Analysis of: Facing AI and a tough job market, gen Z turns to entrepreneurship: ‘I have to prove myself’
The Guardian | April 25, 2026
TL;DR
Gen Z workers face a collapsing entry-level job market as AI eliminates the first rungs of the career ladder, pushing them toward precarious entrepreneurship. Capital frames this forced self-exploitation as empowering 'ownership' while systematically dismantling the conditions for stable employment.
Analytical Focus:Class Analysis Contradictions Material Conditions
This article reveals a profound transformation in the labor market where technological change—specifically AI—is being deployed to eliminate entry-level positions, forcing young workers into precarious self-employment that capital then celebrates as entrepreneurial freedom. The fundamental class dynamic is obscured by ideological framing that presents systemic dispossession as individual empowerment. The material reality is stark: hiring has slumped to pandemic lows, entry-level jobs are being automated away, and a Harvard professor notes that workers now need to 'get up to the fourth rung of the career ladder' just to enter the workforce. Yet rather than examining who benefits from this arrangement—primarily tech companies and investors who can extract value while eliminating labor costs—the article centers individual success stories of young people 'making their own ladders.' A venture capitalist openly admits his firm eliminated associate positions entirely, using AI to do their work, then pivots to celebrate how workers can use these same tools to 'build stuff.' The ideological work here is substantial. Statements like 'the old promise was stability, the new promise is ownership' naturalize the destruction of employment security as progress. The fact that one young CEO raised $9 million in venture capital is presented as an accessible path, obscuring that most entrepreneurs fail and that access to capital remains overwhelmingly concentrated among the white, male, and already-connected. The article briefly acknowledges these structural inequalities but quickly returns to celebrating individual hustle. What emerges is a portrait of capital using technological disruption to transfer risk onto workers while extracting their unpaid labor (free content creation, speculative app development) and framing this dispossession as liberation.
Class Dynamics
Actors: Gen Z workers/graduates seeking employment, Tech corporations (Amazon, Google, etc.), Venture capitalists (Khosla Ventures), Platform companies (Fiverr, LinkedIn), Brands seeking content (Jamba Juice, Paramount, Sony), Academic/professional commentators (Harvard Business School)
Beneficiaries: Tech companies eliminating labor costs through AI, Venture capitalists gaining access to desperate entrepreneurial labor, Platforms profiting from freelance/gig work, Brands obtaining cheap or free content from aspiring creators, Established workers whose positions are protected while entry-level is eliminated
Harmed Parties: Entry-level workers facing unemployment or underemployment, Recent graduates competing against AI for positions, Workers from underrepresented groups facing compounded barriers, Those without capital or connections to pursue entrepreneurship, Workers losing access to benefits, stability, and collective power
Capital holds decisive power in this arrangement, using AI deployment to restructure the labor market in its favor. Tech companies decide which jobs to eliminate while venture capitalists gatekeep access to the entrepreneurial 'alternative.' Platform companies extract value from the resulting precarious workforce. Workers are atomized into individual entrepreneurs competing against each other, stripped of collective bargaining power. The academic-professional class (Harvard professors, LinkedIn economists) provides ideological legitimation for this transformation.
Material Conditions
Economic Factors: AI automation eliminating routine cognitive work, Lowest hiring rates since 2020, Highest youth unemployment since the pandemic, Rising expectations for entry-level workers without corresponding compensation, Shift from employment to contract/freelance/gig arrangements, Concentration of VC funding among privileged demographics
The article documents a fundamental shift in how surplus value is extracted from young workers. Previously, entry-level employees exchanged labor for wages and benefits within corporate structures. Now, capital seeks to eliminate this direct employment relationship while still capturing the value of labor. Young workers create content for free or cheap, build apps speculatively, and absorb all the risks of entrepreneurship while investors select only the successful ventures to fund. AI tools allow capital to appropriate the general intellect—the accumulated knowledge of society—while eliminating the workers who previously performed cognitive tasks. The 'low-code' platforms celebrated in the article are themselves products of accumulated human labor, now weaponized against employment.
