Ai For Business

... 8,333원 BusinessPlan ChatGPT Business 품절 12개월...능합니다. - Business: 팀·업무용으.... - 추천 용도: AI 글쓰기·코딩...

... 8,333원 BusinessPlan ChatGPT Business 품절 12개월...능합니다. - Business: 팀·업무용으.... - 추천 용도: AI 글쓰기·코딩...

... 8,333원 BusinessPlan ChatGPT Business 품절 12개월...능합니다. - Business: 팀·업무용으.... - 추천 용도: AI 글쓰기·코딩...

... 8,333원 BusinessPlan ChatGPT Business 품절 12개월...능합니다. - Business: 팀·업무용으.... - 추천 용도: AI 글쓰기·코딩...

... 8,333원 BusinessPlan ChatGPT Business 준비중 12개...능합니다. - Business: 팀·업무용으.... - 추천 용도: AI 글쓰기·코딩...

... 8,333원 BusinessPlan ChatGPT Business 준비중 12개...능합니다. - Business: 팀·업무용으.... - 추천 용도: AI 글쓰기·코딩...

... on… they are reshaping their business to be FOUNDRY first! That’s... the major BOTTLENECK in the AI trade limiting some profits for ...

... don’t just build and sell AI tools and platforms. We are... marketing now run “thousands of AI agent sessions each day.” “That... for the agentic AI era,” stated the memo, obtained by Business Insider. Cloudflare...

... the accelerated momentum?** New Agentic AI trend now has more deployment... Intel and AMD the big AI players. The thought is that... about 2 years for overall AI market. GPU sales will grow... the autonomous and application (edge) AI agents. Intel has advantage of... on both the technical AI paradigm shift and business outlook of AI growth and Si...

... of a genuinely viable quantum business positioning Big Blue for the... leap. The fear that AI would eliminate the consulting business, focusing on the... players would simply defer to AI for such a critical infrastructure ...

... rest of Tech manufacturers on Ai so they pretty much did... themselves. Consumers never asked for Ai or for tech companies to ...jump all in on Ai. It's really hard to feel ... the band wagon, its big business, if you are not doing ...

...care about helping make advanced AI go well for the ...,000 Hours thinks about recruiting. Business Operations Associate / Specialist — Apply ... jurisdictions. Video team Our AI in Context YouTube channel makes... documentary-style videos on transformative AI. Past videos include "We're ...and "If You Remember One AI Disaster, Make It This One...contract on videos for our AI in Context YouTube channel. ...

...(QCOM) is aggressively expanding into AI data center infrastructure, primarily targeting... energy-efficient AI inference workloads with new accelerator...strategy beyond its core smartphone business, leveraging its NPU expertise for... like Nvidia. Overall: QCOM’s AI data center exposure is a...driver tied to the broader AI infrastructure boom. Expect initial ...

... essentially. My friend started the business and it's exploding with popularity. ... I guess is a new business opportunity: Grow it and get... guys online. https://www.skywatch.ai/us/blog?_gl=1*1lmcp6q*...

with the advances in AI and now clawback I am to move my business to my own website and advertising to Google through ppc spend . F Amazon. 8% price increases a year from 2018- 2023 -

... open to any individual or business Source Note: At the time... exhibition presence. Google Maps/Google Business Profiles: Search for "art galleries... tools How to leverage an Ai Assistant to find domain leads... a domain to an existing business​ Approaching a business to sell a domain... tools How to leverage an Ai Assistant to find domain leads...

... companies do their own specialized business and do it better than... digit growth YOY. Anyone advertising AI chips or software is being.... This is not a sustainable business to be in for long...

... increase, and directly impact the business. Sony and Microsoft both increased... and giggles, here's what the AI (GPT5.5) says about the ... in market conditions” and “global business outlook”, and they explicitly say ...: capacity being reallocated toward higher-margin AI memory (HBM), tightening conventional DRAM/...] I included this, because using AI to explain the RAMpocalypse is ...

... a keynote focused on scaling AI infrastructure, edge intelligence, and physical... AI deployment. \[[1](https://finance.yahoo.... a fireside chat regarding Intel's business and corporate strategy. \[[1](https...

FPT tốt trong quá khứ nhưng u ám về tương lai, AI tác động cực kỳ sâu sắc đến business FPT, chẳng qua số liệu hiện tại chưa phản ánh liền. Khả năng FPT về 5x-6x là hoàn toàn có thể.

