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Google Maps is getting an AI ‘Ask Maps’ feature and upgraded ‘immersive’ navigation
Plus: How multi-agent AI economics influence business automation
Hafizur Rahman
March 12, 2026
In partnership with
Today's Newsletter Highlights:
Google Maps is getting an AI ‘Ask Maps’ feature and upgraded ‘immersive’ navigation
Boost Your Twitter Game with Typefully
Best AI Tools
🎇AI NEWS TODAY🎇
Google Maps is getting an AI ‘Ask Maps’ feature and upgraded ‘immersive’ navigation
Ask Maps allows you to ask complex questions directly in Google Maps. You don’t just type simple keywords anymore.
Here are some examples of what you can ask:
“Find a cosy vegetarian restaurant for four tonight.”
“Plan a scenic road trip with interesting stops.”
“Where are the quiet coffee shops near me?”
The AI understands natural language and gives tailored recommendations. It uses Maps data like reviews, ratings, and locations.
Key points:
Functions like a chatbot within Maps
Uses Gemini AI to understand real-world questions
Aids in travel planning, locations, and routes
Rolling out first in the U.S. and India on Android and iOS (desktop later)
🗺️ 2. “Immersive Navigation” – More realistic directions
Google is also enhancing navigation with a 3D visual mode.
New features include:
3D buildings and terrain during navigation
Clear lane guidance
Visible crosswalks, traffic lights, and stop signs
Dynamic zoom and route explanations
This makes navigation feel more like the real world. It helps users understand roads and intersections better.
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A multi-agent system is a network of AI agents. Each agent has a specific role, such as researcher, planner, validator, or executor. They work together to achieve a larger goal.
Example workflow:
Agent 1 → gathers data
Agent 2 → verifies information
Agent 3 → executes the task
Agent 4 → checks compliance with rules
This setup reflects how real businesses function with various departments.
💼 Why Businesses Are Adopting It
The biggest change is from AI assistants to AI operations.
Multi-agent systems can do more than just create text or insights. They can also automate whole processes, such as:
Financial reporting
Procurement approvals
Customer service workflows
Supply chain management
With each agent handling a small part, the system becomes faster and more scalable.
📈 Economic Impact
The article shows why companies find great value in this approach:
Multi-agent deployments in enterprises have increased over 300% recently.
Companies report up to 40% productivity gains with coordinated AI agents.
Some forecasts suggest operational costs could drop significantly with automation driven by agents.
Businesses are changing. They are moving from "AI helping workers" to "AI running workflows."
AI Alone Can’t Run Revenue
Finance doesn’t run on “mostly right.” It runs on math.
In The Architecture Behind AI-Native Revenue Automation, Tabs’s CTO breaks down why LLMs alone aren’t enough—and what it actually takes to build audit-ready, AI-driven contract-to-cash systems for modern B2B teams.
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In short, Typefully helps you write threads that stand out and build meaningful engagement on Twitter.
If you’re serious about growing your brand on Twitter, Typefully is a must-have tool.
The best HR advice comes from those in the trenches. That’s what this is: real-world HR insights delivered in a newsletter from Hebba Youssef, a Chief People Officer who’s been there. Practical, real strategies with a dash of humor. Because HR shouldn’t be thankless—and you shouldn’t be alone in it.
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