The bearish case for Uber stock by 2035 centers on a fundamental threat: autonomous vehicles could eliminate Uber’s core competitive advantage of managing a massive human driver network. Under pessimistic scenarios, UBER shares could reach only $123.93 by 2035 according to StockScan’s low forecast, representing modest gains from today’s price of approximately $85-87 but significantly underperforming the broader market over a decade-long horizon. Technical indicators currently flash warning signs, with 12 sell signals against just 3 buy signals, rating the stock as a “Strong Sell.” Melius Research recently downgraded Uber to Sell with a $73 price target, explicitly warning that “AV competition is set to rise in 2026 and beyond, potentially eroding returns regardless of Uber’s partnership strategy.” The bearish thesis rests on a simple but devastating premise: Uber’s entire business model depends on compensating human drivers, which represents its primary expense. If competitors like Waymo or Tesla achieve breakthroughs in robotaxi deployment, they could undercut Uber’s pricing while maintaining higher margins.
Consider the math: a robotaxi fleet operating at scale would have no driver payouts, no tipping infrastructure, and no surge pricing negotiations. This scenario doesn’t require Uber to fail””it merely requires competitors to succeed, which would compress Uber’s margins and limit its growth trajectory through 2035. This article examines the specific factors driving bearish sentiment, from near-term technical indicators showing oversold conditions to long-term structural risks that could materially impact Uber’s competitive position. We’ll analyze the autonomous vehicle threat in detail, regulatory headwinds, profitability concerns in Uber’s delivery and freight segments, and what a realistic downside scenario looks like for investors holding through 2035.
Table of Contents
- Why Are Analysts Turning Bearish on UBER Stock for 2035?
- The Autonomous Vehicle Threat: Could Robotaxis Destroy Uber’s Business Model?
- Regulatory and Labor Risks That Could Squeeze Uber’s Margins
- Profitability Concerns: Will Delivery and Freight Ever Make Money?
- What Does StockScan’s Bearish 2035 Forecast Actually Mean for Investors?
- Comparing Bull and Bear Cases: Where Could Forecasts Go Wrong?
- Conclusion
Why Are Analysts Turning Bearish on UBER Stock for 2035?
The shift toward bearish sentiment on uber‘s long-term outlook stems from a convergence of competitive and structural factors that could fundamentally reshape the rideshare industry before 2035. Melius Research analyst Cunningham captured this concern succinctly: “Uber is very clearly the leader in global rideshare and delivery. But given that position, Uber has the most risk from increased competition.” This counterintuitive logic””that market leadership actually increases vulnerability””reflects the unique dynamics of a business model built on human labor facing potential technological disruption. Current technical analysis supports the bearish case. The Fear & Greed Index sits at 39, indicating market fear, while the RSI(14) reading of 28.54 suggests oversold conditions.
CoinCodex projects UBER shares could drop 9.69% to $76.31 by February 2026. These short-term indicators matter because they reflect institutional money flows and algorithmic trading patterns that often precede fundamental repricing. When combined with the Melius downgrade to a $73 price target””roughly 14% below current prices””the near-term picture looks challenging. The comparison between current Wall Street consensus and bearish forecasts reveals significant disagreement about Uber’s future. While 29 of 36 analysts still rate the stock Buy or Outperform with average price targets around $109-114, the low estimates from KGI Securities ($78) and Melius ($73) suggest some professionals see meaningful downside risk. This divergence typically widens when a company faces binary outcomes””in Uber’s case, whether autonomous vehicles remain a niche technology or achieve mainstream deployment by 2035.
The Autonomous Vehicle Threat: Could Robotaxis Destroy Uber’s Business Model?
