In France, six generations separate a poor family from Lens or Roubaix from average income [5]. In Nordic countries, two to three are enough [1]. This gap is the product of inverted educational spending, a riddled wealth tax system, and a labor market that AI is restructuring from the bottom up.

For 2027, the choice is clear. Shift public spending massively toward early childhood and territories that close off horizons from birth. Or continue concentrating effort on those already selected by the system.

France in the Middle Ground, Neither Promised Land Nor Broken Ladder

French social mobility is poorly understood because it is poorly measured. Foundational research relies on socioprofessional categories—a readable but crude framework that masks the core of income disparities [2].

When tax data fills this gap, France appears in an intermediate position. Research by Kenedi and Sirugue covers 65,000 children born between 1972 and 1981. It shows that intergenerational income persistence there is slightly lower than in the United States, close to Italy’s, and higher than in Scandinavian countries and Australia [5]. These results were published in 2023.

An OECD analysis published in March 2026 ranks France among low-mobility countries, with 52% income stickiness between generations [17]. The OECD country average is below 40% [17]. The same analysis shows that children from modest backgrounds in France have better odds of reaching high income than in the United States and Germany [17]. Children whose parents have high incomes have lower odds of high income than in those two countries [17].

This paradox is unique to the French social model: redistribution compresses the extremes without shifting the center of gravity [2]. Income inequalities partly reproduce across generations, but parents’ income level alone does not determine that of their children [2].

Measurement by socioprofessional categories shows more gross mobility. In 2023-2024, in France excluding Mayotte, 48% of women experience upward mobility compared to their mothers [4]. For men, this figure is 39% compared to their fathers [4].

But this movement is largely mechanical. Job qualification levels rose across generations. This inflates upward mobility figures without the rising generation’s living conditions necessarily improving as much. Job-level immobility remains common, particularly for men (37%) [4].

The glass ceiling remains solid at the top. Men with a father in management are 3.1 times more likely to be managers than those whose father is an employee or skilled worker [3]. Women with a mother in management are 2.5 times more likely [3]. In 2024, 37% of sons of fathers who are unskilled or low-skilled employees or workers became skilled employees or workers. Only 13% of them became managers [4].

Geography as Destiny and Wealth Concentration as a Lock

One of the documented shifts over the past twenty years is territorial. The highest mobility levels are found in western France; the lowest in the north and south [5]. Intergenerational income elasticity ranges from 0.30 to 0.45 in Breton departments. In the Hauts-de-France, it rises from 0.42 to 0.70 [5]. These data, published by Kenedi and Sirugue in 2023, capture a gap of two-fold between Brest and Roubaix, at equal education and same generation.

Geographic mobility between childhood and adulthood is associated with higher upward mobility [5]. Individuals from the lowest-income families benefit from moving to high-income departments [5]. They reach on average the same income level as children from wealthy families who stayed put [5].

This result inverts the problem. Social mobility passes through geographic mobility. Yet that depends on human and economic capital that disadvantaged families precisely do not have.

The second lock is patrimonial. In 2024, the wealthiest 10% of households hold 48% of total wealth [8]. The bottom 10% possess no more than 6,200 euros [8].

The top 1% alone holds 15% of the total [8]. The bottom half of households has only 7% of all wealth [8]. The least wealthy 10% hold barely 0.1% of national wealth [9].

Between 2010 and 2021, the share of the wealthiest 10% in household wealth grew further [21]. It rose from 41% to 47% of the total, according to the Banque de France’s distributional accounts [21]. The weight of the 500 largest professional fortunes has nearly tripled in 20 years, according to the Observatoire des inégalités in its 2024 report [11].

Wealth concentration predicts children’s trajectories better than any other indicator [5]. Upward mobility is stronger the higher parents’ capital income, the more educated they are, or the more geographically mobile they have been [5]. Parents’ wealth opens access to expensive education, secures the risk of professional establishment, finances access to housing. Without it, each step up the ladder costs cash, and often requires debt.

School Spends More on Those Already Selected by the System

In 2022, France spends 180.1 billion euros on its education system [15]. Average spending per student reaches 7,910 euros in primary school. It rises to 12,250 euros for a student in higher education [15].

The logic is inverted. We spend less on children most likely to drop out. We spend more on students from families who have already secured the strongest trajectories.

In 2024, a primary school teacher with ten years’ experience earns a salary in France 17% lower than peers in OECD countries [16].

Results have been documented for over twenty years. PISA 2022 measures a 113-point gap between French students by social background in mathematics literacy [12]. Students’ economic, social, and cultural status widens the gap: 422 points on average for the most disadvantaged, 535 for the most advantaged [12]. It corresponds to nearly three years of learning by OECD benchmarks [12]. Within OECD countries, France remains among those where school performance is most strongly correlated with social origin [12].

