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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.

Zendesk Acquires Forethought To Strengthen AI Customer Support Tools

Zendesk, a company known for customer support software, has announced the acquisition of artificial intelligence startup Forethought. The deal is expected to close by the end of March and represents another step in the growing use of AI to automate customer service operations.

Strategic Innovation In Customer Service

Forethought has been developing AI tools for customer support automation for several years. The company first gained industry recognition after winning the TechCrunch Battlefield competition in 2018, well before the widespread adoption of generative AI tools.

Since then, Forethought has expanded its customer base to include companies such as Grammarly, Airtable, Upwork and Datadog. By 2025, the platform was processing more than one billion customer interactions each month, highlighting the growing role of automation in support operations.

Pioneering Leadership And Industry Recognition

Deon Nicholas, Forethought’s co-founder and chairman, hailed the acquisition as a milestone in a recent LinkedIn post. According to Nicholas, advances in AI over the past several years have accelerated adoption across multiple industries, particularly in areas that rely heavily on customer communication and service management.

Enhancing Zendesk’s Product Portfolio

The integration of Forethought’s technology is expected to expand Zendesk’s AI capabilities across its product suite. Company executives said the acquisition could accelerate development of several planned features by more than a year. These capabilities include specialized AI agents, systems that improve automatically through usage data and more advanced voice-based customer support tools. Zendesk has previously expanded its platform through acquisitions, including companies such as Zopim and BIME Analytics, which added messaging and analytics functionality to its products.

Implications For The Future

The acquisition reflects a broader shift in the software industry toward AI-driven automation of customer service tasks. Companies are increasingly using AI systems to handle routine inquiries while human agents focus on more complex cases. Zendesk’s move highlights how enterprise software providers are investing in AI technologies to improve efficiency and scale customer support operations as demand for digital service channels continues to grow.

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