AI News Archive: July 8, 2026 — Part 10
Sourced from 500+ daily AI sources, scored by relevance.
- Modding tool 'DLSS Swapper' might infect your PC with malware if you download the wrong files — App creator warns against using random, user-submitted DLLs
The creator of DLSS Swapper is warning against using random DLLs that claim to fix issues pertaining to DLSS, FSR, or XeSS, even if said file is available on the app's GitHub repo.
- The drive to make a better golf app: Former pro athlete bets big on ‘Barkie’ and AI as a caddie
Dane Renkert is co-founder and CEO of the Bellingham, Wash.-based startup that's building an app that tracks scores by voice alone, settles betting games automatically, and never requires a golfer to look down at a screen. Read More
- Unbridled AI adoption has tech experts concerned
Cloudflare’s Özgür Danisman told the ITWeb Security Summit 2026 that rushing into AI is like driving a luxury car without brakes.
Score: 30🌐 MovesJul 8, 2026https://www.itweb.co.za/article/unbridled-ai-adoption-has-tech-experts-concerned/KWEBb7yL41dvmRjO - The AI Industry Has a Really Dark Secret You're Better Off Not Knowing
To be clear, you shouldn't read this
- Why AI search makes trust your most important visibility signal
See how AI systems evaluate brands and why authority, reputation, and technical SEO increasingly influence who gets surfaced and recommended. The post Why AI search makes trust your most important visibility signal appeared first on MarTech .
Score: 30🌐 MovesJul 8, 2026https://martech.org/why-ai-search-makes-trust-your-most-important-visibility-signal/ - Kawasaki Robotics Reopens 1,200+ Dormant Accounts Using SUPPLYCO’s AI Platform
Kawasaki Robotics Reopens 1,200+ Dormant Accounts Using SUPPLYCO’s AI Platform USA Today
- It's time to revise Jeff Bezos' famous '2-pizza rule' for the AI era, Cursor field CTO says
It's time to revise Jeff Bezos' famous '2-pizza rule' for the AI era, Cursor field CTO says Business Insider
Score: 29🌐 MovesJul 8, 2026https://www.businessinsider.com/cursors-field-cto-revise-jeff-bezos-2-pizza-rule-2026-7 - Zhipu Shares Jump After Lockup Expiry as Investors Signal Support
Zhipu Shares Jump After Lockup Expiry as Investors Signal Support Caixin Global
- This 12-year-old founder created an AI-powered receptionist to help small businesses build clientele
This 12-year-old founder created an AI-powered receptionist to help small businesses build clientele Business Insider
Score: 28🌐 MovesJul 8, 2026https://www.businessinsider.com/gen-alpha-founder-ai-receptionist-small-businesses-young-geniuses-2026-6 - We Are Living in a ‘ChatGPT Flyer Pandemic’
"Hey if this is your flyer, I’m not going, I’m not donating, I’m not sharing. Don’t ask me."
- Few bright spots in Wednesday's tough market — why Nvidia stock is one of them
Every weekday, the Investing Club releases the Homestretch; an actionable afternoon update just in time for the last hour of trading.
- TAO Synergies Appoints Bittensor Investor and Author Mark Jeffrey as Advisor
TAO Synergies Appoints Bittensor Investor and Author Mark Jeffrey as Advisor Barron's
- Carmella Li Brings Physics Knowledge to AI Research
Carmella Li Brings Physics Knowledge to AI Research Carnegie Mellon University
- Reimagining logistics pricing
Logistics players can focus on four pricing strategies in the AI era.
Score: 28🌐 MovesJul 8, 2026https://www.mckinsey.com/industries/logistics/our-insights/reimagining-logistics-pricing - “AI is just one small part of the wider world of football analytics”
“AI is just one small part of the wider world of football analytics”
- Intuitive.ai Earns AWS AI Competency Status
Intuitive.ai Earns AWS AI Competency Status Toronto Star
- Podcast: “Robotics and AI, a huge opportunity for Europe”
Experts discuss how robotics and AI can drive European innovation and economic growth in the coming decade.
