20 Incredibly Useful Things You Didn’t Know Google’s Gemini AI Could Do

When we hear about Google’s Gemini AI engine these days, it’s almost always the result of some wildly ambitious and futuristic-sounding advancement. You don’t have to look far to find examples. Gemini, like other generative AI systems, is increasingly being positioned as an agent that can handle complex tasks for you, as we heard about throughout Google’s I/O conference keynote last week. They span everything from shopping and purchasing tickets to planning travel and even meandering around the web on your behalf. And, of course, there’s vibe-coding your own custom apps without needing to know a lick of code. That’s all well and good, but for most of us, it isn’t exactly the sort of stuff we’re relying on in day-to-day life. In reality, it’s Gemini’s more mundane and less marketing-worthy wizardry that’s likely to be most useful in an ordinary moment. And those are exactly the types of tricks that are underemphasized and go unnoticed—often because they’re off the beaten path and buried. So today, we’re going to skip over the standard superlatives and focus instead on the wow-worthy little gems lurking within Gemini that you don’t usually hear about and might otherwise never encounter. Check out the 20 truly useful Gemini abilities below and see how Google’s AI can actually help you. (Note that, Gemini, like all generative AI systems, can at times be inconsistent and may relay inaccurate info. The use cases I’m highlighting here generally minimize that risk and focus on more confined data sets and task-oriented missions that play to the technology’s strengths—but, as always, proceed with caution and approach all results with a critical eye. AI may be powerful, but the human touch around it very much still matters. And that part’s on you to provide.) 1. Act as your on-demand memory expansion Sometimes, the simplest feats really are the most valuable of all. The next time you find yourself facing some manner of random fact you need to remember—the name of someone’s partner or kids, the gate or door code at a particular place, the license plate on your vehicle or rental vehicle, or anything else imaginable—just tell Gemini: “Remember that Susan’s husband is named Carl.” “Remember that the gate code at Josh’s apartment is 8934.” And so on. Then, whenever you next need that nugget of info, all you’ve got to do is ask. 2. Set a timely reminder in no time Speaking of remembering, don’t forget that Gemini can also perform the simple but supremely useful task of helping you recall specific things at specific times—thanks to its native integration with the oft-forgotten Google Tasks service. No matter what device or interface you’re using, ask Gemini to remind you about anything at any date and time you want. It’ll set the reminder in Tasks and then pop up an alert when the right moment arrives. Just make sure you’ve got the Google Tasks app installed and set up on your phone—be it Android or iPhone—so you see the notification. 3. Help you find your way back anywhere One final reminder-related resource that’s worth tucking away in your memory bank—a two-parter: First, if you’re using the Gemini mobile app on a phone, make yourself a mental note that you can always ask Gemini the only slightly embarrassing question of “Where am I?” So long as you’ve allowed the app the proper location-sensing permissions, it should then tell you roughly where you are—with a city name and, depending on your whereabouts, also potentially the name of a specific business or address. Then, if it’s a place you want to remember for the future, ask Gemini to “remember that location as”—followed by whatever description you want (e.g., “remember that location as the best place to park in Westwood”). You can then ask Gemini for that info anytime down the road, and it’ll zap you right back to the spot you need. 4. Dig up details from a video You probably know that Gemini can summarize most any text you show it. One of its even more mind-blowing powers is its ability to summarize and analyze any video you feed into its metaphorical maw. Now, when you’re watching something for pleasure, this probably isn’t a power you’ll need. But when you encounter a video that you need to parse for purely informational purposes and you don’t feel like sitting through 22 minutes to get a shred of knowledge that’d take you 10 seconds to read, you can upload the video file or simply copy and paste its URL directly into Gemini—then tell Gemini to “summarize this video” or “give me a short bulleted summary of the high points.” If you’ve got something super-specific you’re seeking, you can also just ask Gemini about it: “What does this person say about battery life?” “Does the interview reveal anything about when the product will be released?” “What sort of screwdriver does this say to use for installation?” You get the idea. 5. Create your own personal podcast On the flip side of that last item, if you’ve got a dense document that you need to digest and you think you’d do better hearing it as a conversation, try uploading the doc into Gemini and asking it to “Generate a 10-minute conversational podcast between two experts discussing the findings.” You can get as nuanced as you want with your request, and Gemini should spit back out a personalized play-ready creation that’s ready for your aural consumption. 