Why Uber Is More Expensive ... For Some People

Overview

A report-style investigation argues that Uber’s “upfront pricing” and algorithmic pricing allow the same ride to cost different people different amounts—often substantially more—while squeezing drivers’ earnings and increasing Uber’s take rate.

Key Findings and Arguments

• Same ride, different prices: The video begins with an in-office test where multiple people request the same Uber X trip at the same time. The participants report that the highest fare was ~21% more than the lowest. A later set of quotes to JFK shows variation as well, though the differences are described as smaller in that test. Viewers and riders are portrayed as confused and frustrated because they receive different prices for ostensibly identical conditions.

• “Algorithmic price discrimination” / “surveillance pricing”: The video cites a research analysis claiming that upfront pricing lets Uber estimate:

  • what a specific consumer is likely willing to pay (maximum), and
  • what the nearest drivers are likely to accept (minimum), using AI and data to maximize profit. Critics characterize this as data-enabled price discrimination.

• Uber denies personalizing prices (but acknowledges some use of personal data): Uber reportedly denies using personal data to personalize fares, but it acknowledges using personal data for promotions and discounts. The video also notes that New York requires disclosures when personal data is used in pricing, and claims Uber’s app sometimes includes language suggesting an algorithm sets price using personal data.

• Patents raise questions about what Uber can infer: The video references Uber patents describing how phone signals and ride history could infer sensitive traits (e.g., typing behavior, tapping accuracy, walking speed, and possible demographic/work patterns). Uber responds that the patents don’t prove present or past use and don’t directly relate to pricing. Critics argue, however, the underlying technology could enable detailed targeting.

How the Shift to Upfront Pricing Is Portrayed

• From a “digital taxi meter” to opaque pricing: Historically, Uber used a rate-card style formula (base + time/mileage) with occasional surge pricing. The video describes surge as disliked by riders but beneficial to drivers because it increased driver earnings.

• Upfront pricing reduces transparency: Under upfront pricing, riders and drivers see price and payout in advance, but the logic behind those numbers becomes more opaque. The video claims Uber no longer relies on a straightforward rate card and instead uses many data points, such as:

  • trip time/distance and route,
  • time of day and demand patterns,
  • tolls/taxes/fees.

• “Black-box” outcomes: The core criticism is that while both sides see the amounts, neither riders nor drivers can easily verify how the figures are computed.

Impact on Driver Pay and Uber’s Take Rate

• Drivers say earnings don’t match what riders pay: Through interviews and ride-along examples, drivers argue that upfront pricing leads to lower effective earnings and reduced bargaining power because drivers have only seconds to accept or reject offered trips.

• Take rate appears to rise: The video reports analyses by Len Sherman and other studies finding that Uber’s take rate increases under upfront pricing. It cites figures including:

  • Uber’s median cut rising (e.g., a 2025 study of 258 drivers: median cut increasing from ~25% to ~29%, sometimes higher).
  • Sherman’s broader analysis suggesting take rates exceeding 50% for some drivers.

• Fee and insurance volatility described by drivers: One driver example (Levi in the Syracuse area) highlights fluctuations in commercial auto insurance and other fees visible on receipts, which he says are hard to reconcile with Uber’s explanations. The video also states that Sherman found fee fluctuations statistically unrelated to trip timing.

• Uber’s defense: Uber reportedly argues pricing is driven by marketplace and route conditions—not driver-specific behavior—and that riders’ higher costs reflect outside expenses (e.g., insurance and operational costs). It also points to CEO remarks about matching the right trip to the right driver to reduce downtime and rider wait times.

Broader Context and Business Outcomes

• Fares rising sharply since the early model: The video claims average Uber fares increased dramatically—~83% from 2018 to 2022—far faster than inflation. Uber attributes increases to inflation, fees/costs, and post-pandemic driver shortages, and notes that later data isn’t available in the same public dataset.

• Profitability and stock turnaround: It notes Uber reported its first annual profit in 2023, framing upfront pricing as part of the broader turnaround narrative.

Conclusion / Takeaway

The video’s overall thesis is that upfront pricing helps Uber extract more value from riders through data-driven pricing, while compressing driver earnings and increasing Uber’s share—creating trust issues for both drivers and riders. It emphasizes that the mechanism is difficult to verify because the pricing process is opaque.

Presenters or Contributors

• Narration / reporters (Business Insider / investigative team): Not individually named in the subtitles, except as referenced by role.
• Len Sherman (Columbia Business School) — cited researcher/analyst.
• Dara Khosrowshahi — Uber CEO (quoted/paraphrased).
• Margaret — producer (books a ride with driver Levi).
• Levi — Uber driver (Syracuse, NY) featured in a ride-along example.
• Bill Lewis — Uber driver (interviewed).
• Lynn Sherman — author of analysis cited in the video (subtitles alternate between “Len” and “Lynn,” referring to the same cited academic).
• Amanda and Adam — office participants in the first quote test.
• Ren — office participant in the first quote test.
• Shannon and Abby — office participants in the JFK quote test.
• Colleagues / colleagues at Business Insider — unnamed contributors who requested rides in the tests.
• Lyft / Consumer Reports — referenced organizations (no individual spokesperson named in subtitles).
• Uber — company spokesperson responses via email (no individual named).