Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

👀 Spot business needs through hiring trends! Companies adding SDETs? They need testing automation. Our Agentic AI finds decision-makers from LinkedIn jobs, verifies emails, and delivers qualified leads—processing 3 profiles/minute, no coffee breaks needed. Try it on 100x today!

Shardul Lavekar

1,454 subscribers

14,309 views • 1 year ago •via X (Twitter)

Finance Science & Technology

Anya Rossi• Live Now

Private livecam show

4 Comments

Symbox1 year ago

AI that deciphers hiring trends and automates lead generation isn’t just tech—it’s strategic insight. It's about pinpointing needs and scaling efficiency in real time.

NICE1 year ago

Stay competitive by balancing cutting-edge AI with automation tools. Forrester shows how.

Alamin1 year ago

Great share.

Nemesis1 year ago

Great to see AI being used for networking and lead generation on LinkedIn! This could be a game-changer for businesses.

Related Videos

From $1K per lead to $82 per meeting. That's what happened when Matt switched from Facebook ads to our cold email system. The truth most agencies won't tell you: - Business owners don't respond to ads on social media. - CEOs don't fill out Facebook forms. - Decision-makers don't click LinkedIn ads. - They read their email. In the last 365 days, we've booked 1,572 calls with qualified decision-makers using cold email. One client added $120,000 in monthly recurring revenue in just 42 days. Another client went from zero cold email experience to $500,000 in new business in 6 months. While everyone's chasing algorithms and praying to the Referral Gods, we're putting business owners back in control of their lead flow. No more feast-or-famine cycles. No more wasting time on tire-kickers. No more watching competitors scale while you stay stuck. We'll book you 20-30 'close ready' sales calls every month. Not someday prospects. Not maybe-next-quarter leads. Real decision-makers who can say "YES" today. You just show up and close. Want to see how? Check out our full breakdown in the video below. Curious what this could look like for your business? Let's chat.

From $1K per lead to $82 per meeting. That's what happened when Matt switched from Facebook ads to our cold email system. The truth most agencies won't tell you: - Business owners don't respond to ads on social media. - CEOs don't fill out Facebook forms. - Decision-makers don't click LinkedIn ads. - They read their email. In the last 365 days, we've booked 1,572 calls with qualified decision-makers using cold email. One client added $120,000 in monthly recurring revenue in just 42 days. Another client went from zero cold email experience to $500,000 in new business in 6 months. While everyone's chasing algorithms and praying to the Referral Gods, we're putting business owners back in control of their lead flow. No more feast-or-famine cycles. No more wasting time on tire-kickers. No more watching competitors scale while you stay stuck. We'll book you 20-30 'close ready' sales calls every month. Not someday prospects. Not maybe-next-quarter leads. Real decision-makers who can say "YES" today. You just show up and close. Want to see how? Check out our full breakdown in the video below. Curious what this could look like for your business? Let's chat.

Troy

18,295 views • 1 year ago

A GUY GAVE A HERMES AI AGENT ONE GOAL AND IT GENERATED $22,000 IN LEADS FOR A STRANGER'S BUSINESS IN 24 HOURS On stage at a conference, he picked a random small business from a LinkedIn post in the audience. A web design studio in Carlisle, Cumbria. He gave Hermes Agent – open source, runs on any LLM – one goal: "Find companies in the area. Take screenshots of their current websites. Redesign every single one. If they don't have a website, build one. Email each business owner offering the redesign for £2,000." The agent went off and did it autonomously. Hundreds of full website redesigns. Real ones. Not AI slop – actual professional-looking sites. It could only send 50 emails a day to avoid looking like spam. 100 emails sent. 11 responses. Roughly $22,000 in leads sitting in one inbox. From one prompt. For a business that didn't even know this was happening. The agent didn't need a team, a sales department, or weeks of outreach. It needed one goal and permission to keep going. Bookmark this post. Full demo in the video below.

A GUY GAVE A HERMES AI AGENT ONE GOAL AND IT GENERATED $22,000 IN LEADS FOR A STRANGER'S BUSINESS IN 24 HOURS On stage at a conference, he picked a random small business from a LinkedIn post in the audience. A web design studio in Carlisle, Cumbria. He gave Hermes Agent – open source, runs on any LLM – one goal: "Find companies in the area. Take screenshots of their current websites. Redesign every single one. If they don't have a website, build one. Email each business owner offering the redesign for £2,000." The agent went off and did it autonomously. Hundreds of full website redesigns. Real ones. Not AI slop – actual professional-looking sites. It could only send 50 emails a day to avoid looking like spam. 100 emails sent. 11 responses. Roughly $22,000 in leads sitting in one inbox. From one prompt. For a business that didn't even know this was happening. The agent didn't need a team, a sales department, or weeks of outreach. It needed one goal and permission to keep going. Bookmark this post. Full demo in the video below.

SCOTTY BEAM

18,877 views • 3 months ago

Today we're announcing Lightfield's $47M Series A led by a16z to reimagine CRM as a world model of a business. For agents to do customer-facing work, they need to understand how your business actually works. Salesforce wasn't designed for this. It was built 20+ years ago for humans to update records. Layer agentic processes on top and you get low quality output, because the underlying data is incomplete and lacks the structure agents need. Lightfield updates itself from every interaction, forming a trustworthy model of your business for people and agents. Since launching last November, 5,000+ companies have signed up - and we're ripping out legacy CRM at mature organizations with hundreds of users. Companies on Lightfield grow faster than their competitors. It finds prospects that look like your best customers and books meetings with them. It captures commitments from every conversation and automates follow-ups. It diagnoses weaknesses in your funnel and learns from your best sellers to codify what works. The companies of the future will run on a business world model, not a Salesforce-era database. Our mission is to put that capability in the hands of every employee, and every agent, at every company.

Today we're announcing Lightfield's $47M Series A led by a16z to reimagine CRM as a world model of a business. For agents to do customer-facing work, they need to understand how your business actually works. Salesforce wasn't designed for this. It was built 20+ years ago for humans to update records. Layer agentic processes on top and you get low quality output, because the underlying data is incomplete and lacks the structure agents need. Lightfield updates itself from every interaction, forming a trustworthy model of your business for people and agents. Since launching last November, 5,000+ companies have signed up - and we're ripping out legacy CRM at mature organizations with hundreds of users. Companies on Lightfield grow faster than their competitors. It finds prospects that look like your best customers and books meetings with them. It captures commitments from every conversation and automates follow-ups. It diagnoses weaknesses in your funnel and learns from your best sellers to codify what works. The companies of the future will run on a business world model, not a Salesforce-era database. Our mission is to put that capability in the hands of every employee, and every agent, at every company.

