DoD AI prime obligations top $4B — FY2022–FY2024 OMB 2025 AI inventory: 3,611 use cases across federal government NITRD FY2025 AI R&D request: $3.316B CDAO awards $200M ceiling contracts to Anthropic · Google · OpenAI · xAI Federal agencies double AI adoption YoY — GAO April 2026 Bloomberg Gov: unclassified federal AI procurement tops $2.2B in FY2025 Defense accounts for 72% of all federal AI contract obligations DoD AI prime obligations top $4B — FY2022–FY2024 OMB 2025 AI inventory: 3,611 use cases across federal government NITRD FY2025 AI R&D request: $3.316B CDAO awards $200M ceiling contracts to Anthropic · Google · OpenAI · xAI Federal agencies double AI adoption YoY — GAO April 2026 Bloomberg Gov: unclassified federal AI procurement tops $2.2B in FY2025 Defense accounts for 72% of all federal AI contract obligations
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Inaugural Analysis — Spring 2026
Vol. I  ·  No. 1  ·  April 2026

The Federal AI
Market Map

Who Is Actually Winning Government AI Contracts
and What They're Actually Delivering

PR
Read the Analysis
$3.3B
FY2025 Federal AI R&D Request
~$2.8B
Confirmed Obligations Est. FY2025
3,611
OMB AI Use Cases · 2025
72%
Defense Share of AI Contracts

Latest Research

Vol. I · No. 1 · April 2026

What's Inside

8 Sections · ~6,000 words
I — The Lede
The Pipes Are Winning
Why Palantir's $11.3B matters more than $800M in CDAO ceiling contracts — and why the market has been confusing the two for two years.
II — The Data Problem
Why Every Number Is Wrong
Four incompatible datasets, none of which measure the same thing. The classification framework that fixes the overcounting problem most publishers ignore.
III — The Vendor Map
Who Is Actually Winning
Estimated FY2025 AI-attributable obligations by vendor. Primes, model providers, cloud infrastructure — confidence-rated throughout.
IV — The Agency Map
Serious Buyers vs. Box-Checkers
3,611 OMB use cases crossed against visible contract spend. The agencies that mean it, the agencies that don't, and the BD implications.
V — DoD vs. Civilian
Why Defense Runs 72%
Four structural forces that explain defense dominance — and the FedRAMP 20x inflection that shifts the balance in FY2026.
VI — Contract Vehicles
How Money Actually Moves
OTA vs. MAS vs. IDIQ vs. DIU. The vehicle tells you the buyer's intent before you read a dollar figure.
VII — The CO Lens
From the Other Side of the Table
Three questions most AI vendors cannot answer in a source selection. Why most federal AI pilots never become programs of record. First person — the section no one else can write.
VIII — What's Next
Pipeline Signals for FY2026
The recompete wave, FedRAMP 20x, CDAO's conversion decision, and the classified segment floor that all public analysis misses.
How We Work
A Classification Engine
Built on CO Judgment

The biggest mistake in federal AI market analysis is overstating the number. Raw keyword searches catch IT contracts, cloud deals, and analytics work that have nothing to do with AI. We apply a four-tier confidence framework — developed by a former Contracting Officer — to every award we track. So the numbers we publish actually mean something.

Confirmed AI

Explicit References

Award title or description explicitly references AI, ML, LLM, computer vision, NLP, or generative AI. Count at face value.

Likely AI

Strong Indication

Vendor or product strongly implies AI but award description is vague or deliberately broad. Flag and investigate.

AI-Adjacent

Supporting Infrastructure

Cloud, data, analytics, or automation that may support AI. Never inflated into the AI total — a discipline most publishers skip.

Exclude

False Positives

Generic IT contracts keyword searches incorrectly surface. We remove these. Most market reports don't. That's why their numbers are wrong.

The Case for GovAI Analysis

01 — The Problem

Federal AI spending is intentionally hard to find

AI contracts are buried inside cloud awards, IT modernization vehicles, defense programs, and classified budgets. A keyword search on USAspending returns thousands of false positives. The official figures capture R&D only — not procurement, not operational deployment, not subcontract spend.

02 — The Insight

Classification requires judgment, not just data

Anyone can download a CSV. The hard part is knowing whether a $47M "IT Modernization" award to a major prime is actually an AI contract — and why the CO structured it that way. That judgment comes from being on the other side of the table.

03 — The Edge

Written by the person who signed the contracts

GovAI Analysis is the only federal AI intelligence publication edited by a former Contracting Officer with FAC-C Level III credentials and experience at GSA, IRS, DoD, and DOI. We don't guess at procurement intent. We know exactly how these decisions get made.

About the Editor

PR
Pedro Rubio
Founder & Editor
Former CO FAC-C Level III GSA IRS DoD DOI Washington, D.C. Blackfyre Intelligence
A Note From the Editor
"I spent years on the other side of this market — signing the contracts that companies like Booz Allen and Palantir were trying to win. I know what a real AI contract looks like, and I know what a cloud deal with 'AI' stapled to the description looks like. Nobody else in this space can say that."

GovAI Analysis exists because the federal AI market is real, large, and almost completely opaque — and the existing coverage is too shallow, too vendor-biased, or produced by people who have never read a FAR clause. This publication applies the analytical discipline of a Contracting Officer to a market that desperately needs it.

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