Meta's AI, Muse, is experiencing faster mobile adoption than ChatGPT did during its debut, signaling the increasing integration of AI into daily life. This rapid expansion, however, reignites the debate on the urgency of robust AI governance and an approach centered on ethical AI principles.
What happened
According to recent estimates from Appfigures, Meta's AI agent, Muse, has surpassed ChatGPT's initial performance in terms of downloads and daily active users in the U.S. and Canada following its mobile launch Meta’s Muse is outpacing ChatGPT’s early mobile launch. This success indicates not only Meta's ability to capitalize on its vast user base but also a maturing market towards the adoption of generative AI tools directly on mobile devices. The phenomenon highlights a clear trend: AI is becoming increasingly pervasive and accessible, integrating into users' daily interactions at an accelerated pace.
Alongside this rapid spread, significant concerns are emerging regarding the impact and control of increasingly powerful artificial intelligence models. A recent report highlighted alarming scenarios, including the possibility that AI may have "almost started a war," underscoring the "dark reality" that emerges as AI permeates civilization Almost started a war: Report reveals dark reality as AI permeates civilisation. These revelations have been accompanied by an explicit call for greater control over the most advanced AI models, the so-called "frontier AI models," as emphasized in a statement urging deep reflection on their management A Call for Control of Frontier AI Models.
Why it matters
The rapid adoption of tools like Meta Muse, while promising innovation and greater efficiency, also raises fundamental questions about safety, ethics, and social impact. The enthusiasm for new AI capabilities risks overshadowing the need for critical reflection on potential risks. The ease with which AI can influence decisions, spread information, or even alter perceptions makes a robust regulatory and ethical framework indispensable. The experience of Ron Johnson, the architect of Apple stores, who expresses skepticism about AI in shopping, highlights how the human element remains crucial. Johnson argues that "Apple's secret sauce" has always been its people, suggesting that technology, however advanced, cannot fully replace human interaction and understanding of its nuances The man who built Apple’s stores doesn’t buy Silicon Valley’s bet on AI shopping. This perspective is particularly relevant in an era where there is debate about whether AI should be merely a tool or a substitute for human ingenuity.
The risks associated with AI are no longer theoretical. The mention of scenarios bordering on armed conflict due to AI highlights the extremely high stakes. Without clear and globally shared AI governance, the proliferation of powerful and autonomous AI systems could lead to unpredictable and harmful consequences. The race for innovation cannot ignore responsibility. It is crucial that technological development is accompanied by an adequate risk assessment and the creation of control mechanisms that ensure safety and respect for human values.
The HDAI perspective
For Human Driven AI, the acceleration in the adoption of platforms like Meta Muse confirms the direction artificial intelligence is taking, but also serves as a warning. Our vision of Human Driven AI is based on the conviction that technology must serve humanity, not the other way around. The success of an AI agent should not be measured solely in terms of downloads or active users, but also by its ability to integrate ethically and responsibly into society, improving people's lives without compromising their autonomy or collective security.
Integrating AI capabilities, especially the most advanced ones, requires a constant commitment to ethical AI and transparency. It's not just about preventing incidents, but about building a future where AI is a catalyst for equitable and sustainable progress. This is a central theme we will address at the HDAI Summit 2026 in Pompeii, where global experts will discuss how to balance innovation and responsibility, laying the groundwork for an Italy AI summit that is at the forefront not only technologically but also ethically. The speed of AI adoption necessitates a parallel acceleration in defining ethical principles and governance frameworks.
What to watch
Attention will now shift to the ability of institutions and companies to respond to these challenges. The implementation of regulations like the EU AI Act and the development of international standards for AI safety and ethics will be crucial. It will be interesting to observe how tech giants like Meta balance the drive for innovation with growing demands for responsibility and transparency, and how the global community collaborates to prevent systemic risks associated with the most advanced AI models.