The R&D tax credit in 2026 is no longer just a tax incentive for innovative American companies. It is also a documentation test.
Companies are increasingly using artificial intelligence (AI) to organize technical records, identify potentially qualified research activities, and streamline credit studies. At the same time, the Internal Revenue Service (IRS) has been using AI and data analytics in its operations, including audit selection, and has stated it intends to continue expanding its use of AI.
The result is a new compliance reality: R&D claims must be supported by clear, contemporaneous evidence that connects the claimed expenses to actual qualified research activity.
The IRS has signaled a broader move toward enhanced data use, analytics, and more focused compliance work. For R&D claims, that means taxpayers should expect more attention to whether the numbers and narratives align. Claims supported by broad wage estimates, inconsistent project allocations, or generic descriptions may be harder to defend.
The revised Form 6765 increases the importance of business component-level support. For tax years beginning before 2026, Section G is optional for all filers. For tax years beginning after 2025, Section G generally is required, subject to the form instructions and applicable exceptions. That change makes project-level documentation more important, especially for companies claiming software, engineering, or AI-related research.
Strong R&D support increasingly comes from the systems where technical work actually happens. Useful records may include GitHub or Development & Operations (DevOps) activity, Jira tickets, engineering test results, technical meeting notes, architecture diagrams, cloud development logs, and version histories.
Those records help show what the team was trying to solve, which alternatives it evaluated, and which employees were involved in the qualified research activities.
Common R&D Tax Credit Risks
Boilerplate descriptions can weaken an R&D claim because they do not show the technical uncertainty, the alternatives evaluated, or the experimentation performed. A stronger narrative explains the technical challenge, the development approach, the failed or rejected alternatives, and the evidence supporting employee involvement.
Misclassifying Routine Work
AI tools can organize project data, but they cannot reliably decide whether work qualifies under Section 41. Routine maintenance, ordinary bug fixes, standard implementation, and adaptation of existing software generally present qualification risk unless they are directly tied to resolving technical uncertainty through a process of experimentation.
Reconstructed Documentation
R&D claims are more defensible when the records were created during the project, not after the fact. IRS guidance on substantiation and recordkeeping emphasizes that taxpayers must retain records in sufficient detail to support claimed research expenses. Contemporaneous evidence, such as timestamps, version-control history, test logs, sprint notes, and technical communications, can help substantiate what activities happened and when.
The strongest R&D credit strategies combine an AI-assisted organization with experienced human oversight.
AI can help sort large volumes of engineering and financial data, identify potentially relevant records, and prepare teams for a more efficient review. But technical experts and tax professionals remain essential for interpreting Section 41, validating qualified activities, reviewing documentation quality, and confirming that the claim reflects real engineering or scientific work.
A defensible claim should connect three things:
The Takeaway for R&D Teams
The future of the R&D tax credit is not only about identifying innovation. It is about proving it.
Defensible claims depend on whether the company can show what technical problem the team faced, how the team evaluated alternatives, and which qualified costs were tied to that work. If the documentation does not reflect actual engineering activity, technical trade-offs, testing, or iteration, the claim may be difficult to defend.
Connect, Learn, and Maximize R&D Tax Credits
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Edited by Laura Whittenburg, MSBME, Sr. Technical Writer
Photo: "photos globe" by Sean MacEntee is licensed under CC BY 2.0.