Google Report: 86% of AI Use Happens Outside Work

Google Data Compares Gemini & AI Mode Use Against Daily LifeGoogle's new AI & Economy report compares Gemini and AI Mode conversations against how Americans spend their days. The post Google Data Compares Gemini & AI Mode Use Against Daily Life appeared first on Search Engine Journal. https://lnkd.in/eNrD8nAw

Google just published the first real map of how people actually use AI, and the answer isn’t quite what most of the doom headlines have been telling you. The report is called the AI and Economy ATLAS, and it’s built from 15 million anonymized conversations pulled from the Gemini app, AI Mode in search, and the Gemini API. That’s spread across 150 countries, 140 languages, and roughly 4,000 different tasks across 800 occupations, so this isn’t a small survey with a margin of error. It’s closer to a census of how a lot of the world is actually talking to AI right now. The biggest number in there: 86 percent of that AI use has nothing to do with work at all. People are using it to compare prices while shopping, plan a family trip, or get through some annoying piece of paperwork nobody wanted to deal with. The office use case, the one everyone argues about online constantly, turns out to be the smaller slice of the pie. At work, AI does touch something like 68 percent of occupations, covering roughly 90 percent of US employment in some form or another. But even there, people are only handing over about a fifth of their actual job to it. And most of that fifth is collaboration: brainstorming, drafting, checking work, catching mistakes, not full automation where a task disappears and nobody does it anymore. That lines up with what a lot of us have felt using this stuff daily instead of just reading hot takes about it. It isn’t replacing people’s jobs wholesale. It’s absorbing the tedious slice of everyone’s day, the stuff nobody enjoyed doing in the first place. That’s a far less scary story than the one that usually gets clicks, and a far more useful one if you’re actually trying to figure out where any of this is headed next. —— Follow: @Ali Demi Book your free AI clarity call, NOW! https://buff.ly/TpWy277 —— Sources: https://lnkd.in/g7ygcZK9 https://lnkd.in/et3SFEvn https://lnkd.in/g7b_UZf6 Repost this. Thanks.

If you're feeling behind on AI, don't worry. Recent data shows only 6% of office workers have found meaningful, consistent reasons to use it at work. That *includes* software engineers. That leaves 94% who only use AI for basic stuff, like replacing Google or writing emails - or barely at all. So despite all the headlines, models, apps, and content out there, there's still an adoption issue. It's overwhelming for everyone. We all feel behind. But it's hard if you don't think about your work as a set of processes, or you don't think you're tech savvy. It's like there's a secret language you need to command the AI to do things. So if I had to start from scratch today, here's what I would do: 1. Find the Right Use Cases: Start an AI chat and ask, "Interview me about what I actually did at work last week and how often I do those things. Then tell me which you could help me with and how." 2. Learn Skills: Every major AI platform has some version of Skills. Learn how to build one to help you every week. (See #1) 3. Read One Book: The AI-Driven Leader by Geoff Woods will help you understand the secret language of talking to AI. 4. Practice: Consuming content won't make you better.

Three signals from this week in AI. One story. Microsoft committed $2.5B and 6,000 engineers to a new unit focused not on building models, but on helping clients actually implement them. Amazon put $1B behind the same play days earlier. Anthropic and Open AI already have their versions. Ford quietly rolled back its AI-for-engineering initiative the models couldn't match experienced engineers on the parts that mattered. Forbes And US Census data shows small business AI use has plateaued below 20 employees. Most tried it. Few made it operational. U.S. Census Bureau The market is moving past the model wars. Intelligence isn't the scarce resource anymore. Implementation is. The gap between "we use AI" and "AI drives our revenue" is where the next decade of value lives. For US small businesses, this is the opening. You don't need the biggest model. You need someone who can wire it into your actual workflow. That's what HurTech was built for.

