iPhone Battery Draining Fast? You Might Need to Undo These 3 Settings
Whether you're using your phone to get directions, stream music or send that one last text, the last thing you want is for it to shut down at the worst possible moment. Instead of scrambling for a charger or switching on Low Power Mode every few hours, take a minute to check your iPhone settings. Turning off a few power-draining features could be the fix your battery desperately needs-and it only takes seconds to do.
You can also keep an eye on your Battery Health menu -- it'll tell you your battery health percentage (80% or higher is considered good), as well as show you how many times you've cycled your battery and whether or not your battery is "normal."
We'll explain three iOS features that put a strain on your iPhone's battery to varying degrees, and show how you can turn them off to help preserve battery life. Here's what you need to know.
Turn off widgets on your iPhone lock screen
All the widgets on your lock screen force your apps to automatically run in the background, constantly fetching data to update the information the widgets display, like sports scores or the weather. Because these apps are constantly running in the background due to your widgets, that means they continuously drain power.
If you want to help preserve some battery on iOS 18, the best thing to do is simply avoid widgets on your lock screen (and home screen). The easiest way to do this is to switch to another lock screen profile: Press your finger down on your existing lock screen and then swipe around to choose one that doesn't have any widgets.
If you want to just remove the widgets from your existing lock screen, press down on your lock screen, hit Customize, choose the Lock Screen option, tap on the widget box and then hit the "—" button on each widget to remove them.
If you're already low on battery, it's best to just switch to a wallpaper that doesn't have lock screen widgets.
Screenshots by Nelson Aguilar/CNET
Reduce the motion of your iPhone UI
Your iPhone user interface has some fun, sleek animations. There's the fluid motion of opening and closing apps, and the burst of color that appears when you activate Siri with Apple Intelligence, just to name a couple. These visual tricks help bring the slab of metal and glass in your hand to life. Unfortunately, they can also reduce your phone's battery life.
If you want subtler animations across iOS, you can enable the Reduce Motion setting. To do this, go to Settings > Accessibility > Motion and toggle on Reduce Motion.
Visual tricks like the parallax effect are fun, but they can affect your battery life.
Screenshots by Jason Chun/CNET
Switch off your iPhone's keyboard vibration
Surprisingly, the keyboard on the iPhone has never had the ability to vibrate as you type, an addition called "haptic feedback" that was added to iPhones with iOS 16. Instead of just hearing click-clack sounds, haptic feedback gives each key a vibration, providing a more immersive experience as you type. According to Apple, the very same feature may also affect battery life.
Watch this: So Many iPhone Battery Complaints, but Why?
09:44
According to this Apple support page about the keyboard, haptic feedback "might affect the battery life of your iPhone." No specifics are given as to how much battery life the keyboard feature drains, but if you want to conserve battery, it's best to keep this feature disabled.
Fortunately, it is not enabled by default. If you've enabled it yourself, go to Settings > Sounds & Haptics > Keyboard Feedback and toggle off Haptic to turn off haptic feedback for your keyboard.
Every single time you type, you'll feel a slight vibration for each key you hit.
Screenshots by Nelson Aguilar/CNET
For more tips on iOS, read about how to access your Control Center more easily and why you might want to only charge your iPhone to 95%.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
New York Times
30 minutes ago
- New York Times
Trump Says He Will Start Talks With China on TikTok Deal
President Trump late Friday said that the U.S. 'pretty much has a deal' for an American company to acquire the U.S. branch of TikTok, adding that he intended to restart talks next week with China to approve the deal. 'We're going to start Monday or Tuesday talking to China,' Mr. Trump told reporters traveling on Air Force One on Friday night as headed to Bedminster, N.J. 'We think we probably have to get it approved by China. Not definitely, but probably.' He added, 'I think the deal is good for China, and it's good for us. It's money, it's a lot of money.' Mr. Trump did not say who the potential buyer was. The president said earlier in the week that he had found a buyer for the U.S. branch of TikTok, the popular Chinese-owned video app that faces a ban adopted by Congress over national security concerns. A 2024 law required that the app effectively be banned in the United States unless its parent company, ByteDance, sold it to a non-Chinese company. Congress was concerned that sensitive user data could end up in the hands of the Chinese government. It was not clear if the deal would comply with some of the requirements Congress adopted for a sale of TikTok, particularly if ByteDance chose not to share the app's algorithm with the U.S. buyers. Private equity firms have been hesitant to invest in a deal without some form of indemnification. Mr. Trump has declined to enforce the law banning the app, which was passed by large bipartisan majorities and unanimously upheld by the Supreme Court. Shortly after being sworn in, Mr. Trump issued an executive order directing the Justice Department to suspend enforcement of the TikTok ban and has since repeatedly extended it. Pam Bondi, the attorney general, has told tech companies that Mr. Trump has the constitutional power to effectively set aside laws.