Keith Peiris

1,340,277 views • 21 days ago

We replaced our $247K/year content team with an AI Content System while I was arguing with a chatbot about pineapple on pizza at 2am, it wrote 47 LinkedIn posts, 12 Twitter threads, and a full YouTube script. What agencies charge $8,997 for (12-week strategy)... Now takes 47 seconds. Unlimited platforms. here's what the system does: – uploads your business context → instant brand voice analysis – maps audience fears, beliefs, objections, dream outcomes – writes 50+ psychological hooks ranked by engagement potential – auto-generates platform-specific formatting (LinkedIn, Twitter, newsletter , VSL ready) – eliminates AI slop with authentic voice preservation no more $15K content teams that don't understand your business or sound like ChatGPT threw up on your feed. it's like having the entire Mad Men team - except they actually understand your ICP and don't need 6 weeks to "learn your voice." the results speak for themselves: → 10+ qualified calls per week from content alone → 15x content production speed → 90% time reduction (15 hours → 90 minutes weekly) → 50+ qualified leads monthly from content alone → One client eliminated 3 content positions in 7 days this isn't another AI wrapper with fancy promises. it's business intelligence deployed at machine speed. Comment "CONTENT" + repost this + follow me I'll DM you the complete system in the next hour skip this, and keep paying teams that take 3 weeks to create content that sounds like everyone else's.

Aryan Mahajan

19,037 views • 1 year ago

Reporter: Wouldn't ending H-1B cut down the number of foreigners with skills coming in? Me: We don’t need to import foreign workers from India. We already have skilled Americans right here at home. I was at Florida State University last week meeting with outstanding students studying AI and computer science. Their biggest fear—at a time when youth unemployment is *double* the national average—is that they won’t get jobs because Google, Amazon, Meta, and Apple are hiring foreign workers from India and China to fill those roles. “Made in America” needs to go a step further: "Made in America...by Americans." The social contract of this country is simple—we put our people first. When qualified Americans are being discriminated against and passed over so Fortune 500 companies can import cheap labor from abroad and exploit it, that’s not okay.

Reporter: Wouldn't ending H-1B cut down the number of foreigners with skills coming in? Me: We don’t need to import foreign workers from India. We already have skilled Americans right here at home. I was at Florida State University last week meeting with outstanding students studying AI and computer science. Their biggest fear—at a time when youth unemployment is double the national average—is that they won’t get jobs because Google, Amazon, Meta, and Apple are hiring foreign workers from India and China to fill those roles. “Made in America” needs to go a step further: "Made in America...by Americans." The social contract of this country is simple—we put our people first. When qualified Americans are being discriminated against and passed over so Fortune 500 companies can import cheap labor from abroad and exploit it, that’s not okay.

James Fishback

297,641 views • 11 months ago

I just turned one 20-minute YouTube video into 7 LinkedIn posts with clips, copy, and scheduling. Automatically. No editing. No freelancer. No 4-hour content session. Watch the full build: Here's what happened: I connected WayinVideo's API to my content system and pointed it at my "4 AI Systems for Fortune 500 Companies" video. It analyzed the full video, found the 7 best moments, clipped them, and transcribed everything. Then my system generated the copy. → 7 clips scored by engagement potential → LinkedIn copy generated in my exact voice from each transcript → Video clips attached as visual assets → YouTube link dropped in comments → All 7 posts pushed into my CMS, ready to schedule Each clip is a standalone breakdown: • Ad creative intelligence (replaced $50K/month team) • Finance automation (40 hours to 8 minutes) • Sales intelligence (40 qualified calls/month on autopilot) • Enterprise AI dashboard (proves ROI to the C-suite) This is the same content system behind: • 50K+ leads from organic content • $876K in content-attributed revenue • 46K followers with zero paid ads Creating content was never the bottleneck. Distribution was. WayinVideo fixed distribution. And they just made this accessible to anyone with a YouTube channel. Want the AI Content Repurposing Playbook? Like + comment "CLIP" + repost, and I'll DM it to you. (must be following)

I just turned one 20-minute YouTube video into 7 LinkedIn posts with clips, copy, and scheduling. Automatically. No editing. No freelancer. No 4-hour content session. Watch the full build: Here's what happened: I connected WayinVideo's API to my content system and pointed it at my "4 AI Systems for Fortune 500 Companies" video. It analyzed the full video, found the 7 best moments, clipped them, and transcribed everything. Then my system generated the copy. → 7 clips scored by engagement potential → LinkedIn copy generated in my exact voice from each transcript → Video clips attached as visual assets → YouTube link dropped in comments → All 7 posts pushed into my CMS, ready to schedule Each clip is a standalone breakdown: • Ad creative intelligence (replaced $50K/month team) • Finance automation (40 hours to 8 minutes) • Sales intelligence (40 qualified calls/month on autopilot) • Enterprise AI dashboard (proves ROI to the C-suite) This is the same content system behind: • 50K+ leads from organic content • $876K in content-attributed revenue • 46K followers with zero paid ads Creating content was never the bottleneck. Distribution was. WayinVideo fixed distribution. And they just made this accessible to anyone with a YouTube channel. Want the AI Content Repurposing Playbook? Like + comment "CLIP" + repost, and I'll DM it to you. (must be following)

