Turn Your Devices From Distractions Into Time Savers
Declutter your digital workspace, save time with shortcuts and leverage an AI helper
Declutter your digital workspace, save time with shortcuts and leverage an AI helper
Every January, I usually purge old snail mail, clothes and unwanted knickknacks to start the year anew. This time, I focused on my digital spaces instead.
My virtual Marie Kondo-ing forced me to think about the indispensable apps and features on my devices—and on the flip side, the time thieves that make it hard to leave the couch. (Looking at you, YouTube.)
What did I learn? The most important thing we can do to improve our digital spaces is kill the wormholes. After culling apps on my devices, deleting Instagram from my iPad made the biggest impact. But there were many more.
I also learned that small tweaks—such as adding helpful shortcuts and setting up your screen only around essential apps—can make a difference. I’ve been spending less time on my devices, and I’m now more efficient at work. Here are some takeaways from the exercise that can help you turn distracting devices into time savers.
Cal Newport’s book “Digital Minimalism: Choosing a Focused Life in a Noisy World” inspired me to get rid of the junk on my phone and laptop. Clutter, even in digital form, is stressful, Newport writes. I could relate: I felt overwhelmed every time I turned on my devices.
Digital clutter includes unnecessary files on your computer desktop, promotional emails clogging your inbox and unused apps on your phone. I found that the most satisfying cleanse was clearing my phone’s default home screen—what I see as soon as I unlock the device.
An iPhone app called Blank Spaces (one-week free trial, then $14 annually or a $23 one-time fee) enabled the transformation. I picked my five most-important apps—Kindle, Signal, Messages, Maps and Docs—and let the app do its work. Blank Spaces replaced the usual grid of icons with an empty white background and large tappable text that can launch my chosen apps. I love the new Zen vibes and find myself mindlessly using my phone less often. If needed, I can still get back to my old layout by swiping left.
I spend most of my laptop time in a web browser, which is my most disorganised digital space. I am a terrible tab hoarder, and often have dozens open at once—something that makes my laptop slower.
One Tab, a free browser extension for Chrome, Safari and Firefox, has changed my hoarding habits. With one click, the extension closes all the tabs in an open window and saves the sites as a list of links on a dedicated page. It frees up memory needed for faster computer performance, and makes sure you don’t lose your links.
Smartphone widgets are amazing. Instead of the tiny icons with the service’s logo, they’re bigger tiles that show you information like the current weather or what’s next on your calendar without having to open the apps.
My favourites include a multi-city world clock for managing colleagues in different time zones, a quick link to Google Translate’s camera function and a list of my tasks via the to-do app Twos.
On iOS, you can touch and hold any area on the home screen until your app icons jiggle. Tap the + button to look at all apps that have widgets available. You can also add a few to your lock screen to access information without opening your phone. And widgets can now be added to desktops on Macs running the latest software. On Android, touch and hold an empty space on the home screen, then tap Widgets.
You can take this timesaving even further with automations. Shortcuts is a powerful built-in app on iOS and Mac for creating custom workflows. For example, the Start Pomodoro shortcut triggers a 25-minute timer and enables Do Not Disturb for that period. I use the automation for short periods of focus. If you find the Shortcuts interface too intimidating, there’s a gallery with pre-made options.
Android users can set up automated routines with Google Assistant. Tasker ($3.49) is a more advanced—though more complex—Android alternative.
There are two benefits to having a clipboard manager. It saves everything you copy—that is, command + C on a Mac—so you don’t lose anything to copy-and-paste heaven if you accidentally use the shortcut on something else. It’s also a handy tool for quickly accessing often-repeated text.
The Copy ’Em Mac app costs a $15 one-time fee, and it’s worth every penny. It saves clipboard text and images on your device, and can create keyboard shortcuts for frequently pasted text, such as the short introductory paragraph I email people when reaching out for the first time.
If you’re on Windows, ClipClip is a good alternative. Chromebooks already save the last five copied items. Select the search or “Everything Button” + V to access copy history.
Apple’s Universal Clipboard is fantastic for copying-and-pasting between its devices, such as entering a code from your iPhone’s authentication app on your Mac. Enable Handoff in settings, then make sure the devices are signed in with the same Apple ID and have Bluetooth and Wi-Fi turned on.
Between Android and Windows machines, you can use Nearby Share (soon to be renamed Quick Share) to share text across those devices.
Some workplaces may be banning AI-powered chatbots, such as OpenAI’s ChatGPT and Google’s Bard, but they can shave hours off dreaded personal tasks.
The key to coaxing a high-quality response is starting with a specific, detailed prompt. Try: “Plan a three-course dinner for six people with easy gluten-free and vegetarian recipes. Identify any steps that can be prepared in advance and create a timeline for cooking the recipes. Arrange the ingredients in a list, organised by grocery store aisles.”
I love using chatbots for mixing up my workouts: “Create a five-day exercise plan for someone who is just getting back into shape,” and add any available equipment or necessary modifications.
