These are the things you should do first after updating to iOS 27


Now that the public beta of iOS 27 is out, here are some of the best things you can do on your iPhone after updating.

This update is big, and there’s a lot to be excited for. To list just a few of the features, there are new deep parental controls, an easier-to-use Shortcuts app, Apple Intelligence features for Apple Home, enhanced Flyover in Maps, and much more.

I’ve been using iOS 27 for more than a month, and while the update is full of new features and changes, there are a handful of things I think everyone should do.

Personalize your Liquid Glass look

If there is one thing I know about Apple’s recent iOS redesigns, it is that users are very opinionated on Liquid Glass. Apple looks to appease the masses with iOS 27 by giving users an adjustable slider.

Hand holding a smartphone displaying a travel or map app with a curved modern building photo, while a finger taps the screen; other gadgets and a card lie blurred in the background

Use the slider to adjust the transparency of Liquid Glass with iOS 27

By going to Settings > Appearance > Liquid Glass, you can dial in exactly how much transparency you want. You can, like me, opt for a clearer look, or you can choose to make the UI more tinted.

This won’t satisfy everyone, as the fluid animations remain, but it should satisfy those who dislike transparency. The tinted appearance removes transparency almost entirely.

People have complained about the transparency issue since its introduction. Given that, tinting the UI is a strong contender for the first thing to do after an update.

Testing out the new Siri AI

Another early feature to check out will be Siri AI and Apple Intelligence. Not only because this is a huge new feature, but also because you may end up on a waitlist for a while.

Smartphone with colorful app-filled screen on gray surface, surrounded by a white phone, white wireless earbuds case, orange Big Lots gift card, and small green potted plant

The new Siri AI on top of the Home Screen with iOS 27

When Apple first released the initial iOS 27 beta, developers had to wait sometimes several days before gaining access to Siri AI. After updating, you may also end up on a waitlist, so it’s best to opt in early.

After being accepted, you’ll gain access to some of the new features. However, you’ll need to wait for a fresh reindexing of your device to fully utilize these features.

This reindexing process scans your apps, messages, emails, and other data to enable Siri AI to access and interact with them.

For me, this took weeks to finish. Be patient, and if you want to try to speed it up, keep your phone on a charger more than usual.

Car dashboard featuring a large central touchscreen displaying a messaging app conversation list, with unread messages, various app icons below, and surrounding car controls and steering wheel visible

The new Siri app in CarPlay with iOS 27

Apple Intelligence and Siri are significantly more capable with Apple’s 27 updates. Siri AI has a new look; it has deep personal context, broad world knowledge, and a new dedicated app that will synchronize between all of your devices.

I know in my month so far with iOS 27 and Siri AI, I’ve been very impressed with its performance. That said, it’s almost overwhelming to comprehend.

There is so much Siri AI can do now that I struggle to remember to tap into it. Each day I start to use it more and more, so it’s worth investing the time to explore and see what it can help with.

One of my most recent uses was when my son’s school sent out a PDF with all the days they were closed over the next several months. Instead of putting all of those manually into the calendar, I just asked Siri to add these dates to the family calendar.

Hand holding a smartphone displaying a dark-themed notes app on a gray surface, with a white phone, wireless earbuds case, plant, and orange card nearby

The new dedicated Siri app with iOS 27

It did just that. It understood that the dates were days school was closed, chose the correct calendar, and added them with appropriate titles. Afterward, it showed me confirmation of all the new listings.

Reframe and extend your images

Another useful feature I’ve been enjoying with iOS 27 is the new Apple Intelligence features for Photos. Apple has an updated Clean Up tool, a new Extend option, and a Spatial Reframe mode.

Extend allows you to add roughly 25% to any side of your existing image. You can add more background, change it from a landscape to a portrait, and more with this AI tool.

Smartphone displaying a child's photo and 4:35 time, centered on gray surface, surrounded by potted plant, white smartphone, wireless earbuds case, and red Big Lots gift card

In iOS 27, you can extend your photos to better fit

Pro tip: the extend feature can be used on the Lock Screen, too. So if you have a photo or portrait that doesn’t quite fit the aspect ratio of the Lock Screen, you can use this Extend tool to fill it perfectly.