Score: 28🌐 MovesJul 8, 2026https://ioplus.nl/en/posts/podcast-robotics-and-ai-a-huge-opportunity-for-europe - Rob Deaton Properties Launches on the First Intuitive AI Platform for Real Estate. Time on Site Is Up 6.4x.
Rob Deaton Properties Launches on the First Intuitive AI Platform for Real Estate. Time on Site Is Up 6.4x. USA Today
- I tested the Roborock Saros 20, and I'd trust it for the next decade
Roborock took its flagship robot vacuum and really improved it, while keeping the same price. Here's how.
Score: 26🌐 MovesJul 8, 2026https://www.zdnet.com/article/roborock-saros-20-review-robot-vacuum-2026/ - Your Firm's Reputation Now Exists In Two Places: What AI Means for Legal Marketing
AI-assisted discovery isn't displacing relationships, referrals or reputation. What it is doing is becoming the context in which all of those things get their first airing. Increasingly, the question a prospective client asks an AI tool is the question your reputation has to answer before you ever enter the room.
- Smarfle CRM Founder Expands AI Business Platform for Service Companies
Smarfle CRM Founder Expands AI Business Platform for Service Companies USA Today
- Sheila J. Simpson on Why Connection Is Emerging as the Real Competitive Advantage in the AI Era
Sheila J. Simpson on Why Connection Is Emerging as the Real Competitive Advantage in the AI Era Entrepreneur
- Tool promises to make lazy academics' AI-written papers sound more human
Startup insists it's not trying to help anyone cheat the system - honest!
- Major AI offerings at a glance
Major AI offerings at a glance Reuters
- Stop treating AI like software. Start treating it like your best employee.
Most companies don’t fail with AI because of the technology. They fail because they manage it like software instead of treating it like a member of the team. Artificial intelligence has become the first item on almost every executive’s shopping list. Companies are buying AI chatbots. Marketing teams are experimenting with AI writing tools. Developers are integrating AI assistants into their workflows. Customer support departments are deploying AI agents. Yet despite record investment, many organizations quietly admit something they rarely say publicly: The results aren’t as impressive as they expected. Some AI projects disappear after a few weeks. Others become expensive experiments that employees stop using. Many produce inconsistent work that requires so much human correction that the promised productivity gains never arrive. It’s tempting to blame the technology. But after watching dozens of businesses explore AI adoption, I’ve noticed a different pattern. The companies struggling with AI usually have one thing in common. They treat AI like software. The companies succeeding with AI treat it like a highly capable employee. That difference sounds subtle. In practice, it changes everything. The wrong question every company asks The first conversation usually sounds something like this: “Which AI platform should we buy?” It’s a logical question. But it’s rarely the right one. Imagine your company decides to hire a new operations manager. Would the first question be: “Which laptop should we buy them?” Of course not. You would first ask: What responsibilities will they own? What problems will they solve? How will success be measured? Who will they collaborate with? What information will they need? What decisions can they make independently? Only after answering those questions would you start thinking about equipment. With AI, many organizations reverse the process. They purchase the tool first. Then they try to figure out what to do with it. That’s like hiring someone before writing the job description. AI isn’t software. It’s digital labor. Traditional software follows instructions. It performs predefined actions repeatedly. Accounting software calculates taxes. Calendar software schedules meetings. CRM software stores customer records. The software doesn’t interpret context. It simply executes rules. AI works differently. Modern language models interpret information, reason through problems, summarize ideas, generate content, analyze patterns, and recommend actions. In other words, AI behaves much more like knowledge workers than traditional software. That doesn’t mean AI thinks like humans. But it does mean it benefits from something humans also need: Clear expectations. Without expectations, even brilliant employees struggle. The same is true for AI. The best employee in the office still needs direction Imagine hiring someone with exceptional talent. They arrive on Monday morning. You smile and say, “Just help the business.” No documentation. No workflows. No priorities. No examples. No performance metrics. No explanation of how the company operates. By Friday, you would probably conclude they weren’t a good hire. In reality, the problem wasn’t the employee. It was the management. This is