6. Skim over your emails Provided you’ve got Google’s Personal Intelligence option available and active, you can always ask Gemini to summarize your most recent incoming emails—or even get more specific. For example, you can ask it what the last email from your lawyer said, what your roofer quoted as the estimate for repairs, or anything else that might make sense for your inbox. 7. Find you a killer deal If you aren’t in a rush to make a purchase, try telling Gemini to monitor the price of a specific item and alert you if a certain kind of sale ever comes along. You can get as broad or as specific as you want with it: “Monitor the price of the Pixel 10 Pro and notify me if it goes on sale.” “Monitor the price of the Pixel 10 Pro on Amazon and notify me if it goes on sale.” “Monitor the price of the Pixel 10 Pro on Amazon and notify me if it drops below $900.” Your future self will thank you. 8. Create custom product comparisons All deal-seeking aside, Gemini can work wonders when it comes to comparing products and serving up exactly the info you need. Ask it to compare the battery life on two phone models you’re considering or to compare a series of specific refrigerators you see in a store and then tell you how they’re actually different—or even just to give you a table-style comparison of the most important differences across certain products from a purely practical perspective. 9. Decipher doctor-style handwriting Got a note that you can’t for the life of you read? Snap a pic of it and ask Gemini to decipher the writing. You’d be surprised how often it manages to interpret even the messiest script. 10. Act as your error-interpreting technician No matter the device or appliance, whenever you next encounter an error code that looks like gibberish, ask Gemini to help figure out what it means and how you can fix it. The more specific you can get, the better—telling it the manufacturer and model name of whatever’s giving you the error, for instance, or just showing it a picture—but even if you don’t know all the details, there’s a decent chance it’ll be able to point you in the right direction. 11. Serve as your handyman helper While we’re on the subject of repairs, you can show Gemini a photo of a random screw, connector, or component of any sort and ask what it’s called and where you can find a replacement—or anything else you might need to know. Whether you’re a seasoned repair pro or a befuddled homeowner with next to no handy knowledge, the answer it coughs back may be invaluable. 12. Parse an impossible document With the hopefully obvious caveat that you should absolutely consult with a lawyer for anything truly important and before making any consequential decisions, Gemini can be surprisingly helpful when it comes to going through dreadful-seeming documents filled with endless clauses and clusters of legalese. If nothing else, it can help you wrap your head around the info within and any sticking points you might want to mull over. For instance, I fed in an agreement for an upcoming bouncy-house rental for a kiddie (and, if I’m being fully honest, also adult) party we’re having in our backyard. Gemini identified a couple of potentially problematic and not-at-all-necessary sections that were easy enough to ask the vendor to remove. Similarly, I used it to compare a few vexingly similar insurance policies and translate the differences into real-world terms. For those sorts of scenarios or even as a pre-lawyer-meeting preparation, Gemini’s ability to ingest mountains of complex material and then identify and explain important points can be indispensable. 13. Become your manual magician Now that Google’s NotebookLM system is essentially integrated into Gemini, the feat I suggested in my recent collection of practical NotebookLM revelations can also apply to Gemini itself. That involves creating confined notebooks to hold specific manuals and then asking natural-language questions anytime there’s knowledge you need. I did this with the digital version of a manual for a recently acquired vehicle and was blown away by how much easier it became to find info simply by asking what a particular button does. The same strategy can work equally well with manuals for appliances, electronics, you name it. 14. Perform fast web fixes for you Human designers and developers are undeniably important when it comes to creating high-quality web work, but for those teensy little tweaks and frustrating fixes where you used to have to pester a professional, Gemini can now step in to help you come up with a correction—and help your coding-minded colleagues focus their time on higher-level concerns. Try showing Gemini a screenshot of a website you’re responsible for and then explaining what’s wrong or what you want to have changed, while providing any pertinent details about your setup—that you’re using WordPress with a particular theme, for instance—and see what it suggests. It can sometimes take several rounds of back-and-forth iteration, but if you’ve got the patience (and a solid staging site for low-risk experimentation), it can get you to the finish line much more easily than you’d expect. 