AI Startup Brutal Work Culture: 12-Hour Days Signal Future Labour Pressures
In San Francisco, the epicentre of the artificial intelligence economy, a relentless work culture has taken hold within AI startups. Employees are routinely working 12-hour days, six or seven days a week, with weekends becoming a distant memory. This intense grind, driven by fierce competition and the rapid pace of technological change, is creating significant anxiety among tech workers. Many fear this pressure cooker environment is not an isolated phenomenon but a stark warning of labour market transformations that could soon impact numerous other sectors globally.
The Relentless Grind in San Francisco's AI Hubs
Stories emerging from San Francisco's startup scene paint a picture of extreme dedication bordering on burnout. Sanju Lokuhitige, co-founder of the pre-seed AI startup Mythril, exemplifies this ethos, working seven days a week for 12 hours daily. He admits to having no work-life balance, coding incessantly and only breaking for select networking events. "If you go to a cafe on a Sunday, everyone is working," Lokuhitige observes, highlighting the pervasive nature of this culture.
Another employee from an early-stage AI company, who requested anonymity, described an even more extreme situation. His startup operates from a two-bedroom apartment in the Dogpatch neighbourhood, where founders live and work from 9am until 3am, pausing only for delivered meals, sleep, or cigarette breaks. He labelled the 16-hour daily schedules as "horrendous," far exceeding the notorious "996" culture (9am to 9pm, six days a week) previously associated with tech hubs.
A Shift from Pandemic Priorities to AI-Driven Anxiety
While startup hustle culture is not new, the current AI boom has introduced distinct pressures. Executive coach Mike Robbins, who has worked with giants like Google and Microsoft, notes a significant shift. Discussions about employee burnout, wellbeing, and belonging, which were paramount during and after the pandemic, have largely ceased. Company leaders now seek advice on managing change, disruption, and uncertainty—the very factors fueling longer, more intense work hours.
This anxiety is palpable among workers. Kyle Finken, a software engineer at Mintlify, expresses a common fear: "I think a lot of people are concerned like, 'Oh, am I going to have a job in three years?'" Despite record investment in AI companies in 2025, workers feel a new sense of scarcity. Tech layoffs that year, affecting about 250,000 globally, often cited AI as a contributing factor, shifting the balance of power away from employees and towards employers who can now make greater demands.
Drivers of the Gruelling Work Ethic
Several interconnected forces are compelling this brutal work schedule. Firstly, the breakneck speed of AI development means that taking a weekend off could result in missing a major technological advance, leaving workers and companies behind competitors. Secondly, the job market itself is transforming. Sanju Lokuhitige starkly states, "No one hires junior developers any more." Data from Indeed's Hiring Lab shows entry-level tech job postings have dropped by a third since 2022, while roles requiring five-plus years of experience have risen.
Consequently, "doing something cool"—like building a novel product—has become a prerequisite for employment. This pressures workers to grind relentlessly at startups to build portfolios that appeal to future employers. Even those excited by AI's potential, like Finken who acknowledges "extraordinary innovation," recognise this is "not an era of complacency." The tools are augmenting work rapidly, with uncertain long-term outcomes for job security.
A Harbinger for Broader Economic Transformation
The situation in San Francisco's AI sector may be a precursor for wider labour market upheaval. Economists and industry leaders warn that AI is poised to reshape work profoundly. Dario Amodei, CEO of Anthropic, suggests AI could eliminate roughly half of all entry-level white-collar jobs within five years. The head of the International Monetary Fund predicts AI will impact 60% of jobs in advanced economies, akin to a "tsunami hitting the labour market."
Early signs are visible in San Francisco itself, with Uber drivers competing against autonomous Waymo vehicles and robotic coffee bars replacing baristas. A Stanford study from November highlighted "substantial declines in employment for early-career workers" in AI-exposed industries, suggesting these areas act as a "canary in the coalmine" for the broader economy.
From Silicon Valley Model to Cautionary Tale
Historically, Silicon Valley was emulated globally for its innovative policies like unlimited vacation and office perks. Mike Robbins notes this idealisation has shifted. "Now, people aren't asking me to tell them what's going on in the Valley so that they can adopt it," he says. Instead of a blueprint for ideal work, the tech industry's current anxiety and compensatory overwork may serve as a premonition for pressures destined to ripple across other sectors. The brutal culture of AI startups is not just a localised issue but a potent warning signal for the future of work in an AI-dominated landscape.
