Apple has teamed up with Google in a multi-year deal to power its next-generation Siri with Gemini models. This collaboration brings advanced generative AI to Apple’s assistant. The update focuses on making Siri handle natural language better. Users can expect smarter responses that understand context from past interactions. Siri will integrate more deeply with apps for tasks like booking or editing files without switching programs. Apple chose Gemini after testing options because it offers strong multimodal features and reasoning. The partnership runs on Apple’s Private Cloud Compute to keep data private. Reports point to an announcement in the second half of February 2026. Developers may get early access through an iOS beta soon after. This move helps Apple close the gap on AI features it promised earlier.
The revamped Siri could change how people use their phones every day. Instead of short commands, users might talk to Siri like a helpful colleague. It supports typing or voice for quick replies. Gemini adds real-time processing for faster help on the go. With billions of Apple devices in use, this deal gives Google wide reach while Apple gains cutting-edge tech without building everything alone. Early demos will show if the assistant lives up to the hype for practical tasks.
OpenAI has started testing ads inside ChatGPT for free users. These sponsored spots show at the bottom of answers when they fit the query. The company says ads do not alter the main response quality. This step brings in revenue to cover the high costs of running large models and data centers. OpenAI faces pressure to turn profits while rivals advance. At the same time, the company explores ways to expand access and keep improving the tool.
Meta plans to spend between $115 billion and $135 billion this year on capital projects. Much of that money goes toward AI systems and hardware. The focus includes agentic AI that manages complex jobs on its own. Meta sees gains in ad targeting and recommendations from current AI work. Investors like the direction even with big costs upfront. This trend matches heavy spending by Microsoft and others on cloud and chips. Overall industry outlays for AI infrastructure could hit around $500 billion in 2026.
Job effects from AI spark debate. A recent survey shows nearly 80 percent of Gen Z think AI makes colleagues lazier. About 62 percent worry it hurts smart thinking and problem-solving. Yet the same group uses AI tools more than before. Many adopt them even if company rules limit access. Executives point to speed and output gains. But reworking AI results often cuts into those benefits. This gap shows tension between promise and real-world use. Infrastructure growth creates engineering jobs while routine tasks face automation.
The balance comes down to training and rules. Companies that guide workers on AI tend to see better results. Younger users lead adoption but hold doubts about long-term skill loss. As tools like the upgraded Siri roll out, they could help daily work or speed up replacement of simple roles.
Olivia
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