Mirror Review
September 29, 2025
A troubling pattern is reappearing in tech. Some AI startups are quietly asking or pressuring staff to work 9 a.m. to 9 p.m., six days a week.
It’s being framed as the only way to “win the AI race.”
But this logic ignores a deeper reality: the very technology driving this urgency also provides tools that could eliminate the need for such grueling hours.
What’s happening right now
Industry reports suggest that a growing number of AI companies are normalizing or even advertising 996 as a cultural badge.
These are mostly startups racing to launch products, secure funding, or outpace rivals.
Adding fuel to the fire, well-known business leaders are contrasting Western flexible work styles with the relentless hours associated with Chinese tech culture.
Former Google CEO Eric Schmidt recently warned that work-from-home and balanced schedules may weaken U.S. competitiveness, echoing the idea that sacrifice is required to stay ahead.
Quick history of the 996 Work Schedule
The term “996” first gained traction in China during the early internet boom. It symbolized speed, discipline, and hustle.
Yet it soon became infamous, sparking public backlash and the 996.ICU movement, where workers argued that “working 996 leads you straight to the ICU.”
Globally, the schedule has always divided opinion: praised as a symbol of “ambition” by some, condemned as “exploitation” by others.
Why AI startups are considering 9-9-6
- Market-window pressure
In AI, speed often determines survival. A product released weeks earlier can secure funding, media buzz, and crucial partnerships. Many founders see extra hours as a shortcut to staying ahead.
- Investor signaling and survival math
Venture capital thrives on intensity. Aggressive roadmaps and high-commitment cultures can impress investors. Startups often signal dedication by ratcheting up work expectations, creating a spiral of long hours.
- Operational complexity of AI work
AI systems require endless iterations: data labeling, debugging, infrastructure, safety checks, and partner alignment. Founders who underestimate these cycles often resort to asking employees for more time instead of rethinking workflows.
- Geopolitical and competitive rhetoric
When influential voices warn that Western firms must “trade off” work-life balance to compete with rivals, it normalizes sacrifice as strategy and reshapes what “acceptable” looks like for winners.
The paradox: AI makes 996 look necessary
AI creates a unique contradiction.
- On one side, it raises the stakes. Faster model cycles and new markets push leaders to demand urgency.
- On the other hand, AI promises to automate much of the repetitive work that historically justified long hours.
Instead of leveraging this automation, many startups double down on human labor.
The result: longer weeks for employees instead of smarter human+AI collaboration.
It’s a mismatch of treating hours as the metric of progress rather than output.
Why Long Hours Don’t Pay Off
Research shows that productivity falls once work stretches past 50–55 hours a week. Creativity, problem-solving, and focus all decline under chronic overwork.
Some firms try to soften 996 work schedule by offering higher pay or equity. But this often attracts short-term recruits while increasing burnout and attrition.
In the long run, the cost of turnover outweighs any temporary gains.
What’s Likely to Happen Next
If 996 continues to spread in AI startups, expect four outcomes in the next 12–24 months:
1. Short-Term Wins, Fragile Gains
Some startups will ship demos quickly, raise funds, and grab headlines. But these wins will sit on shaky ground powered by exhaustion rather than sustainable systems.
2. Talent Flight and Brand Damage
Top engineers and product leaders will avoid companies that normalize 996. In talent-rich markets like the U.S. and Europe, firms with humane schedules will have a recruiting edge.
3. Legal and Regulatory Pushback
In many countries, a 72-hour workweek clashes with overtime laws. As stories emerge, regulators and lawyers are likely to intervene.
4. Two Distinct Models
The industry will split between “Hustle Houses” that burn bright but fast, and “Leverage Houses” that design smarter workflows, integrate AI tools, and sustain productivity with healthier schedules. The latter will have the long-term advantage.
What leaders should do instead?
If speed is the goal, brute force isn’t the answer. Smarter design is.
- Automate before asking more. Apply AI to labeling, builds, and testing first. Free human talent for higher-level work.
- Redefine speed. Focus on reliability, safety, and partner outcomes—not just code output or hours.
- Offer structured intensity, not endless grind. If sprints are necessary, make them voluntary, well-compensated, and paired with recovery time.
- Prioritize retention. Clear roadmaps, mentorship, and realistic deadlines build loyalty and reduce costly turnover.
End Note
Calling the 996 work schedule a “need” is more perception than reality.
Startups feel the pressure as competitive markets and investor demands make it real enough. But with the right tools and choices, the need is largely avoidable.
The tragedy is that many leaders mistake time scarcity for the actual problem. The real challenge isn’t a shortage of hours, it’s a shortage of leverage.
In the AI race, the companies that will thrive aren’t those that demand 72-hour weeks.
They’ll be the ones who design systems where machines handle the grind and humans focus on value.