This correlation worsens over schooling. In 2022, 41% of children with manager parents achieve good results in French on entering sixth grade [14]. Among children of the inactive, this figure drops to 6% [14].

Among workers’ children, it reaches 10% [14]. Conversely, 45% of children of the inactive struggle, versus 5% of children of senior managers [14]. Social inequalities have grown by the end of middle school since 2002 [14].

In 2022, children from disadvantaged families are 2.5 times less likely to obtain a higher education diploma than those from very advantaged families [13]. In certain selective programs, this ratio reaches 3 [13]. Selection happens at age 3, well before university gates.

AI Removes the Bottom Rung Before Mobility Can Replace It

The mechanism changing the game by 2030-2040 passes through AI. The current automation wave hits intermediate jobs first—precisely the entry-level jobs that have long formed the first rung of social climbing. AI automizes routine and intermediate tasks primarily, causing net job loss in well-paid and stable positions without creating equivalent immediate counterparts [19]. This dynamic benefits high salaries and capital holders first, sharpening wealth concentration and labor market polarization [19].

Short-term unemployment impact is likely. Potential job creation generated by generative AI remains poorly documented at this stage, according to the panorama produced by Unédic in 2024 [19]. The creative destruction process manifests first through destruction, which has a more tangible character than creation [19].

Economies where innovation is less present suffer greater social reproduction; Philippe Aghion and his coauthors documented this in their work on innovation and mobility [20]. Generative AI raises a timing question. Nothing says whether destruction will precede creation long enough to trap an entire generation at mid-level [20]. Too qualified for manual jobs, too unqualified for enhanced jobs.

This risk strikes entry-level positions first. For a young person from a family without economic capital or networks, this first rung is decisive. The junior accounting post, the administrative assistant, the junior lawyer: losing it closes the door without opening another immediately. Upward mobility passes through these entry positions. Their disappearance removes the springboard.

Capital income grows faster than labor income. Wealth concentrates at the top of distribution. AI accelerates this trend by substituting technological capital for intermediate labor.

School continues selecting by social origin rather than correcting it. The result is durably compressed mobility. Compensating for this chain through more monetary redistribution is insufficient. What disadvantaged families lack is not just insufficient income. They lack access to appreciating assets: real estate, stocks, qualifying education. Not just higher pay.

Shift Spending, Change the Tax Base, Measure What You Claim to Fix

The central choice for 2027 is shifting educational spending upstream. It pairs with inheritance tax reform. And with opening administrative tax data, to finally measure what you claim to fix.

On education, the 180.1 billion euros annual spending (2022 data [15]) cannot be massively increased in the current fiscal context. The issue is how to distribute this envelope. Every euro spent on a kindergarten class in a priority education network is worth more for social mobility than that same euro in preparatory classes. Forty years of comparative research establish this [1] [13].

Concretely, this requires three shifts. First, universal schooling from age 2 in disadvantaged territories. Next, revaluing primary teachers to match the OECD average—a 17% catch-up by 2024 data [16]. Finally, ending high school options that concentrate resources on the already-advantaged. This shift is a political choice, not a budgetary one: its net cost is zero.

On geography, departments in the north and Mediterranean coast show intergenerational persistence well above those in the west [5]. This variation is strongly correlated with unemployment geography [5]. Serious social mobility policy must therefore be territorial employment policy. Create, in low-mobility zones, jobs allowing real career progression. Rather than low-skill platform jobs.

On wealth, the current system contains numerous devices that sharply reduce taxation of the highest fortunes [22]. Renewable gifts abatements, life insurance schemes, Dutreil agreements: the list is long. Inheritance and gift tax reform that maintains family transmission of SMEs while reducing niches for large financial fortunes corrects the mechanism itself. Weighing more on labor income to compensate for wealth inequalities would do precisely the reverse.

On AI, public procurement can be conditioned on demonstrating skills-strengthening effects. Digital labor market regulation and continued training funding for categories directly exposed to automation constitute other available levers [19]. Initial and continuing education is the first protection against AI-driven unemployment risk [19].

Fiscal constraint weighs on this architectural choice. Reforming inheritance tax hits well-organized interests and wealth transferred via old legal devices. Shifting educational spending toward primary requires abandoning institutional rents (grandes écoles, selective programs) that rank among current system’s prime beneficiaries. These resistances are the true political cost of the choice, far more than its budgetary cost.

One premise remains entire: France lacks direct measurement of its intergenerational income mobility, owing to lack of matched administrative data between generations [6]. Opening tax data would allow building this measure, on the model of the mobility atlas developed by Raj Chetty in the United States. This is a prerequisite for any serious evaluation of policies undertaken. Without measurement, you act blind.

Sources

[1] OECD, “A Broken Social Elevator? How to Promote Social Mobility,” June 2018, https://doi.org/10.1787/9789264301085-en (accessed 09/08/2026).

