Bitcoin Expected to Hit $85,000 as Institutional Buyers Drive Momentum, AI Agents Set to Revolutionize Trading

Bitget, a leading cryptocurrency exchange and Web3 company, forecasts Bitcoin will reach $85,000 after recently touching $80,000, driven by strong institutional demand for Bitcoin ETFs. Grace Chen, CEO of Bitget, revealed that positive capital inflows exceed $400 million daily and $1 billion weekly through Bitcoin ETF purchases since January.

Market indicators show CME Bitcoin Futures open interest has fallen to approximately $8.4 billion, the lowest in 14 months, suggesting reduced leveraged speculation and strengthening genuine buying demand. The Fear & Greed Index has improved from extreme fear levels of 25-30 in mid-April to 50-60 this week, the highest in three months, indicating growing market confidence.

"With institutional investor support and improving sentiment, we expect Bitcoin to reach $85,000 and Ethereum to touch $3,000," Chen stated.

Bitcoin's recovery has also benefited from strength in U.S. equity markets, with the S&P 500 up 5.7% year-to-date, though gains are concentrated in just 10 stocks led by chip and AI infrastructure companies like NVIDIA, AMD, and Broadcom, representing nearly 45% of the index.

The growth trajectory of AI technology is interconnected with blockchain expansion, as AI agents capable of autonomous analysis and decision-making increasingly influence investment markets—from executing trades to analyzing market data and monitoring portfolios. Chen expects AI agents will replace hedge fund traders by 2028, while over 70% of global spot crypto trading is already automated.

Bitget has developed a comprehensive AI Agent Stack including GetClaw for automated order execution, GetAgent for market analysis and decision support, Gracy AI for strategic recommendations, and Agent Hub infrastructure for developers. "We believe 125 million retail investors worldwide should have access to the same investment tools as Wall Street institutions, so we've built these AI tools to help them survive in the market and democratize access to AI technology," Chen concluded.