Autonomous vehicle competition represents the single largest existential risk to Uber’s long-term value proposition. Waymo’s expansion and Tesla’s robotaxi ambitions could achieve breakthrough years in 2026 and beyond, potentially creating a two-tier market where human-driven rideshare services compete on price against driverless alternatives. The Melius downgrade specifically cited this concern, warning that AV competition could erode Uber’s returns “regardless of Uber’s partnership strategy”””a notable caveat suggesting that even Uber’s attempts to integrate autonomous vehicles into its platform may not fully offset the competitive threat. The economics work against Uber in a robotaxi-dominant world. Driver compensation and incentives represent Uber’s largest cost category, and this expense simply disappears for competitors operating autonomous fleets. If Waymo or Tesla can deploy robotaxis at scale with acceptable safety records, they could price rides 30-50% below Uber’s rates while maintaining healthy margins.
Uber’s response””partnering with AV companies rather than competing directly””addresses availability but not the underlying cost structure problem. A partnership means splitting economics; a competitor fleet means keeping all the margin. However, the timeline matters enormously for this bearish thesis. If autonomous vehicles remain geographically limited, regulation-constrained, or technologically challenged through 2030, Uber’s runway extends considerably. The company generated its first annual operating profit in 2023 and could accumulate substantial cash reserves during a multi-year transition period. Bears must believe not only that AVs will work but that they’ll achieve sufficient scale and geographic coverage to materially impact Uber’s global business by 2035. That’s a significant assumption, though one that looks increasingly plausible given current deployment trajectories.
Regulatory and Labor Risks That Could Squeeze Uber’s Margins
Beyond autonomous vehicles, Uber faces regulatory headwinds that could compress margins independently of competitive dynamics. Stricter gig worker classification laws represent the most immediate threat, with various jurisdictions pushing to reclassify drivers as employees rather than independent contractors. This shift would dramatically increase Uber’s labor costs through required benefits, minimum wage guarantees, and payroll taxes. California’s AB5 legislation offered a preview of this battle, though Uber successfully sponsored Proposition 22 to carve out an exception””at significant cost. The regulatory risk extends globally. European courts have ruled against gig worker classification in multiple countries, and the trend toward worker protection legislation shows no signs of reversing.
For bearish investors, this represents a one-way ratchet: regulations rarely loosen once implemented. If major markets like the UK, France, or Germany force employee classification, Uber’s cost structure would permanently increase by an estimated 20-30%, eliminating much of its recent profitability gains. The company’s 2035 outlook depends heavily on regulatory arbitrage that may not survive the next decade. International operations also expose Uber to currency risk, geopolitical instability, and market-specific regulations that don’t affect domestic competitors. In a downside scenario, Uber could face a “Europe problem” similar to what technology companies experienced with GDPR compliance””ongoing costs that disproportionately burden global operators while creating advantages for local alternatives. These risks don’t appear in most analyst models but could materially impact the path to 2035 price targets.
Profitability Concerns: Will Delivery and Freight Ever Make Money?
Uber’s diversification into food delivery and freight logistics was intended to reduce dependence on rideshare and create new growth vectors. Under a bearish scenario, these segments instead become profit drains that limit the company’s ability to invest in core technology and compete with well-funded AV competitors. Some analysts warn that profits could peak in 2024-2025, followed by a growth slowdown as delivery subsidies prove difficult to eliminate and freight operations fail to achieve scale economics. The delivery business faces structural challenges that differ from rideshare. Restaurant margins are thin, consumer price sensitivity is high, and competition from DoorDash, Grubhub, and regional players prevents pricing power. Uber Eats has improved operationally but still operates with lower margins than the rides business.
In a recessionary environment, food delivery represents a discretionary expense that consumers cut quickly. The segment that was supposed to provide counter-cyclical balance to rideshare may instead amplify downturns. Freight presents similar concerns. Uber Freight launched with ambitions to digitize trucking logistics, but the freight brokerage business proved more competitive and lower-margin than anticipated. Multiple tech-enabled freight startups have struggled or failed, suggesting the sector may resist the platform dynamics that worked for rideshare. For bears, these diversification efforts represent management distraction and capital allocation mistakes rather than value-creating initiatives. Every dollar invested in freight is a dollar not spent defending the core rideshare business against autonomous competitors.
What Does StockScan’s Bearish 2035 Forecast Actually Mean for Investors?
