Donald and Melania Trump Roll out 'Winning' $TRUMP and $MELANIA Crypto Ahead of Inauguration
This past weekend, U.S. President Donald Trump and First Lady-elect Melania Trump debuted their respective cryptocurrencies, $TRUMP and $MELANIA. Both coin launches, timed strategically ahead of Trump’s inauguration, marked a splashy celebration of their return to Washington.
Donald Trump’s $TRUMP coin, framed as a celebratory token of 'WINNING' according to his own social media posts, demonstrated the volatile nature of meme coins. Hosted on the Solana blockchain, $TRUMP witnessed a meteoric rise, surging over 300% in mere hours, reaching a peak market cap of $15 billion before stabilising at $9 billion.
The coin’s supply has been capped at 200 million tokens for now, with plans to expand to 1 billion over three years, which may introduce inflationary pressures and temper future valuation spikes.
Meanwhile, Melania Trump’s $MELANIA coin, though quieter in its rollout, reached a market cap of $1.3 billion. The pair of launches highlight how the Trumps, often attuned to public attention and brand-building, are masterfully leveraging blockchain technology to remain central in the cultural and Web3 crypto spaces.
Donald Trump's meme coin is available for purchase on the GetTrumpMemes website, and for trading on major stock and crypto exchanges such as Robinhood, Bitget, CEX.IO, and Solana-based decentralised exchanges such as Raydium.
Donald Trump once denounced digital assets as scams, but he had since embraced crypto by accepting Bitcoin donations for his campaign, declared a Bitcoin stockpile in national reserves, and promised a conducive regulatory environment for crypto businesses.
State of Blockchain Gaming in 2025: A Report by Blockchain Game Alliance (BGA)
The Blockchain Game Alliance (BGA) has released its annual report on the state of blockchain Web3 gaming. Built on insights from over 450 members, including gaming studios, venture capital firms, and blockchain protocols, the report provides a thought-provoking glimpse into where Web3 gaming is headed in 2025.
1. Infrastructure Consolidation
The BGA predicts that the current surge in infrastructure development across the blockchain gaming space will lead to oversaturation, necessitating consolidation for a more unified user experience. Developers will steer away from disparate tools in favor of unified, interoperable ecosystems.
2. Seamless Web3 Integration, AI Personalisation
The focus is shifting towards seamless Web3 AI integration, where both Web3 and crypto elements operate discreetly in the background to result in a frictionless user experience.
BGA predicts a surge in adoption as blockchain elements like tokenised assets, decentralised ownership, and play-to-earn mechanics blend seamlessly into mainstream games.
Additionally, the incorporation of AI-driven personalisation tools in Web3 will greatly elevate user engagement in AAA titles by tailoring in-game experiences to individual players’ preferences
3. Enhanced Interoperability and Gaming Guilds
Interoperability will extend beyond asset transfers, allowing players to carry achievements, skills, and reputations across various platforms.
This move not only incentivises players to invest in digital goods, but also fosters interconnected gaming ecosystems. Furthermore, gaming guilds—allowing collective ownership and shared in-game rewards—are also gaining traction.
Metropolis Rising: A New Hub for AI Agents
In a groundbreaking move for the AI agent landscape, the Metropolis protocol is set to launch this spring, promising a dedicated ecosystem for these autonomous AI agent programs to interact and flourish. Developed by Saga in collaboration with ai16z, Virtuals, and Wayfinder, Metropolis will enable AI agents from various protocols to communicate and collaborate seamlessly.
The key innovation lies in the creation of 'chainlets' – small, purpose-built blockchains hosted on Saga's infrastructure, with Web3 AI integrations. These chainlets offer a dedicated environment for AI agent interactions, ensuring predictable transaction fees and fostering composability.
"Metropolis is specifically designed for AI agents," says Saga CEO Rebecca Liao, emphasising its unique functionality in enabling cross-agent communication. This marks a significant step towards a more interconnected and collaborative future for AI agents in blockchain development.
LangChain's AI Agent Report: Insights and Trends
LangChain, a platform known for simplifying the creation of AI applications, has published its 'State of AI Agents' report based on a survey of over 1,300 professionals.
The report provides valuable insights into the current adoption, use cases, and challenges associated with AI agents.
Summary of Key Findings:
- Adoption rate: While AI agents are rapidly gaining popularity, only about 51% of respondents currently use them in production. Larger companies (100 to 2,000 employees) demonstrate a more aggressive adoption rate, with 63% using or planning to use AI agents in production.
- Top use cases: The primary use cases for AI agents include research and summarisation (58%), personal assistance/productivity tasks (53.5%), and customer service (45.1%)
- Controls and permissions: Companies prioritise tracing/observability tools (48%) and guardrails (43%) to monitor and control AI agent behavior. Most respondents (43%) prefer a 'read and write/delete with human approval' approach for AI agent actions.
- Challenges: Ensuring performance quality (26%) and addressing safety concerns (21%) are significant challenges in deploying AI agents
- Emerging trends: Multi-agent orchestration, allowing multiple agents to collaborate on complex tasks, is gaining traction
- Top applications: Cursor, an AI-powered code generation tool, and Perplexity, a conversational search engine, are recognised as leading AI agent applications
Overall, the report highlights a clear, growing momentum of AI agents across various industries, while also acknowledging the challenges and concerns associated with their adoption.
aelf is a layer 1 blockchain integrating AI throughout its ecosystem. This Web3 AI integration optimises network performance while improving the overall experience for individual users and software developers.
Recently, it launched aevatar Intelligence, a codeless, cross-chain, multi-agent framework that gives users free reign to build and customise their own AI agents across a myriad of task types. aevatar is powered by leading large language models (LLM) in the industry, such as OpenAI's ChatGPT, Google's Gemini, and Claude.
Get a sneak peek at the all-new aevatar Intelligence and pioneer AI agenting in your lives and communities.
*Disclaimer: The information provided on this blog does not constitute investment advice, financial advice, trading advice, or any other form of professional advice. aelf makes no guarantees or warranties about the accuracy, completeness, or timeliness of the information on this blog. You should not make any investment decisions based solely on the information provided on this blog. You should always consult with a qualified financial or legal advisor before making any investment decisions.
About aelf
aelf, an AI-enhanced Layer 1 blockchain network, leverages the robust C# programming language for efficiency and scalability across its sophisticated multi-layered architecture. Founded in 2017 with its global hub in Singapore, aelf is a pioneer in the industry, leading Asia in evolving blockchain with state-of-the-art AI integration to ensure an efficient, low-cost, and highly secure platform that is both developer and end-user friendly. Aligned with its progressive vision, aelf is committed to fostering innovation within its ecosystem and advancing Web3 and AI technology adoption.
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