Beaten Down Tech Names You Should Watch After Serious Buying Interest

Today's movers share one trait: they have all been written off. Yet a founder CEO put millions of his own cash to work, institutions loaded up on a stalled networking name, and buyers returned to two more sectors the Street stopped watching months ago.

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Agentic AI

Google Maps Learns to Book, Order, and Plan

Alphabet (NASDAQ: GOOGL) is adding agentic tools to Google Maps that can help users order food, find hotels, and locate event tickets. Ask Maps can search nearby options, compare choices, and move users directly toward checkout or booking.

Food orders can be prepared through services such as Square, Toast, and Uber Eats. Hotel searches can also consider price, ratings, location, nearby businesses, and personal travel needs before showing available options.

Gmail Joins the Trip Planner

Google is bringing Personal Intelligence into Ask Maps, allowing the assistant to use information from Gmail and Google Calendar. The feature can answer questions about flights, reservations, hotels, and activities connected to an upcoming trip.

Personal Intelligence remains off by default and must be enabled by the user. Once active, Ask Maps can connect travel details with nearby restaurants, events, and places without requiring the same information to be entered again.

Your Map Remembers the Conversation

Ask Maps can now remember previous chats, allowing users to continue planning without starting over. Someone can return later and ask about earlier hotel suggestions, restaurant options, or activities from a previous conversation.

Google is also adding a live transit widget that tracks delays and changing conditions in real time. Maps is growing beyond directions into an AI assistant that can plan, remember, recommend, and help complete everyday tasks.

Developer Tools

Meta Gives Big Software Projects Their Own AI Crew

Meta Platforms (NASDAQ: META) has launched Muse Code, an AI coding agent built to handle complex engineering work across large software repositories.

The terminal-based tool can plan changes, write code, test the results, and complete full development tasks from one instruction.

Muse Code runs on Meta’s Muse Spark coding model and can be installed with a single command. The beta gives programmers a direct way to use Meta’s AI inside their existing development environment.

Big Jobs Get Split Into Smaller Missions

When a project becomes too large for one process, Muse Code launches multiple sub-agents that work on separate parts at the same time. Each agent operates inside an isolated worktree, keeping the developer’s main working copy untouched.

The setup allows Muse Code to build several features in parallel without agents overwriting one another’s work. Meta is bringing team-style coordination into an AI coding tool instead of making developers run every task one after another.

The Terminal Gets an Engineering Crew

Muse Code is designed for large codebases where a small change can affect many files, systems, and dependencies. The agent can study the wider project before deciding what needs to be changed and how the result should be tested.

Meta is expanding its AI tools beyond advertising and social apps into professional software development. Muse Code gives the company a new enterprise technology layer built around coding models, autonomous agents, and parallel engineering workflows.

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*This free resource is being sent by Zacks. We identify investment resources you may choose to use in making your own decisions. Use of this resource is subject to the Zacks Terms of Service.
*Past performance is no guarantee of future results. Investing involves risk. This material does not constitute investment, legal, accounting, or tax advice. Zacks Investment Research is not a licensed dealer, broker, or investment adviser.

Ride-Hailing

Uber Prepares for a Fleet Without Drivers

Uber Technologies (NYSE: UBER) is preparing to invest more than $10 billion in autonomous vehicle technology and robotaxi operations. The spending will support self-driving partners, vehicle commitments, and the fleets needed to bring driverless rides into more cities.

Uber is not building one autonomous driving system of its own. The company is creating a platform where different robotaxi developers can connect their vehicles to Uber’s app, customer base, routing system, and payment network.

One App, Many Autonomous Brains

Waymo remains an important part of Uber’s robotaxi network in Austin and Atlanta. Uber is also expanding relationships with other autonomous vehicle companies, giving the platform access to different driving systems and vehicle designs.

The approach lets Uber act as the bridge between robotaxi technology and passengers. Autonomous partners provide the vehicles and driving software, while Uber handles ride requests, pricing, trip matching, customer support, and fleet demand.

The Driverless Fleet Gets Real

Large robotaxi networks require more than working self-driving software. Vehicles need charging, cleaning, maintenance, parking, remote support, and constant movement between areas where riders are waiting.

Uber’s investment will help build that operating layer around autonomous fleets. The company is turning robotaxis from limited demonstrations into a larger transportation service that can operate through the same app people already use for everyday rides.

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Everything Else

• 🏛️ A free report names seven stocks with decades long payout histories including a healthcare leader that has raised its dividend for 61 consecutive years.

• 💰 SoftBank’s quarterly profit fell, although gains from its Intel and ByteDance stakes helped soften the decline.

• 🧠 Google continues building its AI empire while losing several of the influential researchers and executives behind its early breakthroughs.

• 🤖 Chinese robot maker Unitree could reach a $7.4 billion valuation after its planned Shanghai IPO.

• 📉 Sandisk and Western Digital dragged chip stocks lower as strong earnings still failed to clear investors’ lofty expectations.