Daily Gig News

GWG Summary: DoorDash launched a program called Tasks in March 2026 that lets gig workers take on short data-collection assignments as a supplement or alternative to standard delivery work. The program is available in the main Dasher app and a standalone Tasks app in most US markets, excluding California, New York City, Seattle, and Colorado. Assignments include photographing restaurant dishes for digital menus, recording unscripted conversations in non-English languages to help train speech and translation models, and filming everyday household activities like loading a dishwasher to provide training data for AI and robotics systems. Pay is fixed per task rather than per hour. One Dasher in Texas reported earning 6 for 30 minutes of grocery shelf photography, though standard deliveries were more lucrative overall. DoorDash framed the program as flexible work that fits between deliveries or can be done independently. The company noted that more than eight million Dashers are active nationwide, giving the program wide reach. Uber and Instacart have launched similar programs under different names, indicating this model of using existing gig networks for AI data collection is becoming an industry trend.

Why It Matters - GWG's Take: This opens a new type of task-based income for DoorDash workers that does not require a vehicle or active delivery. If you are a Dasher in an eligible market, the Tasks program is worth checking out as a way to fill slow hours. More broadly, gig platforms are beginning to position their worker networks as AI data infrastructure, which creates new income options in the short term but raises longer-term questions about the sustainability and pay rates of that work as AI systems mature.

GWG Summary: The Trump administration in February 2026 proposed repealing a Biden-era Labor Department rule that had made it harder for companies to classify workers as independent contractors. The 2024 Biden rule used a multi-factor test that could weigh any number of conditions in favor of finding an employment relationship, which would entitle workers to minimum wage, overtime, expense reimbursements, and other protections. The new proposal replaces it with a narrower standard focused on how much control a company exerts over a worker and how much opportunity the worker has to profit from running an independent business. Under this framework, gig drivers who work for multiple platforms or set their own schedules would more likely qualify as contractors. Industries that rely heavily on contractors, including app-based delivery services like Uber, DoorDash, and Instacart, and trucking, stand to benefit. Worker advocates warned the rollback would strip basic legal protections from millions of economically vulnerable people. Industry groups praised the change as recognizing the flexibility that gig workers value. The proposal opened a 60-day public comment period after formal publication in late February 2026.

Why It Matters - GWG's Take: If finalized, this rule makes it easier for gig platforms to keep classifying you as an independent contractor rather than an employee. That means no guaranteed minimum wage, no overtime, no expense reimbursements, and no unemployment insurance under federal law. State laws can still offer more protection, especially in California and New York, but the federal floor would weaken. For gig workers who were hoping federal law might eventually improve their classification status, this is a move in the opposite direction.

GWG Summary: A February 2026 report from Ramp Economics Lab, based on actual company spending data tracked through the Ramp corporate card platform, found a sharp shift away from freelance marketplaces toward AI tools. Across businesses tracked by Ramp, the share of total spending going to freelance platforms like Upwork and Fiverr fell from 0.66 percent in Q4 2021 to 0.14 percent by Q3 2025. Spending on AI model providers climbed from near zero to nearly 3 percent of business spend over the same period. More than half of businesses that regularly used freelancers in 2022 had stopped entirely by the time data was collected. Companies that once spent the most on freelance labor were the fastest to shift toward AI tools. The cost math is significant: for every dollar cut from freelance budgets, the most heavily exposed companies spent just three cents on AI to replace the output. Even moderate adopters spent roughly 30 cents on AI per dollar saved on freelancers. Ramp economist Ara Kharazian noted that freelancers lack the safety net of traditional employment and are first in line for displacement, with no severance, benefits, or unemployment insurance to fall back on. The paper is one of the first studies to link corporate AI adoption directly to reduced freelance hiring at the company level.

Why It Matters - GWG's Take: This is real spending data, not projections or surveys. Freelancers doing writing, coding, design, and other well-defined task work are already losing ground to AI tools at a measurable pace. If your income relies on platforms like Upwork or Fiverr, the direction here is clear and worth taking seriously. There is a practical upside embedded in the data: AI-enabled freelancers who incorporate AI tools into their workflow earn significantly more per hour than those who do not, suggesting adaptation is possible but increasingly necessary.