Spatial Reframe will create a spatial version of an image to slightly adjust the angle of the photo. This can help with where a subject is looking, something in the background, or other angle issues that are slightly off.

Ditch your physical loyalty cards

File this as another oft-requested feature. With iOS 27, you can instantly create your own loyalty cards in Apple Wallet with no third-party app required.

The process is fast and can be done manually or aided by Apple Intelligence. You just scan the barcode or QR code on your loyalty card, and an Apple Wallet pass gets generated.

Smartphone displaying a digital membership card with QR code on screen, surrounded by a physical membership card, another phone, earbuds case, and small potted plant on a gray surface

Create your own Wallet passes with iOS 27

This is ideal for those regional grocery store chains, gift cards, or random memberships that live in dedicated apps or your wallet. All of that can be digitized and stored inside the native Apple Wallet app with your credit cards, tickets, and ID.

You can control the color, various fields, and more information on the card. As a backup, a photo of the original card is also stored with the Apple Wallet pass.

Tune your AirPods EQ

AirPods and AirPods Pro have long lacked one feature that almost every other set of earbuds was able to offer: customizable EQ. That ends with iOS 27.

With your AirPods 4, AirPods Pro 2, or AirPods Pro 3 connected, if you go into Settings > AirPods > Audio & Routing > Equalizer, you can adjust the lows, miss, and highs for your earbuds.

Hand holding open white wireless earbuds case beside a smartphone showing app stats on a gray surface, with another phone, small plant, and orange card in the background

Adjust the EQ for AirPods 4, AirPods Pro 2, and AirPods Pro 3 with iOS 27

It isn’t as granular as others out there, but it’s something. I think anyone who wants to punch up the bass will be particularly happy.

As you adjust these sliders, you can hear the changes in real-time as Apple will play your music from the Settings app until you find a balance you like.

Discover the little things

Finally, start to discover all the little features that iOS 27 brings. For me, it’s been one of my favorite parts of this update as I keep finding new stuff.

The speed increase here is real. It’s noticeable system-wide from rebooting my phone, to opening apps, to transferring files with AirDrop.

Apple was not kidding when it said it spent a lot of time on optimization. That’s saying something, considering we’re still early on in the beta cycle at the time I’m writing this.

I also love the new groupings and organizing for Safari tabs. It makes it easy to find tabs I had open and looks a lot nicer than just 500 tabs on mobile.

If you share a lot of stuff, you’ll probably notice a handy keyboard trick. When you copy something and then go somewhere with a text field, it will prompt you to paste what you’d copied.

It’s so fast and means you don’t have to long-hold and press “paste” to insert your link, video, image, et cetera.

There’s a lot to love with iOS 27. These will give you a place to start, but it’s very much worth exploring and using to see what other little touches Apple has added.



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TL;DR

India debates sovereign AI after the US forced Anthropic to kill Fable 5, with proposals for a $5B fund and calls to embrace open-source models.

When the US government ordered Anthropic to shut down Fable 5 and Mythos 5 on 12 June, the export control directive was aimed at restricting foreign nationals from accessing America’s most capable AI. In India, Anthropic’s second-largest market, it landed as a warning shot about what happens when your AI infrastructure runs on someone else’s politics.

The suspension cut off Indian developers and enterprises from Claude’s most advanced models overnight. India’s Claude run-rate revenue had doubled since October 2025, and Tata Consultancy Services had announced a partnership just one day earlier, on 11 June, to train 50,000 employees on Claude and build a dedicated Anthropic business unit. That deal is now in limbo.

The timing has turned what was already a simmering debate about AI sovereignty into a full strategic reckoning. Proposals that sounded ambitious a week ago now sound urgent.

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Mohandas Pai, former Infosys CFO and one of India’s most prominent tech investors, has called for a ₹50,000 crore (roughly $5 billion) annual sovereign AI fund. He has also proposed a ₹2 lakh crore (approximately $21 billion) credit guarantee to finance cloud infrastructure, hardware procurement, and semiconductor development. The figures dwarf the government’s existing commitment.

