Traditionally, we used to measure companies by their multiple, calculated as the company's valuation divided by its revenue. Multiples used to be a safe metric for investors to compare a company to other businesses. But with the AI companies of today, using multiples is no longer an option because, for many of them, they create a distorted picture of their true worth. Learn more at https://www.computerspeak.co/p/ai-valuations-two-years-from-chatgpt
Also in the headlines this week:
Index Ventures: Scaling Through Chaos in the Age of AI
Inc: The NBA Stepped Up Its Social Media Game With AI. So Can You
AP: Nvidia rivals focus on building a different kind of chip to power AI products
Fortune: AI enters a new phase, and the Fortune 50 AI Innovators list identifies the companies leading it
TechCrunch: Current AI scaling laws are showing diminishing returns, forcing AI labs to change course
The Verge: Niantic is building a ‘geospatial’ AI model based on Pokémon Go player data
CNBC: Business spending on AI surged 500% this year to $13.8 billion, says Menlo Ventures
WSJ: It Isn’t Just Data Centers—AI’s Plumbing Needs an Upgrade
Washington Post: Want to speak Italian? Microsoft AI can make it sound like you do.
The Information: OpenAI’s Female Staff Complain of Gender Disparity After Murati Exit
Fortune: How Mark Zuckerberg has fully rebuilt Meta around Llama
Business Insider: Inside Amazon's agonizing attempt to save Alexa with AI
WSJ: AI Investments Are Booming, but Venture-Firm Profits Are at a Historic Low
Business Insider: OpenAI ranks fourth among top tech vendors that IT leaders plan to spend the most with, survey finds
The Guardian: ‘Have your bot speak to my bot’: can AI productivity apps turbocharge my life?
The Economist: Will the bubble burst for AI in 2025, or will it start to deliver?
FT: Tech investor Xavier Niel urges Europe’s AI start-ups not to cash out