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The Latino Data Collaborative Think Tank (LDCTT) researches and highlights the vital contributions of U.S. Latinos to the U.S. economy and GDP.

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Find all of the Latino Donor Collaborative’s news stories from around the web, as well as assets for press kits.

Learn about how the Latino Donor Collaborative is working to reshape the perception of U.S. Latinos and find ways to help grow their revenue and market share.

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The LDC engages in initiatives like presentations, forums and outreach to provide decision-makers with free, vital information on the contributions of U.S. Latinos, aiding informed resource allocation.

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2025 LDC U.S. Latinos in Tech Report: AI – Fifth Annual Edition

The 2025 LDC U.S. Latinos in Tech Report: AI – Fifth Annual Edition examines how generative AI portrays U.S. Latinos and contrasts those narratives with real data on adoption, education, entrepreneurship, and workforce momentum. Produced by the Latino Donor Collaborative (LDC), this study finds that large language models often flatten Latino identity into warm cultural stereotypes while underrepresenting leadership, innovation, and STEM roles—despite Latinos’ central role in the AI future. The U.S. Latinos in Tech Report 2025 AI Edition documents higher AI usage by Latino teens in education, early adoption by scaled Latino-owned firms, and rapid growth in advanced engineering degrees—evidence of a robust talent pipeline that AI narratives frequently overlook.

Key findings: scaled Latino-owned firms already use AI at nearly double the rate of White-owned firms; Latino students lead in practical AI use for learning; and engineering degrees earned by U.S. Latinos surged across undergraduate, master’s, and doctoral levels, aligning with projected STEM demand through 2033. The report also presents new evidence that generative AI systematically misrepresents U.S. Latinos. In controlled story prompts, GPT-4 consistently framed Latino characters with warm cultural tropes and avoided positioning them as leaders, innovators, or technical experts—even when the prompts called for it.

The study generated 1,575 short stories across five prompts and seven demographic groups, then used embeddings and classifiers to quantify how distinctive each group’s portrayals were. Results show volatility and disparity: classification accuracy for “Latino/Hispanic” swung widely by prompt, and disparity metrics reached their maximum in an AI-and-media context, signaling inconsistent and less distinctive portrayals versus other groups.

Explore related context in the 2025 Official LDC U.S. Latino GDP Report and the 2024 SHPE-LDC U.S. Latinos in Engineering and Tech Report. See complementary sources at U.S. Bureau of Labor Statistics STEM projections.

Download the 2025 LDC U.S. Latinos in Tech Report: AI Edition to access full findings, methods, and recommendations.

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