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What's new in AI

What's new in AI: 28 Aug 2026

28 Aug 2026 · All digests

Key developments include OpenAI's accelerator in Thailand, Nvidia's sales forecast and potential acquisition of Hugging Face, a court ruling on Anthropic's blacklisting, and Google's expanded AI Mode travel features.

OpenAI launches eight-week accelerator for Thai health, wellness and education AI startups

OpenAI and Thailand's Ministry of Higher Education, Science, Research and Innovation announced a program to help ten startups move from prototype to trusted product.

Understanding accelerator structures helps you guide early-stage AI projects to market readiness.

Source: OpenAI

Nvidia projects $673 B in sales as AI demand widens

Nvidia's forecast predicts $673 billion in revenue, driven by growing demand for AI chips across industries.

Revenue forecasts illustrate the scale of hardware opportunities for AI engineers and product teams.

Source: Hacker News AI

Nvidia reportedly close to acquiring Hugging Face for $12.9 B

Reports say Nvidia plans to buy the open-source AI hub Hugging Face, aiming to protect its chip ecosystem and re-enter the cloud market.

Mergers of major AI platforms affect ecosystem choices and integration strategies for developers.

Source: TechCrunch AI

Google AI Mode adds flight-price tracking and hotel booking

Google expanded its AI Mode in Search to let users monitor airfare, book hotels and view rewards, positioning it as an AI travel assistant.

Product teams need to learn how generative AI can be embedded in consumer-facing workflows.

Source: TechCrunch AI

Court rules Pentagon's blacklist of Anthropic was unconstitutional

A federal judge found the Trump administration's removal of Anthropic from a government contract list violated the Constitution.

Legal outcomes shape compliance requirements for AI companies working with government contracts.

Source: The Verge AI

What to learn from this

Turn today's news into a plan

Study how to design AI-enhanced product features that integrate with existing services, focusing on prompt engineering, API usage, and user experience testing. Then explore AI governance basics, including compliance with government procurement rules and ethical risk assessment, to prepare for regulatory scrutiny.

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