How New AI Models Will Impact Businesses

AI agents are on the verge of transforming digital commerce beyond recognition and it’s a wake-up call for many companies, including Shopify, Intercom, and Mailchimp, as I outline in my new post https://lnkd.in/gZKzPURM In this new world, your AI agent will book flights, negotiate deals, and submit claims—all autonomously. It’s not just a fanciful vision. A web of emerging infrastructure is rapidly making these scenarios real, changing how payments, marketing, customer support, and even localization will operate: (1) Agentic payments – Traditional card-present vs. card-not-present models assume a human at checkout. In an agent-driven economy, payment rails must evolve to handle cryptographic delegation, automated dispute resolution, and real-time fraud detection. (2) Marketing and promotions – Forget email blasts and coupon codes. Agents subscribe to structured vendor APIs for hyper-personalized offers that match user preferences and budget constraints. Retailers benefit from more accurate inventory matching and higher customer satisfaction. (3) Agent-native customer support – Instead of human chat widgets, we’ll see agent-to-agent troubleshooting and refunds. Businesses that adopt specialized AI interfaces for these tasks can drastically reduce response times and improve support experiences. (4) Dynamic localization – The painstaking process of translating websites becomes obsolete. Agents handle on-the-fly language conversion and cultural adaptations, allowing businesses to maintain a single “universal” interface. Just as mobile reshaped e-commerce, agent-driven workflows create a whole new paradigm where transactions, support, and even marketing happen automatically. Companies that adapt—by embracing agent passports, machine-readable infrastructures, and new payment protocols—will be the ones shaping the next era of online business. More in the third post of my series on AI agents and their impact on the internet https://lnkd.in/gZKzPURM Also available as a NotebookLM-powered podcast episode (highly recommended)

AI Agents Are Reshaping the Economy AI agents are driving massive efficiencies and unlocking new business opportunities today. These intelligent systems are cutting costs, boosting productivity, and accelerating decision-making. 🔹1. AI Agents in Content Creation Example: AI agents now write blogs for <$0.01, as seen with AgentStack & AgentOps, or even curate newsletters, like Jelani Abdus-Salaam’s AI-powered Best of AI newsletter. Economic Impact: Companies can cut content creation costs by 60-80%, scale output 10x faster, and grow their digital presence without hiring more writers. 🔹 2. AI Agents in Legal Lead Qualification Example: Dench(.)com by Mark Rachapoom is an AI-powered legal secretary that pre-qualifies leads for law firms. Economic Impact: Lawyers save 20-30% of their time by automating lead intake, boosting revenue by 15-25% and reducing intake costs significantly. 🔹 3. AI Agents in Web Research Example: Gumloop’s AI Web Research scours the web for answers, while Perplexity AI’s Deep Research Agent analyzes market trends like a McKinsey analyst. Economic Impact: Businesses can cut research costs by up to 90%, process 100x more data, and make faster, data-driven decisions. 🔹 4. AI Agents in E-commerce Optimization Example: AI agents now manage Shopify stores, optimizing product listings, customer support, and inventory. Hertwill even posted the first AI Agent job on LinkedIn. Economic Impact: AI can increase e-commerce revenue by 20-30%, optimize inventory management, and cut customer support costs by 50%. What's more in the future of agents?

🚀 AI’s Next Big Leap Yesterday on Bloomberg Tech, I broke down DeepSeek’s breakthrough and what it means for the future of AI—and it's clear we’ve just hit a major inflection point. The AI landscape is shifting fast, and businesses that move to capitalize will gain a real edge. Key takeaways: 🔹 𝗔𝗜’𝘀 𝗖𝗼𝘀𝘁 𝗖𝘂𝗿𝘃𝗲 𝗝𝘂𝘀𝘁 𝗖𝗼𝗹𝗹𝗮𝗽𝘀𝗲𝗱 Model costs are dropping dramatically, unlocking opportunities that were out of reach just last week. The ROI equation has fundamentally changed, and AI adoption is about to accelerate in a big way. Imagine adding a new lane to the AI highway—demand, urgency, and impact will all increase. 🔹 𝗧𝗵𝗲 𝗙𝗮𝘀𝘁-𝗙𝗼𝗹𝗹𝗼𝘄 𝗘𝗳𝗳𝗲𝗰𝘁 DeepSeek proves what we’ve seen firsthand at Tribe AI: cost has been a major blocker to enterprise adoption. I expect U.S. AI leaders to respond fast with lower-cost, lower-latency models—and consumers and businesses will be the biggest winners. 🔹 𝗥𝗶𝘀𝗲 𝗼𝗳 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲𝗱 𝗠𝗼𝗱𝗲𝗹𝘀 Open source isn’t going anywhere, with Meta’s Llama firmly in the game. But we’re also anticipating a shift toward purpose-built models for specific use cases rather than a one-size-fits-all approach. In this world, distribution matters more than ever. 𝗦𝗼, 𝘄𝗵𝗮𝘁 𝗻𝗼𝘄? As AI options multiply, so do the challenges of building in this evolving ecosystem. Enterprises need a trusted partner to navigate trade-offs, integrate the right models in the right ways, and turn AI from an experiment into a competitive advantage. That’s where Tribe AI comes in. If you’re thinking about how to stay ahead in this AI race, let’s talk. What’s your take on this shift? 👇