Just remember, these systems can be wrong, so you may need to double check their work. Still, you’ll have plenty of freed-up time to ask ChatGPT what to binge-watch next.
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AI doesn’t rebel—people design, deploy and profit from it. The real danger lies in allowing tech companies to escape accountability while shaping regulations that protect their dominance.
A wave of corporate warnings and technical disclosures has flooded the media, with headlines worrying over “swarms” of rogue artificial-intelligence agents launching “unprecedented” cyberattacks, outsmarting their makers, and inching toward a terrifying autonomy. The most revealing part of this narrative isn’t what the software did. It’s who is telling the story—and why. When corporate leaders publicly insist that the systems they financed, engineered and deployed are suddenly beyond their power to contain, skepticism isn’t only healthy; it is essential.
For years, Silicon Valley has drawn scrutiny from civil society and global regulators over tangible harms such as youth mental health deterioration and systematic privacy violations. Today, industry figures seem to be trying to change that public image. Loudly blowing the whistle on their own systems—just as two of the leading companies were preparing for massive initial public offerings—lets AI executives position themselves as a new generation of leaders who have come to terms with their societal responsibilities. They seem to want us to believe that they no longer want to “move fast and break things” but will instead stand as vigilant guardians between humanity and a technological apocalypse.
There is one glaring problem: Software doesn’t rebel. A mathematical model possesses neither intent, malice nor the will to defy its creators, let alone extinguish our species. AI is a human artifact, engineered for profit.
When an agentic model in an evaluation sandbox connects to an unauthorized server or executes an exploit, it hasn’t staged a coup. It has tried to meet the human-defined objectives set out before it through a path its designers failed to constrain. It’s the digital equivalent of the King Midas myth, in which the king’s ill-defined wish turns even his food and drink into gold.
That powerful experimental models were able to discover novel vulnerabilities and breach external systems isn’t a sign of a dangerous superintelligence but of human error or negligence. There is no sentient actor lurking in the weights to be reasoned with, feared or pacified. There are only human software engineers, product managers and corporate boards deciding which guardrails are worth the latency cost and which permissions can be skipped in the race to market.
Policymakers and voters need to resist AI exceptionalism. In any other discipline—from civil engineering to pharmaceuticals—courts and regulators treat a system failure as evidence of bad product design and inadequate safety testing. If an aircraft crashes, we focus on finding the engineering defect, correcting it, and enforcing established liability standards for the damage created.
By leaning on an anthropomorphic narrative, Silicon Valley attempts to repackage its specific human choices that led to experimental, powerful models behaving unexpectedly during tests as an existential peril. Elevating the issue to a cosmic scale leaves the public paralyzed and takes ordinary product accountability off the table.
In the cutthroat race for venture capital and market dominance, building guardrails slows down deployment. Grandstanding about uncontrollable power costs nothing and generates billions of dollars in free publicity, justifying stock prices, all while cultivating an aura of technological capability not only to build the frontier but also ultimately to rein it in.
Governments need to recognize regulatory capture when it stares them in the face. Tech leaders’ strategy looks transparent: Alarm Washington and Brussels into creating a regime in which only trillion-dollar incumbents with fully staffed compliance and safety departments can legally operate. By sitting at the policymakers’ tables before anyone else, these companies can help draft rules digging an impassable moat protecting them from open-source developers and upstart competitors, domestic or international. The real danger is in further concentrating the tech industry into the hands of only a few companies with deep pockets.
Beijing and Washington have brushed off those tech leaders’ calls, albeit for very different reasons. Chinese state media dismissed them as part of the “Cold War playbook” and intended to preserve U.S. dominance. Xi Jinping argued for exactly the opposite at the Brics Summit on Sept. 12, calling on Brics countries to “strengthen cooperation in the field of AI, encourage open source, openness, collaboration and sharing, and break new grounds and scale new heights.” President Trump, steeped in a doctrine of unfettered capitalism and technological supremacy, called fears that AI could destroy humanity a “hoax.” Vice President JD Vance warned that AI companies “begging the government to regulate them” looked like a “Trojan Horse.”
Striving to pursue its “European way” on AI and assert regulatory leadership, Europe, by contrast, welcomed the call. European Union President Ursula von der Leyen made this clear at the State of the EU speech last Wednesday and announced that the EU will invite “the main frontier labs for a discussion on how we can support ongoing industry efforts to pace the frontier.”
Europe has been here before. In an effort to lead global regulation and react to fears borne from ChatGPT, Europe rushed its landmark AI Act into law in 2024. Already the world’s most restrictive rulebook, the framework quickly proved too broad and complex to enforce. Stalled by implementation delays and concerns about European competitiveness, the EU postponed the law’s full rollout, leaving regulations uncertain.
AI should be regulated—risks exist and should be taken seriously. But governments need to act based on available evidence and verified facts, not corporate PR panic, the views of industry insiders, or the desire for quick political wins. The greatest danger facing society isn’t that software will awaken and overthrow its human masters. It is that we will allow the creators of the software to abdicate human responsibility for the systems they choose to build and help them pull up the ladder to market access behind them.