How many cities will Waymo operate in by December 31?

According to the latest prediction market data for the query “How many cities will Waymo operate in by December 31?”, traders have formed a strong consensus.

Currently, 16-19 is dominating the market with an overwhelming 43.5% chance of winning. 12-15 follows in second place at 21.9%, while 20-23 sits in third with 13%. The betting volume for this specific market has already reached $46.1K, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• 16-19 (43.5%): Currently commanding the highest probability, 16-19 is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 44¢, signaling a high degree of market conviction. This contract alone has generated $7.9K in volume.

🥈 Tier 2: The Primary Challengers

• 12-15 (21.9%): Positioned as the most viable alternative, 12-15 maintains a 21.9% chance of resolving true. Its “Buy Yes” shares currently trade at 22¢.
• 20-23 (13%): Sitting in third place with a 13% probability, the market shows measured skepticism toward 20-23, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~21.7%)

Beyond the top three choices, a wide field of macro variables and long-shot outcomes are being tracked. While their individual probabilities hover low, they represent crucial hedges for speculative traders:

• Alternative Options: This includes 24-27 (11.5%), 32+ (6%), and <12 (4.3%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like 28-31 are still attracting notable interest.

This market will resolve according to the number of distinct cities in which Waymo’s ride-hailing service is publicly available, either through the Waymo One app or a partner platform such as Uber, as of December 31, 2026, at 11:59 PM ET.

A city counts if riders can book a Waymo vehicle through either the Waymo One app or the Uber app at that time. Any taxi service available to the general public which operates without a human driver actively controlling the vehicle will count, regardless of membership or other financial restrictions. Limited pilot programs, internal employee testing, or invite-only service will not qualify.

If Waymo describes a broader region (e.g., “Los Angeles County” or “San Francisco Bay Area”) as a single service area, it will count as one city/region for this market.

The primary resolution source is official information from Waymo (see: https://waymo.com/rides/c), however a consensus of credible reporting may also be used.

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome 16-19 currently trades at 43.5%, but our AI places its Fair Value at just 23.5%. This creates a large negative EV Gap of -20%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies 28-31 as the premium value opportunity on the board. While the market only assigns it a 2.9% trading probability, our AI’s Fair Value assessment sits at 5.8% — yielding an impressive +2.9% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include 32+ (EV Gap: +0.1%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.