Grab is launching robotaxis in Singapore next year while investing heavily in autonomous vehicle companies. CEO Anthony Tan suggests current drivers could transition to remote safety roles and technical positions as the company moves toward automation.
Gabriel-James Safar and Sébastien Deprez, who previously sold their startup Madumbo to Datadog, have raised $10 million in seed funding for their new observability company Tsuga. The Paris-based startup is taking on the $50 billion giant with a “bring your own cloud” approach that could disrupt trad
Mark Zuckerberg’s Meta and OpenAI are explicitly targeting AGI development, while nearly 70,000 experts signed a statement warning about superintelligence risks. The future of humanity might depend on who gets there first – and what they do with it.
Microsoft’s first in-house AI image generator is now live in Copilot with no waitlists. The model, called MAI-Image-1, specifically targets photorealistic outputs and fixes common AI art flaws like messed-up hands. Early users are calling it a huge improvement over previous systems.
Cisco is centralizing its customer experience services around artificial intelligence. The company’s new Cisco IQ platform aims to replace fragmented tools with a unified intelligence system. This represents a major shift in how enterprises manage their network infrastructure and services.
Google is developing space-based AI data centers called Project Suncatcher. The company plans to launch prototype satellites with TPUs by early 2027 and believes orbital data centers could become economical by the mid-2030s when launch costs drop dramatically.
Pay3 just launched a platform that allows AI agents to autonomously execute financial transactions using stablecoins. This comes as Gartner predicts 33% of enterprise software will include agentic AI within three years. Meanwhile, stablecoins face a serious illicit activity problem.
Goldman Sachs CEO David Solomon isn’t buying the AI jobs apocalypse narrative. He believes the economy will adapt and create new opportunities despite AI-driven changes.
Nearly all market researchers have adopted AI tools, with 72% using them daily. But the industry faces a trust crisis as 40% report AI errors and 37% cite new data quality risks.
Anthropic reportedly expects to hit $70 billion in revenue and $17 billion in cash flow by 2028. The projections show a dramatically different path than OpenAI’s loss-heavy approach. But can either strategy actually deliver?
