I've been working in cybersecurity for over a decade at Sundance Networks, and we're now heavily focused on AI-powered security solutions--which means I'm constantly educating clients about both the protective and deceptive sides of AI. I'd be happy to provide practical, non-technical tips your readers can use immediately. One of the simplest checks I teach our clients is the "blink and breathe" test for videos--AI-generated faces often have unnatural blinking patterns or the person never takes a visible breath. For product photos, look at text in the background or on packaging; AI struggles with readable, consistent text and often creates gibberish. We've seen scammers use AI-generated product images for fake online stores, and that text issue is the fastest giveaway. For phone calls, which we're seeing more of in our security monitoring, listen for unnatural pauses after you ask unexpected questions--AI voice systems need processing time. We also tell clients to ask the caller to do something off-script like "Can you spell your company name backwards?" Real humans respond naturally; AI often fumbles or ignores the request entirely. I'm comfortable with either email or phone interviews and can keep explanations simple--we work with medical offices, educational institutions, and non-profits where clear communication is essential. Happy to be quoted with credentials and help your readers stay safe from these increasingly sophisticated scams.
I've been running Foxxr Digital Marketing since 2008, and we've spent the last few years deep in AI implementation for our home service clients--which means I'm constantly testing these tools and spotting their weaknesses. I can share practical detection methods that don't require technical knowledge. One red flag I've noticed across AI-generated content is the "too perfect" problem. When we analyze fake business listings or scam websites targeting our contractor clients, AI-generated office photos often have perfectly balanced lighting and unnaturally clean spaces with no wear patterns. Real businesses have scuff marks, uneven lighting, and that lived-in look. We've also seen AI struggle with hands and small objects--count the fingers in photos or look at how tools are being held in product images. For voice calls specifically, I teach our clients the "interruption test." Real customer service reps naturally handle when you talk over them or interrupt with a question mid-sentence. AI voice systems either ignore your interruption completely and keep talking, or they restart their entire script. We tracked this across dozens of suspected scam calls to our clients, and the pattern held every time. The data point that shocked me: according to our analysis tracking ChatGPT's growth to 5.3 billion monthly visits, more seniors are using AI tools than ever--which unfortunately means scammers are targeting that exact demographic with AI-generated content. The simplest defense is teaching the "pause and verify" habit before any financial decision.
I've been launching tech products for brands like Robosen, Nvidia, and HTC Vive for years, and here's what most people miss about AI-generated product photos: check the reflections and shadows. When we create 3D renders in Keyshot for product launches, even our professional-grade work shows tells in how light bounces off multiple objects. Scam product photos using AI often have shadows pointing in different directions or reflections that don't match the environment. For video specifically, watch the transitions between scenes and background consistency. We produced a CES recap video for the Robosen Optimus Prime launch, and real footage always has minor camera shake, focus adjustments, and background elements that stay consistent. AI-generated scam videos often have backgrounds that subtly morph or objects that appear/disappear between frames because the AI generates each frame somewhat independently. The biggest tell I've seen across our client work with brands selling on Amazon? Product dimensions and proportions that shift slightly throughout the same video or photo set. When we shoot real products, a robot's arm length stays exactly the same in every angle. AI-generated fakes often show a product that's subtly different sizes relative to hands or tables across different images because the AI doesn't understand physical consistency--it just knows what "looks right" in isolation.
I've spent years optimizing websites for both Google and AI search engines, which means I've had to study how AI models process and generate content at a technical level. One tell that most people miss with AI-generated phone calls: listen for how the voice handles interruptions. Real humans naturally pause, adjust their pace, or acknowledge when you speak over them. AI voices in scam calls either plow straight through your interruption or have an unnaturally perfect pause before responding--there's no organic overlap or verbal stumbling. For product authenticity, I look at text in images--labels, buttons, brand names on packaging. When we rebuilt sites for home-services clients, even minor text inconsistencies killed trust. AI-generated product photos frequently show text that's slightly warped, has wrong letter spacing, or uses font weights that don't match the real brand. A $12,000 handbag photo with a logo where the letters don't align perfectly is a massive red flag. The simplest check I tell clients: reverse image search the product photo. Scammers using AI often generate "unique" images that won't appear anywhere else online, while legitimate products will show up across multiple retail sites, reviews, and the manufacturer's own pages. If a deal looks amazing but the exact photo exists nowhere else on the internet, that's your cue to walk away.
The company discovered one major warning sign through its experience with AI-generated video content for product review purposes. The AI presentation system displayed subtle but consistent anomalies during our testing process. The presenter displayed a phone in multiple videos but their hand movements did not affect the phone which remained unnaturally suspended in mid-air. The simulation operated without any loss of control or modification of grip strength or physical realism cues. The information provides consumers with a trustworthy indicator to use. Watch objects, hands, jewelry, glasses, or phones. People in real life make constant micro-adjustments to their hand positioning throughout their daily activities. AI systems tend to ignore the force of gravity during their operations. Before accepting any information about weight behavior pause and observe the object to confirm its weight status. Albert Richer, WhatAreTheBest.com