Futures
Access hundreds of perpetual contracts
TradFi
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Launchpad
Be early to the next big token project
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Autonomous vehicle deployment is shaping up to be a major shift in transportation economics. Industry analysts project a significant scaling trajectory: robotaxi fleets could reach 1,000 active vehicles within the next couple of years, with expansion accelerating through the late 2020s. The longer-term vision? By 2035, we're looking at potentially 1 million autonomous taxis operating across multiple metropolitan areas simultaneously.
This kind of infrastructure buildout mirrors patterns we see in other emerging tech spaces—early adoption concentrated in specific cities, then rapid geographic expansion as operational models mature and regulatory frameworks align. The economics get interesting too: as fleet size scales, per-unit costs drop, deployment becomes more profitable, and the velocity of expansion tends to accelerate.
What makes this relevant to the broader tech ecosystem is the capital allocation signal. We're watching massive institutional conviction flow into autonomous systems, similar to how Web3 projects are tracking adoption metrics and ecosystem maturation timelines.
From a data perspective, this S-curve theory is fine, but the implementation complexity has been underestimated.
The adoption curve for Web3 projects is much more optimistic; the risks here are quite significant.
This wave of capital influx is somewhat similar to the pace in 2017, both are driven by indicators rather than fundamentals.
The cost reduction logic makes sense, but what about city restrictions? Full coverage is impossible.
One million units by 2035? Need to clarify—are we talking about globally or just the US? The baseline difference is huge.
It seems that compared to autonomous driving, whoever raises funds faster wins—it's all about how capital bets.
One million vehicles by 2035? I doubt it; regulatory hurdles will likely block that.
This logic is the same as Web3 back in the day—talk about scale first, then see who survives.
Cost reduction = profit increase. I’ve memorized this economics principle already, haha.
However, if institutional money really comes in, there’s still short-term speculation potential.