I’m sick of it. Take a crayon and write out the time and date for your event. Open MS Paint and click four buttons. It’s lazy and frankly offensive. Stop defending it. If your business is advertising using a sepia-toned Chat GPT bullshit flyer, it tells me where NOT to spend my money. submitted by /u/Subject_Balance281 to r/asheville [link] [comments]

I know, I know. "Zoom? That's a 2020 pandemic relic, right?" That’s exactly what the market wants you to think while it ignores one of the most insane valuation disconnects in tech right now. If you look at the math, $ZM it’s a massive pile of cash and a hidden AI moonshot that the market is valuing at almost zero. Most people don’t realize Zoom was an early strategic investor in Anthropic back in May 2023. The Entry: Zoom invested roughly $51M when Anthropic was valued at just $4.5B. The Current Reality: As of this week (April 2026), Anthropic’s implied valuation on secondary markets (like Forge Global) has touched $1 Trillion, officially overtaking OpenAI. The Math: Even accounting for heavy dilution from Anthropic’s massive Series G and recent funding rounds, a \~1% stake in a $1T company is worth $10 Billion. The $8B Cash Fortress Zoom is sitting on $7.8 Billion in cash and short-term investments with zero debt. They generate roughly 1.7B - $1.9B in Free Cash Flow (FCF) annually. They aren't burning money to grow; they are a cash-printing machine that just happens to have a video app. The Free Business Logic Let’s do the "back of the napkin" math on the valuation: Current Market Cap: ~$25 Billion Minus Cash: -$7.8 Billion Minus Anthropic Stake (Estimated): -$10 Billion (conservative adj. for liquidity) Remaining Enterprise Value (EV): $7.2 Billion The market is saying Zoom’s core business—which generates $5 Billion in annual revenue and has 75%+ gross margins—is only worth $7.2B. That is an EV/FCF multiple of roughly 3x For context, legacy dying businesses usually trade at 8-10x. Zoom is being priced like it's going bankrupt tomorrow, despite having a massive enterprise moat and a dominant seat at the AI table via their Claude integration. IPO Catalyst As Anthropic prepares for an IPO (rumored for late 2026), investors are going to look for ways to get exposure. You can't buy Anthropic on yet but you can buy the company that owns a multi-billion dollar piece of it. When the market realizes they are essentially getting a global enterprise software leader for a 3x multiple—plus a lottery ticket to the world's most valuable AI startup—the re-rating is going to be violent. TL;DR: You’re buying $17.8B in hard assets (Cash + Anthropic) for $25B. You’re paying $7B for a business that nets $1.7B a year. It’s a crazy margin of safety. Not financial advice. I like the stock and the math. submitted by /u/Zeneph007 to r/ValueInvesting [link] [comments]

So this viewpoint will be entirely qualitative by nature, as I do work in investing in startups, but I am not a technical AI founder. I have used ChatGPT since the week it came out, every single week. I have also used Claude weekly for the past year, if not daily for both. When these tools were created, they were incredibly useful for answering basic questions, writing or editing, and for coding. Yet almost three years later, I believe that they have gotten worse, not because the models are less powerful, but because people now understand and recognize the prose of an LLM. It does not write like a human, it does not reason like a human, and it cannot write a better essay than even a senior English undergraduate at an Ivy League school. I work in finance; it can build some okay base financial models, but it cannot go much beyond that. Not only that, but in all of these use cases, it is very clear when an AI model has done the work. There is almost an “AI stamp” on it from the way the prose and modeling are presented. People are getting sick of it; if you see AI on any media, it does not get as much engagement. This will continue to get worse, not better. Beyond that I have stopped using it to write almost anything because I noticed my writting was getting a lot worse, and I love to write. As people start to outsource there skillset they will notice the same thing, and use it less (I hope) The hype machine will die down. Everyone has caught on to how these companies fundraise, and the idea that these are essentially threats to the world, I believe, is not true or as dramatic as they claim. Every researcher I have spoken to has been very clear that these models will not reach some sort of AGI until they interact with the world, more similar to humans or the world models now being built like AMI Labs . These are now being built, yes, but again will take over 10 years. Pro: these are still amazing tools. I have made amazing apps, and it has helped my productivity in some ways. I think they will be great additions to the economy, but no, we do not need to bet our entire futures on them. The SpaceX IPO will be a catalyst for shifting the economy toward something different. Since COVID, the economy has been on stilts, and AI has filled that gap. But with a new investment thesis to rotate out of AI, this could start the decline of the AI bubble. submitted by /u/Exotic_Union7609 to r/changemyview [link] [comments]

