Tesla is negotiating with Intel to manufacture its new AI5 chip, aiming to significantly reduce production costs to just 10% of those for Nvidia’s equivalent. This collaboration could also lower power consumption by one-third. Although a formal agreement has yet to be reached, the discussions mark a pivotal moment for the AI hardware market.
At a recent shareholder meeting, Tesla CEO Elon Musk outlined the company’s ambitions for the AI5 chip, indicating that this partnership could lead to substantial advancements in AI technology. The potential impact on cost and energy efficiency positions Tesla to compete more aggressively in the rapidly evolving AI sector.
In related developments, Bengaluru-based digital lender Finnable has successfully raised Rs. 250 crore in its August funding round. The investment, led by Z47 (formerly known as Matrix Partners) and TVS Capital, boosts the company’s total funding to Rs. 540 crore. Finnable plans to allocate these funds towards technology upgrades, branch expansion, and launching new products, including loans against property.
With its assets under management reaching Rs. 2,924 crore as of June 2025, Finnable is poised to make significant strides in India’s fintech landscape. The funding will enhance its offerings and improve customer services, demonstrating the growing investor confidence in the Indian digital lending space.
The broader context of India’s banking, financial services, and insurance sector indicates a booming job market, with approximately 250,000 new positions expected by 2030, particularly in tier-2 and tier-3 cities. Candidates are encouraged to enhance their digital literacy and customer service skills to meet the evolving demands of the industry.
Furthermore, an increasing number of cryptocurrency holders are shifting their focus from major coins like Bitcoin to lesser-known tokens. This trend arises from the sluggish performance of dominant currencies and the pursuit of higher returns by digital asset treasury firms. Analysts warn, however, that investing in less liquid tokens could lead to greater market instability and increased risks for investors.
In addition, a range of books has emerged that delve into the workings of large language models, their real-life applications, and how to engage with them. These resources cater to both beginners and advanced readers, bridging the gap between curiosity and understanding in the field of AI and language-based applications.
Overall, the tech landscape is buzzing with innovation and investment, as companies like Tesla and Finnable make substantial moves that could reshape their respective industries.