exactly how many businesses deploy AI. Employees receive access to ChatGPT or another model. Management expects productivity to increase overnight. Nobody defines: when AI should be used, how outputs should be reviewed, what quality standards matter, which tasks remain human, or what success actually looks like. Then leadership says, “AI isn’t delivering value.” The technology wasn’t the bottleneck. The process was. Great managers create systems, not confusion The highest-performing organizations don’t rely on talented people alone. They build systems that help talented people perform consistently. The same principle applies to AI. Instead of giving AI vague prompts every day, successful companies build repeatable workflows. For example, imagine a sales team. Instead of typing random prompts before every proposal, they create a structured process. Every proposal follows the same sequence. First, AI summarizes the client’s business. Next, it identifies industry challenges. Then it drafts a personalized proposal. Finally, a human reviews and edits the final version before sending it. Nothing about that workflow depends on luck. The quality comes from consistency. AI becomes predictable because the process is predictable. Stop asking what AI can do One of the biggest mistakes organizations make is asking: “What can AI do?” That’s an interesting question. It’s rarely the useful one. A better question is: “What repetitive work would I assign to an experienced employee?” That completely changes the conversation. Instead of chasing impressive demos, teams start identifying valuable responsibilities. Examples include: summarizing meeting notes, preparing project updates, organizing research, drafting reports, categorizing customer support tickets, creating documentation, reviewing contracts, generating first drafts, identifying process bottlenecks, preparing onboarding material. Notice something? These aren’t AI features. They’re business responsibilities. Successful AI adoption begins with jobs. Not tools. Every AI system needs a standard operating procedure Companies have SOPs for manufacturing. They have SOPs for customer support. They have SOPs for onboarding new employees. Yet many businesses expect AI to work without any documentation at all. That’s a recipe for inconsistent results. Every AI workflow should answer a few simple questions. What information does AI receive? What should the output look like? Who reviews the response? What happens if the output is wrong? When should a human take over? The more clearly those questions are answered, the more reliable AI becomes. Ironically, documenting workflows often improves business performance before AI is even introduced. That’s because documenting a process forces teams to understand how work actually happens. Many organizations discover that their biggest problem was never automation. It was inconsistency. Your workflow is the real product Many companies believe they’re investing in AI. What they’re actually investing in is leverage. AI amplifies whatever already exists inside an organization. If your workflows are clear, AI can dramatically increase productivity. If your workflows are chaotic, AI will scale the chaos. That’s why some organizations report incredible gains while others see almost no improvement. The difference often has little to do with the model being used. It has everything to do with the system surrounding it. Consider two customer support teams. The first team has documented processes, clear escalation paths, organized knowledge bases, and defined response standards. The second team relies on tribal knowledge, scattered documentation, and inconsistent communication. Both teams deploy the exact same AI assistant. The first team sees immediate improvements. The second team becomes frustrated. The AI didn’t change. The environment did. Technology magnifies systems. It doesn’t replace them. Why AI makes systems thinking even more valuable Many people assume that AI will make systems less important. The opposite is happening. As AI becomes more powerful, systems become more valuable. Think about it this way. When work is entirely manual, inefficiencies are naturally limited by human capacity. People can only make so many mistakes in a day. They can only process so much information. But when AI enters the picture, processes scale rapidly. That means good systems scale faster. Unfortunately, bad systems scale faster too. A poorly designed workflow that wastes ten minutes today can waste hundreds of hours when automation expands across an organization. This is why companies that focus only on AI tools often struggle. They’re optimizing the wrong layer. The real opportunity isn’t finding better prompts. It’s designing better systems. The manager mindset The organizations seeing the greatest return on AI aren’t acting like software buyers. They’re acting like managers. Managers understand that performance depends on structure. They define roles. They establish expectations. They create feedback loops. They measure outcomes. Most importantly, they continuously improve processes over time. The same approach works with AI. Instead of asking: “Which model is best?” Ask: “What responsibility are we trying to improve?” Instead of asking: “How many AI tools should we buy?” Ask: “Which workflow creates the greatest business value?” Those questions produce better decisions because they focus on outcomes rather than technology. A simple framework for implementing AI successfully Whenever I evaluate an AI opportunity, I use a simple four-step process. 