Personal AI agents are transitioning from hype-laden concept to practical consumer tools, with Meta's Muse leading a wave of products designed to automate everyday tasks. The shift reflects a broader maturation in the AI market, where consumers are increasingly ready to delegate routine work rather than simply chat with chatbots. This movement addresses what has long been the missing link in consumer AI adoption: tangible productivity gains that justify daily usage. The surge in consumer excitement around personal agents comes as the AI market faces headwinds from rising interest rates threatening the broader AI boom's financing. Concurrent developments underscore the sector's complexity: OpenAI is expanding safety disclosures in response to regulatory scrutiny, while Apple is quietly exploring dedicated AI server infrastructure—signals that the competitive landscape is shifting from model development to deployment and responsible scaling. Market observers point to a key inflection: after years of chatbot-driven engagement that plateaued, AI companies have finally cracked the code on task delegation. Meta's Muse and similar tools represent a second wave of consumer AI, one focused on doing rather than discussing. Whether this enthusiasm translates to sustained adoption will depend on whether these agents deliver on efficiency promises while addressing emerging concerns about safety and transparency.