How this site works

The Project

Why Nexus Sunset exists

Nexus Sunset exists because information should be accessible to everyone, not just those who have time to dig through earnings reports, Senate hearings, and academic papers. AI is reshaping every industry, and the decisions being made right now about how it moves forward will affect all of us. Staying informed isn't optional.

This site doesn't tell you what to think. It gives you what you need to think for yourself, sourced data, clear methodology, and disclosed assumptions. That distinction matters here.

Nexus Sunset is also a living portfolio, demonstrating SQL, data sourcing, cross-referencing, and the ability to turn messy public data into a coherent argument, as I grow my skills as a data analyst.

About the Author

The through-line

My career doesn't follow a straight path, but it follows a consistent principle: helping people make informed decisions. Not directing them. Making sure the information is there, accurate, and understandable enough to act on.

I graduated with a BA in Film and Media, completed an internship at a news station, and began my professional life at a retail chain before moving into market research. Over several years there, I held roles across the full operation: QA assistant, supervisor, client service manager, lead qualitative assistant, and facility manager, while also completing an automotive certificate along the way.

After COVID disrupted that chapter, I eventually landed at a SaaS company, where I moved from client support specialist to learning specialist to knowledge manager and product documentation specialist. That work put a name to something I'd always been doing: building the systems that let people understand complex things on their own terms.

Along the way I became familiar with the major adult learning frameworks: ADDIE, Andragogy, Transformational Learning, Gagné's Conditions of Learning, Bloom's Taxonomy, and the ARCS Model of Motivation. The one I keep coming back to is Experiential Learning (Kolb): the idea that real understanding comes from doing, not just receiving information.

That's part of why AI as a labor replacement concerns me. When a tool does the work for you before you've learned the skill, the skill doesn't develop. That's not progress, it's a shortcut that compounds over time, and workers pay the cost.

Nexus Sunset cross-references public data sources: SEC filings, OpenSecrets, Bureau of Labor Statistics, and news archives to build a picture that no single source provides on its own. Where data is incomplete or estimated, that's stated clearly. The goal is accuracy over narrative convenience.

Each piece of the report distinguishes between what is documented fact, what is reasonable inference, and what is assumption. That structure comes directly from the site's Principles: Fact, Proven, Logic, Assumptions, Reasoning.

Primary Sources

• SEC EDGAR Executive compensation filings & proxy statements
• OpenSecrets Political donation records & PAC contributions
• BLS Employment trends & industry workforce data
• Layoffs.fyi Layoff event tracking with company statements
• Crossref / ArXiv Peer-reviewed research on AI and labor economics
• Forbes / Bloomberg Executive net worth estimates (directional)