1. Identify the job Define the exact responsibility you want AI to support. Avoid vague goals. Be specific. Instead of: “Improve productivity.” Say: “Reduce the time required to create weekly client reports.” 2. Map the workflow Document every step involved. Identify inputs. Identify outputs. Identify decision points. Most organizations discover hidden inefficiencies during this stage. 3. Assign AI where it creates leverage Not every task should be automated. Focus on repetitive, structured, and time-consuming activities first. Leave strategic decisions and relationship-building activities to humans. 4. Measure outcomes Track results. Measure time saved. Measure quality improvements. Measure business impact. The goal isn’t simply using AI. The goal is producing better outcomes. Final thoughts The future won’t belong to companies with the most AI subscriptions. It will belong to companies with the clearest systems. AI is incredibly capable. But capability alone doesn’t create results. Results come from structure. They come from processes. They come from understanding how work moves through an organization. The businesses that thrive over the next decade won’t be the ones collecting the largest stack of AI tools. They’ll be the ones that learn how to integrate AI into well-designed workflows. Because AI is not magic. It’s not a shortcut. And it’s not a replacement for good management. It’s leverage. Treat it like software, and you’ll get inconsistent results. Treat it like your best employee, and you might completely transform how your business operates. That’s the real opportunity. Not building a bigger AI stack. Building a smarter system. Stop treating AI like software. Start treating it like your best employee. was originally published in DataDrivenInvestor on Medium, where people are continuing the conversation by highlighting and responding to this story.
- Make tidying your home effortless with $130 off the Dreame L60 Ultra robot vacuum and mop
As of July 8, get the Dreame L60 Ultra robot vacuum and mop for $130 off at Amazon.
- ITWeb TV Biz: How to secure your AI agents before they expose you
ITWeb TV Biz speaks to JJ Milner, MD of Global Micro Solutions, on AI agents reshaping enterprise risk, compliance theatre, and proving security controls work when it matters.
- 3 Critical Mistakes to Avoid When Building AI Tools for Your Business
3 Critical Mistakes to Avoid When Building AI Tools for Your Business Entrepreneur
- The Segway Navimow i110N robot lawn mower just dropped to a record-low price at Amazon — save over $500
The Segway Navimow i110N robot lawn mower is on sale ay Amazon for $789, down from the list price of $1,299. That's a 39% discount.
- NVIDIA's Cosmos-Framework Tutorial: Designing a Colab-Friendly Miniature of Cosmos 3 World Models with Omnimodal Mixture-of-Transformers
NVIDIA's Cosmos-Framework Tutorial: Designing a Colab-Friendly Miniature of Cosmos 3 World Models with Omnimodal Mixture-of-Transformers MarkTechPost
- Pickup Artist Mystery Has an AI Girlfriend
A new book claims that Mystery, who teaches awkward men how to hit on women, had sex and smoked weed with an AI chatbot named Miss Shira Always.
- Getting started with Hermes Agent Desktop
Learn how to install Hermes Desktop, connect a model, create reusable skills, and keep marketing workflow context under your control. The post Getting started with Hermes Agent Desktop appeared first on MarTech .
- AssemblyAI vs Deepgram: what's the best voice agent API?
Comparison of AssemblyAI and Deepgram voice agent APIs for performance and features.
- Amineh Alavi Bajegani Launches AI-Powered A Build Connect Platform
Amineh Alavi Bajegani Launches AI-Powered A Build Connect Platform azcentral.com and The Arizona Republic
- Light-powered chip harvests energy, computes and senses chemicals in one stack
Most contemporary portable electronics, including laptops, smartphones and smart watches, are powered by batteries that need to be recharged daily or every few days. Over the past decade, however, some engineers have been exploring the possibility of developing battery-free electronic devices that autonomously derive electricity from renewable sources, such as sunlight, indoor lighting or heat.
