Tether CEO: AI-driven equity bubble fit pressure Bitcoin for 2026, but institutional flows fit bring stabilization
Tether CTO Paolo Ardoino tok say AI‑driven boom and possible crash for US equities na fit be the biggest market risk to Bitcoin for 2026 because BTC still dey follow general risk appetite. E warn say heavy AI capital spending — data centres, power and GPUs — fit change sentiment and cause equity volatility wey go spill into crypto. Ardoino talk say recent institutional adoption (pension funds, governments, funds) and growing Bitcoin ETF flows, plus lower miner sell‑pressure after halving, dey make deep 80%‑style drawdowns less likely. E mention CFTC approvals for spot Bitcoin products and rising tokenisation (via Bitfinex Securities) as positives for liquidity and institutionalisation. Ardoino highlight growth of Tether Gold (XAUT), including $150m US purchase, praise sustainable corporate Bitcoin treasuries and advise treasury teams make dem build operating businesses and use practical education and hedging. E also criticise some parts of Europe’s MiCA regulation for stifling innovation and note mining investment for Middle East as driver for more institutionalisation. Traders suppose dey watch equity volatility — especially AI sector flows — as near‑term BTC risk, but also factor in stronger institutional demand wey reduce chance of extreme historical crashes though e still fit get shorter liquidity events or macro shocks.
Neutral
Di body net effect for BTC price direction. Bad short‑term risk fit dey come from possible spillover if AI‑led equity correction happen: big capital reallocation or sharp equity sell‑off fit trigger correlated outflows from risk assets, wey go put pressure on BTC. That one make near‑term volatility and downside risk higher, especially during times wey equity stress or liquidity crunch dey. To balance am, Ardoino point out say institutional demand dey rise — pension funds, governments, funds — Bitcoin ETF flows increasing, CFTC don approve spot products, miner sell pressure don reduce after halving, plus tokenisation/liquidity don improve. These things provide stronger, more stable liquidity base wey suppose reduce probability of historical extreme crashes and support longer‑term demand. For traders: expect higher short‑term sensitivity of BTC to equity/AI sector moves (bearish risk when equities draw down), but medium‑to‑long‑term tail risk dey moderated by institutionalisation (bullish structural influence). So trading tactics suppose focus on monitoring equity/AI flows, managing liquidity and hedges for short shocks while positioning for gradual institutional‑driven demand.