From 9to5Mac: To put it simply: Apple Silicon is impressively optimized for running local AI models. And the data is clear: people care about this. Mac Studios are widely sold out, and Mac minis are impossible to find. There’s a variety of reasons for this – like OpenClaw and other computer-use agents. But there’s also a group of people buying up high-end Macs with swaths of unified memory, which are incredible for running local LLMs. submitted by /u/pdfu to r/apple [link] [comments]

Quick background: I run a small consultancy helping businesses add AI to their workflows. When I started 8 months ago, I was obsessed with building the most sophisticated AI agents. Think multi-step reasoning, custom RAG pipelines, the whole fancy stack. I'd pitch prospects on "transformative AI solutions" and watch their eyes glaze over. I closed almost nothing. The turning point: A local plumbing company (yes, really) reached out after seeing a Reddit post. They didn't want AI agents. They wanted to stop losing leads because they couldn't answer phones while on jobs. I built them a simple SMS auto-responder that: Captures lead info via text Sends it to their CRM Schedules a callback reminder Total build time: 3 hours using basic tools. No LLMs, no vector databases. Just logic. They paid me $1,500 and referred me to 2 other contractors within a month. What I learned: Nobody cares about "AI" - They care about not missing leads, saving 10 hours/week, or stopping data entry headaches. The technology is irrelevant to them. Boring problems = paying customers - Everyone's chasing "AI transformation." Meanwhile, businesses are drowning in copy-paste work, missed follow-ups, and manual data entry. These are solvable today. Simple sells - I now lead with "I help you stop doing [specific painful task]" instead of "I build AI automations." Conversion rate went from ~5% to ~35%. The "AI" part is often overkill - 70% of what I build now is just smart workflow automation with basic decision logic. Sometimes I add AI for text processing or classification, but often it's just if/then rules. What's actually working right now: Lead capture & follow-up automation (contractors, real estate, local services) Invoice processing & data extraction (accounting firms, small manufacturers) Customer onboarding workflows (SaaS, coaching, professional services) Internal knowledge search (teams drowning in Notion/Google Drive) Where I'm stuck: I'm struggling to consistently find businesses that: Have the problem Know they have the problem Have budget to solve it My best channel has been Reddit (like this post), but it's not exactly scalable 😅 Questions for you: If you run a small business, what's the most time-wasting repetitive task you deal with weekly? For those who've implemented AI/automation: what actually moved the needle vs. what was hype? How did you find your first 5 clients when starting a service business? (Desperately looking for channels beyond cold outreach) Not selling anything here - just genuinely trying to figure this out. Would love to hear your experiences, especially the failures. Thanks for reading. submitted by /u/National_Farmer_850 to r/EntrepreneurRideAlong [link] [comments]

So I came across agentic AI, workflows, n8n, and systems, but the thing is, I honestly don't know what kind of problems businesses face, and how much they are willing to pay for it, can anyone help me? submitted by /u/Lost_Budget_7355 to r/AiAutomations [link] [comments]

Every day on here, people vibecoding another SaaS. Landing page, waitlist, no users. 47 other guys shipped the same thing this week. SaaS is cooked. Anyone can build one. Distribution is all that matters and you don't have it. Go talk to small businesses instead. I'm not saying build them a website. I'm saying build them AI systems. Internal search across their messy docs. Something that answers questions from their contracts and policies. Automated follow-ups from their CRM data. The best part? You don't even need to sell. Every business owner right now is panicking about AI. They see it everywhere, their competitors are talking about it, they WANT to implement it. They just need someone who can actually do it. This is the first time in history where the client comes to you with the FOMO already built in. You just need to deliver well and get referred. They'll pay $3-5k to set it up and $500/mo to keep it running. The stack: Claude Code ($100/mo). Learn whatever you need as you go Composio. Hook into the tools they already use ZeroEntropy. Make sense of their messy docs and old data GL! M submitted by /u/meldrumh to r/AskVibecoders [link] [comments]

submitted by /u/BusyHands_ to r/technology [link] [comments]

not looking for tool recommendations, more curious about actual workflows people have set up. for me its lead follow up and ad reporting. i used to spend 2-3 hours a day on follow up emails and pulling numbers from facebook ads. now its all automated and i just review the summary each morning. whats the one thing ai handles for you that you used to do manually? bonus points if its something boring that nobody talks about submitted by /u/treysmith_ to r/AiForSmallBusiness [link] [comments]