Microsoft's AI Revolution: Why Traditional Apps Are About to Vanish A paradigm shift is happening in software that most are missing. After analyzing Microsoft CEO Satya Nadella's recent revelations, I've identified why we're witnessing the end of traditional business applications. Here's my analysis of what's really happening: 1. The Fundamental Shift Traditional SaaS applications are essentially just databases with business logic layers. In the AI era, these applications will collapse because AI agents will directly handle all business logic and database interactions. This isn't speculation - Microsoft is already seeing this happen with Dynamics platform. 2. The Evidence - Microsoft is investing up to $70B in AI infrastructure by 2025 - They're seeing "high rates of wins" as companies abandon traditional backends for AI-native solutions - Their customer service costs have dropped significantly through AI automation - Even Excel is being reconceptualized as an AI tool with Python integration 3. The Business Impact Microsoft wouldn't start or invest in a traditional SaaS company today. This should be a wake-up call for every software company and investor. The future isn't about building better applications - it's about creating AI agents that can interact directly with data. 4. What's Really Different The key insight many are missing: This isn't about adding AI features to existing software. The entire application stack is becoming irrelevant. When AI can directly interpret user intent and interact with databases, the traditional software layer becomes unnecessary. 5. The Economic Reality - Companies will see reduced total people costs - Higher cost per head for remaining employees - Increased GPU costs per researcher - Power constraints becoming the primary bottleneck Critical Implications: • Software companies must fundamentally rethink their architecture • Business workflows will be completely reimagined • The value will shift from UI/UX to data and AI capabilities • Power infrastructure becomes a critical business constraint The companies that understand and adapt to this shift will thrive. Those that don't will become irrelevant, regardless of their current market position. This isn't just another tech cycle - it's a fundamental restructuring of how business software works. We're witnessing the end of an era and the beginning of something entirely new. What are your thoughts on this transformation? Are you seeing similar shifts in your industry? #AI #FutureOfTech #DigitalTransformation #Innovation #Leadership #Technology

AI OPPORTUNITIES FOR FORTUNE 2000 As artificial intelligence reshapes the business landscape, Fortune 2000 companies stand at a pivotal moment. Just as Alphabet's DeepMind trying to revolutionize protein structure prediction, and Amazon's AI transformed retail, enterprises now have unprecedented opportunities to revolutionize their operations and drive innovation. ▪︎ Service and Process Transformation - AI enhances operational efficiency through automation and improved decision-making. JP Morgan's COIN software analyzes commercial loan agreements in seconds rather than the 360,000 hours of lawyer time previously required. UPS uses AI-powered route optimization to save millions in fuel costs. ▪︎ Innovation and Product Development - AI enables creation of new products while enhancing existing offerings. Netflix uses AI to inform content creation decisions, while Tesla continuously improves its self-driving capabilities through AI learning from its vehicle fleet. This leads to first-mover advantages and better meeting of customer needs. ▪︎ Knowledge Management and Organizational Intelligence - AI transforms how organizations utilize institutional knowledge. Walmart analyzes billions of customer transactions for inventory optimization, while Unilever processes employee feedback across global operations for improved workforce management. This enhanced intelligence leads to better strategic decision-making. The potential of AI extends far beyond automation. Companies like Google and Microsoft have demonstrated how AI can create billions in value through enhanced productivity and innovation. By embracing these opportunities strategically, Fortune 2000 companies can position themselves at the forefront of the AI revolution. To capitalize on these opportunities while managing risks, in my upcoming book, ‘TRANSCEND’, I proposed implementing dual frameworks: OPEN and CARE.  These frameworks work together to help organizations maximize AI's potential while managing risks. OPEN guides organizations through outlining opportunities, building partnerships, experimenting systematically, and navigating change. CARE ensures comprehensive risk identification, assessment, regulation, and exit planning. These frameworks operate in parallel for balanced AI implementation. #fortune500 #business #innovation #AI #management