CNET
39 minutes ago
- CNET
This All-in-One Appliance Is My New Kitchen Sidekick, and It's 20% With This Last-Chance July 4th Deal
As a writer for CNET's How-To team, I've tried out a lot of all-in-one devices. So when I first got my hands on the Chefman Everything Maker, I was expecting it to be something of a novelty. What I got instead was a genuinely useful, space-saving kitchen sidekick that's now become part of my daily cooking routine. It's clever, compact, and capable of making just about everything, from pizza and eggs to waffles and paninis, all without taking up half the counter. The normal list price of $59.99 on the Chefman website already feels like a steal for what this thing does. Which is, well, everything. But right now for the Fourth of July weekend, you can get the Everything Maker in the concrete color for 25% off on Amazon, bringing the price down to just $45 . (The midnight version is also on sale for 20% off.) Too often, all-in-one kitchen appliances end up doing a lot of things poorly instead of doing one thing well. And, because some models have a lot of components, they can be a nightmare to clean. But the Everything Maker quickly won me over. The nonstick cooking surfaces heat up quickly and clean off with minimal effort (a serious win in my book). I've made crispy hash browns, gooey grilled cheese, breakfast sandwiches and perfectly golden pancakes -- all in one compact machine. The Chefman Everything Maker lives up to its name by offering a versatile, all-in-one cooking solution. Macy Meyer/CNET And it's not just a breakfast tool. I've used it for late-night quesadillas and quick lunches more times than I can count in the past few weeks. The design is intuitive, easy to store upright (although I rarely put it away) and surprisingly durable. No extra bells and whistles here. It's just a well-made, easy-to-use appliance that works every time. Hey, did you know? CNET Deals texts are free, easy and save you money. How I use my Everything Maker Macy Meyer/CNET The Chefman Everything Maker lives up to its name by offering a versatile, all-in-one cooking solution that fits easily on a countertop. With a 12-inch nonstick cooking surface and a slim, compact design, it's well-suited for small kitchens or anyone looking to simplify meal prep. I've found it particularly convenient for cooking breakfast foods like eggs and pancakes with the lid open, then switching to grilled sandwiches or quesadillas with the lid closed. It also heats quickly and evenly, reaching up to 428°F (220°C), which is enough for searing, sautéing or even light grilling. I made a summer flatbread (with burrata, pesto and prosciutto) over the weekend and used the Everything Maker to lightly sear some peaches to add as a topping. They came out perfectly. Cleanup is another strong point. The nonstick surface wipes down easily after use -- no scrubbing or soaking required -- which has made it a reliable go-to for quick weekday meals. The Everything Maker also comes with a digital cookbook featuring 16 chef-crafted recipes, which I've used as inspiration for trying new dishes beyond my usual routine. While it doesn't replace every kitchen tool, the Everything Maker handles a surprising variety of tasks in a compact footprint. Best Prime Day Kitchen Appliance Deals Score some of the best discounts of the year on top kitchen tech during Prime Day, and our shopping experts have rounded up the only deals worth taking seriously this year. See Now My buying advice Whether you're shopping for a gift or just want to level up your own cuisine game, the Chefman Everything Maker is a surprisingly versatile little appliance. Even at full price, it offers solid value and delivers big on convenience, but for just $45, you really can't beat the value. If you're looking for a gift for a new graduate who will be living on their own for the first time, the Chefman Everything Maker hits that sweet spot of compact and functional. At $60, it's already reasonably priced even without the discount. But the $45 deal on Amazon is quite the steal, considering it's the kind of gadget that actually gets used and will keep getting used. While the Everything Maker isn't on sale on the Chefman website currently, it's still worth checking Chefman's website from time to time. They run promotions regularly (in fact, my favorite Obliterator Blender is almost 20% off right now). If you're looking for other useful, fun gifts for your favorite hostess or the chef in your life, here are our favorite kitchen gifts under $50.
