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Das knappe Gut Arbeit
Automatisierung, Arbeitskräftemangel und sozialer Konflikt
Angesichts von Digitalisierung und Künstlicher Intelligenz wird allerorten vor massiven Arbeitsplatzverlusten gewarnt. Gleichzeitig reißen die Klagen über Fachkräftemangel nicht ab, zahllose Stellen bleiben unbesetzt, und dem Pflegesektor droht der Kollaps.
Florian Butollo geht diesem Paradoxon auf den Grund und analysiert, warum gerade Automatisierung immer mehr Arbeit schafft – und damit zur Keimzelle eines neuen sozialen Konflikts wird: Die anbrechende Ära der Arbeitskräfteknappheit ist geprägt vom Leiden an Überlastung und den Kämpfen dagegen. Zugleich stellt sich die Frage nach der Sinnhaftigkeit von Arbeit neu: Wofür wollen wir angesichts sozialer und ökologischer Krisen künftig unsere Arbeitskraft einsetzen – und welche Tätigkeiten können verschwinden?
Angesichts von Digitalisierung und Künstlicher Intelligenz wird allerorten vor massiven Arbeitsplatzverlusten gewarnt. Gleichzeitig reißen die Klagen über Fachkräftemangel nicht ab, zahllose Stellen bleiben unbesetzt, und dem Pflegesektor droht der Kollaps.
Florian Butollo geht diesem Paradoxon auf den Grund und analysiert, warum gerade Automatisierung immer mehr Arbeit schafft – und damit zur Keimzelle eines neuen sozialen Konflikts wird: Die anbrechende Ära der Arbeitskräfteknappheit ist geprägt vom Leiden an Überlastung und den Kämpfen dagegen. Zugleich stellt sich die Frage nach der Sinnhaftigkeit von Arbeit neu: Wofür wollen wir angesichts sozialer und ökologischer Krisen künftig unsere Arbeitskraft einsetzen – und welche Tätigkeiten können verschwinden?
254 pages, Paperback
Published March 24, 2026
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August 3, 2026In den aktuellen Debatten zum Thema Künstliche Intelligenz in der Arbeitswelt werden nicht selten Katastrophenszenarien bemüht, in denen wahlweise die Einsteigerjobs für Hochschulabsolventen oder gleich weite Teile der White Collar Jobs wegbrechen werden. Hierzu formuliert der Arbeitssoziologe Florian Butollo in „Das knappe Gut Arbeit“ eine pointierte Gegenthese: Künstliche Intelligenz wird nicht weniger, sondern mehr Arbeit erzeugen. Dabei orientiert er sich an den vorherigen industriellen Revolutionen, durch diese zwar bestimmte Tätigkeiten entfielen, aber zugleich neue Berufsgruppen entstanden sind, die in der Summe einen größeren Arbeitsbedarf als vorher bedeuteten. Ähnliches erwartet er auch im Rahmen der KI-Revolution: Getrieben durch sogenannte Rebound-Effekte, wie bspw. dem Management der Automatisierung, geht Butollo davon aus, dass der Einsatz von KI keine massive Jobvernichtung zur Folge haben wird, jedenfalls nicht ohne umfassend neue Arbeitsbedarfe entstehen zu lassen. Doch sein Optimismus geht noch weiter: Aufgrund des Arbeitskräftemangels in verschiedenen Branchen wie der Alten- und Krankenpflege, der Kinderbetreuung sowie der Logistik sieht Butollo einen Arbeitnehmermarkt entstehen, welche die Arbeitsbedingungen für Beschäftigte mittelbar verbessern wird.
Was ist von dieser äußerst optimistischen Sichtweise zu halten? Zunächst hängt Butollos gesamte Argumentation an einem neuralgischen Punkt; nämlich, dass sich die KI-Revolution strukturell adäquat zu den vorherigen industriellen Revolutionen verhalten wird. Sollte sich diese Prognose nicht bewahrheiten dürften wir aber schnell in ganz anderen Szenarien hineinlaufen. Außerdem unterschätzt Butollo, dass jene Berufe mit starkem Fachkräftemangel überwiegend kein höheres Ausbildungsniveau voraussetzen. Es stellt sich daher die Frage, ob Personen, die vorher gut bezahlte, durch die KI aber entfallene Bürojobs hatten, neue Tätigkeiten als Paketzulieferer oder Kellner wirklich als Chance oder doch vielmehr als Status- und Einkommensverlust begreifen, wodurch neue gesellschaftliche Probleme erwachsen.