Aryan Mahajan

14,506 views • 6 months ago

$I'm a Polish-German media investor & entrepreneur who thinks that EVERY COMPANY NEEDS A CONTENT STRATEGY (i.e. part of your company needs to be a mini media co). Nowadays, every company realizes they need to post content on social media. Content builds trust and positions you as authority. But making content is hard: It requires a social media team. Staying up to date on trends. And figuring out how to turn views into leads (& cashflow). I realized that after growing a network of social media channels to millions of monthly views and selling it to private equity. Today, my agency ChannelCraft helps business owners build authority & increase sales using content. We have helped hundreds of companies generate millions of sales through videos on YouTube, shorts on Instagram or posts on LinkedIn. Our specialty is building 'content engines' for companies that position you as the obvious expert in your niche, attract inbound leads who already trust you, and build long-term brand equity instead of short-term ad dependency. The ChannelCraft team handles strategy, scripting, editing, publishing, and optimization. We also build the sales funnels behind your content assets - making sure that every view you receive turns into a lead (& cashflow). Some proof, real numbers: → Jake Claver's first video with us hit 100K views in 24 hours. Conversions up 400-500% through YouTube and Shorts content. → A leading tax advisory & wealth management form: views +115%, conversions tripled in 30 days through YouTube, Instagram and LinkedIn content. → A trader with zero audience closed a $5K client in month one. 190 subscribers on YouTube. Besides working with corporates, founders and business owners, we also partner with public institutions and national television networks, helping them reach audiences, customers, and future employees at a fraction of traditional media costs using YouTube and platforms like Netflix, Amazon Prime, etc. I’m also the Managing Director of Deus Media Group, a buy-and-build network of business-focused media ventures. I have been featured by publications such as Fortune or Spiegel, guest lectured at institutions such as Fudan University and Shanghai University, and have been invited to serve as mentor to tech companies for multiple governments, such as Singapore (Enterprise Singapore programs) or Germany (GermanAccelerator programs). As a startup investor who lived in Shanghai for many years, I have helped 50+ technology companies penetrate the Chinese market. In the past, I have worked at top-tier companies in management consulting, venture incubation and as a founder across APAC and Europe. If you’re a business owner who wants content to become a predictable growth channel, send me a LinkedIn message and let’s talk💬$

I'm a Polish-German media investor & entrepreneur who thinks that EVERY COMPANY NEEDS A CONTENT STRATEGY (i.e. part of your company needs to be a mini media co). Nowadays, every company realizes they need to post content on social media. Content builds trust and positions you as authority. But making content is hard: It requires a social media team. Staying up to date on trends. And figuring out how to turn views into leads (& cashflow). I realized that after growing a network of social media channels to millions of monthly views and selling it to private equity. Today, my agency ChannelCraft helps business owners build authority & increase sales using content. We have helped hundreds of companies generate millions of sales through videos on YouTube, shorts on Instagram or posts on LinkedIn. Our specialty is building 'content engines' for companies that position you as the obvious expert in your niche, attract inbound leads who already trust you, and build long-term brand equity instead of short-term ad dependency. The ChannelCraft team handles strategy, scripting, editing, publishing, and optimization. We also build the sales funnels behind your content assets - making sure that every view you receive turns into a lead (& cashflow). Some proof, real numbers: → Jake Claver's first video with us hit 100K views in 24 hours. Conversions up 400-500% through YouTube and Shorts content. → A leading tax advisory & wealth management form: views +115%, conversions tripled in 30 days through YouTube, Instagram and LinkedIn content. → A trader with zero audience closed a $5K client in month one. 190 subscribers on YouTube. Besides working with corporates, founders and business owners, we also partner with public institutions and national television networks, helping them reach audiences, customers, and future employees at a fraction of traditional media costs using YouTube and platforms like Netflix, Amazon Prime, etc. I’m also the Managing Director of Deus Media Group, a buy-and-build network of business-focused media ventures. I have been featured by publications such as Fortune or Spiegel, guest lectured at institutions such as Fudan University and Shanghai University, and have been invited to serve as mentor to tech companies for multiple governments, such as Singapore (Enterprise Singapore programs) or Germany (GermanAccelerator programs). As a startup investor who lived in Shanghai for many years, I have helped 50+ technology companies penetrate the Chinese market. In the past, I have worked at top-tier companies in management consulting, venture incubation and as a founder across APAC and Europe. If you’re a business owner who wants content to become a predictable growth channel, send me a LinkedIn message and let’s talk💬

Kevin Jon

50,600 views • 2 months ago

David Friedberg: The AI Jobs Panic Is a Crock of Sh*t Why? The revenue potential outweighs the cost savings by 100x. “There is no job loss with AI. I've said it a thousand times, and I will say it again, and again, and again. What I see on the ground, and what I've seen at dozens of companies, including my company that I run, there are two sides to a business. There is revenue and there’s costs. On the cost side of the equation, AI can be used to reduce humans doing things that cost money, to some extent. The effect there, I would argue, is nominal. The real opportunity with AI is on the revenue side, where suddenly one engineer can do 100x or 1000x what they used to be able to do, meaning you can make more products at your company, whether those are agricultural seed products, or boats and ships, or software for companies, or clothing, or what have you. Because of AI, everyone has the ability to expand their revenue base to create more products, and that is the foundation of good economic prosperity. It is called productivity. We can grow productivity in this country with AI. So where I see AI being used is on the revenue side 100x more than the cost side. And in that equation, people are hiring like crazy. We cannot hire enough people. I just had a review meeting with my product and engineering team two days ago, and they're like, ‘We want to add an extra 15 headcount to our engineering squads because we have all this opportunity to do stuff that we couldn't otherwise do.’ So we are going to hire more people. And to Sacks' point, we are seeing that show up in the jobs numbers. The idea that AI is going to destroy jobs is a Luddite idea that is being disproven every single day, and I see it on the ground. It is only a matter of time before people wake up to this and they realize that this narrative that they've all been sold is a crock of sh*t.”

David Friedberg: The AI Jobs Panic Is a Crock of Sht Why? The revenue potential outweighs the cost savings by 100x. “There is no job loss with AI. I've said it a thousand times, and I will say it again, and again, and again. What I see on the ground, and what I've seen at dozens of companies, including my company that I run, there are two sides to a business. There is revenue and there’s costs. On the cost side of the equation, AI can be used to reduce humans doing things that cost money, to some extent. The effect there, I would argue, is nominal. The real opportunity with AI is on the revenue side, where suddenly one engineer can do 100x or 1000x what they used to be able to do, meaning you can make more products at your company, whether those are agricultural seed products, or boats and ships, or software for companies, or clothing, or what have you. Because of AI, everyone has the ability to expand their revenue base to create more products, and that is the foundation of good economic prosperity. It is called productivity. We can grow productivity in this country with AI. So where I see AI being used is on the revenue side 100x more than the cost side. And in that equation, people are hiring like crazy. We cannot hire enough people. I just had a review meeting with my product and engineering team two days ago, and they're like, ‘We want to add an extra 15 headcount to our engineering squads because we have all this opportunity to do stuff that we couldn't otherwise do.’ So we are going to hire more people. And to Sacks' point, we are seeing that show up in the jobs numbers. The idea that AI is going to destroy jobs is a Luddite idea that is being disproven every single day, and I see it on the ground. It is only a matter of time before people wake up to this and they realize that this narrative that they've all been sold is a crock of sht.”