Resources at Stake: Entry-level employment positions (being eliminated), Worker benefits (health insurance, stability), Human cognitive labor (being automated), Entrepreneurial labor (extracted speculatively), Venture capital ($9M+ for select founders), Platform access and algorithmic visibility, Skills and credentials (devalued by AI)
Historical Context
Precedents: Industrial revolution displacement of artisan labor, Deindustrialization and offshoring of manufacturing jobs (1970s-present), Gig economy emergence undermining employment protections (2010s), Dot-com bubble's celebration of entrepreneurial disruption, Neoliberal restructuring of labor markets since 1980s, Historical patterns of technological unemployment followed by new exploitation regimes
This represents an intensification of neoliberal labor market restructuring entering a new technological phase. Since the 1970s, capital has systematically dismantled employment protections, union power, and the social wage. The gig economy represented one stage of this process; AI-driven elimination of entry-level work represents its acceleration. The ideological celebration of entrepreneurship as 'freedom' echoes earlier neoliberal rhetoric about 'flexible labor markets'—always framing capital's freedom to exploit as workers' freedom from security. The current moment also reflects financialized capitalism's logic: venture capital seeks to capture value from speculative entrepreneurial labor, taking equity stakes in the successful few while the many absorb losses.
Contradictions
Primary: AI simultaneously eliminates the entry-level jobs young workers need while being presented as the tool that will enable their entrepreneurial success—capital uses the same technology to dispossess workers and to extract their speculative labor.
Secondary: Workers seeking 'ownership' through entrepreneurship become more dependent on platforms, investors, and algorithmic visibility than traditional employees, The 'democratization' of AI tools produces intensified competition that benefits only capital, Young workers want 'purpose and flexibility' but entrepreneurship often means 24/7 work and financial precarity, Success stories require VC funding, but VC reproduces existing class, race, and gender hierarchies, Workers flee corporate control only to become self-exploiting entrepreneurs absorbing all market risks
These contradictions are likely to intensify rather than resolve within the current system. As AI capabilities expand, more workers will be pushed into precarious entrepreneurship, increasing competition and driving down returns. The venture-backed success stories will become statistically rarer as markets saturate. Workers may eventually recognize that individual solutions cannot address collective dispossession, potentially creating conditions for renewed labor organizing—though likely in new forms suited to platform and gig work. The fundamental contradiction between social production (collective creation of AI, platforms, knowledge) and private appropriation (tech companies and investors capturing value) will continue to generate instability.
Global Interconnections
This story reflects global patterns of AI-driven labor restructuring concentrated in the imperial core economies. While the article focuses on US and UK workers, the technologies displacing them were often developed using data and labor from the global periphery—content moderation in the Philippines, data labeling in Kenya, manufacturing in China. The venture capital model described depends on financial flows concentrated in wealthy nations, while the platforms that enable 'entrepreneurship' extract value globally while evading labor protections everywhere. The crisis described also connects to broader patterns of generational dispossession under financialized capitalism. Young workers face not only a hostile job market but housing unaffordability, student debt, and climate crisis—all symptoms of a system prioritizing short-term profit extraction over social reproduction. The turn to entrepreneurship represents an individualized response to collective problems, potentially foreclosing more transformative possibilities while generating new forms of precarity that will define labor relations for coming decades.
Conclusion
This article documents a significant restructuring of class relations under the guise of technological progress, where capital celebrates the very insecurity it creates as entrepreneurial freedom. For workers, the implications are clear: individual solutions to systemic dispossession will reproduce rather than resolve exploitation. The young workers profiled are not wrong to seek alternatives to a collapsing job market—but framing self-exploitation as 'ownership' obscures the collective action needed to challenge capital's control over AI deployment, labor markets, and the conditions of work itself. The real question is not how individuals can climb their own ladders, but who decides which ladders exist and for whom.
Suggested Reading
- Wage Labour and Capital by Karl Marx (1849) Marx's foundational text on how labor becomes a commodity explains the underlying dynamics of workers competing against each other—and now against AI—for the opportunity to sell their labor power.
- Bullshit Jobs: A Theory by David Graeber (2018) Graeber's analysis of meaningless work and the labor market's irrationalities illuminates how young workers' desire for 'purpose' reflects real contradictions in contemporary capitalism's organization of work.
- The Age of Surveillance Capitalism by Shoshana Zuboff (2019) Zuboff's examination of how tech companies extract and commodify human experience provides essential context for understanding AI's deployment as a tool of labor displacement and value extraction.
- The Shock Doctrine by Naomi Klein (2007) Klein's analysis of how crises are exploited to restructure economies parallels the current use of AI disruption and economic uncertainty to normalize precarious work arrangements.