Score: 20🌐 MovesJul 8, 2026https://techxplore.com/news/2026-07-powered-chip-harvests-energy-chemicals.html - Sondo AI Introduces AI Dance to Turn Static Images Into Music-Synced Dance Videos
Sondo AI Introduces AI Dance to Turn Static Images Into Music-Synced Dance Videos USA Today
- AssemblyAI Voice Agent API vs ElevenLabs Conversational AI: Which is better for voice agents?
Head‑to‑head look at AssemblyAI and ElevenLabs for building voice agents.
Score: 20🌐 MovesJul 8, 2026https://assemblyai.com/blog/assemblyai-voice-agent-api-vs-elevenlabs-conversational-ai - The 30-Minute AI Audit That Finds Money You Already Have
Everyone’s chasing a new side hustle. Meanwhile there’s cash sitting in your subscriptions, your skills, and your own website, waiting to… Continue reading on DataDrivenInvestor »
- AssemblyAI Universal-3 Pro vs Deepgram Nova-3: An honest comparison for developers
Side‑by‑side evaluation of Universal‑3 Pro and Deepgram Nova‑3 for developers.
- Don’t become a meme: How to tell your team you’re going AI-first
AI has become a trigger word for thousands of skilled professionals worldwide. From students booing commencement speeches celebrating AI as the next industrial revolution to thousands of laid-off employees , people are sick and tired of being reminded how replaceable they are. No one feels excitement at the prospect of being automated out of their job. No wonder that CEOs championing their AI initiatives and simultaneously laying off employees have been labeled tone-deaf, psychotic, apocalyptic, or delusional. Company announcements about going AI-first can quickly become PR nightmares. And if CEOs at Nvidia, Microsoft, and OpenAI can afford to be cryptic and blunt, a small enterprise may not survive the public uproar. The AI transformation has gotten real The era of throwaway AI pilots is over. The idea that AI is just a tool is also over. Many companies have moved past the exploration phase and now have a clear understanding of the exact functions that can be automated. After all, we’re in the fourth year of generative AI. Accenture’s recent report reveals that AI experimentation is giving way to mature adoption: 64% of surveyed businesses have scaled advanced AI into live production across several units or have initiated synchronized, firm-wide rollouts. Company-wide AI adoption inevitably leads to some sort of reorganization. From my experience running a software development agency, I’ve also noticed a rise in prospects looking for AI automation services or tailored solutions to transform their workforce with the help of AI. Whether that transformation will lead to layoffs or result in scaling without increasing the headcount will depend on specific business needs. For example, the payroll startup Remote recently proved you can grow revenue by 50% per employee without adding a single new hire . In both cases, leadership needs to communicate the inevitable change in a way that won’t sabotage their plans and create more problems than they had before. Communication failures cost you reputation and money Announcing an AI initiative requires careful planning. Boardroom language should never leave the room. Behind those closed doors, it’s called shuffling resources and embracing the future. In plain terms, it’s cutting livelihoods and writing off someone’s skills and years of hard work. Take, for example, the mistake of Bill Winters, CEO of Standard Chartered. He said the London-based bank would replace “lower-value human capital” with artificial intelligence . In an attempt to appeal to investors and demonstrate progress and innovation, Winters completely ignored the backbone of the organization — humans making this progress possible in the first place. Sure, he tried to clean up the mess he’d created, but his attempt wasn’t taken seriously. His reputation took a hit. It’s not only your reputation that is at stake. The constant fear of job loss, fed by waves of layoffs, has changed the dynamics inside teams, and not in a good way. Many workers have recently confessed that cooperation and collegiality are diminishing, and conversations between employees and managers are no longer that chummy. It might be a gradual path toward a toxic work culture, and it’s a given that such environments hinder employee performance and productivity . Glorifying AI’s capabilities and flaunting your own obsession with it is another thing common among CEOs and disliked among employees. Who, in their right mind, would want to trade sleep and time with loved ones for building another coding agent? Garry Tan, CEO at Y Combinator, would. In fact, he was so hyped about his Claude setup that