The All-In Podcast

152,671 views • 3 months ago

Hot take: AI Assistants are failing us Despite the buzz, closed-domain AI assistants are falling short. Without reliable, context-aware responses, they’re not ready for serious business use. Where AI Assistants Fail Here’s a scenario from a well known sales assistant that’s out there today: 📊 User Query: “What’s the length of my average sales cycle?” ➡️ Assistant Response: “I calculated the average sales cycle length for your opportunities, but there are no results to show.” The assistant can’t perform a computation. Why? Let’s break it down. 🛑 The Issue: Closed-domain AI assistants rely heavily on search-first RAG methods, making them unsuitable for high-trust applications. Consider a task like “Find all emails from last week that need follow-ups.” A search-based AI might skip important messages if they lack specific keywords, leaving critical follow-ups unnoticed. When this incomplete data is passed to the language model, the result is unreliable, making these assistants ill-suited for nuanced business queries. ✅ The Solution: Agentic query planning. Instead of rigid keyword search, assistants should gather all relevant emails and then use an LLM to classify follow-ups—just as a person would—ensuring accuracy. That’s why our AI lab built PromptQL - an agentic, data access API for your AI! Here’s a look at what we’ve been up to ⤵️

Hot take: AI Assistants are failing us Despite the buzz, closed-domain AI assistants are falling short. Without reliable, context-aware responses, they’re not ready for serious business use. Where AI Assistants Fail Here’s a scenario from a well known sales assistant that’s out there today: 📊 User Query: “What’s the length of my average sales cycle?” ➡️ Assistant Response: “I calculated the average sales cycle length for your opportunities, but there are no results to show.” The assistant can’t perform a computation. Why? Let’s break it down. 🛑 The Issue: Closed-domain AI assistants rely heavily on search-first RAG methods, making them unsuitable for high-trust applications. Consider a task like “Find all emails from last week that need follow-ups.” A search-based AI might skip important messages if they lack specific keywords, leaving critical follow-ups unnoticed. When this incomplete data is passed to the language model, the result is unreliable, making these assistants ill-suited for nuanced business queries. ✅ The Solution: Agentic query planning. Instead of rigid keyword search, assistants should gather all relevant emails and then use an LLM to classify follow-ups—just as a person would—ensuring accuracy. That’s why our AI lab built PromptQL - an agentic, data access API for your AI! Here’s a look at what we’ve been up to ⤵️

PromptQL

17,590 views • 1 year ago

$This is the biggest irony in tech history. Microsoft beat revenue estimates. Stock plunged 11%, wiped out $400 BILLION in market cap. Salesforce reported growth. Stock fell 5.6%. ServiceNow beat earnings. Stock crashed 11%. SAP beat projections. Stock dropped 16%. Entire software sector entered bear market territory. Down 22% from peak. These are the companies everyone said would WIN from AI. They spent billions BUYING AI companies. ServiceNow: $7.75 billion for Armis. Salesforce: $8 billion for Informatica. They launched AI products. Built AI workflows. Hired AI teams. And the market said: You're all dead. Because investors just realized something nobody wanted to admit: AI doesn't make software companies stronger. AI makes software companies OBSOLETE. Morgan Stanley: "In an environment of heightened investor skepticism, stable growth falls short of shifting the narrative." Good earnings aren't enough anymore. The market is pricing in a world where AI replaces the software these companies sell. ServiceNow CEO tried defending on the earnings call: "AI needs workflow orchestration. ServiceNow is the gateway to this shift." Market response: 11% crash. Because here's what he didn't say: If AI can write code, automate workflows, and generate apps at a fraction of the cost, why would anyone pay $50,000 per year for enterprise software licenses? The per-seat pricing model that made SaaS companies rich is getting murdered by AI efficiency. One AI agent replaces 10 seats. One prompt replaces months of custom development. One LLM call replaces entire software categories. Klarna already proved it. CEO said they pulled Salesforce out of their stack. Built everything themselves using AI. And that's just the beginning. The software apocalypse hit hardest on companies that INVESTED IN AI: Atlassian: down 12.6% Intuit: down 7.8% HubSpot: down 11.5% Zscaler: down 6.3% Meanwhile, the companies ENABLING AI made money: Nvidia: up Semiconductor stocks: surging Memory firms: rallying The divide is brutal. Hardware companies print cash. Software companies get destroyed. Because in an AI-first world, you need GPUs to build the models. But you don't need software subscriptions when the AI builds the software for you. Jim Cramer called it the "P/E multiple compression crisis." Translation: Investors don't care about earnings anymore. They care about whether your business model survives the next 5 years. And right now software business models look doomed. They're literally stuck: If they DON'T invest in AI, they fall behind. If they DO invest in AI, they cannibalize their own products. It's a death spiral with no exit. ServiceNow spent $12 BILLION on acquisitions in 2025 alone. Trying to buy their way into relevance. And yesterday the market cooked them. The craziest thing to me tho... Most software companies beat earnings. Revenue was solid. Growth was fine. But it didn't matter. Because the market stopped pricing software on what it earns TODAY. It's pricing software on what it's worth in a world where AI does the job for free. And in that world these companies are worth nothing. This is the biggest sector repricing since 2008. $500 billion in market value gone in ONE DAY. And it's not stopping. Because every company watching this is thinking the same thing: "If I can replace ServiceNow with 3 AI agents and save $10 million per year, why wouldn't I?" The answer used to be: "Because you need enterprise-grade reliability." But now? AI agents are getting reliable. Fast. Software companies just realized they're competing with open-source models that cost $0.02 per 1,000 tokens. You can't win a pricing war against free. The companies that spent BILLIONS preparing for AI are getting killed BY AI. What an irony.$