Nach meiner Auffassung insgesamt zu optimistisch aber ein wichtiger Kontrapunkt in der KI-Debatte
Review auf Instagram: https://www.instagram.com/p/Dbkr6FgAntN/
Was ist von dieser äußerst optimistischen Sichtweise zu halten? Zunächst hängt Butollos gesamte Argumentation an einem neuralgischen Punkt; nämlich, dass sich die KI-Revolution strukturell adäquat zu den vorherigen industriellen Revolutionen verhalten wird. Sollte sich diese Prognose nicht bewahrheiten dürften wir aber schnell in ganz anderen Szenarien hineinlaufen. Außerdem unterschätzt Butollo, dass jene Berufe mit starkem Fachkräftemangel überwiegend kein höheres Ausbildungsniveau voraussetzen. Es stellt sich daher die Frage, ob Personen, die vorher gut bezahlte, durch die KI aber entfallene Bürojobs hatten, neue Tätigkeiten als Paketzulieferer oder Kellner wirklich als Chance oder doch vielmehr als Status- und Einkommensverlust begreifen, wodurch neue gesellschaftliche Probleme erwachsen.
Nach meiner Auffassung insgesamt zu optimistisch aber ein wichtiger Kontrapunkt in der KI-Debatte
Review auf Instagram: https://www.instagram.com/p/Dbkr6FgAntN/
May 22, 2026
Das knappe Gut Arbeit:(“Labour: The Scarce Resource"), Suhrkamp 2026.
Very good read, empirically rich, one of the more convincing German-language books I have read recently on AI, demographic change and the future of work. There's a bit too much rubbish out on AI these days so I am careful curating my AI reads based on previous reviews by people I trust.
Unpacking the strange contradiction of our current moment: societies simultaneously obsessed with the fear of technological unemployment while apparently running out of workers almost everywhere. We are constantly told that AI will replace everyone, yet hospitals, schools, childcare systems, logistics, social services, infrastructure and even industrial sectors are desperately searching for labour. The core argument of the book is precisely this contradiction and why the dominant narratives around automation fundamentally misunderstand what is happening.
A few major points:
#1 The central analytical contribution of the book is the idea that capitalist development (the book builds on a Marxist analytical framework) should be understood as a dialectic between rationalization and increasing complexity. In other words: automation does not simply eliminate labour, there are several rebound tendencies; it also creates new forms of differentiation, coordination, regulation, services and social needs that generate more work elsewhere. Rationalization and complexity are mutually dependent. Automation enables further differentiation, and increasing differentiation requires more automation to remain manageable. This is also how the author explains the current wave of AI and digitalization.
The empirical examples are interesting. Despite decades of automation, global employment has not collapsed. Quite the opposite: since 2000 alone, the global number of employed people increased by around 900 million to roughly 3.6 billion people, more than ever before. Equally striking: more than half of all occupations currently existing in the US labour market did not even exist in 1940. So the historical pattern is not “technology destroys work”, but rather “technology transforms and redistributes work while creating new sectors and demands”.
#2 The German case: the current situation is characterized by a seemingly paradoxical coexistence of layoffs and labour shortages. Since early 2024, Germany has reportedly been losing more than 10,000 industrial jobs per month. Yet at the same time, total employment remains near record levels because employment growth in health care, education, social services and care work compensates for industrial decline.
The point is not that deindustrialization is imaginary. The point is that the structure of labour demand is fundamentally shifting. Employment in nursing and care services increased by more than 85 per cent between 2000 and 2023. Educational staff in childcare facilities increased by more than 50 per cent within a decade. The health and social sectors are expanding significantly faster than the overall economy. Simultaneously, the energy transition itself requires hundreds of thousands of additional workers. So while public discourse remains obsessed with industrial decline, the actual labour market dynamic is increasingly one of structural labour scarcity.
#3 One of the strongest parts of the book is the argument that demographic change is not some external disruption to capitalism but one of its own outcomes. The ageing of societies is itself a modernization phenomenon. And once you start from that premise, many current debates look very different.
The author essentially argues that advanced societies may simply need to devote more labour, resources and economic capacity toward social reproduction: care, health, education, childcare, elderly care and social infrastructure. This is presented not as economic decline, but potentially as a desirable civilizational development toward a more caring society. There's a huge body of work on the care economy obviously, Melinda Cooper, for instance, has written great (= Marxist) stuff on this.
In OECD countries, the ratio of people over 65 relative to the working-age population increased from 19 per cent in 1980 to 31 per cent in 2023 and is projected to rise to more than 50 per cent by 2060. In several countries, including Germany, the working-age population is expected to decline by more than 20 per cent. The author’s point is basically: we are only at the very beginning of this transformation.
#4 Demography and migration: I made a mental note here. In light of the far right's anti-immigration propaganda, the progressive response also includes the argument that the demographic crisis can only be addressed through migration/ highlighting the positive economic contribution of migrants to the (German) economy. I feel uneasy about this. Firstly, I don't want to get into the narrative of people's value being linked to their economic usefulness. So, the illiterate Afghan woman versus the famous Syrian doctor. Secondly, and more importantly, this builds on a narrow national perspective: draining skilled workers from the global south is a core feature of 21st century imperialism. John Smith's 2016 "Imperialism in the 21st century" was a game changing read on this for me as much (or probably more) Zak Cope's 2019 "The Wealth of (some) Nations". This needs to be addressed.
