German AI influence & public money

Who shapes AI policy — and where is public money allocated?

This source graph connects disclosed lobbying activity, parliamentary proceedings and EU funding allocations around AI. It shows evidenced relationships, not who ultimately determines political decisions.

Official sourcesMoney types kept separateRule-based · no generative model
Archive snapshotData as of 13 Jul 2026, 11:57Tracking since 13 Jul 2026
360Organisations with a disclosed AI connection in the Lobby Register
137AI-related regulatory projects in Lobby Register disclosures
755Bundestag procedures with their own AI match
€997,035,028.30Net EU contribution allocated to German participants under grant agreementsAllocated, not verified as paid
Source-bound relationships

One selection and its direct relationships

Choose a node. The graph shows only direct relationships evidenced by official sources. Sources remain separate; an identity link never merges their facts.

150 results
Organisation · German Bundestag Lobby Register

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH: 5 direct relationships

Open source ↗
SourceOrganisationInterest representation

Relationships as a list

The visual is a bounded, deterministic sample. The tables below carry the complete result counts and the most important individual facts.

Lobby Register

Disclosed AI interest representation

The Lobby Register shows which organisations represent interests towards the Bundestag and Federal Government and which regulatory projects, statements or mandates they disclose.

“Influence” means disclosed interest representation only. The graph does not measure effect, access or political success.

Lobbying expenditure is the organisation-wide range in the register entry. It is not AI-specific and is never summed as an AI money flow.

OrganisationAI connectionProjectsStatementsMandatesTotal lobbying expenditureRegister update
Bitkom e.V.R000672 · Berlin
Artificial IntelligenceComputer VisionGenerative KI+4
1340€5,150,001.00 to €5,160,000.0022 Jun 2026
eco - Verband der Internetwirtschaft e.V.R002737 · Köln
Artificial IntelligenceKünstliche IntelligenzSprachmodell / LLM
2270€790,001.00 to €800,000.0029 Jun 2026
Bundesverband der Deutschen Industrie e.V.R000534 · Berlin
Artificial IntelligenceGenerative KIKünstliche Intelligenz+1
4220€9,550,001.00 to €9,560,000.0019 Jun 2026
Microsoft Deutschland GmbHR002153 · München
Artificial IntelligenceChatGPT / GPTGenerative KI+2
2170€1,660,001.00 to €1,670,000.0002 Jul 2026
Bundesverband deutscher Banken e.V.R001458 · Berlin
Artificial IntelligenceDeep LearningGenerative KI+4
4130€5,190,001.00 to €5,200,000.0003 Jul 2026
Bundesverband der Pharmazeutischen Industrie e.V.R001463 · Berlin
Künstliche Intelligenz
0160€1,800,001.00 to €1,810,000.0030 Jun 2026
Verbraucherzentrale Bundesverband e.V.R001211 · Berlin
Artificial IntelligenceChatGPT / GPTKünstliche Intelligenz
0160€12,430,001.00 to €12,440,000.0024 Jun 2026
Google Germany GmbHR001794 · Hamburg
Artificial IntelligenceGenerative KIKünstliche Intelligenz+1
1140€1,290,001.00 to €1,300,000.0030 Jun 2026
Bundesverband Öffentlicher Banken Deutschlands e.V.R001169 · Berlin
Generative KIKünstliche IntelligenzMachine Learning
3120€2,330,001.00 to €2,340,000.0002 Jul 2026
Deutscher Sparkassen- und Giroverband e.V.R002090 · Berlin
Artificial IntelligenceDeep LearningGenerative KI+3
4100€2,890,001.00 to €2,900,000.0006 Jul 2026
Bundesverband der Deutschen Volksbanken und Raiffeisenbanken e.V. (BVR)R001693 · Berlin
Artificial IntelligenceDeep LearningKünstliche Intelligenz+2
490€2,720,001.00 to €2,730,000.0009 Jul 2026
Bayerische Motoren Werke AktiengesellschaftR002370 · München
Artificial IntelligenceKünstliche Intelligenz
220€1,450,001.00 to €1,460,000.0022 Apr 2026
Showing 12 of 314
Methodology & limits

What an edge actually proves

Every relationship carries its source, observation time and linking basis. An edge never claims more than its underlying record supports.

  1. 1
    Archive official sources

    The collector checks the Lobby Register and DIP daily and checks the monthly CORDIS archives for changes every day. Raw and normalised snapshots stay private and versioned.

  2. 2
    Classify AI relevance by rules

    Term patterns classify Lobby Register and DIP data. CORDIS uses only the EuroSciVoc AI subtree /23/47/297.

  3. 3
    Keep money types separate

    Exact grant allocations, allowance ranges, mandate ranges and organisation-wide lobbying expenditure are never blended into a synthetic total.

  4. 4
    Link only strong identities

    Across sources, only the same official hostname or an exactly normalised organisation name is linked automatically. Similar names stay out.

The collector does not invoke a generative AI model.

Sources & data dates

Frequently asked questions

Does the graph show who actually influences AI policy?
No. “Influence” refers to disclosed interest representation and evidenced relationships. Effect, access, decision weight and political success cannot be inferred from it.
Is lobbying expenditure AI expenditure?
No. The range covers the organisation’s total lobbying expenditure for the disclosed financial year. It appears only as context and is never summed as AI spending.
Have the CORDIS amounts already been paid?
Not necessarily. The graph shows the net EU contribution allocated to a German participant under a grant agreement, not a payment flow.
How is AI relevance identified?
Lobby Register and DIP records are checked with transparent term patterns. CORDIS uses the EuroSciVoc AI subtree /23/47/297. The full derivation is rule-based and invokes no generative model.
Why are some cross-source links missing?
Only strong identity evidence such as the same official hostname or an exact normalised name is linked automatically. Uncertain similarities stay outside the public graph.
Why is there no total for public AI money?
CORDIS allocations are exact grant-agreement amounts, while Lobby Register allowances are ranges with a different scope. Neither source is a complete account of German public AI expenditure.

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