This is an AAO appeal decision — a case denied once and appealed. It shows how the framework is applied; it is not the filing population.
The Beneficiary, a machine learning engineer, proposed to further the development of efficient and scalable deep learning and natural language processing (NLP) models, including building optimized model-serving infrastructure and low-cost embedding services for AI-driven products.
Field: machine learning / deep learning / natural language processing engineering · Read the decision (uscis.gov)
EB-2 threshold — addressed
SCOPS found and AAO agreed that the Beneficiary qualifies as a member of the professions holding an advanced degree (Master of Computer Science). Threshold EB-2 was not at issue on appeal.
Prong 1 — national importancenot established · dispositive
“the determination of national importance does not focus on the importance of one's field or industry in general, but 'focuses on the specific endeavor that the foreign national proposes to undertake.'”
“the record does not include evidence to corroborate F-C-'s claims that the Beneficiary's specific deep learning and NLP models stand to make 'AI more sustainable' nationally”
“Unsupported assertions and speculation have no evidentiary value and are insufficient to establish a filing party has satisfied their burden of proof.”
“the Petitioner has not presented evidence showing that the Beneficiary's specific deep learning and NLP projects stand to 'reduce energy consumption' on a significant scale”
“Benefits to a specific employer alone, even an employer with a national footprint, are not sufficiently relevant to the question of whether a beneficiary's endeavor has national importance.”
“the Petitioner has not shown that the Beneficiary's specific proposed endeavor stands to sufficiently extend beyond his company and its projects to impact his field”
“The letters from F-C-, J-E-K-, E-G-, J-K-, W-L-, and J-B- do not contain sufficient information and explanation, nor does the record include adequate corroborating evidence”
AAO decision text
How the evidence was treated
- recommendation letter · discounted
“do not contain sufficient information and explanation, nor does the record include adequate corroborating evidence, to show that the Beneficiary's specific proposed work offers broader implications”
AAO decision text - other · discounted
“none of the articles mention the Beneficiary or his planned projects, or otherwise speak to the potential prospective impact of his specific proposed endeavor”
AAO decision text - other · credited
- resume experience · discounted
“The Beneficiary's education, skills, knowledge, and prior work in his field relate to the second prong of the Dhanasar framework, which 'shifts the focus from the proposed endeavor to the foreign national.'”
AAO decision text
Where this case turned
- Economic claims unsupported · p1 — job/revenue projections with no corroborating basis
- Employer-specific benefit · p1 — "work furthers my company's product" — value accrues to one firm
- Field importance conflated with endeavor · p1 — argues the field matters, not the specific endeavor
- Letters conclusory · p1 — letters praise skills in general terms without tracing specific impact
Notable
The AAO conceded substantial merit (AI/ML work in a STEM field on the Critical and Emerging Technologies List) but found national importance lacking because all evidence pointed to employer-specific benefits rather than broader field or societal impact. The decision explicitly footnotes that benefits to a specific employer, even one with a national footprint, are insufficient for national importance. Prongs 2 and 3 were expressly reserved under Bagamasbad. The service center is identified as SCOPS (Service Center Operations) rather than a named geographic service center.
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