TPS Impact Model | EQTY Lab’s Verifiable Compute and Hedera's Future

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A new TPS impact model for EQTY Lab’s Verifiable Compute stack highlights the potential of Hedera as an audit layer for AI tasks. As enterprises increasingly adopt this technology, the daily transactions could surge significantly, changing the crypto landscape.

Understanding the TPS Mechanics

Each AI operation, or “unit of work,” can drive transactions per second (TPS). Here’s how it breaks down:

• 1 transaction generates a proof anchor (hash + metadata)

• Optional:

  • Identity checks

  • Multi-step workflows

  • Periodic checkpoints

Base Case Scenarios

One AI job generates approximately

1. Early Enterprise Adoption (2026–2027):

   • Est.: 50–200 enterprises

   • Jobs: 1,000–10,000 per day each

   • TPS Forecast: ~12 TPS

   • Interpretation: Noticeable but within current baseline network usage.

2. Scaled Enterprises + Regulated Sectors (2027–2029):

   • Est.: 500–2,000 enterprises

   • Jobs: 10,000–100,000 per day

   • TPS Forecast: ~580 TPS

   • Interpretation: Significant load; positions Hedera as an AI audit backbone.

3. Agent Economy + Machine to Machine AI (2030+):

   • Est.: Millions of autonomous agents

   • Action Rate: 20 per day per agent

   • TPS Forecast: ~1,740 TPS

   • Aggressive Upside Scenario: If agents double to 20 million, TPS could reach 17,000 TPS.

Drivers of TPS Growth

Hedera's TPS is influenced by several key factors:

• Verification Granularity: More frequent proves can vastly increase TPS.

• Regulation Intensity: Finance and healthcare sectors require more frequent logging.

• Agent Autonomy: Fully autonomous agents can lead to exponential TPS growth.

• Multi-step Workflows: Each action needing multiple verifications can multiply TPS significantly.

Potential Revenue Impact

While a growth in TPS is anticipated, revenue from Hedera's transactions may take time to materialize:

• At 1,000 TPS: ~86 million tx/day could lead to approximately $3 million annually.

• At 10,000 TPS: Potential revenue could rise to $30 million/year.

What This Means for Hedera

• High Quality TPS Source: Driven by enterprise needs, establishing lasting ties to compliance.

• Strategic Shift: Hedera could be the default audit layer for AI systems, moving away from its image as a retail crypto network.

The Bottom Line

If EQTY Lab’s model ramps up within Hedera, we could see a TPS uplift from 10–50 TPS in the near term, scaling to 1,000–10,000+ TPS in the long run. However, enterprises may prefer batch transactions, potentially capping TPS unless regulatory measures encourage more granular logging.

"The real issue isn't just about TPS but about trust in AI systems."

Key Insights

• 🚀 Early Tiers: 10–50 TPS expected in the earliest phases (2026-2027).

• ⚖️ Medium Term: Predictions suggest 200–1,000 TPS for broader enterprise scaling (2027-2029).

• ⚡ Long-Term Outlook: Potential for exponential growth with an agent-driven economy (2030+).

In an era where trust in technology is paramount, will Hedera rise to meet the challenge? The data suggests strong potential, but only time will tell.

Expecting Shifts in the Crypto Sphere

Experts forecast that as enterprise adoption gathers momentum, Hedera's TPS may soar dramatically. There's a strong chance of hitting 200–1,000 TPS by 2029 as sectors like finance and healthcare embrace stricter regulations, driving the need for detailed transaction logs. As large enterprises ramp up AI workflows, forecasts suggest a robust surge, with TPS potentially peaking well beyond 10,000 by 2030. Company executives are already hinting at adjusting strategies to enhance compliance, meaning that businesses could switch to more granular logging methods. These shifts not only represent an evolution in transaction capacity but also promise to reshape how organizations view and relate to their AI systems daily.

Beyond the Surface: Lessons from the Industrial Revolution

Drawing an unexpected parallel with the Industrial Revolution might shed light on today’s tech upheavals. Just as early steam engines prompted a surge in factory productivity, the TPS impact model for EQTY Lab stands as a new engine for AI expansion. Back then, while some feared that automation would displace workers, others saw it as a chance to forge new industries and career paths. Similarly, today’s rise of AI and blockchain innovations presents a duality; instead of merely replacing jobs, they could unlock unforeseen opportunities and reshape entire sectors. This brings into focus the importance of adaptability, shedding light on how each technological wave, while disruptive, can ultimately serve as a launchpad for creativity and progress in society.