GSA to Overhaul AI Procurement with New Fixed-Price Contract Rule

WASHINGTON — The General Services Administration is preparing to release a new, AI-specific acquisition rule that will establish a preference for fixed-price contracts when federal agencies procure artificial intelligence technologies. The updated regulation, expected within the next few weeks, aims to make the federal government a more predictable business partner for technology vendors, according to information from the agency. This shift toward fixed-price models for a technology as dynamic and developmental as AI introduces significant financial risk for vendors. In our experience, many innovative small and mid-sized companies, which are often at the forefront of AI development, lack the sophisticated financial modeling required to price these complex, long-term projects accurately. This could potentially lead to them accepting unprofitable contracts or being too risk-averse to bid at all, stifling competition. The GSA serves as the federal government's primary procurement arm, managing federal property and contracting for goods and services. Its regulations and contract vehicles, such as the GSA Schedules program, are the gateway for thousands of companies seeking to do business with federal agencies. Any change to its acquisition rules has far-reaching consequences, particularly for the small and mid-sized businesses that make up a significant portion of federal contractors. Currently, federal acquisitions are governed by the Federal Acquisition Regulation (FAR), a dense and complex set of rules. Procuring emerging technologies like AI under the existing framework has proven challenging. Unlike traditional software or hardware with clearly defined specifications, AI systems are often iterative, require vast amounts of training data, and their performance can evolve over time. This ambiguity makes it difficult to define deliverables and costs upfront, a prerequisite for many standard government contracts. The impending rule seeks to address this by creating a specific lane for AI procurement. By favoring a fixed-price model, the GSA intends to bring budgetary certainty to federal agencies. Under such a contract, a vendor agrees to deliver a product or service for a single, predetermined price. This shields the government from cost overruns and simplifies contract administration. However, it transfers the entirety of the financial risk for unforeseen challenges, development hurdles, or scope creep to the contractor. For companies specializing in AI, this risk is substantial. An AI project’s success can depend on the quality of government-provided data, the emergence of new algorithms during the development cycle, or the need for significantly more computational resources than initially projected. In a cost-plus or time-and-materials contract, these additional expenses would be billable to the government. Under a fixed-price model, the vendor must absorb them, potentially turning a promising project into a financial loss. This new GSA rule underscores the necessity for robust financial planning and risk management. Companies looking to enter or expand within the federal marketplace for AI will need more than just a great product; they will need a CFO-level understanding of project costing, contingency planning, and contract negotiation. This is precisely the kind of challenge where outsourced CFO services become critical for businesses that lack a full-time, senior financial executive. For businesses navigating these complex bidding environments, having expert guidance can be the difference between a profitable government partnership and a costly mistake. For assistance with this type of strategic financial planning, contact C&S Finance Group LLC at csfinancegroup.com. The move is part of a broader push by the federal government to accelerate AI adoption while managing its risks, aligning with directives from the White House Office of Management and Budget. By standardizing the procurement process, the GSA hopes to lower barriers for some vendors and make it easier for agencies to acquire cutting-edge technology. The focus on original equipment manufacturers (OEMs) suggests the rule will target the core developers of AI models and systems, rather than just resellers. However, the success of this initiative will depend heavily on the details. If the fixed-price requirements are too rigid, they may discourage smaller, more innovative firms from participating in the federal market, leaving it to larger, more established defense and IT contractors who are better capitalized to absorb potential losses. This could inadvertently run counter to the government's goal of fostering a diverse and competitive technology vendor base. The final text of the rule, which is anticipated shortly, will be scrutinized by industry groups and government contractors. Key elements to watch will be the specific definitions of AI technology, any flexibility or exceptions to the fixed-price preference, and the guidance provided to both contracting officers and vendors for scoping and pricing these complex projects. The first contracts awarded under the new rule will serve as a critical test of its effectiveness.