StockScan’s bearish estimate of $123.93 for UBER by 2035 deserves careful interpretation. This projection represents approximately 45% upside from current prices around $85″”meaningful nominal gains that nonetheless would significantly underperform historical market returns over a decade. An investor buying Uber today at $85 and selling at $124 in 2035 would achieve roughly 4% compound annual returns, well below the S&P 500’s historical average of 10% annually. Opportunity cost matters for long-term holdings. The spread between StockScan’s low estimate ($123.93) and high estimate ($138.30) appears remarkably narrow for a decade-long forecast, suggesting the model may underestimate potential volatility. Compare this to Uber’s recent trading range: the stock hit an all-time high of $100.10 in October 2025 before declining to current levels, representing 15% drawdown in just months. Extrapolating narrow price bands a decade forward ignores the fundamental uncertainty around autonomous vehicles, regulation, and competitive dynamics. For investors evaluating the bearish case, the question isn’t whether $124 by 2035 is “right” but rather what probability distribution surrounds that estimate. If autonomous vehicles succeed at scale, Uber could be worth substantially less””potentially facing structural decline rather than modest growth. If AVs disappoint and Uber successfully defends its market position, the stock could significantly outperform bearish estimates. The bearish forecast represents one node on a probability tree, not a deterministic outcome.
## Near-Term Technical Indicators: What the Charts Are Saying Current technical analysis reinforces bearish sentiment with multiple indicators flashing caution. The RSI(14) reading of 28.54 indicates oversold conditions””a level that sometimes precedes bounces but can also signal the beginning of extended downtrends when fundamental catalysts are negative. The Fear & Greed Index at 39 shows market participants leaning defensive, while the preponderance of sell signals (12) over buy signals (3) suggests technical traders see further downside. The stock’s position relative to recent highs tells its own story. Trading at $85-87 against a 52-week high of $101.99 and all-time high of $100.10, Uber has given back significant gains. The 52-week low of $60.63 remains well below current prices, offering perspective on potential downside in a risk-off environment. CoinCodex’s projection of $76.31 by mid-February 2026 would represent another 10% decline, testing investor patience and potentially triggering stop-losses that accelerate selling. However, technical indicators have limitations for long-term forecasting. The same oversold readings that suggest near-term weakness can mark attractive entry points for patient investors. The bearish technical picture describes current momentum, not 2035 fundamentals. Investors should distinguish between trading signals and investment theses””the former measures sentiment, the latter measures business value.
Comparing Bull and Bear Cases: Where Could Forecasts Go Wrong?
The bearish case for Uber stock rests on assumptions that may not materialize. Autonomous vehicle deployment has consistently missed optimistic timelines””full self-driving has been “two years away” for over a decade. Regulatory approval for robotaxis faces significant hurdles, and liability frameworks remain unresolved. If AVs disappoint through 2030, Uber’s competitive position strengthens rather than weakens, and bearish forecasts would prove overly pessimistic.
Similarly, the regulatory risk around gig worker classification assumes continued legislative pressure without considering political backlash. Drivers themselves often oppose employee classification because it eliminates schedule flexibility””the primary benefit of gig work. Uber has demonstrated political sophistication in navigating these challenges, spending heavily on lobbying and ballot initiatives. The company may successfully defend its contractor model longer than bears expect.
Conclusion
The bearish case for Uber stock through 2035 centers on autonomous vehicle competition that could eliminate the company’s primary competitive advantage: managing human drivers at scale. StockScan’s low forecast of $123.93 represents modest nominal gains that would underperform broader markets, while technical indicators currently show strong sell signals and oversold conditions. The Melius downgrade to $73 with explicit warnings about AV competition adds institutional credibility to bearish concerns that many retail investors may be ignoring.
Investors evaluating Uber for long-term holdings should weigh these risks against the company’s market leadership, improving profitability, and first-mover advantages in multiple geographies. The bearish thesis requires believing that autonomous vehicles will achieve commercial viability at scale within the forecast period””a significant assumption but one that looks increasingly reasonable. Position sizing, diversification, and clear understanding of downside scenarios should guide any investment decision for a stock facing potential technological disruption of this magnitude.