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Toyota Takes on Tesla with $3 Billion Investment in Autonomous Driving

Toyota is intensifying its competition with Tesla through a substantial investment of over $3 billion in autonomous vehicle technology, in collaboration with Japanese telecom giant Nippon Telegraph and Telephone (NTT). Announced by Toyota CEO Koji Sato, this investment will focus on creating an AI-powered infrastructure and software platform designed to improve road safety and reduce traffic accidents.

Toyota and NTT will jointly invest $3.27 billion to build a robust AI-driven platform aimed at predicting and responding to traffic incidents, with implementation slated for 2028 and potential sharing with other companies. This AI-powered network is expected to enhance safety, making autonomous driving systems more adaptive to real-time traffic situations.

Background

Japanese companies, including Toyota and NTT, have been investing in autonomous technology for years, though they lag behind competitors like Tesla and BYD in developing software-defined vehicles. Toyota and NTT’s partnership began in 2017 with a focus on 5G applications for vehicles, expanding in 2020 to include a smart city project. By 2021, Toyota had also launched a specialized division dedicated to AI-driven autonomous driving technology.

Tesla, meanwhile, remains a prominent player in autonomous driving, having recently unveiled its robotic taxi and begun initial tests of a taxi service in the U.S. However, the timeline for mass production of Tesla’s robotic taxis remains uncertain.

In 2023, Toyota reported a revenue of $270.5 billion, while NTT’s revenue was approximately $97.4 billion last year. With this new venture, Toyota aims to close the gap in the autonomous driving race, positioning itself to make significant strides in the industry.

Cloudflare Sets New Default To Separate Search Crawlers From AI Bots

Cloudflare has drawn a sharper line between traditional search and artificial intelligence.

Beginning September 15, 2026, the company will change its default settings to block so-called mixed-use crawlers from pages that run ads, unless a site owner chooses otherwise. The policy applies to new Cloudflare customers, new sites created by existing customers, and all current free customers.

A Clearer Divide In Web Access

The shift could materially reshape how AI companies collect web data for model training and agentic products. Cloudflare’s central argument is straightforward: most publishers want their content to remain visible in search and accessible through certain AI services, but they do not want that same material repurposed without compensation.

In Cloudflare’s view, the problem is not crawling itself. It is the blending of three different functions: search, agentic use, and training into a single bot that makes it difficult for website owners to set meaningful boundaries.

The Google Question

Cloudflare pointedly referenced the “world’s largest search engine,” an unmistakable nod to Google, arguing that it has access to roughly twice as much information as rival AI companies because it makes it harder for customers to stay discoverable without also being used for AI.

Google has disputed that framing. The company offers Google Extended, a crawler setting that lets publishers opt out of having content used for training and AI products such as Gemini apps and Vertex AI, without affecting visibility in Google Search. At the same time, Googlebot still crawls for Search and for AI-powered features such as AI Overviews and AI Mode.

Publishers Want Reach, Not Exploitation

Matthew Prince, Cloudflare’s co-founder and chief executive, said the company is moving quickly because the internet is now dominated by machine traffic.

“Now that the majority of traffic on the Internet is non-human, we must go further and act faster so that a sustainable ecosystem can emerge,” Prince said, referring to the recent milestone in which bots surpassed human traffic online sooner than expected.

Prince added that Cloudflare’s tools and partnerships are designed to give publishers more visibility and commercial leverage, while also rewarding AI companies that are transparent about how they use content.

From Pay Per Crawl To Pay Per Use

Cloudflare has increasingly positioned itself as a gatekeeper for publishers looking to assert control in the AI era. The company already offers tools to block AI bots, along with a marketplace called Pay Per Crawl, which lets websites charge AI systems for scraping.

That framework is now expanding into Pay Per Use, which Cloudflare says will allow publishers to charge AI companies when content creates value, not merely when it is fetched. In practical terms, that shifts the economics from extraction to monetization.

Cloudflare says the move may also reduce waste. Its data suggests more than half of crawl traffic from AI bots is spent revisiting pages that have not changed, consuming bandwidth and compute without adding fresh value for either side.

Early Partners Signal The Commercial Model

To launch the new system, Cloudflare is working with Ceramic.ai and You.com. Under the opt-in model, publishers can be paid when their content appears in Ceramic’s AI search results or when You.com accesses premium material.

Cloudflare says other AI companies can adapt the model to fit their own products. The broader message is clear: the era of unrestricted crawling is giving way to one in which access, attribution, and compensation are increasingly negotiated rather than assumed.

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