This is the biggest irony in tech history. Microsoft beat revenue estimates. Stock plunged 11%, wiped out $400 BILLION in market cap. Salesforce reported growth. Stock fell 5.6%. ServiceNow beat earnings. Stock crashed 11%. SAP beat projections. Stock dropped 16%. Entire software sector entered bear market territory. Down 22% from peak. These are the companies everyone said would WIN from AI. They spent billions BUYING AI companies. ServiceNow: $7.75 billion for Armis. Salesforce: $8 billion for Informatica. They launched AI products. Built AI workflows. Hired AI teams. And the market said: You're all dead. Because investors just realized something nobody wanted to admit: AI doesn't make software companies stronger. AI makes software companies OBSOLETE. Morgan Stanley: "In an environment of heightened investor skepticism, stable growth falls short of shifting the narrative." Good earnings aren't enough anymore. The market is pricing in a world where AI replaces the software these companies sell. ServiceNow CEO tried defending on the earnings call: "AI needs workflow orchestration. ServiceNow is the gateway to this shift." Market response: 11% crash. Because here's what he didn't say: If AI can write code, automate workflows, and generate apps at a fraction of the cost, why would anyone pay $50,000 per year for enterprise software licenses? The per-seat pricing model that made SaaS companies rich is getting murdered by AI efficiency. One AI agent replaces 10 seats. One prompt replaces months of custom development. One LLM call replaces entire software categories. Klarna already proved it. CEO said they pulled Salesforce out of their stack. Built everything themselves using AI. And that's just the beginning. The software apocalypse hit hardest on companies that INVESTED IN AI: Atlassian: down 12.6% Intuit: down 7.8% HubSpot: down 11.5% Zscaler: down 6.3% Meanwhile, the companies ENABLING AI made money: Nvidia: up Semiconductor stocks: surging Memory firms: rallying The divide is brutal. Hardware companies print cash. Software companies get destroyed. Because in an AI-first world, you need GPUs to build the models. But you don't need software subscriptions when the AI builds the software for you. Jim Cramer called it the "P/E multiple compression crisis." Translation: Investors don't care about earnings anymore. They care about whether your business model survives the next 5 years. And right now software business models look doomed. They're literally stuck: If they DON'T invest in AI, they fall behind. If they DO invest in AI, they cannibalize their own products. It's a death spiral with no exit. ServiceNow spent $12 BILLION on acquisitions in 2025 alone. Trying to buy their way into relevance. And yesterday the market cooked them. The craziest thing to me tho... Most software companies beat earnings. Revenue was solid. Growth was fine. But it didn't matter. Because the market stopped pricing software on what it earns TODAY. It's pricing software on what it's worth in a world where AI does the job for free. And in that world these companies are worth nothing. This is the biggest sector repricing since 2008. $500 billion in market value gone in ONE DAY. And it's not stopping. Because every company watching this is thinking the same thing: "If I can replace ServiceNow with 3 AI agents and save $10 million per year, why wouldn't I?" The answer used to be: "Because you need enterprise-grade reliability." But now? AI agents are getting reliable. Fast. Software companies just realized they're competing with open-source models that cost $0.02 per 1,000 tokens. You can't win a pricing war against free. The companies that spent BILLIONS preparing for AI are getting killed BY AI. What an irony.

Ricardo

1,816,881 views • 8 months ago

We’re officially a YOUnicorn! 🦄 Excited to share that You.com just raised $100M Series C at a $1.5B valuation, led by Cox Enterprises. We’ve been heads down building the search infrastructure for the AI and agent future. Soon there will be more AI agents using the web than humans, but today's search wasn't built for this. Agents need deep, contextual information from both public web and internal private data to make real decisions. Our web search API delivers the most up-to-date, accurate, and fastest search results for LLMs and agents. Real benchmarks show we consistently outperform the competition on accuracy and speed while staying cost-effective. Today, we’re answering over 1 billion queries every month across enterprises like DuckDuckGo, Windsurf, Harvey, and many others. There is no other startup of recent years at this scale. Grateful to our wonderful employees, customers, partners, and investors who believe in our vision. The agentic era is here - let's build it together. Try our LLM search APIs.

We’re officially a YOUnicorn! 🦄 Excited to share that You.com just raised $100M Series C at a $1.5B valuation, led by Cox Enterprises. We’ve been heads down building the search infrastructure for the AI and agent future. Soon there will be more AI agents using the web than humans, but today's search wasn't built for this. Agents need deep, contextual information from both public web and internal private data to make real decisions. Our web search API delivers the most up-to-date, accurate, and fastest search results for LLMs and agents. Real benchmarks show we consistently outperform the competition on accuracy and speed while staying cost-effective. Today, we’re answering over 1 billion queries every month across enterprises like DuckDuckGo, Windsurf, Harvey, and many others. There is no other startup of recent years at this scale. Grateful to our wonderful employees, customers, partners, and investors who believe in our vision. The agentic era is here - let's build it together. Try our LLM search APIs.

Richard Socher

63,709 views • 1 year ago

7 AI SERVICES BOOMER BUSINESSES ARE BEGGING TO BUY IN 2026 1) AI Tools Assessment: $999. One 45-minute interview, then a report with 3 to 7 off-the-shelf tools they can implement immediately. 50 to 60% convert into implementation. (grab the exact template I use to deliver the assessment at 2) AI Concierge: $1,000 to $2,000 a month for two 45-minute calls turning their manual processes into Claude skills. At $1,500 a month you're making $1,000 an hour. 3) Process Redesign: $3,500 to fix a broken workflow before you touch AI. One client went from 25 steps to 10. Never automate a broken process. 4) Automation Builds: $1,000 to $3,000 in Zapier or Make. One $1,500 build took a project manager out of client onboarding entirely. 5) Knowledge Systems: $3,000 baseline. A business broker went from 500 buyer emails per listing to 10 with one custom GPT. 6) Custom Workflows: $3,000 to $5,000. One client's 45-minute podcast workflow now runs off one orchestrator skill in 5 minutes. 7) Full Implementation: $5,000 to $10,000+ mixing everything above. Skills + automation builds + knowledge systems. Mix and match based on client needs. Two things that make this work: 1) The assessment is always the baseline. Start there and let it tell you what to sell next. 2) Anchor on hours saved, not hours worked. Nobody pays $1,000 an hour for your time. They pay it to get theirs back. Full breakdown below. (also available on the Build With AI podcast wherever you get your pods)

7 AI SERVICES BOOMER BUSINESSES ARE BEGGING TO BUY IN 2026 1) AI Tools Assessment: $999. One 45-minute interview, then a report with 3 to 7 off-the-shelf tools they can implement immediately. 50 to 60% convert into implementation. (grab the exact template I use to deliver the assessment at 2) AI Concierge: $1,000 to $2,000 a month for two 45-minute calls turning their manual processes into Claude skills. At $1,500 a month you're making $1,000 an hour. 3) Process Redesign: $3,500 to fix a broken workflow before you touch AI. One client went from 25 steps to 10. Never automate a broken process. 4) Automation Builds: $1,000 to $3,000 in Zapier or Make. One $1,500 build took a project manager out of client onboarding entirely. 5) Knowledge Systems: $3,000 baseline. A business broker went from 500 buyer emails per listing to 10 with one custom GPT. 6) Custom Workflows: $3,000 to $5,000. One client's 45-minute podcast workflow now runs off one orchestrator skill in 5 minutes. 7) Full Implementation: $5,000 to $10,000+ mixing everything above. Skills + automation builds + knowledge systems. Mix and match based on client needs. Two things that make this work: 1) The assessment is always the baseline. Start there and let it tell you what to sell next. 2) Anchor on hours saved, not hours worked. Nobody pays $1,000 an hour for your time. They pay it to get theirs back. Full breakdown below. (also available on the Build With AI podcast wherever you get your pods)

