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SocialFi has been a hot topic in recent years, but honestly, it's pretty much cooled down now. Interestingly, exchanges and new trading frontends are secretly developing social features, and it seems like this path might really be the right one.
Tykoo, director of investment firm Paramita, recently shared a view that AI is changing the competitive barriers of trading products. By 2026, the most promising track might actually be the "integration of social trading and prediction markets." From Base App to GMGN, new social layers are rewriting the way trading is done.
Why did SocialFi die, but social features become the new moat for exchanges?
Tykoo pointed out the key issue: the failure of SocialFi lies in forcing financial elements into social platforms, which is the wrong logic. The successful approach is actually the opposite—embedding social genes into trading products.
Look at GMGN's group formation feature, Pump.fun's live interaction, Hyperliquid's copy trading and competitions, Polymarket's comment section—these platforms share a common point: they are fundamentally trading tools, but they actively create sticky social ecosystems. Why design it this way?
First, to expand network effects. Now that AI can quickly replicate any product, social networks, content accumulation, and real trading records become the hardest-to-copy moats. Second, to compete for attention. The significance of social features for trading platforms is not just to retain users but also to turn trading decisions into community events through real trading sharing and interactions.
What does this path mean for exchanges? Simply put, whoever can embed social features into the trading process will have the advantage in the 2026 competition.