[2] INSEE, “A New Measurement of Intergenerational Income Mobility in France,” INSEE Analyses no. 73, May 2022, https://www.insee.fr/fr/statistiques/6441712 (accessed 09/08/2026).

[3] INSEE, “Social Advancement Is More Frequent for Salaried Employees Than Self-Employed,” INSEE First no. 2068, July 2025, https://ses.ens-lyon.fr/actualites/rapports-etudes-et-4-pages/l2019ascension-sociale-est-plus-frequente-pour-les-salaries-que-pour-les-independants-insee-juillet-2025 (accessed 09/08/2026).

[4] INSEE, “Social Mobility,” France, Social Portrait 2024, https://www.insee.fr/fr/statistiques/8612526?sommaire=8612596 (accessed 09/08/2026).

[5] Kenedi, Gustave and Sirugue, Louis, “Intergenerational Income Mobility in France: A Comparative and Geographic Analysis,” IPP Notes no. 95, Institute for Public Policy, October 2023, https://www.ipp.eu/wp-content/uploads/2023/10/NoteIPP_mobilite_interg_revenus-3.pdf (accessed 09/08/2026).

[6] World Inequality Lab / Kenedi, Gustave and Sirugue, Louis, “Intergenerational Income Mobility in France,” World Inequality Lab Working Paper no. 2023/28, December 2023, https://wid.world/www-site/uploads/2023/12/WorldInequalityLab_WP2023_28_Intergenerational-income-mobility-in-France_Final.pdf (accessed 09/08/2026).

[7] INSEE, “Wealth Amounts Held by Households in 2024,” INSEE Focus no. 371, December 2025, https://www.insee.fr/fr/statistiques/8672665 (accessed 09/08/2026).

[8] INSEE, “Distribution of Household Wealth,” 2024 data, https://www.insee.fr/fr/statistiques/2388851 (accessed 09/08/2026).

[9] Observatoire des inégalités, “The Essentials of the Report on the Rich in France, 2024 Edition,” June 2024, https://inegalites.fr/spip.php?id_article=3500 (accessed 09/08/2026).

[10] DEPP-OECD, PISA 2022, in INSEE, “Social Inequalities in School Education,” France, Social Portrait, November 2025, https://www.insee.fr/fr/statistiques/8612522?sommaire=8612596 (accessed 09/08/2026).

[11] DEPP-IGÉSR, “Evolution of Social Inequalities in Skills Over Time and Schooling,” 2022 data, https://www.ih2ef.gouv.fr/evolution-des-inegalites-sociales-de-competences-au-fil-du-temps-et-de-la-scolarite (accessed 09/08/2026).

[12] DG Trésor, “The Performance of France’s Education System,” 2025, https://www.tresor.economie.gouv.fr/Articles/cc3c0d1f-0fb5-444d-b6f9-d2a960de60bd/files/230c933c-7654-460f-a1a6-1cdd5e9d4ae2 (accessed 09/08/2026).

[13] INSEE, “Education Spending,” France, Social Portrait, 2022 data, https://www.insee.fr/fr/statistiques/7666889?sommaire=7666953 (accessed 09/08/2026).

[14] OECD, “Education at a Glance 2024,” September 2024, https://www.oecd.org/fr/publications/2024/09/education-at-a-glance-2024_5ea68448.html (accessed 09/08/2026).

[15] Causa, O., Nguyen, M., and Tanaka, T., “Intergenerational Social Mobility Across OECD Countries: Does the Apple Fall Far from the Tree?,” OECD Economics Department Working Papers, March 2026, https://www.oecd.org/en/publications/intergenerational-social-mobility-across-oecd-countries_6d76ec2a-en.html (accessed 09/08/2026).

[16] Unédic, “Employment and Generative AI: Panorama of Existing Economic Research,” 2024, https://www.unedic.org/publications/emploi-et-ia-generative-panorama-des-travaux-economiques-existants (accessed 09/08/2026).

[17] Aghion, Philippe et al., debate “Innovation, Income Inequality and Social Mobility,” France Stratégie, https://www.strategie-plan.gouv.fr/debat-innovation-inegalites-de-revenus-et-mobilite-sociale (accessed 09/08/2026).

[18] Banque de France, “Distributional Accounts of Household Wealth,” Bulletin of the Banque de France no. 250, 2024, https://www.banque-france.fr/system/files/2024-02/BDF250-6_Comptes.pdf (accessed 09/08/2026).

[19] Fondation Jean-Jaurès / ClubPatrimoine, “Great Transmission: 9,000 Billion Euros of Inheritances in France,” synthesis of Banque de France’s distributional accounts, 2024, https://www.clubpatrimoine.com/contenus/transmission-patrimoine-france (accessed 09/08/2026).