Gemini to Replace Google Assistant on Phones, TVs, and More

✨TodayOnAI’s Daily Drop

• Gemini to Replace Google Assistant on Phones, TVs, and More

• Everyone’s Talking About AI Agents—But No One Agrees What They Are

• SoftBank to Build $676M AI Data Center in Japan, Deepens OpenAI Ties

• 💬 Let’s Fix This Prompt

• 🧰 Today’s AI Toolbox Pick

Google

Gemini to Replace Google Assistant on Phones, TVs, and More

🚀 TodayOnAI Insight: Google is phasing out Google Assistant across Android and connected devices, replacing it with its more advanced Gemini AI. The transition begins now and will accelerate throughout 2024, marking a major shift in Google’s AI strategy.

🔍 Key Takeaways:

• Gemini will fully replace Google Assistant on Android phones, tablets, wearables, cars, and smart home devices later this year.

• Assistant will be removed from app stores and most mobile devices as the upgrade rolls out.

• Gemini gains key Assistant features, including media controls, timers, and lock screen actions—responding to user feedback.

• Pixel 9 launched with Gemini by default, signaling this broader pivot.

• New Gemini experiences are coming to TVs, smart displays, and speakers, extending its reach beyond mobile.

💡 Why This Stands Out: This transition signals Google’s commitment to consolidating its AI efforts under Gemini, betting on generative AI as the next interface layer. By sunsetting Assistant, Google is positioning Gemini not just as a chatbot, but as the foundation for how users interact with devices across its ecosystem. Will users embrace the shift—or miss the simplicity of Assistant?

AI Agent

Everyone’s Talking About AI Agents—But No One Agrees What They Are

🚀 TodayOnAI Insight: AI “agents” are Silicon Valley’s next big thing—but no one agrees on what they actually are. From OpenAI and Microsoft to Salesforce and Google, companies are racing to define and deliver agentic experiences, yet the term is becoming increasingly vague and inconsistent.

🔍 Key Takeaways:

• Top tech CEOs are bullish on AI agents, touting them as transformative digital labor that will reshape knowledge work.

• Definitions vary wildly: OpenAI, Microsoft, Salesforce, and others use “agent” to describe everything from simple workflows to autonomous systems.

• Confusion is growing as companies launch divergent agent products—like OpenAI’s Operator and Google’s Project Mariner—with little clarity on capabilities or scope.

• Marketing hype is muddying the term, diluting its original technical meaning and leading to misaligned customer expectations.

• Industry leaders warn of challenges in benchmarking and ROI without a shared definition, despite the creative flexibility.

💡 Why This Stands Out: The term “AI agent” risks becoming as nebulous as “AI” itself—used broadly, understood narrowly, and marketed aggressively. This definitional drift threatens clarity just as enterprises begin investing heavily in agentic systems. Can the industry deliver value before the buzzword collapses under its own weight?

SoftBank

SoftBank to Build $676M AI Data Center in Japan, Deepens OpenAI Ties

🚀 TodayOnAI Insight: SoftBank is investing $676 million to transform a former Sharp LCD plant into a major AI data center in Osaka, signaling its deepening push into generative AI—and tightening ties with OpenAI in Japan.

🔍 Key Takeaways:

• SoftBank is acquiring Sharp’s Sakai Plant—land and buildings included—for conversion into an AI data center, expected to launch in 2026.

• The site will support up to 240 MW of power, enabling large-scale model training and AI services.

• This is SoftBank’s third data center in Japan, following facilities in Tokyo and Hokkaido.

• Joint venture SB OpenAI Japan will use the center to fine-tune OpenAI models on local enterprise data, selling customized AI agents to clients.

• SoftBank may invest up to $25B in OpenAI, according to reports, though the deal is not yet finalized.

💡 Why This Stands Out: SoftBank isn’t just a backer of AI—it’s becoming a builder. This aggressive infrastructure move positions Japan as a more self-reliant AI hub, amid rising demand for regional model customization. As U.S. AI firms expand abroad, will domestic infrastructure become a new competitive edge?

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