By the end of 2025, half of companies used AI in at least three business functions, according to a recent survey. As AI adoption accelerates across finance, supply chains, HR, and customer operations, experts emphasize the need for a robust data fabric to unlock its full business value. This shift highlights AI's growing role in enterprise operations.
Google launched its 8th-generation TPU chips, TPU 8t for training and TPU 8i for inference, co-developed with Broadcom. The TPU 8i offers 80% better performance-per-dollar than the Ironwood chip. The TPU 8t scales to 9,600 chips and doubles Ironwood’s interchip bandwidth, enhancing AI training capabilities. The launch was announced in April 2026.
Robinhood Ventures invested $75 million in OpenAI on April 17, 2026. This investment is part of Robinhood’s Fund I, listed on the NYSE under ticker RVI since March 6, 2026, which aims to give retail investors access to private companies. The fund also holds stakes in firms like Airwallex, Databricks, and Stripe.
Snap Map has introduced ‘Place Loyalty’ badges, allowing users to see their ranking among the top 25% of visitors to specific locations. Users can view their visit frequency and choose to share their rankings. The feature aims to enhance social engagement by highlighting users' most visited spots, though specific launch dates and user numbers were not disclosed.
Robinhood Ventures Fund I invested $75 million in OpenAI on April 17, 2026, acquiring common stock in the ChatGPT developer. The fund, traded on the NYSE under the ticker RVI, also holds stakes in companies like Stripe, Databricks, and Revolut. This investment marks a significant move in Robinhood’s expanding Web3 and AI portfolio.
Navitas (NVTS) focuses on GaN and SiC power semiconductors for AI data centers, EVs, and industrial markets. Despite a revenue drop to $45.9M in 2025, the company aims to grow with Q1 2026 guidance of $8.0M–$8.5M. Its market cap remains around $3.26B, making it a long-term investment candidate for patient investors interested in AI hardware.
The Download newsletter highlights the top 10 critical issues in AI as of April 2026, amid ongoing launches, hype, and warnings. While specific details and figures are not provided, the focus is on identifying what truly matters in AI technology today, reflecting the rapid pace and complexity of developments in the field.
