Honda Reports A Staggering 76% Decline in Q4 Operational Profits

by News Editor

May 14, 2025

In a surprising turn of events, the renowned Japanese automaker Honda has announced a 76% drop in its operational profits for the fourth quarter, falling short of market expectations as reported by CNBC. This comes as Honda braces for the full impact of the US-imposed tariffs on imported vehicles.

Essential Facts

Honda’s revenue for the fiscal fourth quarter ending March 31st was 5.36 trillion yen (approx. 47.26 billion USD), aligning with analyst predictions.
The operational profit plummeted to 5 billion yen, starkly missing the forecast of 275.52 billion yen.
Over the entire fiscal year ending in March, revenues achieved 21.69 trillion yen, surpassing LSEG’s average forecast of 21.63 trillion yen and marking a 6.2% year-over-year increase.
Nonetheless, the operational profit declined 12.2%, reaching 1.21 trillion yen against expected forecasts of 1.41 trillion yen.

What to Watch

Honda’s financial outcomes coincide with heightened trade tensions, as the US has imposed a hefty 25% tariff on imported automobiles. In response, Honda plans to manufacture the next generation of its hybrid Civic in Indiana instead of Mexico to circumvent potential tariffs on this popular model, reports Reuters.

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On the US automotive stage, Asian manufacturers claim six of the top eight positions in sales volume, with Honda holding the fourth spot. Additionally, discussions about a massive merger between Honda and Nissan valued at 60 billion USD have been called off, stalling the creation of a potentially vast automotive force.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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