⏱️ Lectura: 9 min
The National Science Foundation‘s budget for fiscal year 2026 drops 56%, from $9.06 billion to about $3.9 billion, according to the Executive Branch’s proposal confirmed by internal agency sources. It’s the deepest cut in NSF history, the agency that funds close to 25% of non-medical basic research at U.S. universities.
📑 En este artículo
The freed-up money doesn’t disappear: it’s being redirected to a federal plan for artificial intelligence applied to science. For a researcher or a university lab that depends on an NSF grant, the change isn’t abstract: it means fewer doctoral fellowships, less computing power for basic science projects, and an explicit bet on AI over other disciplines.
TL;DR
- NSF proposes a 56% cut to its 2026 budget, from $9.06 billion to about $3.9 billion.
- Since April 2025, NSF has terminated thousands of active basic research grants at U.S. universities.
- The agency is redirecting funds toward artificial intelligence, quantum computing, and biotechnology as priority areas.
- NSF has historically funded close to 25% of non-medical basic research at U.S. universities.
- The cut proposed by the Executive Branch still depends on final approval from Congress, which has historically restored part of the budget.
- Social sciences, behavioral sciences, and STEM education programs are the areas with the largest proportional reduction.
- Researchers and scientific societies warn of a loss of young talent and a slowdown in long-term projects.
What happened with the NSF budget cut
The Executive Branch’s budget proposal for fiscal year 2026 cuts National Science Foundation funding by 56%. The agency, created in 1950 to fund basic science outside the medical field, had been operating with an annual budget close to $9 billion for several years.
According to internal agency sources cited by outlets specializing in science policy, the cut didn’t arrive all at once: since April 2025, NSF began terminating active grants before their expiration date, something unusual since many researchers had already hired staff and purchased equipment with those funds. The exact number of canceled grants varies by source, but they agree it’s in the thousands and that the amount involved exceeds $1 billion.
The NSF budget cut is part of a broader restructuring: the agency went from funding a wide portfolio of disciplines (mathematics, social sciences, biology, engineering, STEM education) to concentrating resources in a small number of priority areas defined by the White House, with artificial intelligence and quantum computing leading the list.
Context and history
NSF isn’t just any agency: for seven decades it was the main source of federal funding for non-medical basic science, from pure mathematics to ecology and social sciences. Unlike the National Institutes of Health (NIH), which fund biomedical research, NSF covers disciplines that rarely attract private investment because their results aren’t commercializable in the short term.
The pivot toward artificial intelligence didn’t come out of nowhere. In 2025 the U.S. administration published its federal AI action plan, and months later signed an executive order creating a large-scale program to apply artificial intelligence to scientific research, publicly comparing it to the Manhattan Project effort. The NSF budget cut and the reallocation of funds toward AI are the budgetary translation of that priority: less scattered basic science, more computing power and AI concentrated on specific goals.
The result is real friction between two models of how scientific knowledge is produced: NSF’s historical model, which funds exploratory projects with no guarantee of immediate results, and the new model, which prioritizes AI tools with more direct and measurable application.
How the cut breaks down by area
Not all NSF directorates lose funding equally. The reallocation clearly favors artificial intelligence and quantum computing, while social sciences, behavioral sciences, and STEM education programs bear most of the adjustment.
| Area | Priority under the new approach | Funding trend |
|---|---|---|
| Artificial intelligence and computing | Highest | Increase |
| Quantum computing | High | Increase |
| Biotechnology | High | Stable or slight increase |
| Social and behavioral sciences | Reduced | Sharp cut |
| STEM education and graduate fellowships | Reduced | Sharp cut |
| Biological and environmental sciences | Reduced | Moderate cut |
flowchart TD
A["NSF 2026 Budget"] --> B["Social sciences and STEM education"]
A --> C["Biological and environmental sciences"]
A --> D["AI and quantum computing"]
B --> E["Sharp cut in grants"]
C --> F["Moderate cut"]
D --> G["New priority programs"]What this means in practice
An ecology lab that depended on a multi-year NSF grant now competes for a smaller slice of the budget, while a group applying machine learning to genomics or climate modeling finds more open funding lines. It’s not that basic science disappears from NSF: it’s that its relative priority dropped compared to projects that incorporate AI directly.
