Sample

A sample of 1.1M+ current and former white-collar employees and 600K+ arrivals and departures at Nvidia, the rest of the Magnificent 7, and 35 top companies across the semiconductor and chip industry.

Methodology for analysis

From our sample of 1.1M+ current and former white-collar employees at Nvidia, the rest of the Magnificent 7 companies, and 35 top companies in the semiconductor and chips industry we looked at the arrivals and departures from each of these companies from Jan 2020 through Jan 2024.

To compare Nvidia’s headcount growth to the rest of the Magnificent 7, we looked at the combined arrivals and departures at Alphabet, Amazon, Apple, Tesla, Meta, and Microsoft.

To look at the employee flow between top semiconductor and chip companies, we looked to see which employees left one company on our list and then joined another, different company on that list.

For the sample of 1.1M+ employees, it is worth noting that Live Data Technologies is primarily focused on monitoring employment status and job change events for white-collar employees in North America.

Notes on the source data from Live Data Technologies

Live Data Technologies's standard process (our patented IP) is generally referred to as SERP analysis. We query the major search engines (Baidu, Yandex, Bing, Google, etc.) for information on people and their employment. A shorthand way of thinking of this is that we are prompt engineering the search engines.

All of our data is sourced through these sources and is publicly available. We assess ALL the info that comes back from each query to the search engines. We use a proprietary process to monitor the current company and title for 88M+ people on at least a twice-monthly basis, and as such pick up a lot of job changes monthly. This means we have a) the most recent employment data for the white-collar workforce and b) a continuous stream of job change events. This allows us to report on movement at the person, title, function, job level, company, and industry levels.