Technology1 min read

Meta employees test prediction-market app, WSJ reports

By · Published by Everything Blog

In short

Meta Platforms staff are currently piloting the internal prediction-market tool Takes using a non-monetary system dubbed "cred," which stands for credibility. The software is currently restricted to internal employees, and the company has not confirmed any plans for a wider public launch. The experimental project coincides with an industry-wide surge in forecasting platforms, where platforms like Kalshi and Polymarket have successfully engaged younger users. According to an S&P Global Market Intelligence Kagan survey, more than 60 percent of participants on those competing services are under 35 years old.

Key points

  • The internal testing indicates Meta is exploring prediction markets amid rising industry…: The internal testing indicates Meta is exploring prediction markets amid rising industry interest.
  • Takes remains an internal experiment with no confirmed timeline or guarantee of a public…: Takes remains an internal experiment with no confirmed timeline or guarantee of a public release.
  • Competing prediction platforms are successfully capturing market share driven primarily b…: Competing prediction platforms are successfully capturing market share driven primarily by Gen Z audiences.

Sources checked by our analysis pipeline: 1

Nov 13 : Meta Platforms' employees have begun testing a prediction-market app called Takes, the Wall Street Journal reported on Friday, citing people familiar with the matter.

Here are some details:

• Employees can wager on the outcome of questions or events using "cred," short for credibility, rather than real money, the report said

• The app is not available to the public and it is unclear when, if ever, it will be released, according to the report

• Meta did not immediately respond to a Reuters request for comment

• Prediction markets such as Kalshi and Polymarket are drawing Gen Z users, with just over 60 per cent of their users under the age of 35 years, according to a recent S&P Global Market Intelligence Kagan survey

Technology