Amplitude Absorbs Statsig — But Without the Team That Built It
In a deal that's raising eyebrows, Amplitude is taking over Statsig's brand and customer base while the original team stays at OpenAI (who acquired them for $1.1B last year). Optimizely's CEO called it "a race car without a driver." The bigger signal: OpenAI realized it doesn't want to run enterprise software — it wants to build AI infrastructure. What happens to Statsig customers who chose the platform for its rapid innovation?
Read on MarTech →Atlassian Launches "Flex" — A New Commercial Model for AI
Atlassian officially unveiled Flex on May 6, offering enterprises flexible, consumption-based pricing for AI features. Instead of per-seat licensing that punishes adoption, Flex lets teams scale AI usage up or down. This is a direct shot at the enterprise software pricing model that's been under siege since AI started automating work — if AI does the work of 3 people, why pay for 3 seats?
Read on TechnoSports →GEM: The Framework for Optimizing for AI Discovery
Generative Engine Marketing (GEM) is formalizing how brands appear in LLM recommendations. The shift: instead of optimizing for human keyword searches, marketers now need to optimize metadata and training data for algorithmic comprehension. Case studies show measurable lifts in CTR and ROAS when campaigns target AI responses, not just consumer search. AI is becoming both audience and distributor.
Read on Growth Hakka →Kore.ai Leads 2026's Top Agentic AI Platforms
New analysis ranks the 7 best agentic AI platforms for enterprise deployment: Kore.ai, Glean, Moveworks, Aisera, Sierra, Decagon, and Cognigy. The key finding: building one prototype agent is easy, but running thousands of governed, reliable agents in production is where most companies stall. Gartner predicts 40%+ of enterprise apps will embed role-specific AI agents by year-end.
Read on Kore.ai →AI-Powered Predictive Analytics Reshaping Marketing Planning
Businesses are now relying heavily on AI-powered predictive analytics to forecast trends and customer behavior before launching campaigns. Retailers predict product demand; marketing teams anticipate customer interests. The shift from reactive to predictive is becoming table stakes — the question is whether your data infrastructure can support it.
Read on LogIQ Curve →💡 My Take
Read this one: The Amplitude/Statsig piece is a case study in what happens when AI companies acquire enterprise software and realize they don't want to run it. OpenAI kept the talent, Amplitude got the code. "A race car without a driver" is brutal but accurate. For anyone watching the enterprise landscape: expect more of this. AI companies are optimizing for infrastructure, not enterprise software operations.