Google's AI to tackle your email inbox
Physical AI is ‘going to be massive’
Google’s AI to tackle your email inbox
LinkedIn AI-powered job and people search
Physical AI is ‘going to be massive’
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Google’s AI to tackle your email inbox
New Year, new Gmail. Google announced on Thursday that it is further integrating Gemini 3 into its email service and its more than 3 billion users. The expanded features, which include AI summarization and writing tools, come as Google responds to users wanting more personalized AI experiences.
“We recently surveyed our users and found that 85% of them think that AI in Gmail is most helpful when it leverages their content to generate tailored responses,” Gmail’s Head of Product, VP Blake Barnes, told reporters in a conference call on Wednesday. “They don’t want a generic assistant.” A December poll by Google Workspace and The Harris Poll found that 92% of knowledge workers ages 22-39 want AI with personalization. As part of the rollout, an AI Overview tool similar to the one found on Google Search will summarize email threads. Paid users will be able to ask their inboxes and receive an AI Overview.
The biggest update is to how Gemini will assist users with writing and replying to messages. The “Help Me Write” tool, previously available as a paid service on Gmail, can draft emails from a single prompt. According to internal company data, 70% of enterprise users who use “Help Me Write” in Google Docs or Gmail took Gemini’s suggestion.
“AI securely analyzes your past emails. It understands your writing style, the typical greetings you have, the sign-offs, and also what’s going on in your life to generate the suggested response that’s really personalized to you,” Barnes said. Next month, the Help Me Write tool will be updated to include information from users’ other Google apps.
The existing “Smart Replies” feature, now called “Suggested Replies,” can write responses that better match a user’s tone and style. While both of these features are free to all, the AI-powered proofreading tool that addresses word choice, concision and active voice is only available to Google AI Pro and Ultra subscribers. Test thoroughly before switching emails....
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LinkedIn AI-powered job and people search
LinkedIn’s AI-powered job search feature is expanding to new audiences. The tool—which lets job seekers find relevant open positions without needing to exactly match keywords in the job title or description—will soon be available to all LinkedIn members using the site in English. AI-powered job search is already used by 1.3 million people daily, with more than 25 million job searches conducted via the tool every week. And initial data indicates that job seekers without a four-year college degree who use the tool are 10% more likely to get hired than before, according to the company.
“This is a really meaningful shift, because our vision is economic opportunity for every member of the global workforce,” says Rohan Rajiv, senior director of product management and product lead for job search at LinkedIn. “We know that in the past, if you were a line cook or a taco chef, it wasn’t that easy to find those jobs on LinkedIn.”
The AI search tool even lets users specify general properties of a job, like saying “I want to protect the world’s oceans,” and find relevant listings, he says. That’s a result of careful, iterative development of a large language model-powered system that can parse job titles, descriptions and other data, understanding the nuances of how listings may vary by location and industry. One job listing may refer to “partnerships,” while another listing for a similar position refers to “business development” work, for example. And the AI is able to deliver both listings to potential applicants without them needing to search for a specific keyword.
“Compared to traditional keyword searches, it felt more intuitive and less mechanical,” writes Anderson Cheng, who recently found a job at the Los Angeles County Affordable Housing Solutions Agency via the tool, in an email to Fast Company. “The biggest surprise was how well it surfaced roles I might have skipped over based on title alone, but that were actually a strong fit once I reviewed the description more closely.”
The AI is carefully designed to be speedy, so users don’t have to wait long for results, as well as accurate and internally cost effective, Rajiv says. The results are created in part by LinkedIn staff evaluating them using a second LLM-powered system, then providing the core AI with additional examples in areas where it underperforms. Using AI to evaluate results lets the company check a broader sample than they could practically look at by hand.
Another recently released AI feature, known as AI-powered people search, helps users find potential connections based on plain language criteria, like “investors with FDA experience for a biotech startup” or “Northwestern alumni who work in entertainment marketing,” rather than simply looking people up by name and employer. While job description language have historically sometimes been an afterthought, providing clear detail about what a position entails helps ensure it shows up in AI-powered searches, says Rajiv. “We are moving away from a world focused on keywords to a world where you need to say things as they are,” he says....
Read the original on Fast Company
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Physical AI is ‘going to be massive’
Artificial intelligence is stepping out of the virtual world and into the real one — and that shift is called physical AI. What does that mean? Instead of working only on computers or digital data, it enables machines to sense, think, and act in the real world. Physical AI was a key topic of discussion during a Fortune Brainstorm Tech dinner on Monday at Consumer Electronics Show 2026 in Las Vegas.
Qualcomm(5G) President and CEO Cristiano Amon. “It’s going to be massive,” Amon said. Physical AI is grounded in real-time sensor data. “You train on things that you see, things that you sense, things that you do,” he explained. This enables robots and self-driving cars, for example, to handle complex tasks, adapt to changing environments, and make split-second decisions while moving and interacting with the world around them.
Physical AI is emerging in automotive, Amon continued. When you think about assisted driving and autonomous driving, that’s a physical AI problem, he explained. You have sensors and cameras observing everything around you and telling the car where to go and when, he said. Qualcomm has transformed into a major automotive technology provider, positioning itself as a key player in the industry’s shift toward “software-defined vehicles.”
“The same thing that made Qualcomm successful in automotive will make us successful in robotics,” Amon said. The conversation around physical AI, he added, naturally extends to robotics—and he believes its impact will go far beyond humanoid robots. At CES, Qualcomm announced a full suite of robotics technologies.
A 2026 tech trends report by Deloitte explores how AI and robotics are converging. “Robots powered by physical AI are no longer confined to research labs or factory floors,” the report states. “They’re inspecting power grids, assisting in surgery, navigating city streets, and working alongside humans in warehouses.”….