15. Cook up some spreadsheet sorcery Speaking of coding chops, one area where specialized knowledge has traditionally been required is in the ever-confounding arena of spreadsheets. And while there’s certainly still a place for spreadsheet expertise, you can make your life a heck of a lot easier by letting Gemini guide you toward crafting complicated formulas. Just fire it up, explain what you want to have happen, and ask it to give you the formula you need—for Google Sheets, Microsoft Excel, or whatever specific program you’re using. Or, on the flip side, paste a formula you’ve found somewhere into Gemini and ask it to tell you what, exactly, it accomplishes. 16. Create custom Chrome extensions While full-fledged vibe coding can help you dream up all sorts of insanely customized complete programs, you might not be ready to take the plunge just yet. But you can dabble with the same sort of superpower and feel a sense of its addictive effects by asking Gemini to create a custom browser extension on your behalf. Unlike native applications, web-centric extensions require no compiling or separate steps beyond just taking a series of plain text files Gemini gives you and then plopping them into your browser. (It’ll even walk you through the exact process of doing that.) And with all the time you probably spend working on the web, you can accomplish some pretty spectacular stuff by doing that—like changing the appearance of web apps to better suit your preferences or giving yourself pop-up panels with simple tools you’ve never quite been able to find. It’s also incredibly fun and empowering to play around with—without requiring you to venture into exceptionally geeky waters. 17. Become your prompt-mastering guide Oftentimes, the biggest challenge with Gemini—or any AI chatbot—is figuring out the right approach for wording a request and getting the bot to do what you want. In an amusingly meta-twist, Gemini is actually quite good at advising you on the best way to phrase prompts for itself. The next time you’re struggling to get the service to do your bidding properly, consider asking it what the best prompt would be for the purpose you have in mind. It seems silly, but it often works astonishingly well. 18. Wear the hat of an AI detection agent In a similarly entertaining sense, Gemini is impressively effective at detecting images that were generated by Gemini—or another similar AI tool. It’s not foolproof, but it’s right up there with the best options we’ve got at the moment. If you’re ever trying to decide if an image is genuine or AI-generated, ask Gemini and see what it says. 19. Answer in whatever way you like Maybe you’re someone who prefers reading things in conversational paragraphs—or in short, succinct lists. Or maybe you like having a detailed, in-depth answer with a “TL;DR”-style summary at the start. Whatever the case may be, if you ask, Gemini shall oblige. Tell the service exactly how you prefer to have your info provided as part of your next prompt—or, if you want it to always follow a specific formula, tell it to always answer in that way, and it’ll adjust your account-wide preferences. You can also check any saved settings along those lines and modify them directly on the Gemini instructions page. 20. Transform into an entirely new personality Why stop at formatting? Gemini has the ability to completely adjust its personality and act in any way you want—again, either for a specific prompt or in a more generalized and ongoing sense. You could ask it to become a tough but supportive coach, for instance, or a lifelong friend who’s always brutally honest and direct with you. Or you could request it to take on the role of specific jobs, like a veteran software engineer, a travel agent, or a legal adviser—or even some combination of different identities. The possibilities are practically endless, and you never know what might resonate and prove to be useful until you try. By JR Raphael

AI Was Supposed to Replace Sales Teams. Here’s What’s Happening Instead

“Distribution is the new moat” is the hot new phrase in business circles. VCs are saying it. Consultants are saying it. Entire frameworks have been built around it. They’re right that distribution matters. They’re wrong about what distribution actually means. The popular argument goes something like this: AI has collapsed the cost of building software, so the only remaining advantage is to build an audience and get to those customers before a competitor. That’s the starting point. But it’s not a moat. Distribution is more than building an audience Anthropic, the mega-AI company behind Claude, has millions of social media followers and created one of the most viral products in history. Yet as of this writing, the most in-demand role at the company is… sales. You read that right. Anthropic is currently hiring more salespeople than engineers and product managers. The company that predicted AI would replace salespeople is now hiring hundreds of them. Here’s what Anthropic knows better than anyone: Building a viral product and massive audience is not the same as having a distribution moat. Real distribution muscle comes from the capacity to build relationships at scale, expand your footprint within organizations, and turn one-time customers into repeat business. In other words, real distribution muscle is built in the sales organization. The distribution moat is created through expansion and retention So, distribution is about landing new business? Yes, but that’s just the beginning. The real distribution moat starts to form when you have a system designed to retain and expand existing customers. Wasabi, a Boston-based cloud storage company, is a case study I’ve taught at Harvard