How to verify the NSF budget cut data
NSF publishes its active and canceled grants in an open system. Anyone can check which projects from their institution or field lost funding using the public grant search API, no credentials needed:
curl "https://api.nsf.gov/services/v1/awards.json?keyword=quantum+computing&printFields=id,title,awardeeName,fundsObligatedAmt,expDate"This command returns, in JSON, grants related to quantum computing along with the amount awarded and the original expiration date. If that date has already passed but the project’s status on the researcher’s institutional website still shows as “ongoing”, that’s a sign the project was cut short.
To search by institution instead of by keyword, the same endpoint accepts the university’s name:
curl "https://api.nsf.gov/services/v1/awards.json?awardeeName=Stanford+University&printFields=id,title,fundsObligatedAmt,expDate"📌 Note: the 56% figure is from the Executive Branch’s budget proposal, not the final budget. In the United States, Congress has the final say on annual appropriations and in previous cycles restored part of the proposed cuts to NSF. The final figure may differ from the initial proposal.
Impact and analysis
The effect most cited by universities and scientific societies is the loss of a generation of researchers in training. Doctoral fellowships and postdoctoral contracts funded by NSF are usually the entry point to an academic career in basic sciences: if those funds are cut halfway through, PhD students are left without funding to finish their theses, and postdocs lose the position that sustained their research.
There’s also a brain drain effect: researchers with cut funding look for positions at universities in other countries or in private industry, where AI does attract massive investment. This isn’t new: similar episodes of abrupt cuts to scientific agencies in other countries (for example, cuts to science in the United Kingdom during the 2010s) showed a sustained outflow of young researchers toward markets with more funding stability.
⚠️ Watch out: the mid-cycle termination of active grants, not just the reduction in future budget, is what worries universities most: it breaks commitments already made to hired staff and equipment purchased against those funds.
From the AI industry’s perspective, NSF’s realignment adds one more public player to funding research in machine learning, quantum computing, and computational biotechnology, at a time when there’s already record private investment in the sector. The risk, according to critics of the cut, is that NSF ends up duplicating what the private sector already funds, while abandoning the areas where public funding is irreplaceable because they don’t generate direct commercial returns.
What’s next
The U.S. budget process doesn’t end with the Executive Branch’s proposal. Congress must approve the final appropriations for NSF, and in previous budget cycles it restored part of the proposed cuts to the agency. Universities, scientific societies, and some lawmakers are already pushing to at least partially reverse the adjustment, especially for doctoral fellowship programs.
Meanwhile, NSF continues publishing specific funding calls tied to AI and quantum computing under the umbrella of the federal AI-for-science program, so the actual distribution of funds across disciplines will become clearer as the agency opens or closes calls throughout the rest of 2026.
📖 Summary on Telegram: View summary
Try it yourself: run the curl command against the public NSF Award Search API with your university’s name or your research field to see live which grants lost funding this year.
Frequently Asked Questions
Is the NSF budget cut already final?
No. It’s the Executive Branch’s budget proposal for fiscal year 2026. Congress approves the final appropriations, and in previous cycles it restored part of the funds proposed for NSF.
What happens to grants that were already approved?
Since April 2025, NSF has terminated active grants before their original expiration date, which affected projects with staff already hired and equipment already purchased with those funds.
Which areas are getting more funding now?
Artificial intelligence, quantum computing, and biotechnology are the prioritized areas. Social sciences, behavioral sciences, and STEM education bear most of the cut.
Why is NSF different from NIH?
NIH funds biomedical research. NSF covers non-medical basic science disciplines, such as mathematics, physics, ecology, social sciences, and engineering, areas where private investment tends to be scarce.
How can I check which grants were canceled?
NSF exposes a public grant search API at api.nsf.gov where you can filter by institution, keyword, or expiration date without needing credentials.
Does this affect researchers outside the United States?
Indirectly, yes: international collaborations partly funded by NSF lose that contribution, and the reduction in postdoctoral positions in the U.S. changes the global academic job market.
References
- NSF: official National Science Foundation site, with its current budget priorities.
- Wikipedia: history, structure, and mandate of the agency.
- Research.gov: portal where researchers manage and check federal science grants.
- White House: official site where federal budget proposals are published.
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Imagen destacada: Foto de Markus Spiske en Unsplash
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