Corey Ganim

49,298 views • 1 month ago

Most agencies don't have a lead problem. They have a follow-up problem. Leads come in every day through referrals, LinkedIn, contact forms, and outbound campaigns. The hard part isn't generating interest. It's making sure every opportunity gets the attention it deserves before it quietly goes cold. I lead a digital marketing team, and our pipeline used to depend on whoever had time to check it. One person qualified new leads. Someone else researched the company. Our sales team pieced together discovery call notes. Follow-ups happened when people remembered, and pipeline reviews usually told us what we'd already missed. We tried tightening the process. Better spreadsheets. More reminders. Clearer ownership. It helped, but the work still depended on someone manually moving every opportunity forward. Everything changed when we onboarded Viktor in Slack and gave him one recurring responsibility: own our sales pipeline from lead capture to discovery readiness. Now every lead is captured, qualified against our ideal client profile, researched, scored, prioritized, and placed into the right follow-up sequence automatically. By the time a discovery call is booked, Viktor has already prepared the briefing with company research, decision-makers, pain points, competitive context, and recommended talking points. Last month Viktor processed 40 new leads, generated 128 sales deliverables, and managed 85 automated follow-ups across our pipeline. What used to consume 74.5 hours of manual work now takes just 8.5 hours of review a 90% reduction in manual effort. The biggest change wasn't that our team moved faster. It was knowing every opportunity was moving through the pipeline with the same consistency, whether we were busy delivering client work or not. Most lost deals weren't lost at the pitch. They went cold between the first touch and the follow-up nobody had time to send. Hire @viktor__com for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #SalesOps #AgencyGrowth Paid Partnership

Deborah

89,972 views • 1 month ago

I’m excited to announce Net, an email app that understands what's important to you and helps you stay on top of it, right from your phone! Do you struggle to stay on top of your email, or feel like you need to set time aside and pull out your laptop just to make progress? Net uses AI to help you blast through your inbox on your phone, without missing anything important: - Get notifications about what truly needs your attention. No more checking every tab or email in Gmail. - Swipe through your email as a stack of cards, which makes it easy and fun to mark them done or set reminders to handle them later. - Speak to draft emails! Say a few words, and Net will instantly draft a well-written email in your voice. Not happy with the draft? Just tell it what to change, and see the change instantly. Early testers say this is the best LLM writing experience they’ve had. We’re releasing Net in beta today. It works with Gmail or Google Workspace emails on iOS. Repost or reply if you want to try it, and we’ll be in touch via DM with a TestFlight invite!

I’m excited to announce Net, an email app that understands what's important to you and helps you stay on top of it, right from your phone! Do you struggle to stay on top of your email, or feel like you need to set time aside and pull out your laptop just to make progress? Net uses AI to help you blast through your inbox on your phone, without missing anything important: - Get notifications about what truly needs your attention. No more checking every tab or email in Gmail. - Swipe through your email as a stack of cards, which makes it easy and fun to mark them done or set reminders to handle them later. - Speak to draft emails! Say a few words, and Net will instantly draft a well-written email in your voice. Not happy with the draft? Just tell it what to change, and see the change instantly. Early testers say this is the best LLM writing experience they’ve had. We’re releasing Net in beta today. It works with Gmail or Google Workspace emails on iOS. Repost or reply if you want to try it, and we’ll be in touch via DM with a TestFlight invite!

Jonathan Unikowski

90,673 views • 1 year ago

There are 8 billion people on earth. Soon there'll be 100 billion AI agents. Every one of them needs email. Six weeks ago I said the next wave of teams would run email through an agent instead of a dashboard. Today it ships. Nitrosend☄️ is launching Agentic Email Marketing: the email layer for the agent economy. What agents can do on Nitrosend right now: Sign themselves up. Point any agent at and it creates the account, connects your domain, sorts billing and sends its first email. No API key. No dashboard. No human required. Shipped, and users agents signing up with it daily. Get their own inboxes (beta, by request). Real addresses on the domain you own. Your agents receive, and send 1-1 email conversations with customers. A reply lands at 3am, your agent answers it. Anything that needs a human gets escalated to you. Ask us and we'll flick yours on. Next: Agentic Outreach (coming soon). Your agent studies your best customers, finds more like them, writes like a person, sends in sequence and works the replies. Then: set a goal and walk away. Goal-based agentic marketing is in development. "20% more activations this quarter" and Nitrosend plans, sends, measures and improves every week. Why we built this: Gmail is agent hostile and expensive per seat. Legacy email platforms assume a human sitting in a dashboard. agents needed an email layer of their own. They're already better at it than we are. They read everything, never miss a follow-up, and write personally at any scale. *94%* of actions on Nitrosend already happen inside an agent (Claude, Codex, ChatGPT, Cursor), not in our UI. Humans approve. Agents operate. This is our third email company. Six billion emails across the first two. We've been burned by every ugly part of email already, which is why the approval gates are built in exactly where you want them. Watch the launch, then send your agent to work: send it.

