Apple Brings AI-Powered Automation To Shortcuts In IOS 27

Apple introduced new artificial intelligence capabilities for its Shortcuts app at WWDC 2026, allowing users to create automations using natural-language prompts. The update is designed to make workflow automation more accessible by reducing the need to manually configure complex actions and sequences.

Empowering Automation With Artificial Intelligence

The Shortcuts app, which allows users to automate tasks across apps and services, will now incorporate Apple Intelligence. According to Apple, users can describe a task in natural language, and the system will generate the necessary automation steps based on the request.

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Simplified Experience For Nontechnical Users

During the WWDC keynote, Cecilia Dantas, Senior Manager of Home Software Product Marketing at Apple, said the company aimed to simplify the process of creating shortcuts. Rather than manually building workflows, users will be able to describe the outcome they want to achieve, with the app generating the automation automatically.

Real-World Applications And Business Impact

Apple demonstrated how shortcuts can combine actions across multiple services. For example, a user could create an automation that sends a message, calculates an estimated arrival time through Apple Maps and starts a podcast by entering a single prompt describing the desired outcome. By reducing the complexity of workflow creation, the new functionality expands the range of tasks that can be automated through Shortcuts.

Preparing For The Future With iOS 27

Release of the AI-powered version of Shortcuts is expected alongside iOS 27 later this year. Part of Apple’s broader Apple Intelligence strategy, the update extends artificial intelligence capabilities across the company’s ecosystem and introduces new ways to automate everyday tasks.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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