I've been building AI chatbots for small business websites for a while now, first as custom builds for consulting clients and now as a product. the gap between what chatbot companies market and what small business owners actually need is massive. here's what i've seen working with real businesses: they don't care about AI. not once has a business owner asked me what model i use or how the retrieval pipeline works. they care about one thing: does it answer questions about my business correctly. the moment the bot knows their pricing, their services, their FAQ without them having to manually program every answer, they get it. before that it's just another chatbot. business owners do not want to configure anything. every tool that requires building decision trees or writing scripted flows loses them immediately. they don't have time and they don't want to learn another platform. the tools that work for this audience are the ones that pull from what already exists, their website, their docs, their FAQ page, and just work. the less setup the better. lead capture matters more than conversation quality. this surprised me. i thought the AI quality would be the main value prop. but what business owners actually get excited about is knowing that visitors who would've just left the site are now leaving their contact info. for a lot of small businesses a mediocre chatbot that captures leads is more valuable than a brilliant one that doesn't. handoff to a human is a feature not a failure. i used to think the goal was making the AI answer everything. business owners think differently. they want the bot to handle the easy stuff and flag the hard stuff. trying to make the AI handle 100% of conversations is an engineering goal not a business goal. most owners are perfectly happy with "the bot answered the simple questions and sent me an email when someone needed real help." the businesses getting the most value aren't the ones with the most traffic. they're the ones where customers ask the same 5-10 questions over and over. a dentist's office where every other call is "do you accept my insurance." a restaurant where people keep asking about allergens. an agency where prospects ask "what's your process." if answering those questions eats up hours every week, even a basic chatbot pays for itself immediately. nobody wants 50 features on day one. every chatbot tool markets this massive feature list. analytics dashboards, sentiment analysis, multi-channel integrations, custom workflows. small business owners see that and their eyes glaze over. they want one thing working well today. you can add complexity later once they trust the tool. the biggest competitor isn't another chatbot tool. it's doing nothing. most small businesses have never used any chatbot before. you're not convincing them to switch from a competitor, you're convincing them this category is worth trying at all. that means the first experience has to deliver value fast or they'll abandon it and go back to answering emails manually. submitted by /u/FinanceSenior9771 to r/aiToolForBusiness [link] [comments]

submitted by /u/PC-Guide to r/RigBuild [link] [comments]

I’ve tried a bunch of AI tools for my business, and honestly, only a few have really stuck. (using ChatGPT and Claude as of now). Some sounded great at first but didn’t end up being that useful once the novelty wore off. I’m always curious to know what’s actually working for others. Which AI tool has been the most useful for your business so far? What do you use it for, and why has it earned a permanent spot in your workflow? submitted by /u/AccomplishedArt1791 to r/aiToolForBusiness [link] [comments]

A while ago, I connected with a small bookstore owner who had a very simple but exhausting problem: their entire customer service and ordering system was running manually through WhatsApp. He was running ads on Facebook and Instagram. Customers were constantly messaging them for the same things: "Is this book available?" "How much is this?" Sending unreadable voice notes. Sending screenshots of bank transfer receipts. The owner (who is running the store alone) was spending hours every single day manually replying to messages, checking inventory, and writing down shipping addresses. I suggested we could automate almost all of it, so we got on a call. After understanding his flow, I built a fully automated WhatsApp AI assistant using n8n. Here is the tech stack and how the system is structured: The core of the system is a WhatsApp interface connected to Supabase and OpenAI (via Langchain nodes). Smart Media Handling: I built a decryption flow that handles whatever the user throws at it. If they send an audio message, it gets transcribed. If they send an image, an AI Vision agent analyzes it to see if it’s a payment receipt, a specific book, or just a random image. Intent Routing: Every message passes through an AI classifier. It determines if the user is asking about a product, ready to order, checking an order status, or if they need to be handed off to a human. This routing is helpful to reduce the usage of the AI tokens. Hybrid Search (Vector + FTS): If the user asks for a book, the system searches the Supabase database using both Vector Search and Full Text Search. It pulls the exact product, price, and even sends a short video of the book if available. The search system uses 2 separate layers (FTS and Vector). If the first one fails to find the product, the system will run the second one. Order Execution Agent: Once the user wants to buy, a dedicated AI Agent steps in. It strictly collects the shipping details (Name, Address, Phone), locks the chat session into an "ordering state," and creates a draft order. It even handles the payment routing (adding a fee for Cash on Delivery or verifying bank transfers). The Result: Instead of building it all at once, I developed each subsystem separately (Search, Ordering, Media Handling) and connected them at the end. After testing it, the client was absolutely thrilled. It saves them countless hours of repetitive work and gives their customers instant replies 24/7. We agreed on $500 for the project. It’s my very first paid n8n gig! It might not be the most complex software in the world, but it solves a massively boring business problem. Sometimes the best automations are just about giving business owners their time back. What do you guys think? submitted by /u/anassy1 to r/n8n [link] [comments]

submitted by /u/SlimeyWormm to r/isthisAI [link] [comments]