India approved its IndiaAI Mission in March 2024 with a budget of ₹10,372 crore, approximately $1.25 billion. The programme has deployed around 38,000 GPUs so far. Pai’s proposal would quadruple annual spending and add a credit backstop an order of magnitude larger.

Sridhar Vembu, the founder of Zoho, has gone further. He argued that India should embrace smaller and open-source models, including Chinese ones, rather than depend on American frontier systems that can be switched off by executive order. “Technology is the ultimate weapon,” Vembu said. “Globalization is dead and Bharat must find her own way ahead.

The argument has teeth because the suspension demonstrated exactly the vulnerability Vembu is describing. Amazon’s CEO reportedly triggered the government crackdown by telling Treasury Secretary Scott Bessent that researchers had used Fable 5 to obtain information that could be used in cyberattacks. Anthropic called the action disproportionate, but compliance was immediate and global.

Policy expert Prasanto Roy put it bluntly: “American AI models are bound to American geopolitics.” For Indian enterprises that had built workflows around Claude, the lesson was that access to frontier AI is a privilege that can be revoked without notice, without consultation, and without regard for the commercial relationships it disrupts.

The Indian startup ecosystem is already adapting. Sarvam, a Bengaluru-based AI company, released 30-billion and 105-billion parameter open-source models at the India AI Impact Summit in 2026. Krutrim, founded by Ola’s Bhavish Aggarwal, has pivoted from building foundational models to providing cloud and AI infrastructure services, reporting ₹3 billion in revenue for fiscal year 2026.

Neither company is close to matching the capabilities of Fable 5 or Mythos 5. But the argument for sovereign AI was never about matching frontier performance immediately. It is about ensuring that the floor does not fall out when Washington makes a unilateral decision about who gets to use which models.

Aakrit Vaish, founder of the AI startup Activate, said the suspension “completely changes things” for the sovereign AI debate. Vijay Rayapati, CEO of Atomicwork, raised concerns about what the precedent means for Indian companies with multi-country teams that depend on American AI providers. If the US can shut off model access to enforce export controls, any country that relies on American AI is one policy decision away from disruption.

Not everyone agrees that India needs to build its own frontier models. Hemant Mohapatra, a partner at Lightspeed Venture Partners, argued that talent and compute access matter more than capital for building competitive AI. India has the engineering workforce, but the compute gap is significant, and closing it requires either massive domestic investment or continued access to foreign cloud infrastructure.

Anthropic opened a Bengaluru office as part of its India expansion, and the TCS partnership was designed to be a cornerstone of its enterprise strategy in the country. Whether those plans survive the suspension intact depends on how quickly Anthropic can restore access and whether Indian enterprises still trust a provider whose most capable models can vanish overnight.

The broader pattern is unmistakable. The US has spent four years tightening controls on AI technology, from chip export restrictions to model-level interventions. Each escalation pushes more countries toward the conclusion that dependence on American AI infrastructure carries political risk. India, with its 1.4 billion people and rapidly growing technology sector, is now asking whether it can afford that risk, and what it would cost to eliminate it.

The Opendoor layoffs in June 2026, which shut the company’s India office and affected roughly 250 employees, added another dimension. CEO Kaz Nejatian cited AI-native teams as the reason, suggesting that some US companies are using AI to reduce their reliance on Indian engineering talent at the same time that India is debating its reliance on American AI. The relationship is becoming less complementary and more competitive.

For now, the sovereign AI proposals remain proposals. Pai’s fund has no legislative vehicle, Vembu’s call for open-source adoption has no coordinated policy framework, and the IndiaAI Mission’s GPU deployment is still in early stages.

But the Anthropic suspension has done something that years of policy papers and conference speeches could not: it has given the sovereign AI movement a concrete, recent, and viscerally felt example of why dependence on foreign AI is a strategic liability. The debate is no longer theoretical.



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