Technology
GenAI, the future of fraud and why you may be an easy target
“Mom, it’s me! I’ve been in an accident and need money right away!”
The voice on the phone sounds exactly like your child, but it’s actually an artificial intelligence clone created from a three-second clip of his voice on Facebook. Welcome to the frightening new world of AI-powered fraud. Generative artificial intelligence (GenAI) has handed scammers a powerful new toolkit that makes yesterday’s email scams look amateur by comparison.
The sophisticated fraud techniques emerging today are virtually undetectable to the untrained eye, or ear. And the financial impact is staggering. Since 2020, phishing and scam activity has increased by 94%, with millions of new scam pages appearing monthly. Even more alarming, experts estimate losses from AI-powered scams will reach $40 billion in the U.S. by 2027.
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A man typing on his laptop. (Kurt “CyberGuy” Knutsson)
What is generative AI and why should you care?
Generative AI refers to so-called artificial intelligence systems that create new content — text, images, audio or video — based on data they’ve been trained on. Unlike traditional AI that analyzes existing information, generative AI produces entirely new, convincing content. The most concerning part? These powerful tools are increasingly accessible to fraudsters who use them to create sophisticated scams that are harder than ever to detect.
A woman working on her laptop. (Kurt “CyberGuy” Knutsson)
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How fraudsters are weaponizing GenAI
Today’s scammers use generative AI to “supercharge” their existing techniques while enabling entirely new types of fraud, according to Dave Schroeder, UW–Madison national security research strategist. Here are the four most dangerous ways they’re using this technology.
Voice cloning: The 3-second threat
With just three seconds of audio, easily obtained from social media, voicemails or videos, fraudsters can create a convincing replica of your voice using AI. “Imagine a situation where a ‘family member’ calls from what appears to be their phone number and says they have been kidnapped,” explains Schroeder. “Victims of these scams have said they were sure it was their family member’s voice.”
These AI-generated voice clones can be used to manipulate loved ones, coworkers or even financial institutions into transferring money or sharing sensitive information, making it increasingly difficult to distinguish between genuine and fraudulent calls.
Fake identification documents
Today’s AI tools can generate convincing fake identification documents with AI-generated images. Criminals use these to verify identity when fraudulently opening accounts or taking over existing ones. These AI-generated fake IDs are becoming increasingly sophisticated, often including realistic holograms and barcodes that can bypass traditional security checks and even fool automated verification systems.
Deepfake selfies
Many financial institutions use selfies for customer verification. However, fraudsters can take images from social media to create deepfakes that bypass these security measures. These AI-generated deepfakes are not limited to still images; they can also produce realistic videos that can fool liveness detection checks during facial recognition processes, posing a significant threat to biometric authentication systems.
Hyper-personalized phishing
Similarly, GenAI now crafts flawlessly written, highly personalized phishing emails that analyze your online presence to create messages specifically tailored to your interests and personal details. These AI-enhanced phishing attempts can also incorporate sophisticated chatbots and improved grammar, making them significantly more convincing and harder to detect than traditional phishing scams.
A man working on his laptop. (Kurt “CyberGuy” Knutsson)
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Why you might be a prime target
While everyone is at risk from these sophisticated AI scams, certain factors can make you a more attractive target to fraudsters. Those with substantial retirement savings or investments naturally represent more valuable targets — the more assets you have, the more attention you’ll attract from criminals looking for bigger payoffs. Many older adults are particularly vulnerable as they didn’t grow up with today’s technology and may be less familiar with AI’s capabilities. This knowledge gap makes it harder to recognize when AI is being used maliciously. Compounding this risk is an extensive digital footprint: if you’re active on social media or have a significant online presence, you’re inadvertently providing fraudsters with the raw materials they need to create convincing deepfakes and highly personalized scams designed specifically to exploit your trust.
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A woman working on her laptop. (Kurt “CyberGuy” Knutsson)
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How to protect yourself in the age of AI
Protection against AI-powered threats requires a multi-layered approach that goes well beyond just digital measures. Awareness is your first line of defense — understanding how these scams work helps you spot red flags before you become a victim. This awareness should be paired with both digital safeguards and “analog” verification systems that exist entirely offline. Here are some key steps to protect yourself:
1. Invest in personal data removal services: Generative AI fundamentally needs your personal data to craft convincing scams, which is why limiting your online footprint has become paramount in today’s fraud landscape. The less information about you that’s publicly available, the fewer raw materials scammers have to work with. Going completely off-grid is unrealistic for most of us today — much like never leaving your home. But you can reduce your online footprint substantially with a personal data removal service like Incogni, making yourself significantly less exposed to AI-powered scams.