Business School for years (full disclosure: I’m also on the board). They scaled from a few hundred thousand dollars in revenue to hundreds of millions. Their strategy? Good ol’ fashioned channel sales. Working with resellers is not sexy or on trend, but it’s one of the most durable distribution channels around. Resellers have relationships with the end users you want. You are creating essentially two layers of lock-in: One with the resellers and one with the resellers’ customers. Today, over 14,000 channel partners work hard to sell and expand Wasabi’s install base. But making this channel a success was not easy. Wasabi made two key changes: First, they aligned sales incentives to compensate their own salespeople for selling through channel partners. They created a special version of their product to encourage channel salespeople to sell Wasabi cloud storage over competing cloud and on premises storage. Channels sales reps started pushing Wasabi over Amazon cloud storage or EMC on premises storage. Second, they changed how they measured success. Onboarding channel partners is one thing. But could they actually sell the product? Wasabi decided on a KPI of “Time to Second Sale,” to measure and incentivize their top partners. Anyone can make one sale. The second sale is proof of a relationship. And relationships, not features, are what competitors can’t copy. Relationships—not distribution—are the real moat In the age of AI, everyone can build. But not everyone can sell, expand, and retain. Founders who treat distribution as audience-building are playing a different, shallower game than founders who treat it as relationship-building at scale. The moat isn’t how many people have heard of you. It’s how many people can’t imagine operating without you, because someone at your company took the time to understand their business, earn their trust, and keep showing up. AI can help you reach people faster. It cannot replace the human judgment, persistence, and relationship-building that turn a first sale into a second, a second into an expansion, and an expansion into infrastructure. Before you hire your next engineer, ask yourself: do you have the sales and customer success capacity to actually turn your distribution into a moat? BY LOU SHIPLEY, SENIOR LECTURER, HARVARD BUSINESS SCHOOL

Bots Now Outnumber Humans Online. Here’s What It Means for Your Business

It was only a matter of time before bots outnumbered humans on the internet, but many experts thought the flesh and blood majority would stand for a few more years. They were wrong—and the impact on business owners could be significant. New data from Cloudflare shows the number of bots accessing websites over the past seven days outnumbers human web users, with about 57 percent of web traffic coming from bots, who are busy browsing, querying, summarizing, shopping, researching, and scraping, increasingly via AI agents. “Welp, that happened faster than I predicted,” wrote Cloudflare CEO Matthew Prince in a social media post. “Thought it would be end of 2027, then early 2027, but agentic traffic [is] growing so fast that bots have now passed human traffic online for the first time in the internet’s history.” For business owners, that could mark the beginning of a new phase in how to handle business online. Instead of using the internet to attract human customers, it could be time to consider whether to structure your site to attract bots, say some experts. “Stop building for the human eye and start building for the machine mind,” says Rajiv Garg, a professor at Emory University’s Goizueta School of Business. “If an AI agent can’t read your data, you don’t exist.” The hurdle with that approach, though, is just as human visitors might either be customers or hackers looking for a weakness, not all bot traffic is the same. Some bots are malicious. Some are crawling for search engines. And some are sent from AI agents on behalf of potential customers. The challenge for businesses — and their tech teams — is figuring out which bots are which. “There is no protocol to verify whether an AI agent is acting on behalf of a real person, whether it has been authorized to perform its actions, or whether it is benign or hostile,” says Zach Meltzer, CEO and founder of Miami-based VeryAI, a ‘proof of reality’ platform designed to verify human identity and prevent AI-driven fraud. “Platforms cannot differentiate between a personal AI assistant booking a flight for its owner and a bot farm scraping data. The current workaround — forcing agents to impersonate humans via browser automation — is inefficient for legitimate agents and trivially bypassed by malicious ones.” There are also cost issues with bot traffic that business owners need to consider. Automated traffic can chew up bandwidth and impact analytics without generating any revenue. That could result in higher than expected bills, which could hurt the bottom line of companies that have smaller infrastructure budgets. While customer acquisition is expensive, human visitors are more likely to result in a sale, a subscription, or a viewing of content. Additionally, as bot visitors increase, it becomes more difficult for business owners to connect web traffic with customer demand. Garg suggests that the era of winning customers with creative web design is coming to a close, and future online iterations should move away from visual interfaces and more toward lean