> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nyc-ai.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Deployment timeline and economics

> Phased rollout milestones for Alpha, Beta, and Gamma, plus the economic impact of the buildout.

Empire AI is rolling out in phases so researchers can start using compute capacity early while the long-term facility build proceeds at the University at Buffalo.

## Deployment timeline

| Phase                           | Target date            | Milestone                                                                               |
| ------------------------------- | ---------------------- | --------------------------------------------------------------------------------------- |
| Consortium launch               | April 2024             | Governor Hochul formally launches Empire AI.                                            |
| Alpha online                    | Oct./Nov. 2024         | Initial system becomes operational for pilot users and workflow validation.             |
| Beta announced                  | June 2025              | Empire AI announces the \$40 million NVIDIA-powered Beta system.                        |
| Beta availability               | Late 2025 / early 2026 | Next-generation capacity is phased into researcher onboarding and allocation workflows. |
| Permanent facility construction | 2026                   | Custom facility construction at UB is scheduled for completion.                         |
| Gamma operational target        | H1 2027                | Full Gamma environment is expected to come online.                                      |

## What each phase is for

Alpha gives the consortium a working environment early. That matters because it lets researchers begin pilot projects, software validation, and onboarding before the larger infrastructure is complete. Beta is the first major scale jump. It is the phase that moves Empire AI from a promising pilot into a nationally significant academic AI platform. Gamma is the long-term buildout that ties the computing center to purpose-built physical infrastructure at UB.

<Tip>
  Think of the rollout as staged risk reduction. Alpha validates workflows. Beta scales production AI research. Gamma finishes the permanent facility and long-horizon operating model.
</Tip>

## Macro-economic impact

Empire AI is also a regional infrastructure investment, not just a research asset. The materials you provided describe a concentrated Buffalo-area buildout between 2024 and 2027 with measurable state-level economic effects.

* Approximately \$196 million goes into construction, equipment, and related supercomputing infrastructure.
* About \$90 million of that spend is expected to flow to in-state suppliers, contractors, and engineering firms.
* The buildout is projected to generate about \$155 million in one-time economic output in New York State.
* The project is expected to support roughly 200 jobs per year during the 2024-2027 period.
* Direct labor income over that period is estimated at about $67 million, or roughly $89,200 per worker on average.

These numbers explain why Empire AI is framed as both research infrastructure and economic development policy. The state is using the computing center to create technical capacity, attract talent, and keep more AI-related spending, jobs, and downstream innovation inside New York.

## Related milestone

Later board and membership expansion also tracks the timeline. By October 8, 2025, Empire AI had added new board members and expanded institutional participation to include the University of Rochester, Rochester Institute of Technology, and the Icahn School of Medicine at Mount Sinai. That broadened the research base at the same time the infrastructure was scaling.