Be the best at elevating your work with AI and automation and you will be busier than ever. Remember it was the AI labs who fabricated this job loss story first to demonstrate the capabilities of their products and to gain free media attention. Done well, firms add capabilities with machine learning, data projects, and AI and you will work on more exciting projects. Less admin, more knowledge work. Plan to quit because you learn faster than your organisation or you don't want to put up with a pay cut when your output is 3x? Join the waitlist for AI webinars for founders. Info@addvelocity.co.uk Subject: AI for founders

Is your business description accidentally turning potential customers away? Day 5 of our AI series is all about the 'Bias Check'. 🤖 Sometimes, the language we use in our Google Business Profile or website can contain unintentional bias or industry jargon that makes customers feel excluded or confused. The good news? You can use AI to audit your listings and ensure your messaging is welcoming, clear, and professional. Why this matters for your local visibility: ❌ Complicated jargon creates barriers to entry. ❌ Unintentional bias can damage your brand trust. ✅ Inclusive language broadens your customer base. ✅ Clear descriptions lead to higher conversion rates. Small improvements in how you describe your services can make a big difference in how many enquiries you receive. 👉 Want us to run an AI audit on your profile? 📩 Message "BIAS" today for a FREE visibility and language check! #LocalVisibilityUK #GoogleBusinessProfile #SmallBusinessSupport #AIBusinessTools

For years, I've encouraged people to Google themselves to see what potential customers find. Now I have a new challenge—one I'll be adding to all of my trainings this fall. Search for your product or service using your favorite AI tool. More and more people are using AI to find local businesses, recommendations, and service providers. So ask it the same questions your customers might ask. Where do you show up? Who are your AI-generated competitors? Are there businesses being recommended that you've never even heard of? I was surprised to see several companies just down the street from me that I didn't know existed. Then ask yourself the bigger question: What can you do to improve your visibility in AI search? That's a much bigger conversation—and one I love helping businesses navigate. As a test, I asked, "Who should I hire to do my social media in Parkersburg, WV?" I was happy to see WV Social Media Consultants listed first. AI search is quickly becoming another place where first impressions matter. If you're not checking how your business appears there, now is the time to start.

We’ve become surprisingly comfortable sharing our inner lives with AI. Something I’ve been thinking about lately. We’ve quietly stopped guarding our personal boundaries with AI the way we guard them everywhere else. We paste medical reports into a chat to get a second opinion. We share salary numbers to ask if we’re being paid fairly. We talk about family problems, health worries, career decisions and things we may not even tell some friends. It doesn’t even feel unusual anymore. It has just become part of everyday life. Many AI products now give users a way to limit or opt out of conversations being used to improve their models. Every provider is different. But honestly, how many of us have ever checked those settings? How many even know they exist? Here’s the part that keeps me thinking. For each of us, it’s just one conversation. One question. One problem we want help with. But when you zoom out, millions of people are doing the same thing. That creates something we’ve never really had before. Millions of honest conversations where people explain how they think, what they worry about, how they make decisions and what they value. I’m not saying anyone is doing something wrong. This isn’t a conspiracy theory either. It’s simply what large amounts of conversational data can make possible. Which makes me wonder if we’re asking the wrong questions. Most of the discussion today is about privacy, GDPR and where the data is stored. Those are important conversations. But knowing where the data sits is only part of the story. What about the patterns that can be learned from millions of conversations? What about the collective understanding that can emerge from people simply asking honest questions every day? Shouldn’t we be talking more about that too? Not just as regulators or technology companies, but as citizens. I’m not saying we should stop using these tools. I use them every day and they genuinely help me do better work. I just don’t think we’ve fully thought about what we’re collectively building on the other side of that text box. Curious to hear what others think. Is this something you’ve thought about too, or am I overthinking it?

Google just dropped its first-ever ATLAS report, claiming the transparency crown in AI adoption data. While everyone else touts vague milestones, Google is throwing down actual empirical research to track how we are *really* using AI day-to-day. Why it matters: This could change the AI market's playbook. Google's move isn't just about bragging rights; it's a direct challenge to competitors who’ve been keeping usage stats in the shadows. The data could reshape how enterprise buyers evaluate AI tools, focusing less on hype and more on measurable productivity. But here’s the bigger point: ATLAS might push the entire industry toward standardized benchmarks, making it easier to separate genuine value from noise. If the report becomes ongoing and comprehensive, vendors will face growing pressure to follow suit or risk looking like they’ve got something to hide. The question: Will a shift to tangible usage data force the AI industry's hand, or will most players avoid the transparency game? Follow me for daily tech insights, where we unpack the *real* shifts driving innovation. #AI #TechLeadership #GoogleAI #AIAdoption #EmergingTech

It looks like Google Analytics gave us all a little present this weekend in the form of the updated default channel grouping for "AI Assistant" - checking it against the standard source filter it's also accurate as I compare. It won't look back but be going forward. Now, when you take a look at it for your #GA4, that number of users is going to look small and that's ok. Success in the AI world is about traffic to your website AND about how visible you are in those zero searches/cited results/chat history. cc @Colleen Harris