#ai
328 articles · page 8 of 28
A Single Well-Crafted Answer in the Right Reddit Thread Can Influence Thousands of AI Responses About Your Brand. Your Competitors Figured This Out. You're Still Running LinkedIn Ads. Substack
A single well-crafted Reddit answer can shape your brand’s AI reputation for months, outperforming short-lived LinkedIn ads.
Buyers in 2026 Are Running One Question Through Every Diligence Call: "What Moat Survives the AI Disruption Cycle?" If Your Answer Lives in a Feature Set, You're Already Priced at a Discount. Substack
Why feature-based SaaS is devalued by AI and how proprietary data, network effects, and deep integrations form lasting moats.
The Software Companies That Survive This AI Reset Won't Be the Ones With the Best Product. They'll Be the Ones With Proprietary Data That Large Language Models Cannot Replicate and Mission-Critical Workflows You Can't Automate Away. Allianz
Only software with proprietary data and mission-critical workflows will survive the AI-driven SaaS reset.
I've Watched PE Firms Acquire 83 Businesses. Here's the Pattern They Never Announce Publicly: They Always Buy the Distribution First.
PE firms buy scalable distribution networks—using roll-ups, add-ons and AI—to de-risk revenue and lift exit multiples.
20. The Founders Who Sell in 2026–2027 at a Premium Will Have One Thing in Common: They Understood That Data Is the Product. Their Software Was Just the Wrapper.
AI-native startups that treat proprietary data as the product command higher valuations, retention, and revenue.
19. People Don't Trust AI. They Trust Reddit. That's Why Reddit Is Worth $43 Billion and Your Blog Is Worth Zero. The Gap Is Called Distribution Authority. The Motley Fool
Community-driven platforms outrank corporate blogs for AI trust; brands must earn visibility by joining real conversations.
18. Reddit Made $203 Million Licensing Data It Got for Free From Its Users. Your Business Is Generating That Same Data and Giving It Away to Your CRM Provider.
Most companies unknowingly let CRMs use customer behavior and conversational data—learn risks, protections, and how to monetize it.
17. Investors Aren't Looking for Workflow Stickiness Anymore. They're Asking: "If an AI Agent Does This Work, Who Needs Your Software?" If You Don't Have an Answer, Your Valuation Already Does. TechCrunch
Investors now demand proprietary data, workflow control and API-first design as AI agents make many SaaS products replaceable.
16. The Era of "Growth at All Costs" Is Over. The Era of "Whoever Controls the Data Controls the Exit Multiple" Has Begun. Most Founders Are Still Playing the Old Game.
Proprietary data, not growth-at-all-costs, now decides SaaS exit multiples—control your data to win higher valuations.
15. Blackstone, KKR, and Silver Lake Aren't Competing With Each Other. They're All Buying the Same Asset - Data-Controlled Distribution - From Founders Who Don't Know What They Actually Have.
Private equity is buying the data pipelines and workflow systems that validate and distribute AI outputs—distribution, not models.
14. AI Didn't Kill SaaS. Founders Who Never Owned Their Distribution Did.
Own email lists, communities, integrations and growth loops to survive AI disruptions, cut CAC, and improve retention.
13. Between $5 Trillion and $8 Trillion in Capital Expenditures Will Flow Into AI Infrastructure by 2030. The Winners Aren't the Companies Building the Models. They're the Ones Who Own the Pipes. PwC
AI infrastructure will draw $5–8 trillion by 2030—data centers, power and cooling owners will capture the biggest gains.