Technology
5 AI prompts to put serious money in your pocket
So, you want to start making money using AI but you’re not trying to build Skynet or learn 15 coding languages first? Good, because neither am I. You don’t need to become the next Sam Altman or have a Ph.D. in machine learning to turn artificial intelligence into real income. What you do need is curiosity, a dash of creativity, and the right prompts.
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I’ve pulled together five powerful, practical prompts you can throw into ChatGPT (or your AI tool of choice) to help you start earning extra cash this week. These aren’t pie-in-the-sky dreams or $10K-a-month YouTube ad schemes. They’re doable, even if your calendar is already packed.
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Let’s get to it.
1. Fast-Track Your Freelance Life
Prompt to use:
“Act as a freelance business coach. Suggest 3 services I can offer on Fiverr or Upwork using AI tools like ChatGPT, Midjourney or Canva. I have [insert skill: writing/design/admin/accounting/managerial] experience.”
Why this works:
Freelance work is exploding right now. Platforms like Upwork and Fiverr are filled with small businesses and entrepreneurs who need help—but don’t have the budget to hire full-time staff. If you’ve got any kind of professional background, you can use AI tools to turbocharge your services. Writing blog posts? ChatGPT can give you a draft. Creating logos or social media templates? Midjourney and Canva are your new best friends.
You don’t need a team. You don’t need fancy software. You just need a good prompt and the confidence to say, “Yes, I can do that.” AI helps you scale what you already know how to do.
A man is pictured with a smartphone and laptop computer on January 31, 2019. (Neil Godwin/Future via Getty Images)
2. Make Product Descriptions Sexy Again
Prompt to use:
“Rewrite this Etsy or Shopify product description to make it more compelling and SEO-friendly. Target audience: [insert group]. Here’s the original: [paste description].”
Why this works:
Let’s face it—most product descriptions online are a snooze. But good copy sells. Whether you’re running your own shop or helping someone else with theirs, compelling product descriptions convert clicks into customers. Use ChatGPT to punch up the language, fine-tune for SEO, and speak directly to your ideal buyer.
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Remember: people don’t just want to buy a weird mug. They want to buy what it says about them. That’s where a smart rewrite can turn browsers into buyers.
3. Social Posts That Sell
Prompt to use:
“Create 5 attention-grabbing Instagram captions to promote this [product/service]. Keep the tone [fun, confident, expert] and include a strong call to action.”
Why this works:
We live in a scroll-happy world. Your social captions need to grab attention in less than three seconds. But not everyone’s a copywriter—and not everyone has time to be. AI can help you crank out engaging content in the tone and style that fits your brand. Add a great photo, post consistently, and you’re suddenly a one-person content agency without the overhead (or endless Zoom meetings).
A photo taken on October 4, 2023 in Manta, near Turin, shows a smartphone and a laptop displaying the logos of the artificial intelligence OpenAI research company and ChatGPT chatbot. (MARCO BERTORELLO/AFP via Getty Images)
If you’re managing social for clients or your own biz, this prompt is gold. Use it to build content calendars, write reels scripts, or even draft ad copy.
4. Polite Emails That Save You Money
Prompt to use:
“Write a short, polite email to ask for a lower rate or discount on [tool/service/platform]. Mention that I’m a loyal customer comparing alternatives.”
Why this works:
Negotiating discounts doesn’t always feel comfortable but it absolutely works. Companies often have unpublished deals, especially for longtime users or small businesses. And customer service reps? They’re human beings. A kind, well-written email might be all it takes to get a discount on that software you’re using every month.
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I’ve personally saved hundreds of dollars just by sending quick, respectful emails like this. AI can help you strike the perfect tone confident but kind, assertive but not pushy.
5. Your Passive Income Kit
Prompt to use:
“Give me 3 high-demand, low-competition ideas for a short e-book or low-content book I can sell on Amazon. I have experience in [insert topic].”
Why this works:
You have knowledge people want. Package it. Sell it. Repeat. Whether it’s a short guide on starting a backyard garden or a workbook for productivity hacks, e-books and low-content books (like journals or planners) sell surprisingly well. And AI can help you brainstorm ideas, outline chapters, even draft content to polish up.
In this photo illustration the logo of Apple Mail Programme Mail can be seen on a smartphone next to a finger on March 27, 2024 in Berlin, Germany. (Photo Illustration by Thomas Trutschel/Photothek via Getty Images)
Upload it to Amazon KDP or Gumroad, and now you’ve got a digital product that can earn money in your sleep. People pay for convenience, and you have life experience worth sharing.
Final Thought
You don’t need to master AI to start earning with it. You just need to start using it. These five prompts are a low-risk, high-potential way to get your feet wet. And if you need a hand turning these sparks into something bigger, I’m here.
I built my multimillion-dollar business with no investors and no debt. I’ve done this without a big team or expensive consultants. And I’d love to help you do the same.
Drop me a note. I read every one.
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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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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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