Forbes
an hour ago
- Forbes
The End Of The Quant? How AI Is Democratizing Financial Analysis
NEW YORK, NEW YORK - MARCH 28: Traders work on the floor of the New York Stock Exchange (NYSE) on ... More March 28, 2025, in New York City. As President Trump's escalating trade war and signs of inflation concern investors, the Dow Jones Industrial Average (DJI) dropped more than 700 points or nearly 1.7%. (Photo by) Getty Images A new wave of artificial intelligence startups is setting its sights on one of Wall Street's most specialized roles: the quantitative analyst. From hedge funds to commodity trading floors, AI platforms are promising to democratize the complex mathematical models and data analysis that have long been the exclusive domain of highly-paid quants. Until recently, large language models for trading have been the domain of billionaire fund managers like Igor Tulchinsky, whose WorldQuant hedge fund manages over $23 billion and employs more than 150 PhDs to build custom AI systems. As Tulchinsky recently told Forbes , his firm is using LLMs to "convert and discover alphas in different domains," creating proprietary tools that can answer "very sophisticated questions" by combining standard models with internal data that "really nobody can replicate." But a new generation of startups is working to change that exclusivity, offering sophisticated AI-powered analytics to firms that previously couldn't afford such capabilities. The trend represents a fundamental shift in how financial institutions approach data-driven decision making. Rather than hiring teams of PhD-level analysts to crunch numbers and identify market patterns, firms are increasingly turning to AI systems that can process vast amounts of information in seconds and deliver insights in plain English. Three companies highlighted in recent case studies (FINTool, Metal AI, and Findly) are targeting different corners of the financial world with AI-powered research and analytics platforms. Each promises to transform hours of manual analysis into automated insights, potentially reshaping how investment decisions get made. The key trend has to do with the ability of AI to take disparate data sources to analyze them according to the wishes of risk takers. The promise is that AI systems can search for, aggregate and synthesise data-sources without human intervention. For instance, FINTool focuses on public equity research for hedge funds and banks, analyzing millions of documents from earnings reports to SEC filings. The platform claims to reduce analyst workloads from hours to seconds while maintaining "zero hallucinations" through a three-tier peer-evaluation system. On the other hand, Metal AI targets private equity firms, where deal teams struggle with fragmented data across multiple systems, be it market research platforms to confidential data rooms. The company's intelligence platform claims to unify internal and external data sources, allowing investment professionals to ask complex questions in natural language rather than spending time manually aggregating information. But perhaps the most developed attempt to replace traditional quant work comes from YC backed Findly , whose Darling Analytics platform is making waves in the notoriously complex world of commodity trading. Ignacio Hidalgo knows commodity trading from the inside. As a former lead book trader at some of the most prominent LPG trading desks, he experienced firsthand the daily struggle of synthesizing massive amounts of market data, weather patterns, shipping & flows information plus geopolitical developments into profitable trading decisions. "The problem was the same, just different," Hidalgo explains of his transition from trader to tech entrepreneur. "Most advanced tools for structured and advanced data analytics were still leaving traders without the context they needed. A very hard problem to solve" Now, alongside co-founder Pedro Nascimento, Hidalgo is building what he calls "brand new in the world" technology through their Y Combinator-backed startup Findly. Their Darling Analytics platform aims to give average commodity trading desks the "super analytical powers" traditionally restricted to specialized quant desks. Commodity trading operates in a world of extremes. Sophisticated mathematical models coexist with surprisingly basic tools. While some operations deploy complex algorithms and real-time analytics, others rely on WhatsApp group chats for deal-making. Traders often conduct business through messaging apps with minimal technological sophistication. "Charts don't give you the context," Hidalgo notes. "It's impossible for a human to ingest all the parameters: overnight price changes, ship loading information, weather data & forecasts, news. With AI, you can ask 'What happened to the price of crude this week? Is it a good time to buy?' and get a much clearer picture with market context. AI Quants: Real-World Implementation Darling Analytics is already being piloted at several large commodity firms. The system automates the kind of morning and event driven reports that junior traders typically compile manually, freeing up human analysts to focus on higher-value strategic work. It integrates (near) real-time structured data with unstructured information from market reports, X, Web, emails and news feeds to provide comprehensive market intelligence. "The AI can give full context on data on your metrics. This is not the same as just plotting a graph, it tells you what the graph is in the current context of the market," Hidalgo explains. The platform builds what he calls a "knowledge graph", allowing users to ask trader-specific questions in natural language and receive analysis that would previously require hours of manual research. For instance, a trader can ask the tool to plot the relationship between the weather and the propane stocks on the East Coast of the United States. While this previously would've taken a junior analyst hours to prepare, a trader can now delegate the task to the platform and see results in minutes. Query within DarlingAnalytics DarlingAnalytics What is next for AI quants? The success of these AI platforms raises important questions about the future of quantitative analysis in finance. If artificial intelligence can truly replicate the pattern recognition and analytical capabilities that make quants valuable, it could significantly alter the structure of trading and investment teams. For trading desks that rely on analysts or quants to provide studies for risk deployment, AI-powered analytics provide a competitive advantage by amplifying human capabilities rather than simply replacing them. The technology promises to democratize access to sophisticated analysis across entire organizations. However, the transition isn't without challenges. Commodity markets are notoriously unpredictable, influenced by everything from geopolitical tensions to weather patterns. The companies building these AI systems must ensure their platforms can handle the complexity and volatility that make human expertise so valuable in the first place. As Hidalgo puts it, the goal is to "empower the average user in commodity trading companies" with analytical capabilities that were previously the exclusive domain of specialists. Whether AI can truly replace the intuition and market feel that experienced traders bring to trading remains to be seen, but what it does do is provide an edge on data intelligence in minutes. But with major commodity traders already piloting these systems, the financial industry appears ready to find out.