In other words: it's great that Germany has 6,000 Syrian doctors, most of them educated through the Syrian system and funda but what about the healthcare in Syria? Etc.
#5 The AI sections are much more nuanced than most current public discourse. The book strongly rejects the simplistic narrative that AI will “solve” labour shortages. Instead, the argument is that digital technologies frequently intensify work, de-skill professions and erode experiential knowledge rather than genuinely relieving workers.
The logistics examples are particularly good. Digital assistance systems often do not “upskill” workers but instead fragment tasks and reduce autonomy. The author repeatedly makes the point that many of the problems currently framed as technological are in fact political and social problems. You cannot automate away demographic ageing, care needs or the crisis of social reproduction.
One of the strongest formulations in the book is essentially that AI can maybe reduce acute pressure in certain areas, but it cannot compensate for the epochal scale of demographic transformation currently underway.
#6 Another interesting contradiction the book highlights: Germany simultaneously faces labour shortages and massive dissatisfaction with work itself. Roughly 80 per cent of full-time employees would reportedly prefer a four-day work week if wages remained stable, while many part-time workers would actually like to work more hours. The conflict is therefore increasingly not simply about employment, but about the distribution, intensity and quality of labour.
The book argues that future social conflicts may revolve less around unemployment and more around overload, burnout, work-life balance and the attempt to reconcile paid labour with care responsibilities and private life. In that sense, the “labour question” of the 21st century increasingly becomes a question of time, exhaustion and social reproduction.
#7 The final chapters move toward industrial policy, labour allocation and the role of the state. There is a very explicit argument against simply trusting “the market” to allocate labour in socially rational ways. Not surprising for a progressive book. Mariana Mazzucato features here, especially her work on mission-oriented industrial policy and the role of public investment in technological innovation.
The broader argument is that labour scarcity may actually force societies to think politically about where labour should go, which sectors matter most and how work is socially valued.
#8 I also appreciated that the book avoids both techno-optimism and total collapse narratives. It does not deny industrial decline, economic stagnation or political tensions. In fact, the overall mood of the book is relatively sober and at times quite pessimistic about Germany’s short-term economic trajectory. But it rejects the simplistic idea that societies are heading toward a world “without work”.
If anything, the opposite may be true: the problem of the coming decades may not be too little work, but too much socially necessary work and too few people available to do it. You'd think this would change the balance of power between capital and labour in terms of the income shares but not sure this is what the author is suggestion and of course it's a political question.
Overall: useful read but the book could probably have been 20–25 per cent shorter. Some arguments, especially around the dialectic of rationalization and complexity, are repeated several times. The core thesis becomes clear relatively early on.
Very good read, empirically rich, one of the more convincing German-language books I have read recently on AI, demographic change and the future of work. There's a bit too much rubbish out on AI these days so I am careful curating my AI reads based on previous reviews by people I trust.
Unpacking the strange contradiction of our current moment: societies simultaneously obsessed with the fear of technological unemployment while apparently running out of workers almost everywhere. We are constantly told that AI will replace everyone, yet hospitals, schools, childcare systems, logistics, social services, infrastructure and even industrial sectors are desperately searching for labour. The core argument of the book is precisely this contradiction and why the dominant narratives around automation fundamentally misunderstand what is happening.
A few major points:
#1 The central analytical contribution of the book is the idea that capitalist development (the book builds on a Marxist analytical framework) should be understood as a dialectic between rationalization and increasing complexity. In other words: automation does not simply eliminate labour, there are several rebound tendencies; it also creates new forms of differentiation, coordination, regulation, services and social needs that generate more work elsewhere. Rationalization and complexity are mutually dependent. Automation enables further differentiation, and increasing differentiation requires more automation to remain manageable. This is also how the author explains the current wave of AI and digitalization.
The empirical examples are interesting. Despite decades of automation, global employment has not collapsed. Quite the opposite: since 2000 alone, the global number of employed people increased by around 900 million to roughly 3.6 billion people, more than ever before. Equally striking: more than half of all occupations currently existing in the US labour market did not even exist in 1940. So the historical pattern is not “technology destroys work”, but rather “technology transforms and redistributes work while creating new sectors and demands”.
#2 The German case: the current situation is characterized by a seemingly paradoxical coexistence of layoffs and labour shortages. Since early 2024, Germany has reportedly been losing more than 10,000 industrial jobs per month. Yet at the same time, total employment remains near record levels because employment growth in health care, education, social services and care work compensates for industrial decline.
