Jeff Bezos Reportedly Pursuing $100 Billion to AI-Transform Legacy Manufacturing
TechCrunch reports that Jeff Bezos is pursuing a new venture centered on acquiring legacy industrial and manufacturing firms and revamping them using artificial intelligence. According to the report, Bezos is seeking to raise as much as $100 billion to fund the initiative. The project would focus on identifying established manufacturing businesses and applying AI technology to modernize their operations. No further details about specific acquisition targets or a formal fund structure have been publicly confirmed at this time.
Cloudflare CEO: Bot Traffic to Surpass Human Traffic Online by 2027
Cloudflare CEO Matthew Prince has stated that AI-driven bot traffic is on pace to exceed human-generated web traffic before the end of 2027. TechCrunch reports that Prince attributes this shift to the rapid proliferation of generative AI agents, which are increasingly crawling, querying, and interacting with web infrastructure at scale. The trend is expected to place significantly higher demands on internet infrastructure providers as automated traffic volumes continue to climb. Cloudflare has direct visibility into global web traffic patterns given its role as a major content delivery and network security provider.
Meta Deploys New AI-Powered Content Enforcement Systems
Meta has announced the rollout of updated AI systems designed to handle content enforcement across its platforms. According to TechCrunch, Meta reports that the new systems are built to detect a broader range of policy violations with greater accuracy than previous approaches. The company states the systems are also better equipped to respond to real-world events in a more timely manner and are designed to reduce instances of over-enforcement — cases where content is incorrectly actioned. As part of this update, Meta indicated it is reducing its reliance on third-party vendors for content moderation infrastructure, bringing more of this capability in-house.
DoorDash Launches 'Tasks' App to Crowdsource AI Training Data from Couriers
DoorDash has introduced a new application called Tasks, which enables its delivery couriers to earn additional income by contributing data used to train AI models. TechCrunch reports that the app allows couriers to complete activities such as filming themselves performing everyday tasks or recording speech samples in multiple languages. This type of crowdsourced data collection is commonly used in the AI industry to build and improve training datasets for computer vision, speech recognition, and related machine learning applications. The Tasks app represents DoorDash's direct entry into the AI data labeling and collection space, leveraging its existing network of gig workers.
These developments reflect the continued expansion of AI across industrial investment, internet infrastructure, platform moderation, and data collection. Check back for more updates as these stories develop.