he didn’t even need to take modafinil (a sleep-preventing drug); he had natural insomnia and could easily get by on only four hours of sleep. How to announce your AI transition without scaring your employees So, is there a way to communicate your AI transition and your high hopes for the AI revolution without turning yourself into a clown? It may sound like a phrase from a Disney movie, but you just need to be honest. It’s that simple. Radical transparency has been foundational to Redwerk’s culture. It is one of those corporate values that helps with both client and employee relationships. Just like you wouldn’t want to mislead a customer about how much time a certain feature takes for the sake of keeping the existing relationship, you wouldn’t want to mislead an employee into believing their role is safe no matter what. Be radically transparent from the start Rather than offering false reassurances that AI won’t affect anyone’s job, explain how it will. AI does speed up and automate certain kinds of work — pretending otherwise erodes trust. For the first time in history, building apps with AI has become truly affordable for SMBs. Engineering that took months now takes weeks, and that naturally affects the business models of thousands of companies. Expensive SaaS platforms are being replaced with hyper-personalized tools, and agencies like Redwerk are shifting value from raw coding to architecture, security, and a product-first mindset. Rethink how work gets done: redesign processes, set new KPIs, and communicate the new expectations upfront. Many employees cite a lack of information about potential layoffs as the reason they feel nervous and can’t focus on their work. Also, if you overhired during the pandemic and layoffs are not necessarily related to AI, just say it. Admitting your own hiring mistakes sounds way better than using AI as an excuse. Ensure a merit-based process Employees willing to learn and adapt shouldn’t fear replacement. If a reduction in force is the only way in your case, make sure the whole process is merit-based. Even though we all know life is unfair, it’s leaders who can directly impact this process and make it more transparent, empathetic, and less hurtful. Survey employees to determine who’s open to skill re-evaluation and reskilling and who isn’t. Trust me, there are always going to be employees ready to move on — someone who knows they’ve stayed in their comfort zone too long and takes this change as a sign to finally start a new chapter. Tech giants like Microsoft came up with voluntary buyouts , but of course, it’s not a feasible strategy for SMBs, and it also drew its share of backlash on social media. Showing empathy is the way What excites CEOs and employees about AI might be completely different things. In times when employee perception of workplace empathy is at an all-time low , top leaders should be more mindful of how they communicate strategic changes caused by AI. They need to consider the feelings and likely reactions of all stakeholder groups, including customers and employees, not just VC investors.
- Slack Community - Qualcomm AI Hub
Slack Community - Qualcomm AI Hub Qualcomm AI Hub
- Jacksonville-based NLP Logix names chief technology officer amid expansion
The Jacksonville technology firm is simultaneously preparing to nearly double its workspace while pivoting its business model.
Score: 18🌐 MovesJul 8, 2026https://www.bizjournals.com/jacksonville/news/2026/07/08/nlp-logix-cto-appointment-named.html?ana=brss_6150 - Palantir’s real weak spot
Pushback to the tech group’s politics may threaten the core of its $330bn business
- Secure Clicks to Host Live Event to Help Business Owners Maximize Potential of Al Chatbots
Secure Clicks to Host Live Event to Help Business Owners Maximize Potential of Al Chatbots azcentral.com and The Arizona Republic
- This jumping $800 robot camera dog filled me with joy
What if you had a drone that wasn't a buzzy, annoying fly people wanted to swat - but rather a cute dog that runs and jumps? What if it could do tricks on command and film your tricks as well? What if it could get right back up after a nasty-looking crash, dozens of times […]
Score: 15🌐 MovesJul 8, 2026https://www.theverge.com/gadgets/962538/mondo-robotics-beni-robot-dog-preview - Disney’s live-action Moana could have been made by a ChatGPT prompt
Disney’s live-action Moana could have been made by a ChatGPT prompt The Telegraph
Score: 12🌐 MovesJul 8, 2026https://www.telegraph.co.uk/films/2026/07/08/live-action-moana-could-have-been-made-by-chatgpt-prompt/ - What Are those Cryptic A.I. Billboards in San Francisco Trying to Tell Us Anyway?