The point is not that deindustrialization is imaginary. The point is that the structure of labour demand is fundamentally shifting. Employment in nursing and care services increased by more than 85 per cent between 2000 and 2023. Educational staff in childcare facilities increased by more than 50 per cent within a decade. The health and social sectors are expanding significantly faster than the overall economy. Simultaneously, the energy transition itself requires hundreds of thousands of additional workers. So while public discourse remains obsessed with industrial decline, the actual labour market dynamic is increasingly one of structural labour scarcity.
#3 One of the strongest parts of the book is the argument that demographic change is not some external disruption to capitalism but one of its own outcomes. The ageing of societies is itself a modernization phenomenon. And once you start from that premise, many current debates look very different.
The author essentially argues that advanced societies may simply need to devote more labour, resources and economic capacity toward social reproduction: care, health, education, childcare, elderly care and social infrastructure. This is presented not as economic decline, but potentially as a desirable civilizational development toward a more caring society. There's a huge body of work on the care economy obviously, Melinda Cooper, for instance, has written great (= Marxist) stuff on this.
In OECD countries, the ratio of people over 65 relative to the working-age population increased from 19 per cent in 1980 to 31 per cent in 2023 and is projected to rise to more than 50 per cent by 2060. In several countries, including Germany, the working-age population is expected to decline by more than 20 per cent. The author’s point is basically: we are only at the very beginning of this transformation.
#4 Demography and migration: I made a mental note here. In light of the far right's anti-immigration propaganda, the progressive response also includes the argument that the demographic crisis can only be addressed through migration/ highlighting the positive economic contribution of migrants to the (German) economy. I feel uneasy about this. Firstly, I don't want to get into the narrative of people's value being linked to their economic usefulness. So, the illiterate Afghan woman versus the famous Syrian doctor. Secondly, and more importantly, this builds on a narrow national perspective: draining skilled workers from the global south is a core feature of 21st century imperialism. John Smith's 2016 "Imperialism in the 21st century" was a game changing read on this for me as much (or probably more) Zak Cope's 2019 "The Wealth of (some) Nations". This needs to be addressed.
In other words: it's great that Germany has 6,000 Syrian doctors, most of them educated through the Syrian system and funda but what about the healthcare in Syria? Etc.
#5 The AI sections are much more nuanced than most current public discourse. The book strongly rejects the simplistic narrative that AI will “solve” labour shortages. Instead, the argument is that digital technologies frequently intensify work, de-skill professions and erode experiential knowledge rather than genuinely relieving workers.
The logistics examples are particularly good. Digital assistance systems often do not “upskill” workers but instead fragment tasks and reduce autonomy. The author repeatedly makes the point that many of the problems currently framed as technological are in fact political and social problems. You cannot automate away demographic ageing, care needs or the crisis of social reproduction.
One of the strongest formulations in the book is essentially that AI can maybe reduce acute pressure in certain areas, but it cannot compensate for the epochal scale of demographic transformation currently underway.
#6 Another interesting contradiction the book highlights: Germany simultaneously faces labour shortages and massive dissatisfaction with work itself. Roughly 80 per cent of full-time employees would reportedly prefer a four-day work week if wages remained stable, while many part-time workers would actually like to work more hours. The conflict is therefore increasingly not simply about employment, but about the distribution, intensity and quality of labour.
The book argues that future social conflicts may revolve less around unemployment and more around overload, burnout, work-life balance and the attempt to reconcile paid labour with care responsibilities and private life. In that sense, the “labour question” of the 21st century increasingly becomes a question of time, exhaustion and social reproduction.
#7 The final chapters move toward industrial policy, labour allocation and the role of the state. There is a very explicit argument against simply trusting “the market” to allocate labour in socially rational ways. Not surprising for a progressive book. Mariana Mazzucato features here, especially her work on mission-oriented industrial policy and the role of public investment in technological innovation.
The broader argument is that labour scarcity may actually force societies to think politically about where labour should go, which sectors matter most and how work is socially valued.
#8 I also appreciated that the book avoids both techno-optimism and total collapse narratives. It does not deny industrial decline, economic stagnation or political tensions. In fact, the overall mood of the book is relatively sober and at times quite pessimistic about Germany’s short-term economic trajectory. But it rejects the simplistic idea that societies are heading toward a world “without work”.
If anything, the opposite may be true: the problem of the coming decades may not be too little work, but too much socially necessary work and too few people available to do it. You'd think this would change the balance of power between capital and labour in terms of the income shares but not sure this is what the author is suggestion and of course it's a political question.
Overall: useful read but the book could probably have been 20–25 per cent shorter. Some arguments, especially around the dialectic of rationalization and complexity, are repeated several times. The core thesis becomes clear relatively early on.
Displaying 1 - 2 of 2 reviews