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23 articles
Sequoia Capital has raised $7 billion for its largest late-stage fund to date, signaling strong confidence in the AI-driven tech landscape. The fund, led by co-stewards Alfred Lin and Pat Grady, is focused on backing companies at the forefront of AI innovation.
The UK has launched a £500 million ($675 million) Sovereign AI Fund to reduce dependence on foreign technology and strengthen domestic AI capabilities.
Accel has raised $5 billion for AI investments, focusing on late-stage companies with significant returns from Anthropic and Cursor driving investor confidence.
Microsoft is investing $10 billion in Japan from 2026 to 2029, marking its largest ever commitment to the country and signaling a major push into the AI-driven future.
KPMG's Global AI Pulse survey reveals a widening gap between enterprise AI spending and measurable business value, with AI agents emerging as key drivers of margin gains.
Learn to build an AI project monitoring dashboard that tracks ROI and impact metrics for AI investments, helping you evaluate the financial return and meaningful impact of AI projects.
SoftBank's $40 billion loan from JPMorgan and Goldman Sachs signals strong confidence in AI investments and may indicate preparations for OpenAI's 2026 IPO.
SoftBank has secured a $40 billion bridge loan to fund its $30 billion follow-on investment in OpenAI, bringing its total stake to $64.6 billion.
OpenAI announces the launch of the OpenAI Foundation, committing at least $1 billion to disease research, economic opportunity, AI resilience, and community programs.
This article explains how AI-first venture capital investment strategies work, including the dual-stage funding approach and why major investors are allocating billions toward AI companies.
London's Air Street Capital has raised a $232 million Fund III, becoming one of Europe's largest solo VCs focused on early-stage AI companies.
Goldman Sachs observes a shift in AI investment toward data centre infrastructure, as the market moves toward a 'flight to quality' and focuses on scalable, energy-efficient computing solutions.