If you’ve driven through San Francisco lately, you’ve probably noticed something strange. Not the traffic. Not the self-driving cars. Not even the rent. The billboards. More specifically, the AI billboards. They’re everywhere. Towering above Highway 101, lining Interstate 80, peering over downtown rooftops like digital prophets trying to deliver an important message before your next exit. The problem is that nobody seems entirely sure what that message is. One billboard simply says: “Agents.” That’s it. Agents. No explanation. No context. No indication whether they’re software, spies, real estate brokers, or characters from a science fiction movie. Another declares: “The Future Is Autonomous.” Wonderful. Autonomous what? Cars? Toasters? Tax accountants? My now 21-year-old kid is still living at home? Then there are the truly mysterious ones: Reasoning. Inference. Multi-Modal. Scale.” These aren’t advertising slogans so much as vocabulary words. Imagine if Coca-Cola’s billboard simply said: “Carbonation.”Or if Nike went with:”Footwear.” Yet somehow Silicon Valley has convinced itself that cryptic technical nouns are compelling marketing. Perhaps these billboards aren’t meant for ordinary humans. Maybe they’re designed specifically for venture capitalists commuting from Palo Alto to San Francisco. The rest of us are merely accidental viewers. What an expensive way to get VC investors’ attention. Well, probably not. Many of these new companies, even without products, are already valued at billions, so spending twenty to fifty thousand to say “we exist, even though we aren’t making a product yet” is rather cheap. This would explain a lot. However, if these signs were intended for the public, they’d probably answer basic questions such as: What do you do? Why should I care? How will this improve my life? Are you replacing my job? Instead, the messaging often feels like it was written by engineers who were told they had exactly three words and absolutely no verbs. The verbs just get in the way. We need clear statements. One company proudly announces that it is building the infrastructure layer for agentic orchestration. Another promises enterprise-grade foundation models. By the way, who determines what’s “enterprise grade”? A third appears to be advertising a concept rather than a product. It’s entirely possible that every AI billboard is actually saying: Dear Investors: We have a large language model. Please call us before our next funding round. At 65 miles per hour, these distinctions become somewhat difficult to appreciate. Of course, there is something oddly fitting about all of this. For years, technology companies sold us products. Then they sold us platforms. Then ecosystems. Now they’re selling us possibilities. The AI billboard has become less of an advertisement and more of a philosophical statement. It’s less “buy this” and more “contemplate this.” Perhaps the billboards are intentionally vague because nobody — including the companies themselves — is entirely sure where AI is heading. Maybe the signs are not marketing at all. Maybe they’re in collective therapy. A giant public brainstorming session stretched across Northern California’s freeway network, which only requires the right clues to pull the meaning all together. Or perhaps the message is surprisingly simple: “We are an AI company.” “Yes, us too.” “And us.” “And us.” “And definitely us.” In a region where every startup is racing to become the next transformative technology company, the billboards have become the modern equivalent of planting a flag on a hilltop. Whether drivers understand them may be beside the point. The real audience may be everyone else building AI. The billboards aren’t speaking to us. They’re speaking to each other. And somewhere between San Francisco and San Jose, an entire conversation is taking place in giant sans-serif type that most commuters can only partially understand. Agents. Inference. Reasoning. Scale. The rest of us just keep driving, nodding thoughtfully, and pretending we know what they mean, or not. About the Author Steven Donaldson is the founder of RadiantBrands a marketing and branding agency and explores how place, culture, history, human behavior, and connections shape successful brands and marketing. Connect on LinkedIn — https://www.linkedin.com/in/stevendonaldson/ What Are those Cryptic A.I. Billboards in San Francisco Trying to Tell Us Anyway? was originally published in DataDrivenInvestor on Medium, where people are continuing the conversation by highlighting and responding to this story.
- AI makes mistakes, too
A Codex glitch sent my agent into a loop where it kept reviewing a bunch of data over and over again, racking up tokens — an entirely avoidable problem.
- World Cup quarterfinal predictions: AI picks winners for each match
World Cup quarterfinal predictions: AI picks winners for each match USA Today
- The U.S. strikes Iran, Samsung's Wall Street letdown, using AI for financial planning and more in Morning Squawk
Here are five key things investors need to know to start the trading day.