sites that emphasize behind-the-scenes data exchanges. “The internet is shifting from a destination [that] humans visit to an invisible infrastructure that AI agents navigate for us,” he says. “Your tech budget needs to shift from beautiful UIs to robust bot interfaces. Don’t build a better website. Build an MCP (Model Context Protocol) server that lets the AI ecosystem seamlessly transact with your business.” For instance, one SaaS company, Monday.com, has created an AI agent-only sign-up flow on its website. It employs a reverse CAPTCHA system that it says only AI can get through. That could increase your business’s chances of AI chatbots recommending your site to users, much like today’s search engines do. The shift from primarily human users to primarily bots is one experts have been predicting for quite some time. Automated traffic across the internet grew almost eight times faster than human activity in 2025, according to the 2026 State of AI Traffic report from cybersecurity firm Human Security. Cloudflare calls it the next phase of the internet’s evolution, but cautions that it will create challenges that current IT infrastructure and cybersecurity were not designed to handle. “IT leaders now face fundamental questions about trust, visibility, and control that traditional architectures can’t answer,” the company said in a blog post. “The organizations that recognize this shift — and redesign their infrastructure accordingly — will shape how the internet evolves. Those that don’t will find themselves constantly outmaneuvered.” BY CHRIS MORRIS @MORRISATLARGE

The Flaws in Mass Layoffs for AI Productivity Are Beyond Obvious Now

Just when I thought I was done calling out tech CEOs for horrible mass layoff decisions, one of those CEOs doubles down on the mass layoff rhetoric. So here’s what we’re gonna do. You know how, when your mom or dad tried to give you solid life advice that just didn’t stick, they ended up sitting you down and listing out the flaws in your reasoning one by one? Well, sit down, kid. And like I tell all my kids: Look, I’m gonna yell at all of you, but I’m really only yelling at one of you. You’ll quickly figure out if you’re the one I’m actually yelling at, but it’s not gonna hurt any of you to hear what I have to say. This Could Be Any Corporate Tech CEO My opening histrionics aside, I want to make it clear that I’m not really trying to smack anyone individually. What I’m about to criticize is not the work of a single misguided leader, it’s the culmination of a spreading misguided follow-on leadership strategy. I also want to apologize if any of this comes off as flaming the writer or the publication behind the article I’m going to use as an example, because it literally could have been any tech CEO speaking to any publication after cutting double-digit percentages of their workforce and being all super-pumped about the future. It is such a bad look, so good job exposing it. But I guess we’re all numb to it now, when we read things like: “What [tech company’s] mass layoff tells us about the future of work” I encourage you to read the article. Go ahead and give the author some respectful clicks, because they get it right at the end, with facts. But ultimately you don’t have to read it because I’m about to take apart the “fire-all-the-humans-and-replace-them-with-AI” strategy point by point. This Isn’t a New or Novel Strategy Let’s start at the top: “Zeb Evans, CEO of the collaboration software startup ClickUp, claims that this shift is imminent. Last Thursday, Evans announced on X that the company, which was last valued in 2021 at $4 billion, had laid off 22% of its workforce.” A couple of things are quickly evident. First, this appears to be the same “everybody’s gonna eventually do it” reasoning that Jack Dorsey used when Block laid off 4,000 people just a couple months ago. Second, it’s not a coincidence that the company was last valued in 2021 at $4 billion or that that might have been its peak. 2021 was the acceleration point of the Great Labor Arms Race, and Corporate Tech companies across the industry started hiring people ill-equipped for poorly-defined roles at salaries that would have broken the bank if money wasn’t so cheap—or even free, via automatically forgiven loans. But the pretzel logic that gets used here is what makes this follow-on strategy especially obtuse. When Cutting Costs Isn’t Cost-Cutting The CEO “characterized that reduction as not a cost-cutting measure, but rather a radical embrace of AI that will propel the company to the next level.” Quick question: When is cutting 22 percent of your labor costs not a cost-cutting measure? I’ll just let that one hang. I’m not a mean person, really. The Biggest Mistake a CEO Can Make “‘Most savings from this change will flow directly back into the people who stay. We’ll be introducing million-dollar salary bands. If you create outsized impact using AI, you’ll be paid outside of traditional bands,’ Evans wrote.” One of the best lessons a mentor ever gave me about leadership is: The worst mistake a leader can make is looking at a chart that goes up and to the right and believing that chart will always go up and to the right. It never works out that way, but the temptation to think it will is always there. Using my mentor’s advice, I have several questions: Is this CEO talking about paying a percentage of profits based on whatever metrics they invent to