Why Does AI Need Your Experience Data

AI needs data to do its magic, and it is ever more true with LLMs (Large Language Models). The AI industry has been accumulating huge volumes of data from the internet, but there are some data that are valuable yet hard to access publicly, and one good example is your experience data! So why Is It difficult for the AI Industry to obtain experience data?

1. Privacy and Data Protection Laws

One of the main reasons AI startups cannot access behavioral data publicly is the rise of privacy and data protection laws, such as GDPR (General Data Protection Regulation) in Europe and CCPA (California Consumer Privacy Act) in the United States. These regulations place strict limitations on how companies can collect, store, and share personal data, including user behavior data. Sharing this kind of data publicly without user consent would violate these regulations.

2. Data Monopolies By Big Tech Companies

Many large companies like Google, Facebook, Amazon, and Apple have vast amounts of user behavior data collected through their platforms. These companies typically do not share this data with third parties, especially competitors, because it is a key asset that gives them a competitive advantage.

Example: Facebook’s wealth of behavioral data allows it to offer hyper-targeted advertising services. Sharing this data would diminish its unique value proposition, so it's kept proprietary.

3.Huge Cost of Acquiring Proprietary Data

Purchasing proprietary behavioral data from third parties is often prohibitively expensive, especially for AI startups, as large-scale consumer behavioral data from a third-party data broker can cost tens of thousands of dollars.