Sharebite Data Shows Corporate Meal Orders Doubled on Saturdays and Up 57% After Hours in Q1 2026
Data from corporate meal platform Sharebite shows a surge in weekend and evening orders in the first quarter of 2026, outpacing user growth. This trend aligns with research linking AI adoption to longer work hours among employees. Companies like Atlassian, Block, and Snap cited AI in recent layoffs.
Corporate meal orders on Saturdays more than doubled in the first quarter of 2026 compared with the same period in 2025, according to data from Sharebite, a meal benefits and delivery platform. Orders placed after 6 pm on weekdays and weekends rose 57% over that time, while overall user growth increased 36%.
Business Insider reported these findings suggest workers are logging more hours outside traditional times, potentially tied to AI adoption.
Sharebite, founded in 2015, serves several hundred clients mainly in tech and finance. Rao added that activity is extending later into the day and into weekends, drawing a connection to the AI boom. Atlassian announced mass layoffs earlier in 2026, citing AI as a factor.
Block announced mass layoffs earlier in 2026, also referencing AI. Snap announced mass layoffs earlier in 2026, with AI mentioned as a common element in these workforce adjustments. Atlassian, Block, and Snap cited AI as a common factor in their 2026 mass layoffs, according to Business Insider.
The report noted that these companies adjusted their workforces due to the technology's impact on efficiency. A study published in the Harvard Business Review in February 2026 found that employees who use AI take on a broader range of tasks and put in longer hours than those who don’t. This aligns with Sharebite's observations of increased off-hours activity.
U.S. tech company. The UC Berkeley report observed that employees multitasked more, took on broader responsibilities, and worked longer hours.
A 2025 report published by the National Bureau of Economic Research linked greater AI exposure to longer work hours and reduced leisure time. The National Bureau of Economic Research report stated that AI complements human labor rather than replacing it.
The surge in late-night and weekend orders echoes the Pentagon Pizza Theory, which originated in the early 1990s and is often credited to a pizza shop owner.
This theory posits that spikes in food deliveries to government buildings signal overtime work ahead of major events. He emphasized that the trends underscore the essential role of human talent amid AI adoption. Research from multiple sources, including the Harvard Business Review and UC Berkeley, supports the idea that AI is stretching professionals' workloads rather than reducing them.
The National Bureau of Economic Research's findings further indicate that AI's complementary nature leads to expanded responsibilities and extended hours.
Key Facts
Story Timeline
6 events- 2026-05-03
Current date, with ongoing trends in AI adoption and work hours as reported.
1 sourceBusiness Insider - 2026 Q1
Sharebite reports Saturday orders more than doubled, after-6pm orders rose 57%, and user growth increased 36% compared to 2025 Q1.
1 sourceSharebite - 2026 February
Harvard Business Review publishes study finding AI users take on more tasks and work longer hours.
1 sourceHarvard Business Review - 2026
UC Berkeley researchers release report on eight-month study showing increased multitasking and longer hours.
1 sourceUC Berkeley researchers - 2026 earlier
Atlassian, Block, and Snap announce mass layoffs citing AI.
1 sourceBusiness Insider - 2025
National Bureau of Economic Research publishes report linking AI to longer hours and reduced leisure.
1 sourceNational Bureau of Economic Research
Potential Impact
- 01
Growth in corporate meal services like Sharebite amid rising off-hours demand.
- 02
Increased employee burnout from extended hours due to AI integration.
- 03
Further workforce adjustments or layoffs in tech and finance sectors as AI evolves.
- 04
Shift in company perks toward supporting longer workdays, such as expanded meal benefits.
- 05
Policy discussions on AI's role in work-life balance and labor regulations.
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