Intensity: Fields such as finance may require more logging, affecting transaction rates.
Agent Autonomy: Full autonomy can lead to exponential TPS growth, with a comment highlighting skepticism about adoption: "nobody want to pay for this, nobody adopt this, 0 TPS."
Market Implications for Hedera
Hedera emerges as a compliance-driven chain with revenue possibilities:
At 1,000 TPS: Potential revenue around $3M/year.
At 10,000 TPS: Possible rise to approximately $30M/year.
A user estimated revenue increases could happen, suggesting that increased TPS might not immediately translate into profits but signals a proactive move toward regulatory compliance.
Constraints and Future Trajectories
Despite potential integration, enterprises may batch transactions, limiting TPS unless regulations change to favor granular logging. The report lays out TPS projections:
Near Term (2026-2027): 10-50 TPS
Medium Term (2027-2029): 200-1,000 TPS
Long Term (2030+): 1,000-10,000+ TPS
What's Next for Hedera?
The consensus among many indicates a strong chance Hedera could become the go-to audit layer for AI systems, with experts placing a 70% likelihood on reaching 1,000 TPS or higher by 2030. With autonomous agent activity increasing and regulatory demands for granular verification rising, Hedera could redefine validation processes for businesses.
In Summary
Potential Revenue: $3M-$30M/year, depending on TPS capacity.
Event Frequency Drives TPS: As user comments suggest, frequent events are vital for success.
Skepticism Remains: Adoption challenges linger despite potential benefits.
"If Hedera catches on, TPS will go up, possibly a little or possibly a lot." - Forum Insight
Navigating these developments will be crucial for stakeholders as they evaluate Hedera’s place in the evolving landscape of AI auditing.