WeGreened Weekly Approval Summary: Week of October 5 to October 11, 2026

During the week of October 5 to October 11, 2026, WeGreened received 141 approval notices from U.S. Citizenship and Immigration Services (USCIS). Of these approvals, 129 were for NIW (National Interest Waiver), 8 were for EB1A (Alien of Extraordinary Ability), 2 were for EB1B (Outstanding Professors or Researchers), and 2 were for O1A (Individuals with Extraordinary Ability or Achievement).

NIW again represented the majority of approvals. The smaller EB1A group was notable for its concentration in industry-facing and applied technical roles rather than conventional faculty or postdoctoral positions.

EB1A and NIW Credential Analysis

Among the seven EB1A approvals with numeric publication and citation records, publications ranged from 10 to 44 (Q1: 14.5, median: 33, Q3: 40.5), while citations ranged from 352 to 11,773 (Q1: 538, median: 1,686, Q3: 5,389.5). One chemical engineering profile accounted for both upper extremes. The eighth EB1A approval, highlighted below, did not rely on scholarly publications or citations, showing why academic metrics alone cannot fully describe an industry-based extraordinary-ability record.

NIW publications ranged from 2 to 201 (Q1: 6, median: 11, Q3: 21), while citations ranged from 8 to 3,124 (Q1: 55, median: 132, Q3: 356). The middle half of approved petitioners therefore had 6 to 21 publications and 55 to 356 citations. A small number of highly established profiles drove the upper end, while the central distribution remained considerably more moderate.

Insights on Petitioner Backgrounds and Fields

The EB1A group included seven Ph.D. holders and one master’s-level petitioner, with seven STEM approvals and one non-STEM approval. Six of the eight petitioners worked in applied technical or analytical roles, including software engineering, quantitative research, project management, evaluation, and industry research operations. This week’s group therefore looked less like a conventional academic cohort and more like a collection of professionals whose recognition had to be demonstrated through the forms of impact most relevant to their respective fields.

NIW approvals covered a much broader range of career stages. The group included 73 Ph.D. holders, 40 master’s-level petitioners, 13 applicants with medical or dental qualifications, and 3 without advanced degrees. Postdoctoral researchers formed the largest employment group with 35 approvals, followed by 28 students or graduate trainees and 25 research staff members. Engineering, biomedical and clinical work, and computing or AI each formed substantial field clusters, but their career compositions differed. Engineering included a large student and applied-professional share, biomedical cases included postdoctoral and clinical profiles, and computing included both research staff and industry-facing technical professionals.

Highlighted EB1A Case: Industry AI Leader Approved After RFE Without Relying on Publications or Citations

One of this week’s most instructive EB1A approvals involved a senior industry professional in applied artificial intelligence. The petitioner held a master’s degree and worked in a senior technical leadership position, but the case did not rely on a scholarly publication or citation record. Instead, the original petition presented evidence of original contributions, published material, judging the work of others, a leading or critical role, and high remuneration. The petition was initially filed under regular processing and later upgraded to premium processing.

USCIS accepted the judging and leading-or-critical-role criteria but issued a Request for Evidence questioning whether the petitioner’s technical contributions had major significance beyond the immediate employer and its customers. The notice also sought stronger evidence for the published-material and high-remuneration criteria and required the complete record to satisfy the Final Merits Determination. Our response preserved the favorable findings and focused on the specific issues that remained disputed.

For original contributions, the central task was to translate large-scale product impact into evidence of influence across the field. We documented how independent medical and scientific researchers incorporated the petitioner’s source-grounded AI systems into their own methodologies, how competing technology platforms and open-source developers built structurally similar systems, and how government agencies and universities adopted the underlying approach for consequential work. This evidence showed that the contribution had crossed the boundary from internal product engineering to independent scientific, institutional, and industry use.

The response also strengthened the expert-letter strategy. The original filing included four recommendation letters, two of which were independent, together with three testimonial letters describing the petitioner’s technical leadership and impact. The RFE response added three independent opinions from experts who had observed external use of the same technology, including a researcher whose team incorporated it into scientific methodology, a university leader who observed institution-wide adoption, and the creator of a competing open-source system. These opinions were paired with the underlying research records, institutional documentation, and product-attribution evidence rather than presented as unsupported praise.

For published material, we documented direct attribution of the petitioner’s work in major technology media and supplied third-party information concerning readership and audience. For high remuneration, we replaced a broad occupational comparison with position-appropriate, geographic, and national evidence. The response compared the petitioner’s base salary with government wage data and compared actual annual earnings with exact-title compensation data. This directly addressed the concerns identified in the RFE rather than relying on a generalized software-engineering benchmark.

Finally, the response brought the accepted judging and critical-role criteria together with the strengthened evidence of original contributions, media recognition, and high remuneration under the Final Merits Determination. The petition was ultimately approved after the RFE response. This result illustrates how an industry EB1A case can succeed without traditional academic metrics when practical innovation is translated into objective evidence of independent adoption, institutional reliance, professional recognition, and sustained field-level influence.

Adjudication Trends and Policy Observations

On October 8, 2026, Department of Labor officials publicly announced a targeted suspension affecting new and pending PERM labor-certification applications involving eight named technology and IT-services employers. The development highlights a structural difference between employer-sponsored green-card cases and the National Interest Waiver. Most employer-sponsored EB2 and EB3 cases require the employer to complete the Department of Labor certification process before filing the immigrant petition. By contrast, an NIW may waive the job-offer and labor-certification requirements when the applicant first establishes the underlying EB2 qualification and then satisfies the national-interest framework.

For professionals affected by an employer-specific PERM disruption, NIW may therefore offer a separate route to evaluate, but it is not an automatic substitute. The applicant must independently demonstrate eligibility based on education or exceptional ability, a nationally important professional direction, credible positioning to advance that work, and the overall benefit of waiving the traditional requirements. This week’s 129 NIW approvals reflect the breadth of backgrounds that can be considered under that framework, while also reinforcing that the analysis must remain individualized.