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How are institutions and celebrities predicting Bitcoin prices in 2026?
The table below shows the price predictions for Bitcoin by relevant institutions and prominent figures at the end of 2025. All information was collected from publicly available online sources.
Optimistic views are primarily based on the Federal Reserve's interest rate cuts, increased institutional allocation, and structural buying driven by spot ETFs, with targets mostly concentrated between $150,000 and $250,000. Cautious and bearish views emphasize that slowing demand, macroeconomic tightening, or technical structural disruption could trigger a deep pullback, with scenarios potentially leading to declines to $70,000, $56,000, $25,000, or even $10,000.
Some of these institutions' and celebrities' past predictions were very close to Bitcoin's price performance, while others were quite far off. Therefore, please consider these predictions objectively in conjunction with more information.
In summary, Bitcoin's price performance in 2026 will primarily be driven by the implementation of the US National Bitcoin Strategic Reserve policy and the macro liquidity resulting from global monetary easing. Meanwhile, the market's cyclical recovery demand following the significant correction in 2025, the continued allocation of institutional funds, and global geopolitical and inflationary pressures will also be key variables influencing its price trend.
| Institutions and Celebrities | Introductions | Bitcoin target price in 2026 | Attitude |
|---|---|---|---|
| Charles Hoskinson | Cardano founder | $250,000 | Very optimistic |
| Robert Kiyosaki | Rich Dad, Poor Dad author | $250,000 | Very optimistic |
| Galaxy Digital | Crypto asset management company | $250,000 | Very optimistic |
| Arthur Hayes | BitMEX co-founder | $200,000+ | Very optimistic |
| Brad Garlinghouse | Ripple CEO | $180,000 | Very optimistic |
| VanEck | Investment companies specializing in ETFs | $180,000 | Very optimistic |
| JPMorgan | A leading global financial services group | $170,000 | Very optimistic |
| Tom Lee | Fundstrat founder | $150,000–$200,000 | Very optimistic |
| Standard Chartered Bank | British International Commercial Bank | $150,000 | Optimistic |
| Bernstein Research | Wall Street investment banks | $150,000 | Optimistic |
| Bitwise | Crypto asset management company | $150,000 | Optimistic |
| Citigroup | Global financial services group | $143,000 | Optimistic |
| Grayscale | The world's largest crypto asset management company | Breaking all-time high | Optimistic |
| Jurrien Timmer | Fidelity Director of Global Macro | $75,000 | Pessimistic |
| CryptoQuant | On-chain data analytics platform | $56,000～$70,000 | Pessimistic |
| Peter Brandt | Legendary trader with over 40 years of experience | $25,000 | Very Pessimistic |
| Mike McGlone | Senior Commodity Strategist at Bloomberg Intelligence | $10,000 | Very Pessimistic |
What will the price of $GAME be in 2027?
In 2027, based on a +5% annual growth rate forecast, the price of G.A.M.E($GAME) is expected to reach $0.00; based on the predicted price for this year, the cumulative return on investment of investing and holding G.A.M.E until the end of 2027 will reach +5%. For more details, check out the G.A.M.E price predictions for 2026, 2027, 2030-2050.What will the price of $GAME be in 2030?
About G.A.M.E ($GAME)
What Is G.A.M.E?
G.A.M.E, or Generative Autonomous Multimodal Entities, is a framework designed to enable AI agents to operate autonomously across various digital platforms. Developed as part of the Virtuals Protocol, G.A.M.E allows AI agents to not only interact with users but also to learn and adapt from each interaction, becoming more sophisticated over time. These agents are intended to function in sectors such as gaming, entertainment, and social media, providing users with personalized experiences and content.
The G.A.M.E system operates within a blockchain-based environment, facilitating decentralized co-ownership of these AI agents. Through the integration of blockchain, G.A.M.E enables these agents to be tokenized, creating opportunities for users and investors to own and govern AI agents while also benefiting from their revenue generation potential.
How G.A.M.E Works
The G.A.M.E framework comprises several key components that support the autonomous functioning and continuous learning of AI agents. The process begins with the Agent Prompting Interface, which handles user inputs and directs them to the Strategic Planning Engine. This engine, working alongside the Dialogue Processing Module and an On-chain Wallet Operator, generates responses and actions based on the context of the interaction.
One of the defining features of G.A.M.E is its Long-Term Memory Processor. This system records information from previous interactions, such as user inputs, agent experiences, and reflections. By using this memory, the AI agent can make more informed decisions in future engagements, allowing for improved performance and more tailored responses.
The G.A.M.E framework also includes a feedback loop where the outcomes of the AI agent’s actions are continuously evaluated. This allows the agent to refine its knowledge, adapt its behavior, and improve its strategic planning over time. This system ensures that G.A.M.E agents can operate autonomously while providing dynamic and evolving user experiences.
What Is the Game Token Used For?
The GAME token plays a crucial role in the G.A.M.E ecosystem, enabling decentralized governance and revenue sharing. Token holders can influence decisions regarding the AI agent’s development, behavior, and future enhancements. Additionally, a portion of the revenue generated by the AI agent is shared with token holders, offering financial returns based on the agent’s success.
The protocol also incorporates a buyback-and-burn mechanism, where revenue is used to repurchase and burn GAME tokens, reducing the total supply. This process is designed to support token value appreciation over time, aligning the interests of token holders with the performance of the AI agent.
Conclusion
In conclusion, G.A.M.E enables AI agents to autonomously operate and learn across platforms, offering personalized user experiences. Integrated with blockchain, it allows decentralized co-ownership and governance, providing both governance rights and financial returns through the GAME token. This framework supports continuous agent improvement and aligns user interests with the agent’s success.
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