AI Funding Austria 2026: KMU.DIGITAL, FFG, aws and the Research Premium for AI Projects

For an AI project in Austria there are four main routes in 2026. The shorthand: aws funds adopting existing AI, FFG funds research and new builds, the research premium (Forschungsprämie) gives a 14 percent tax credit on genuine R&D, and KMU.DIGITAL covers consulting plus small implementation. The honest catch: availability depends on open calls and remaining budget. As of mid-2026, KMU.DIGITAL's official page reports its total budget as exhausted, and the aws AI calls are not open right now. And the advertised "up to 80 percent" mixes grant, loan and tax credit. The net cash grant is usually well below that.

This is an honest assessment, not a funding pitch. All figures are as of mid-2026 and they change (budgets, call windows, a reform of the research premium regulation). Before any planning, check the current status on the relevant program page or with WKO, FFG and your tax advisor.

The four routes at a glance

What fits what, with the verified key figures. All details as of mid-2026, double-check before you apply.

aws: for adopting AI

aws is the federal promotional bank and funds AI through AI Mission Austria. AI-Start gives up to 50 percent and a maximum of EUR 15,000 for a company's first AI project. AI-Adoption funds the adoption of trustworthy AI with up to 80 percent (De-minimis) or 25 to 45 percent under GBER, up to EUR 150,000. The key point: the aws AI programs run call-based, an application is only possible in open windows, and as of mid-2026 no call is open. That does not mean the funding does not exist, only that you have to wait for the next window. Subscribe to the newsletter and check the status on aws.at.

FFG: for research and new builds

FFG is the research track. It is relevant when there is genuine development with novelty in it, meaning your own model, a novel method or a real technological barrier you overcome. The Basisprogramm is open in scope and accepts rolling submissions, up to 50 percent for small companies as a mix of grant and loan. The Innovationsscheck is the low-barrier entry point: up to EUR 10,000 in grant, but mandatorily with a research partner. If you do collaborative frontier AI research, look at AI Ökosysteme 2026 under the AIM AT umbrella, with a submission deadline of 6 October 2026. Important for drawing the line: FFG does not fund the mere adoption of existing AI, that is what aws is for.

Research premium (Forschungsprämie): 14 percent on genuine R&D

The research premium (Forschungsprämie) is different from the rest: no competition and no budget pot, but an annual legal entitlement to 14 percent of your R&D expenditure, claimed via FinanzOnline with a free FFG annual expert opinion. Eligible items include R&D staff costs, direct expenses and a notional entrepreneur's salary. What does not count is the honest part: pure routine work, rolling out standard software and building a simple GPT wrapper generally do not meet the five Frascati criteria (novelty, creativity, uncertainty, systematic approach, reproducibility). A novel model or method with a genuine knowledge objective does. Mind the 2026 reform of the research premium regulation (among other things on near-to-market R&D) and clarify the interpretation with your tax advisor. More depth in our piece on the research premium for software development.

KMU.DIGITAL: consulting and small implementation

KMU.DIGITAL is not an AI program, but it suits the strategy work ahead of an AI project and low-barrier implementation. Consulting is funded at 80 percent up to EUR 400 (status analysis) and 50 percent up to EUR 1,000 (strategy), with an overall cap of EUR 3,000. Implementation gives up to 30 percent and a maximum of EUR 6,000, but requires a previously completed, funded consulting engagement. The important status as of mid-2026: the official page reports the budget as fully exhausted. Some consultant pages claim the opposite, but they have a business interest in the program. When in doubt, follow the official source and check the status on kmudigital.at before any planning.

Stacking and the double-funding ban

The basic rule is simple: the same euro of expenditure may not be funded twice. But different cost items of a project may come from different pots. In practice that means the research premium can be combined with a grant, but the subsidized cost base is reduced before the 14 percent are calculated. You do not claim the premium on the part that was already subsidized. On top of that, the EU state-aid maximum intensities cap the total rate per project, so stacking eventually hits a ceiling. Which combination is permissible in your case is something you settle with FFG, aws and your tax advisor. How the building blocks stack in detail is shown in our piece on stacking aws, FFG and the research premium.

Which program for which project

1. Adopting or integrating existing AI tools (Copilot, a RAG assistant on a standard stack, process automation): aws AI-Adoption or AI-Start, as soon as a call is open.
2. Building something new, genuine R&D (your own model, a novel method): FFG Basisprogramm (rolling) or AI Ökosysteme (call until 6 October 2026).
3. A first small R&D step with a research partner: FFG Innovationsscheck.
4. A tax refund on ongoing R&D: the research premium, provided genuine R&D under Frascati exists.
5. Positioning and strategy before the project: KMU.DIGITAL consulting, provided budget is open again.

"Justify the project first, then look for funding, never the other way around. If an AI project only adds up with grant money, it does not add up. And anyone who sells you the funding as the main argument rarely sells the best implementation."

The honest part

Funding is real and it pays off, but it has side effects that few people talk about. It invites over-scoping, because you inflate the project to fit a program instead of building the smallest possible thing that delivers value. The application effort is real: expert opinions, cost plans, cooperation partners, call windows and documentation can eat up the benefit on small grants. And "we will get you the funding" is not a quality criterion for an implementation partner. Whether an AI project is any good is decided by execution and impact, not by grant money. Funding is an accelerator, not a business model.