OpenAI just made a deal with a devil and lost this customer of 2 years. The company (originally non profit) that told us they existed to build AI safely for humanity is now taking Pentagon contracts. Sam Altman decided defense money was more important than every principle the company was founded on. If you’re done funding that, here’s what to do. Cancel Plus right now: Settings, Subscription, Manage, Cancel. You keep access through the end of your billing cycle so there’s no reason to wait. Do it today. Make sure you request a refund as well. If they don’t cancel your plus immediately, they’ll try to have you pay through the end of the billing cycle. FUCK THEM! REQUEST A REFUND! Export your data Settings, Data Controls, Export Data. They’ll email you a zip file with all your conversations, usually within an hour. Download it before your subscription ends. Switch to Claude Go to claude.ai and upload your ChatGPT conversations. Tell Claude the context and pick up right where you left off. All your projects, code, writing, research, whatever you had going carries right over. Claude Pro is the same $20/month. Anthropic was founded by people who left OpenAI specifically because they saw the company abandoning its mission. Turns out they were right about every single concern they raised. This matters because OpenAI did this on purpose They didn’t get dragged into defense work and theyproactively rewrote their own usage policies to allow it. They removed the language banning military applications because they wanted to and because Sam Altman is a dirtbag. This was a calculated business decision to chase government money at the expense of everything they promised when they asked for your trust and your subscription. You can be done with them in 15 minutes. And you can make the last month hurt a little on your way out. Edit- burning compute on way out is just bad for environment, this was bad advice, just not giving the your money for your subscription is enough. Millions have deleted their accounts in the last 24 hours! submitted by /u/boomroom11 to r/ChatGPT [link] [comments]

I keep seeing AI everywhere and it feels like there’s opportunity there, but I’m trying to look at it in a practical way instead of just chasing hype. For those of you building businesses around AI, what does that actually look like in real life? Are you creating tools, offering services, automating things for other companies, or something else? submitted by /u/WeeklyDiscount4278 to r/Entrepreneur [link] [comments]

submitted by /u/Sensitive_Horror4682 to r/GenAI4all [link] [comments]

Sam Altman: "Thank you for being such a pro-business, pro-innovation President. It's a very refreshing change...The investment that's happening here, the ability to get the power of the industry back... I don't think that would be happening without your leadership." OpenAI President Greg Brockman: "We've been just very impressed with how this Administration has really embraced AI... There has been a choice of whether to approach it with optimism, and I think that that's what I've really seen from this Administration." Greg Brockman's $25M donation to Trump's super pac, the largest donation of its fundraising cycle OpenAI, "an unprecedented investment in America’s AI infrastructure announced in January with President Trump " Whitehouse announcement of $500B partnership with OpenAI, Oracle, and Softbank submitted by /u/UnderstandingOwn4448 to r/ChatGPT [link] [comments]

submitted by /u/lurker_bee to r/technology [link] [comments]

All the 100s of billions of dollars Silicon Valley is pouring into AI depend on one thing. Earning it back in the future. OpenAI, which made $13 billion last year, thinks it might make $200 billion in 2030. New data points to a different reality; AI use may be declining in big corporate customers. Though perhaps it's a blip, and it may begin climbing again. However, a recent MIT study appears to back up this new data; it said 95% of AI efforts in businesses fail to save money or deliver profits. AI use is still spreading worldwide, and open-source efforts are the equal of Silicon Valley's offerings. AI's most profound effects were always going to be in the wider world outside of big business. Even if the current Silicon Valley AI leaders fail, that won't stop. But the US is piggybacking on the Silicon Valley boom to try to reach AGI. That effort may be affected. Link to graph of the data, source US Census Bureau - PDF 1 page submitted by /u/lughnasadh to r/Futurology [link] [comments]

submitted by /u/galaxyFighter0 to r/Futurology [link] [comments]

submitted by /u/presonusshark to r/CrusaderKings [link] [comments]