TPS Impact Model | Hedera's Role as Audit Layer in EQTY Lab’s Compute
A newly proposed model highlights the transaction-per-second (TPS) impact of Hedera acting as the audit layer for EQTY Lab’s Verifiable Compute stack. As enterprise adoption ramps up, several comments from forums suggest varying perspectives on Hedera's potential to drive TPS.
Key Insights on TPS Generation
The model indicates that each AI task, like inference and batch jobs, can generate multiple transactions:
1 transaction per proof anchor, potentially more for:
Identity checks
Multi-step workflows
Checkpoints
Base Case Analysis
1 AI Job ≈ 1–3 HCS transactions.
Three Phases of Adoption
The framework outlines three significant adoption phases shaping TPS:
Early Enterprise Adoption (2026–2027)
50–200 enterprises.
1,000–10,000 jobs daily.
Daily Transactions Calculation:
100 enterprises × 5,000 jobs × 2 transactions = 1,000,000 transactions/day.
TPS: Approximately 12.
Interpretation: Noticeable but non-transformative.
Scaled Enterprise + Regulated Sectors (2027–2029)
500–2,000 enterprises.
10,000–100,000 jobs daily.
Daily Transactions Calculation:
1,000 enterprises × 25,000 jobs × 2 transactions = 50,000,000 transactions/day.
TPS: About 580.
Significance: Material load positions Hedera as the enterprise AI audit backbone.
Agent Economy (2030+)
Millions of agents interacting continuously.
Daily Transactions Calculation:
5 million agents × 20 actions × 1.5 transactions = 150,000,000 transactions/day.
TPS: Roughly 1,740.
Critical Insight
The feedback from forums indicates that the frequency of verifiable events drives TPS, not simply the size of AI models. "If Hedera catches on, TPS will go up, possibly a little or possibly a lot," one contributor shared, reflecting optimism about future adoption.
Factors Influencing TPS
Several key elements will influence TPS:
Granularity of Verification: High TPS for inference-level verification versus low for batch verification.
Regulation Intensity: More stringent in finance and healthcare sectors.
Agent Autonomy: Fully autonomous systems can yield exponential TPS compared to processes involving humans.
Multi-step Workflows: Increased complexity can enhance TPS.
Revenue Implications
At 1,000 TPS: Approximately $3 million/year.
At 10,000 TPS: About $30 million/year.
The forum contributions suggested some skepticism about actual adoption, with one comment declining the likelihood of significant uptake, stating, "Scenario 6: nobody wants to pay for this, nobody adopts this, 0 TPS."
"TPS growth may not equal massive revenue, but it signals strategic positioning," another user noted.
Takeaways on Future Potential
Short-term Uplift: Hedera could see an increase of 10–50 TPS.
Medium-term Growth: Potentially reaching 200–1,000 TPS.
Long-term Projection: TPS could surpass 1,000 in an agent-driven economy.
Final Thoughts
As market dynamics evolve, Hedera may become a crucial audit layer for AI. The sentiment varies, with people expressing both skepticism and hope about the model's assumptions. Can Hedera reach its projected potential in an increasingly automated world? Only time will tell, but these insights suggest a promising trajectory for TPS in the crypto space.