show “outsized impact created by using AI”? Does the CEO plan to keep paying that employee their $1-million salary when the “outsized impact created using AI” returns to the mean? Quick follow up: Does that keep going until it breaks the budget or is this just, like, an MLM thing? If not, and the CEO does the sensible thing that every other company in the history of companies has called “commission,” won’t that employee just hop to the next company when that company offers them a $1-million salary to do what they just did? And then finally, let’s do the cut-throat AI thing that serves as the reason for the 22 percent “savings” in human labor: Once that “outsized impact created by using AI” materializes, why do you still need that employee? Especially if you’re now paying them a million-dollar salary? Isn’t that more “savings” just waiting to be “saved”? Making a Fortune Babysitting That last question kind of introduces another question: What are we paying these employees a $1-million salary for? “ClickUp recently introduced roughly 3,000 internal AI agents to handle a wide range of complex tasks on behalf of its employees…. Instead of performing the work themselves, staff members are now expected to direct these agents and ultimately review the output to ensure it meets the company’s standards.” Are we planning on paying million-dollar salaries to babysit agents? Because the last year has shown us that’s not where the seven-and-eight figure salaries are going. The 100x Productivity Myth “Evans’s goal, according to his X post, is for AI to turbocharge ClickUp into a ‘100x org.’” I’ve been on the AI front for over 16 years, and I get called a “100x guy” or a “10x guy” a lot. I don’t know what that means, but it sounds cool so I just smile and say thank you and get back to the data. Actually, I do know what it means, in another context, because I’ve spent my entire career as an entrepreneur and/or consultant, and have worked with a vast array of venture capital and private equity firms and their strategies. One of those strategies, familiar to everyone, is to create ROI by what I’m going to dub “numerator-maxxing” (see, I can make up buzzwords too). The strategy starts out logical enough. The company that the firm is investing in is doing something very right. Their numerator—the value that the company is generating—is a lot higher than their denominator—the money and sweat effort and brainpower being put into the company. The firm believes that the company’s numerator is artificially low and is being constrained by a weak denominator. So the firm dumps a bunch of money into the denominator. That’s their bet. When this happens, the numerator almost always increases. Where it goes wrong is when, a couple years into it, the numerator has not increased by orders of magnitude to compensate for being weighted down by a heavy denominator. One hundred over 10 is a much bigger number than 1,000 over 1,000,000. Sorry for the math. So yeah. Machines are less weight in the denominator than humans, and you can also add exponentially more of them to the denominator without it getting much heavier. But what do they add to the freaking numerator? Where AI and agent productivity is concerned, no one—no one—is looking at the numerator. Well, no, wait. Gartner took a look. Vindication Isn’t What It Used to Be Like I said, the writer gets a lot right at the end, and does it without my cartoonish fist shaking. In response to the metric most commonly used to measure that “outsized AI impact”: “[C]ritics argue that “tokenmaxxing”—as this concept is known—is the wrong metric because it simply racks up AI expenses.” In response to the company’s incredibly circular claim that people who automate their jobs with AI will always have a job: “But if AI keeps taking over more tasks, ClickUp will eventually need fewer and fewer people.” However, the most damning truth came from a quick mention of a quiet study from Gartner on ROI from AI-as-labor-replacement, just three weeks ago, from which I wish the writer had pull-quoted: “Many CEOs turn to layoffs to demonstrate quick AI returns; however, this disposition is misplaced,” said Helen Poitevin, Distinguished VP Analyst at Gartner. “Workforce reductions may create budget room, but they do not create return. Organizations that improve ROI are not those that eliminate the need for people, but those that amplify them by aggressively investing more in skills, roles and operating models that allow humans to guide and scale autonomous systems.” Am I still Don Quixote for screaming about this for the last 16 years? In fact, I said the same thing yesterday when highlighting the unintended consequences of this misguided follow-on leadership strategy, and it still feels like the loud part being said far too quietly. It will always be the humans behind the tech that will make the tech successful—not the babysitters, not gamification, not agentmaxxing, tokenmaxxing, or numerator-maxxing. So if any of those leaders see this rhetoric and still believe these mass layoffs are about AI and not about mistakes made by leadership a few years ago in hiring the wrong people for roles that were never clearly defined at salaries that never should have been offered, I’m begging you, think twice before you agentmaxx. The flaws are now obvious and documented. There is nowhere left to hide. EXPERT OPINION BY JOE PROCOPIO, FOUNDER, JOEPROCOPIO.COM @JPROCO