By removing your personal data from data broker companies, you not only protect yourself from GenAI-powered fraud but also gain numerous other privacy benefits, such as reduced risks of receiving spam and falling victim to identity theft, as well as helping to prevent stalking and harassment. As AI technology advances, gen-AI scams will only become more sophisticated. While no service promises to remove all your data from the internet, having a removal service is great if you want to constantly monitor and automate the process of removing your information from hundreds of sites continuously over a longer period of time. Check out my top picks for data removal services here.
2. Establish your own verification protocols: Consider agreeing on a “safe word” that only family members know. If you receive an unexpected call from a relative in distress, ask for this word before taking action.
3. Choose strong, unique passwords for each account: Create complex passwords using a combination of uppercase and lowercase letters, numbers, and special characters. Avoid using easily guessable information like birthdays or common words. Consider using a password manager to generate and store complex passwords. A password manager can generate and store strong, unique passwords for all your accounts, reducing the risk of password reuse and making it easier to maintain good password hygiene. Get more details about my best expert-reviewed Password Managers of 2025 here.
4. Enable two-factor authentication (2FA) on all accounts: 2FA adds an extra layer of security by requiring a second form of verification, such as a code sent to your phone, in addition to your password.
5. Receive MFA codes via an authenticator app on your phone rather than email when possible: Using an authenticator app like Microsoft Authenticator or Google Authenticator is more secure than receiving codes via email. Authenticator apps generate time-based one-time passcodes (TOTPs) that are not transmitted over email or SMS, reducing the risk of interception by hackers. Additionally, authenticator apps often support biometric authentication and push notifications, making the verification process both secure and convenient.
6. Use a strong antivirus software: Modern cybersecurity threats are evolving rapidly, with AI being used to create more convincing phishing attacks, deepfake scams, and malware. Investing in strong antivirus software can help identify and block suspicious activity before it reaches you. The best way to safeguard yourself from malicious links that install malware, potentially accessing your private information, is to have strong antivirus software installed on all your devices. This protection can also alert you to phishing emails and ransomware scams, keeping your personal information and digital assets safe. Get my picks for the best 2025 antivirus protection winners for your Windows, Mac, Android and iOS devices.
7. Trust your intuition and verify: If something feels “off,” like you notice unusual phrasing or strange background noises, trust your instincts. Don’t let fraudsters create a false sense of urgency. If you receive a communication claiming to be from a financial institution, call that institution directly using the official number from its website.
8. Monitor your accounts: Review account statements regularly for suspicious transactions. Don’t hesitate to request a credit freeze if you suspect your data has been compromised.
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Kurt’s key takeaways
So, is this all a bit scary? Absolutely. But the good news is, you’re now armed with the knowledge to fight back. Stay alert, take those protective steps I mentioned seriously, and remember that a little healthy skepticism goes a long way in this new age of AI fraud. Let’s make it much harder for these AI-powered scams to succeed.
Do you think tech companies are doing enough to protect us against AI-powered scams and fraud? Let us know by writing us at Cyberguy.com/Contact
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Technology
Microsoft’s carbon emissions went up 25 percent last year
Microsoft may once again be struggling to keep up with its own climate goals, according to its 2026 sustainability report. As reported by GeekWire, the report states that Microsoft’s carbon emissions increased 25 percent in 2025, totalling 34 million metric tons “without select interventions.” Microsoft says this was “driven primarily by the expansion of our datacenter infrastructure,” as well as the company’s decision last February to stop purchasing “non-additional, unbundled renewable energy certificates.”
Several years ago, Microsoft set itself a goal to be carbon negative by 2030, meaning it will need to remove more carbon emissions than it produces. This isn’t the first time Microsoft has faced setbacks toward accomplishing that goal, as its 2024 sustainability report showed a similar rise in climate pollution. This year’s report admits that, “While AI infrastructure is driving demand for energy, water, land, and materials, sustainability solutions are not scaling fast enough to meet demand.”
Technology
Google turns old phones into cloud servers
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That old phone sitting in your drawer may have more life left in it than you think. You may look at it and see a dead battery, an outdated camera or a screen that no longer feels worth using. Google and researchers at the University of California San Diego see something else: a tiny computer that may still have useful processing power.
Their idea is called phone cluster computing. Instead of treating retired smartphones as electronic waste, researchers remove the motherboard and redeploy it as part of a low-carbon computing system.
Google says UC San Diego plans to launch a data center built from 2,000 Pixel smartphones in fall 2026. The goal is to provide low-cost cloud computing for students and researchers while reducing the need for newly manufactured server hardware.
