Anthropic CPO says 'AI FOMO' pushed companies to use the technology. Now, they want success metrics

The race to adopt artificial intelligence (AI) technologies is intensifying as businesses grapple with the challenge of measuring their effectiveness. Mike Krieger, who co-founded Instagram and currently serves as the Chief Product Officer at Anthropic, shared insights on this evolving landscape during a recent episode of the 'Superhuman AI: Decoding the Future' podcast. Krieger highlighted that many organizations are moving beyond the initial excitement of AI—often driven by a sense of fear of missing out (FOMO)—to a more analytical approach that involves assessing productivity metrics. He noted, "The best products can be grounded in some kind of success metric or evaluation," which is crucial for companies that are integrating AI into their operations. As businesses aim to invest wisely in AI tools, Krieger emphasized the importance of asking critical questions: "Is this a good product now, and is this a product that's going to set up to succeed and scale?" While measuring productivity can be straightforward in some areas, like technical support or legal services, it becomes more complex in others. For instance, Google CEO Sundar Pichai reported in June that AI had contributed to a 10% increase in engineering output. This figure was derived from quantifying the extra hours gained through the use of AI-powered tools. Krieger acknowledged that just two years ago, many AI solutions lacked defined metrics, primarily fueled by corporate FOMO. However, he noted a significant shift, as enterprises are now prioritizing return on investment and internal adoption metrics to validate their AI implementations. Krieger often receives inquiries about the effectiveness of AI tools like Claude Code, advising companies to examine daily active user metrics as a reliable indicator of success. Usage metrics are on the rise, with organizations increasingly scrutinizing which employees leverage AI tools effectively. For instance, Meta has recently introduced a dashboard and a gamified approach to track AI usage among its workforce. Ultimately, Krieger believes that consistent use of AI tools is a strong signal of their value. "People do not use tools over and over again every day if they're not providing value," he concluded, underscoring the importance of measurable outcomes in the AI adoption journey.