News & Press

The London headquarters becomes the strategic hub for the academy's global expansion, academic partnerships, and humanitarian goals across Europe, the Middle East, and Africa.

The Investment Alliance brings together sovereign wealth funds, venture capital, and corporate strategic investors to back AI startups committed to human-centered principles.

Founders, researchers, and investors are invited to apply for the inaugural Fellowship cohort — a community committed to human-centered AI through conferences, research, and investment access.

AI Academy launches strategic partnerships with leading universities worldwide — democratizing access to AI research, expanding fellowship reach, and welcoming Wrexham University as the first official academic partner.

A global fellowship uniting academia, industry, and investors to ensure AI innovation serves humanity.

Stanford HAI's annual AI Index — the most rigorous longitudinal tracking of AI progress published — covers research, technical performance, investment, education, policy, and public perception across 11 chapters.

McKinsey's annual survey of more than 1,000 organizations finds generative AI adoption doubled in six months — but the gap between 'experimenting' and 'capturing value' has widened sharply.

MIT Technology Review's annual list of breakthrough developments — multimodal reasoning, embodied AI, AI for scientific discovery, the open-vs-closed model debate, and what comes next.

Harvard Business Review on AI moving from execution tool to strategic partner — accelerated strategy cycles, AI-assisted scenario planning, M&A target identification, and the risks of leaning on hallucinated recommendations.

McKinsey estimates generative AI could add $2.6 to $4.4 trillion annually to the global economy across 63 use cases — with customer operations, marketing, software engineering, and R&D driving the bulk of measurable value.

The World Economic Forum's framework for thinking about AI as augmentation rather than replacement — how cognitive offloading reshapes knowledge work, with productivity gains, equity risks, and the skill-atrophy question.