That means the next chapter for an old phone may not be a junk drawer. It may be a server rack.
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Researchers plan to launch a 2,000-phone data center at UC San Diego in fall 2026 to support students and research workloads. (Kurt “CyberGuy” Knutsson)
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What is phone cluster computing?
Phone cluster computing takes retired smartphones and turns their core hardware into a computing platform. The process starts by stripping each phone down to the motherboard. That board holds the processor, memory and storage. The display, battery, cameras, chassis and other phone-specific parts are removed.
That step is important because a full phone does not belong in a data center. Batteries can create safety issues. Screens and cameras waste space. The motherboard is the part that still offers computing value.
Once the board is removed, researchers load a general-purpose Linux system onto it. Android already runs on Linux at its core, but Android is built for mobile apps and personal devices. A data center needs something more flexible for cloud workloads. After that, the phone boards can be grouped into clusters. Many small boards then work together like a collection of tiny servers.
Why Google wants old Pixel phones for cloud computing
The AI boom has created a huge appetite for computing power. Data centers need more chips, more electricity and more cooling. At the same time, billions of phones fall out of use around the world.
This Google-backed project takes that conversation in a different direction by asking whether some useful computing can come from hardware we already made.
The project focuses on embodied carbon. That means the emissions created before a device ever turns on. Mining, manufacturing and shipping all add to that carbon footprint.
If a phone motherboard already exists, reusing it can avoid some of the environmental cost tied to manufacturing new hardware. Google says the motherboard accounts for about half of a phone’s embodied carbon, which makes it the most valuable part to recover.
How retired smartphones become low-carbon servers
You cannot plug a pile of old phones into a rack and call it a data center. The process requires careful teardown, new software and a way to manage many boards at once. Google says the project uses containerized applications managed by Kubernetes. That helps coordinate the work across many devices.
The phones are organized into self-managing clusters of about 25 to 50 boards. Each board works as a small Linux machine. Together, they can handle tasks that would otherwise run on traditional cloud servers. That does not make one phone equal to one server. A server has many more processor cores, more memory and data center-grade hardware. A phone board has fewer resources and tighter limits. Still, some jobs do not need a giant machine. They need enough compute to run efficiently without wasting resources.
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Google and UC San Diego are testing a cloud computing system built from retired Pixel phone motherboards, giving old smartphones a possible second life. (Google)
Can old phone processors handle cloud workloads?
The technical case is stronger than you may expect. Google says the single-threaded performance of modern smartphone performance cores can match or beat the per-core performance of some modern multicore servers. In one comparison, a 2023 Pixel Fold was tested against an ASUS RS720A-E11 server using SPEC benchmarks. The Pixel Fold’s performance cores beat the baseline data center server core on many of the tests. That sounds impressive, but there is an important catch.
A smartphone board has a smaller memory limit and fewer cores. It also lacks the management tools and hardware durability that servers are built around. So the project needs the right workloads.
UC San Diego is starting with educational and research computing. That makes sense because many classroom tasks can run on small cloud instances. Google says early experiments showed that a 20-phone cluster could support peak submission rates for a class of more than 75 students. The grading latency also came in below the default AWS backend used in the comparison.
Why UC San Diego is testing a 2,000 Pixel phone data center
UC San Diego plans to use the 2,000-phone cluster to support computer science classes and research workloads. Google says the deployment could support about 100 classes at once. It also describes the system as providing about 50 server-equivalents worth of compute at a fraction of the usual cost.
For a university, that could be a major advantage. Cloud computing costs can rise quickly, especially when many students submit assignments at the same time. If a reused phone cluster can handle some of that load, schools may save money while reducing demand for newly manufactured servers.
This also gives researchers a chance to test phone-based computing at scale. A small lab demo can look promising. A 2,000-board deployment will show much more about reliability, maintenance and day-to-day performance.
Phone cluster computing still has big limits
Phone cluster computing sounds promising, but it still has a lot to prove. Your smartphone was made for daily use in your hand, not nonstop work inside a data center. Data center servers are built to run for years with steady cooling, fast repairs and constant monitoring. Phone motherboards come from devices made for pockets, backpacks and kitchen counters. That alone raises some big questions.
The boards could fail faster than expected. Cooling may also become a challenge once thousands of tiny processors run side by side. Then there is the labor problem, because someone has to safely remove batteries, screens and other parts before the boards can be reused. Cost will be the deciding factor. If teardown, maintenance and replacement work get too expensive, this idea may stay in the research lab.
Phone clusters also will not replace the massive GPU systems that power advanced AI training. They make more sense for smaller cloud jobs, classroom tools and research tasks that fit within smartphone hardware limits. That still leaves plenty of useful work. After all, not every cloud task needs the newest chip.