There are 8 billion people on earth. Soon there'll be 100 billion AI agents. Every one of them needs email. Six weeks ago I said the next wave of teams would run email through an agent instead of a dashboard. Today it ships. Nitrosend☄️ is launching Agentic Email Marketing: the email layer for the agent economy. What agents can do on Nitrosend right now: Sign themselves up. Point any agent at and it creates the account, connects your domain, sorts billing and sends its first email. No API key. No dashboard. No human required. Shipped, and users agents signing up with it daily. Get their own inboxes (beta, by request). Real addresses on the domain you own. Your agents receive, and send 1-1 email conversations with customers. A reply lands at 3am, your agent answers it. Anything that needs a human gets escalated to you. Ask us and we'll flick yours on. Next: Agentic Outreach (coming soon). Your agent studies your best customers, finds more like them, writes like a person, sends in sequence and works the replies. Then: set a goal and walk away. Goal-based agentic marketing is in development. "20% more activations this quarter" and Nitrosend plans, sends, measures and improves every week. Why we built this: Gmail is agent hostile and expensive per seat. Legacy email platforms assume a human sitting in a dashboard. agents needed an email layer of their own. They're already better at it than we are. They read everything, never miss a follow-up, and write personally at any scale. 94% of actions on Nitrosend already happen inside an agent (Claude, Codex, ChatGPT, Cursor), not in our UI. Humans approve. Agents operate. This is our third email company. Six billion emails across the first two. We've been burned by every ugly part of email already, which is why the approval gates are built in exactly where you want them. Watch the launch, then send your agent to work: send it.

George Hartley ☄️

943,714 views • 2 months ago

Today, we're officially introducing the new Vybe. We started as "Lovable for internal apps." We spent the last year building the infrastructure: permissions, integrations, databases, workflows. Everything companies need to actually trust software inside their business. Then, OpenClaw came out and started showing what was possible with agents for personal use cases. Everything clicked for us. The infrastructure we'd built wasn't just useful for humans anymore: it was exactly what agents needed to operate inside real companies and teams. What happens when agents can work 24/7, with the right context, the right permissions, and access to your company's tools? A founder becomes a one-person army. A small team operates like a much bigger one. That's the mission we fell in love with at Vybe. Our agents have names and roles. They have their own email, Slack, phone number. They prep meetings, follow up with leads, run ops, update CRMs, build internal tools. Vybe runs on Vybe. We're onboarding 10 teams a week to run AI-native companies.

Today, we're officially introducing the new Vybe. We started as "Lovable for internal apps." We spent the last year building the infrastructure: permissions, integrations, databases, workflows. Everything companies need to actually trust software inside their business. Then, OpenClaw came out and started showing what was possible with agents for personal use cases. Everything clicked for us. The infrastructure we'd built wasn't just useful for humans anymore: it was exactly what agents needed to operate inside real companies and teams. What happens when agents can work 24/7, with the right context, the right permissions, and access to your company's tools? A founder becomes a one-person army. A small team operates like a much bigger one. That's the mission we fell in love with at Vybe. Our agents have names and roles. They have their own email, Slack, phone number. They prep meetings, follow up with leads, run ops, update CRMs, build internal tools. Vybe runs on Vybe. We're onboarding 10 teams a week to run AI-native companies.

Quang HOANG

35,357 views • 4 months ago

this viewer made over $500,000 from seo before graduating. here's what he's doing differently than most agency owners in 2026: 1. he picks under-saturated local niches on purpose. not window replacement in Dallas where you're fighting for 6+ months. tax firms, HR companies, white collar services — markets where the top competitor has 10 reviews max. results in 2-3 months. 2. he shows clients wins in month one, not month six. even if it's just "someone clicked from a keyword search." business owners don't need leads day one — they need proof something is happening. that kills churn. 3. 80% of VA work is cooked. he's already cut most of his VAs and replaced them with AI agents. content creation went from a week-long process to 30 minutes. reporting went from 4 hours per client to 30 minutes. he has an AI agent named Karen that schedules all monthly reports. 4. for AI search (ChatGPT rankings), local is way easier than national. run up a Reddit thread, a Facebook group post, optimize the GBP with reviews — and ChatGPT suddenly has four places to pull your client's data from. 5. the common denominator of everyone he's seen succeed: they don't overthink. they follow the checklist. if something breaks, they figure it out. that's it. watch/listen here

this viewer made over $500,000 from seo before graduating. here's what he's doing differently than most agency owners in 2026: 1. he picks under-saturated local niches on purpose. not window replacement in Dallas where you're fighting for 6+ months. tax firms, HR companies, white collar services — markets where the top competitor has 10 reviews max. results in 2-3 months. 2. he shows clients wins in month one, not month six. even if it's just "someone clicked from a keyword search." business owners don't need leads day one — they need proof something is happening. that kills churn. 3. 80% of VA work is cooked. he's already cut most of his VAs and replaced them with AI agents. content creation went from a week-long process to 30 minutes. reporting went from 4 hours per client to 30 minutes. he has an AI agent named Karen that schedules all monthly reports. 4. for AI search (ChatGPT rankings), local is way easier than national. run up a Reddit thread, a Facebook group post, optimize the GBP with reviews — and ChatGPT suddenly has four places to pull your client's data from. 5. the common denominator of everyone he's seen succeed: they don't overthink. they follow the checklist. if something breaks, they figure it out. that's it. watch/listen here

Jacky Chou (buying online businesses up to $1m)

21,298 views • 5 months ago

STANFORD JUST PUT ITS ENTIRE ARTIFICIAL INTELLIGENCE CURRICULUM ON YOUTUBE FOR FREE. CS221. The same course that produced engineers now running AI labs, building frontier models, and getting paid $500,000 a year at the companies everyone is trying to work for. Most people have never heard of it. The ones who have are not telling you about it. Here is what the course actually covers: Search algorithms. The mathematical foundation behind every AI that finds optimal solutions in complex environments. Constraint satisfaction. How AI reasons through problems with thousands of interdependent variables simultaneously. Markov decision processes. The probabilistic framework behind every AI agent that makes sequential decisions under uncertainty. Machine learning from first principles. Not how to use sklearn. How the math actually works underneath it. Neural networks. Built from the ground up before jumping to applications. Logic and knowledge representation. How AI systems reason about the world formally. Natural language processing. The foundation of everything happening in LLMs right now. Robotics and computer vision. How AI perceives and acts in physical environments. Every concept that powers every AI product you use daily is in this curriculum. Not a surface level overview. The actual mathematics. The actual algorithms. The actual reasoning. This is what separates engineers who build AI from operators who use it. Stanford charged $60,000 a year for students to sit in this classroom. They put the whole thing on YouTube. Bookmark this before you open any other AI resource today.

