TPS Impact Model | Hedera's Role in EQTY Lab's Compute Revolution
Edited By
Fatima Al-Farsi
As 2026 unfolds, Hedera's potential as a pivotal audit layer in EQTY Lab’s Verifiable Compute stack is drawing serious attention. A new model forecasts various adoption scenarios, raising questions about the future workload implications on the network.
What’s Driving TPS?
The crux of the TPS (transactions per second) model revolves around the mechanics of AI workloads. Each AI job, which includes actions like inference and batch processing, can produce 1 to 3 transactions. These transactions serve as proof anchors, and optional processes such as identity checks can increase the load.
Adoption Scenarios: What to Expect?
Scenario A: Early Enterprise Adoption (2026–2027)
Overview: Expected involvement of 50-200 enterprises.
Jobs per Day: 1,000 to 10,000 per enterprise.
Projected Transactions: Roughly 1 million transactions a day (≈ 12 TPS).
Implication: The activity is notable but remains within existing network limits.
Scenario B: Scaled Enterprise (2027–2029)
Overview: Growth to 500-2,000 enterprises.
Jobs per Day: 10,000 to 100,000.
Projected Transactions: Estimated at 50 million daily (≈ 580 TPS).
Implication: This volume marks significant network engagement, set to establish Hedera’s position as an enterprise AI audit backbone.
Scenario C: The Future (2030+)
Overview: Introduction of millions of autonomous agents.
Jobs per Day per Agent: 20 actions.
Projected Transactions: Up to 150 million (≈ 1,740 TPS) with possibilities reaching 17,000 TPS in aggressive estimates.
Implication: This marks a structural shift in the agent economy, which could redefine network activity.
"Not just about the tech, but how often you need to prove actions occurred," reflects the essence of transactional growth.
Insights on TPS Growth
The breakdown emphasizes that factors influencing TPS include:
Frequency of Verifiable Events: This trumps model size or hardware requirements.
Agent Autonomy: Increased autonomy pushes TPS exponentially.
Regulatory Intensity: Regulated sectors will likely require more frequent logging, driving overall TPS higher.
Key Financial Implications
Initial projections suggest that with a TPS of 1,000, Hedera could manage approximately 86 million transactions per day, translating to about $3 million annually in revenue. If TPS hits 10,000, this could rise to an estimated $30 million yearly. But as clarified, TPS alone doesn't equate to rapid revenue growth; it speaks to a strategic positioning within the industry.
Key Constraints for Growth
However, if Hedera integrates fully:
Enterprises may batch transactions or limit proof frequency, capping TPS growth unless regulatory measures necessitate more granular verification.
The Bottom Line
If the trends align as predicted, Hedera could deliver significant TPS growth: 10-50 TPS in the near term, scaling to 1,000 or more long-term. The essential question remains—will Hedera establish itself as the default trust layer for AI systems?
Predictions on TPS and Network Growth
There's a strong chance that Hedera will experience gradual growth in transactions per second, potentially reaching around 50 TPS by late 2026. Several factors will drive this expansion, primarily the increasing number of enterprises engaging with the platform. Analysts foresee that with the growing trend of adopting AI systems, it’s likely that businesses will push for enhanced verification methods. There's about a 70% probability that regulatory pressures will reinforce this demand, resulting in a major shift that solidifies Hedera's role as a preferred audit layer as companies seek more reliable tracking of transactions.
A Surprising Historical Parallel
In the late 19th century, when the railroads expanded across the United States, the industry faced similar issues regarding operational efficiencies and regulatory scrutiny. Railroads were initially slow to prove the reliability of their service, leading to public mistrust and inconsistent operations. However, as regulations tightened and services improved, the industry flourished, ultimately transforming the American economy. Just as those early rail pioneers leveraged trust to gain traction, Hedera stands to shape the future of transactions by addressing the pressing verification concerns of today’s digital landscape.