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Many startups are struggling to find a sustainable pricing model for AI-powered software. Most are either scaring away customers with enterprise contracts, or selling at a loss and praying for cheaper models.
Stanford researchers analyzed payroll data from 25 million American workers and found AI is already replacing early-career workers in specific fields. Software developers aged 22-25 have seen 6% job losses since ChatGPT launched, while developers over 30 gained 9% more jobs in the same period. Customer service shows the same pattern - young workers losing jobs, older workers gaining them. The data suggests AI isn't coming for all jobs or even most jobs, but it's systematically eliminating the entry-level positions in fields where experience matters less and tasks can be automated.
Klarna plans to go public in the U.S. next month, seeking a valuation of $13-$14 billion after pausing its IPO in April. The fintech company aims to raise nearly $1 billion, with shares priced at $34-$36. This reflects a significant drop from its 2021 valuation target of $50 billion.
xAI open-sourced the model weights for Grok 2.5, its leading model from last year, on Hugging Face. Elon Musk noted that Grok 3 is expected to be open-sourced in about six months.
Many tech companies enforce long-term contracts to mask churn by preventing dissatisfied customers from leaving. This tactic hides dissatisfaction rather than addressing root problems, leading to customer resentment and lost future revenue. Instead, companies should prioritize customer satisfaction and renewals through excellent product and service, fostering loyalty without forced commitments.
Google Cloud's ARR reached $54 billion, with a 31.7% growth driven by AI advancements. Key drivers include increased infrastructure demand, new revenue from Gemini AI models, and competitive AI-native positioning. Google also reported 38% backlog growth, a 35x increase in Gemini customer adoption, and larger deal sizes, indicating robust enterprise adoption and confidence in sustained growth.
Claude has released a new browser extension for Chrome.
Build ChatGPT-style analytics into your product.
Create movies with AI.
Rillet raised $70M in a Series B funding round led by Andreessen Horowitz and ICONIQ, bringing its total funding to over $100M in less than a year. The AI-native ERP platform, designed for modern finance teams, is rapidly growing with over 200 customers, including strategic partnerships with top accounting firms. Rillet aims to redefine enterprise accounting by offering faster insights, leaner teams, and improved decision-making through native integrations and AI-powered financial systems.
Public SaaS companies are spending between $2 and $8 to acquire $1 of revenue. Most of this money goes to the same place: trying to get leads into the top of the funnel. Monday.com learned this lesson painfully when its stock dropped 30% in a single day after admitting organic search had dried up. Without a cheap pipeline, you grow slower or pay more. Now, everyone's betting AI will save them, but AI SDRs are producing the same mediocre results as human SDRs, only faster and in greater volume. The math suggests something different: use AI to cut your sales team in half while keeping revenue flat, then pour those savings into finding new customers.
Othman Laraki left Twitter to build a $250 genetic test because the one that could have saved his grandmother cost $4,000. He knew nothing about healthcare but figured the technology was simple enough. After two years of talking to doctors and insurance companies, he learned that healthcare doesn't work like normal markets - even if you make something 90% cheaper, insurance companies can't buy more of it from just you because doctors want tests from specific labs, so they restrict the whole category instead. The cheap test was the wrong product anyway. Big employers who actually pay for healthcare don't want to buy individual tests, they want to cut their cancer costs by millions. So Laraki built a virtual cancer clinic instead, which is now worth a billion dollars. Most technical people think everyone before them was incompetent, but usually those people were just responding to incentives you don't understand yet.
Netskope filed to go public at $707 million in annual revenue, growing 33% - numbers that shouldn't coexist at this size.
Companies love copying simple operating systems from the outside without understanding why they work.
Ask someone to explain how a toilet works and watch them stumble.