STANFORD JUST PUT ITS ENTIRE ARTIFICIAL INTELLIGENCE CURRICULUM ON YOUTUBE FOR FREE. CS221. The same course that produced engineers now running AI labs, building frontier models, and getting paid $500,000 a year at the companies everyone is trying to work for. Most people have never heard of it. The ones who have are not telling you about it. Here is what the course actually covers: Search algorithms. The mathematical foundation behind every AI that finds optimal solutions in complex environments. Constraint satisfaction. How AI reasons through problems with thousands of interdependent variables simultaneously. Markov decision processes. The probabilistic framework behind every AI agent that makes sequential decisions under uncertainty. Machine learning from first principles. Not how to use sklearn. How the math actually works underneath it. Neural networks. Built from the ground up before jumping to applications. Logic and knowledge representation. How AI systems reason about the world formally. Natural language processing. The foundation of everything happening in LLMs right now. Robotics and computer vision. How AI perceives and acts in physical environments. Every concept that powers every AI product you use daily is in this curriculum. Not a surface level overview. The actual mathematics. The actual algorithms. The actual reasoning. This is what separates engineers who build AI from operators who use it. Stanford charged $60,000 a year for students to sit in this classroom. They put the whole thing on YouTube. Bookmark this before you open any other AI resource today.

CyrilXBT

18,550 views • 20 days ago

Stripe’s strategy is to “win all the startups and then win them again.” I had a great time talking with Will Gaybrick. Will has held a broad seat at Stripe for more than a decade, joining as CFO in 2015, and today leading Technology and Business. This makes him the right person to explain how Stripe went from a simple payments API to a platform with ~25-30 banner products and 288 launches at its most recent Sessions event. Here’s what their strategy looks like: -Companies like DoorDash and Instacart started on Stripe when they were tiny and pulled the company upmarket as they expanded. -The fastest startups act as canaries for new product opportunities. Cursor surfaced a burgeoning problem of AI free-trial and token abuse; so Stripe built a token detection pipeline with the team in a weekend, and the resulting network now helps companies on Stripe’s platform block thousands of fraudulent trials daily. -Stripe keeps expanding the number of needs it serves inside each company, from Billing, Radar, and Tax to Managed Payments, Treasury, and stablecoin infrastructure. There is a large and timely lesson from Stripe which I strongly agree with: using AI solely to reduce cost is essentially going short your own company. Instead, companies should be using AI (and the tailwinds it creates) to ship more, serve users better, and create their next product line. And as Stripe continues to invest in agentic commerce, the company can move from processing a transaction to orchestrating the entire economic loop around it. The line between tokens and dollars is already blurring, and Stripe’s next mandate is to make moving between them as seamless and safe as moving between dollars and euros. A fun conversation about what it takes to build the next Stripe inside Stripe. a16z

Stripe’s strategy is to “win all the startups and then win them again.” I had a great time talking with Will Gaybrick. Will has held a broad seat at Stripe for more than a decade, joining as CFO in 2015, and today leading Technology and Business. This makes him the right person to explain how Stripe went from a simple payments API to a platform with ~25-30 banner products and 288 launches at its most recent Sessions event. Here’s what their strategy looks like: -Companies like DoorDash and Instacart started on Stripe when they were tiny and pulled the company upmarket as they expanded. -The fastest startups act as canaries for new product opportunities. Cursor surfaced a burgeoning problem of AI free-trial and token abuse; so Stripe built a token detection pipeline with the team in a weekend, and the resulting network now helps companies on Stripe’s platform block thousands of fraudulent trials daily. -Stripe keeps expanding the number of needs it serves inside each company, from Billing, Radar, and Tax to Managed Payments, Treasury, and stablecoin infrastructure. There is a large and timely lesson from Stripe which I strongly agree with: using AI solely to reduce cost is essentially going short your own company. Instead, companies should be using AI (and the tailwinds it creates) to ship more, serve users better, and create their next product line. And as Stripe continues to invest in agentic commerce, the company can move from processing a transaction to orchestrating the entire economic loop around it. The line between tokens and dollars is already blurring, and Stripe’s next mandate is to make moving between them as seamless and safe as moving between dollars and euros. A fun conversation about what it takes to build the next Stripe inside Stripe. a16z

David George

68,998 views • 1 month ago

The "Old Way" of running a company is dead. 💀 Brian Armstrong just revealed how he’s using AI agents to run Coinbase 🛡️, and it’s a glimpse into the future of leadership. 1. Real-Time Monitoring 👁️ No more waiting for "quarterly reviews." Brian uses AI agents to synthesize Slack and emails in real-time. He can feel the "vibration" of the entire company and spot bottlenecks before they become crises. 2. The RAPID-D Framework 🤖 At Coinbase, AI has a seat at the decision table. Their "RAPID-D" system uses agents to debate strategy, challenge assumptions, and probe for weaknesses in every major proposal. The AI isn't just a tool; it’s a participant. 3. CEO Coaching 📈 Ever wonder if you’re focusing on the wrong thing? Brian uses AI to audit his own schedule. The AI compares his daily actions against the company's top goals and tells him exactly where he’s wasting time. 4. Adapt or Exit 🚪 The mandate was simple: "Learn AI coding in 7 days or you’re out." Armstrong fired engineers who refused to onboard. Result? 1/3 of Coinbase code is now AI-generated, headed for 50%. The Bottom Line: We are moving from "companies that use AI" to "Agentic Organizations." The information lag is being set to zero. ⚡ #Coinbase #AI #TechLeadership #BrianArmstrong #FutureOfWork

The "Old Way" of running a company is dead. 💀 Brian Armstrong just revealed how he’s using AI agents to run Coinbase 🛡️, and it’s a glimpse into the future of leadership. 1. Real-Time Monitoring 👁️ No more waiting for "quarterly reviews." Brian uses AI agents to synthesize Slack and emails in real-time. He can feel the "vibration" of the entire company and spot bottlenecks before they become crises. 2. The RAPID-D Framework 🤖 At Coinbase, AI has a seat at the decision table. Their "RAPID-D" system uses agents to debate strategy, challenge assumptions, and probe for weaknesses in every major proposal. The AI isn't just a tool; it’s a participant. 3. CEO Coaching 📈 Ever wonder if you’re focusing on the wrong thing? Brian uses AI to audit his own schedule. The AI compares his daily actions against the company's top goals and tells him exactly where he’s wasting time. 4. Adapt or Exit 🚪 The mandate was simple: "Learn AI coding in 7 days or you’re out." Armstrong fired engineers who refused to onboard. Result? 1/3 of Coinbase code is now AI-generated, headed for 50%. The Bottom Line: We are moving from "companies that use AI" to "Agentic Organizations." The information lag is being set to zero. ⚡ #Coinbase #AI #TechLeadership #BrianArmstrong #FutureOfWork

Jungle Inc | Markets & Future Systems

279,137 views • 8 months ago