Why old smartphones could help cut e-waste
The world’s e-waste problem is growing fast. The Global E-waste Monitor projects that electronic waste could climb to 82 million tonnes by 2030, while formal collection and recycling rates are expected to fall to 20%. Old phones are a big part of that problem because many never make it to a proper recycling program. They sit in drawers, land in closets or get tossed out with valuable parts still inside. Even when a phone no longer feels useful to you, its processor, memory and storage may still have work left to do.
CyberGuy has covered related second-life ideas before, including old smartphones being turned into tiny data centers and repurposed EV batteries helping power AI data centers. The common theme is hard to ignore. Some of the hardware already in circulation may still have useful work left to do.
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Google says reusing smartphone motherboards could cut hardware waste and reduce the carbon cost of building new data center servers. (Yawar Nazir/Getty Images)
How to safely recycle or reuse your old phone
This research does not mean you should toss your old phone into a random donation bin tomorrow. Before you recycle, donate, trade in or sell an old phone, you need to protect your data. Back up anything you want to keep. Then sign out of your accounts and securely wipe the device.
CyberGuy has a helpful guide on how to securely get rid of your old cell phone. Privacy comes first whenever you part with a device.
You can also consider trade-in programs, certified refurbishers or reputable electronics recycling programs. If the phone still works, buying refurbished can also keep devices in use longer. CyberGuy has covered what to know before buying refurbished electronics, which is helpful if you want to save money without taking a gamble. The key is to avoid letting old devices sit forgotten forever. A phone in a drawer helps no one.
What this means to you
That old phone in your drawer may not be as useless as it looks. Even if the battery is tired or the camera feels outdated, the processor inside may still have real value.
Now, you probably will not be mailing your old phone to a Google data center anytime soon. Still, this project points to a bigger shift in how we think about retired tech. Instead of sending every old device straight to recycling or letting it collect dust, companies, schools and researchers may find smarter ways to reuse the parts that still work.
There is also a money lesson here. If your current phone still runs well, you may not need to rush into an upgrade just because a newer model comes out. A battery replacement, trade-in or refurbished option could save you money while keeping perfectly good hardware in use longer. To me, that is the real takeaway. The phone you forgot about could possibly still have a job to do.
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Kurt’s key takeaways
Google and UC San Diego are testing how to turn retired Pixel phone motherboards into a low-carbon cloud computing platform. The project could give old smartphones a second life while reducing the need for newly manufactured servers. That is important as AI data centers keep demanding more computing power and more electricity. The first major test is expected in fall 2026 with a 2,000-phone data center at UC San Diego. If it works, the cluster could support students and researchers at a lower cost than traditional cloud infrastructure. However, this idea still has to prove it can handle the grind of daily use. Reliability, cooling, teardown labor and maintenance will determine whether phone cluster computing can grow beyond just research. To me, the most relatable part is sitting in your junk drawer. That old phone may seem useless, but its processor could still be powerful enough to help run cloud jobs. Maybe the future of computing starts with hardware we already forgot we owned.
Would you feel good knowing your old phone could help power cloud computing? Let us know by writing to us at CyberGuy.com.
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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
Google’s Nest Thermostat has hit its best price of the year
If you’re looking for a relatively affordable way to cut down on cooling costs, Google’s Nest Thermostat can help. It’s packed with smart controls and energy-saving features, and right now it’s on sale in white for $79 ($50 off), which is its best price of the year, at Amazon.
The smart thermostat is quick to install and makes it easy to adjust your home’s temperature whether you’re relaxing in bed or on your way home thanks to the Google Home app. You can also create schedules and control it with your voice using Google Assistant, Alexa, or another Matter-compatible voice assistant.
Once it’s set up, the Nest Thermostat can automatically turn the temperature down when you’re away to help reduce unnecessary energy use, while Google’s Savings Finder feature suggests additional ways to save over time. It also monitors your HVAC system and can alert you if something doesn’t seem right, making it easier to stay on top of maintenance before small issues become bigger, more expensive ones. If you’re eligible, Nest Renew can also automatically shift some of your heating and cooling to times when electricity is cleaner or cheaper.
That said, this is Google’s entry-level model from 2020, so you do miss out on some of the premium features found on the latest Nest Learning Thermostat. Unlike the flagship version, it won’t learn your schedule automatically over time, for example, and lacks support for Nest Temperature Sensors that let you prioritize the temperature in a specific room. Even so, if all you want is an easy way to adjust your home’s temperature remotely and potentially lower your energy bills, the Nest Thermostat is still a solid investment at this price.
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