🔍 Read the full analysis: Reading AI’s Scorecards: Measures And Missing Pieces on ThorstenMeyerAI.com
Get the latest gadgets delivered free with Prime
- Fast, free delivery on millions of items
- Prime Video, Amazon Music and more included
- Member-only deals all year
TL;DR
Thorsten Meyer’s November 11, 2026, article revisits the origins and limits of GDP, from Simon Kuznets’ Depression-era estimates to modern measures of unpaid work and digital services. The piece argues that GDP tracks market production, not overall welfare, and points to AI as another area where consumer value may exceed recorded revenue.
The article recounts how the US Senate asked the Commerce Department for national-income estimates during the Great Depression. A report supervised by economist Simon Kuznets was submitted on January 4, 1934. It estimated that income produced fell from $83 billion in 1929 to $39.4 billion in 1932, a decline of 53%. Income paid to individuals fell 40%, from $81.1 billion to $48.9 billion.
Meyer stresses that Kuznets warned against treating those figures as a direct measure of social welfare. The accounts primarily covered activity with results appearing in the market, leaving out unpaid work and failing to show how income was distributed or how difficult it was to earn. GDP later became the standard headline measure of domestic production; it sums consumption, investment, government spending and net exports. The article reports US GDP at $30.86 trillion in 2025, citing the Bureau of Economic Analysis.
The piece then turns to activity that is difficult to price. It cites a German estimate that unpaid household work in 2013 would have been worth €987 billion if valued like paid work, equivalent to 39% of the value added counted in GDP. It also describes a 2017 study in which the median participant would have required $17,530 to give up search engines for a year. For AI, Meyer cites a Stanford working paper estimating $172 billion a year in US consumer value from chatbots, while noting that this is not the same as revenue earned by providers.
Infographic 01 · The sector clock, by output
China: how GDP changed shape
Share of GDP (value added at current prices) by sector, 1978 to 2025. In 2023 farming still held 22.8% of all jobs but produced 7.1% of GDP.
- Farming27.7%
- Industry47.7%
- Services24.6%
Reform starts
- Farming14.7%
- Industry45.5%
- Services39.8%
- Farming9.1%
- Industry45.4%
- Services45.5%
Services overtake industry
- Farming6.7%
- Industry35.6%
- Services57.7%
Communiqué 2025
Measured by output, not by jobs: the sector clocks of earlier episodes count workers. Jobs vs. output for farming, 2023: 22.8% of employment (year-end) vs. 7.1% of GDP.
Sources: NBS China, China Statistical Yearbook 2024, tables 3-2 and 4-2; NBS, Statistical Communiqué 2025 (28 Feb 2026).
Powered by Thorsten Meyer AI
What GDP Leaves Outside the Accounts
GDP remains a widely used measure of economic production, but the article’s examples show why it cannot answer every question about prosperity. Unpaid care and household labor can support families and the wider economy without being recorded as market output. Free online services can also provide substantial benefit to users without a matching payment or sale.
That distinction matters when governments and readers interpret economic growth. A change in GDP describes a change in measured production, not necessarily a comparable change in wellbeing, leisure, access to services or the distribution of income. The article’s AI example adds a current challenge: consumer value and commercial revenue are different measures, and neither alone captures the full economic effect of a technology.
Products Worth Considering
Apple AirPods Pro 3 Wireless Earbuds with Active Noise Cancellation
LG UltraGear 27-inch QHD OLED Gaming Monitor, 240Hz
Samsung Galaxy Tab S7 11-inch Android Tablet 128GB Wi‑Fi with S Pen Mystic Black
As an affiliate, we earn on qualifying purchases.
From Depression Estimates to GDP
The article places the 1934 report at the start of a longer development in national accounting. According to the Bureau of Economic Analysis’ history, the United States added gross national product estimates during the 1940s to support wartime production planning. The first international System of National Accounts appeared in 1953 under the UN Statistical Commission. In 1991, the United States adopted GDP as its headline measure in place of GNP, in line with the international standard.
Meyer also uses China’s changing output mix to illustrate what GDP can show. In the figures cited, services rose from 24.6% of value added in 1978 to 57.7% in 2025, while farming’s share fell from 27.7% to 6.7%. The article contrasts output shares with employment: at the end of 2023, farming accounted for 22.8% of China’s workers but 7.1% of GDP. Those figures describe different things—production and employment—and should not be read as interchangeable measures.
“The estimates “cover primarily only efforts whose results appear on the market place of our economy.””
— Simon Kuznets, in the 1934 report, as quoted by Meyer
Limits of the Cited Estimates
The figures in the article come from sources and methods that are not fully detailed in the supplied material. The $172 billion AI estimate is described as coming from a Stanford working paper; the article does not provide its assumptions, study design or publication status beyond that description. It also does not give a directly comparable revenue figure, so the size of any gap between consumer value and company income cannot be calculated from the information supplied.
The valuation of unpaid household work depends on how tasks are defined and priced. Treating those services as though they were paid at a wage can make their scale easier to compare, but it does not mean that amount was earned or would be added to GDP under current rules. The source text ends partway through its discussion of German time-use data, so further details and qualifications are unavailable here.
Questions for Economic Scorecards
The immediate next step is not a change to GDP itself: the article makes a case for reading the measure alongside other indicators rather than treating it as a complete account of national welfare. Readers should look for the methods behind estimates of unpaid work and consumer benefit, including the time period, population covered and valuation approach.
For the AI estimate, further detail on the Stanford working paper and its assumptions would help establish how its consumer-value figure was calculated and how it relates to observed use and provider revenue. Meyer frames productivity as the next topic in the series, using the difference between workers’ share and output share in Chinese farming as a prompt. No date or additional details for that installment are provided.
Key Questions
What is the main point of the article?
Meyer argues that GDP measures market production, not total welfare. Unpaid household work and benefits from free digital services can be important while remaining only partly visible in the headline measure.
How did the 1934 report measure the Depression?
The report supervised by Simon Kuznets estimated that US income produced fell 53% between 1929 and 1932, from $83 billion to $39.4 billion. It also reported a 40% decline in income paid to individuals over those years.
Does the unpaid-work estimate mean it is included in GDP?
No. The article says Germany’s unpaid household work in 2013 was valued at €987 billion using a wage-based approach. That estimate is a comparison, not an amount recorded as GDP under the standard measure.
What does the AI chatbot estimate represent?
The article cites a Stanford working paper estimating $172 billion a year in value to US consumers from AI chatbots. That figure is presented as consumer value, not company revenue; the supplied material does not include the study’s detailed methods.
Source: ThorstenMeyerAI.com
