mlbwhf@yahoo.com It’s been hot in London this week. Really hot. A dangerous heat wave has hit Western Europe. Yesterday, the UK recorded its highest ever June temperature at 36.1 °C (about 97 °F). But as the weather app on my phone confirmed, it felt like 39…
Source: MIT Technology Review
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arXiv:2606.27119v1 Announce Type: cross Abstract: Foundation decoders, a class of high-capacity neural decoders, are leading candidates for fault-tolerant quantum computing, with accurate and efficient decoding at large code distances. However, their construction often faces a steep scaling barrier, as larger code distances rapidly amplify the…
Source: cs.AI updates on arXiv.org
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arXiv:2601.16632v4 Announce Type: replace-cross Abstract: Time series forecasting has witnessed significant progress with deep learning. While prevailing approaches enhance forecasting performance by modifying architectures or introducing novel enhancement strategies, they often fail to dynamically disentangle and leverage the complex, intertwined temporal patterns inherent in time…
Source: cs.AI updates on arXiv.org
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arXiv:2410.13077v2 Announce Type: replace-cross Abstract: Transformer-based Large Language Models (LLMs) traditionally rely on final-layer loss for finetuning and final-layer representations for predictions, potentially overlooking the predictive power embedded in late layers. Interpretability tools such as the logit lens show that late-layer representations already carry largely…
Source: cs.AI updates on arXiv.org
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This article is brought to you by Capital One.After five years leading natural language understanding and eventually the entire Alexa AI organization at Amazon, Prem Natarajan made a nontraditional move: He became Chief Scientist at a bank. Not just any bank: Capital One, a financial…
Source: IEEE Spectrum
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“Scientific American” showcases the history and future of America’s scientific engine, highlighting promising young scientists and icons at MIT and beyond.
Source: MIT News – Artificial intelligence
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The new Google Finance is coming out of beta and launching a new Android app.
Source: AI
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Artificial intelligence is rapidly reshaping retail, but not in the ways consumers might immediately notice. The biggest transformation may not be flashy virtual try-ons or chatbot shopping assistants, but in how decisions are made behind the scenes: how products surface in search results, how inventory…
Source: MIT Technology Review
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AI adoption crossed a threshold in the last two years: using AI is no longer what sets a company apart — capturing value from it is. This page collects the most-cited AI adoption statistics for 2026, each linked to its primary source and dated. We update it as new data lands.
88% of organizations report using AI in at least one business function, up from 78% the prior year, with roughly two-thirds now using it in more than one function. The headline number has effectively plateaued near the top — which is why the competitive question has shifted from whether a company uses AI to how well it does. Source: McKinsey QuantumBlack, The State of AI, November 2025.
The frontier of adoption in 2026 is agentic AI — systems that take actions, not just generate text. 23% of organizations report scaling an agentic system somewhere in the enterprise, and another 39% are experimenting, meaning roughly 62% are already engaged with AI agents in some form. Source: McKinsey QuantumBlack, November 2025.
Adoption is underwritten by capital. Global corporate AI investment reached $252.3 billion in 2024, a 26% increase over 2023, and the number of newly funded generative-AI startups nearly tripled. Collapsing inference costs — down roughly 280-fold in under two years — have made deploying AI dramatically cheaper, accelerating adoption further. Source: Stanford HAI, AI Index Report 2025.
On the consumer side, ChatGPT alone reports on the order of 900 million weekly active users in early 2026 — and it is no longer alone, with Gemini and Meta AI each claiming hundreds of millions more. Inside organizations, a majority of knowledge workers now use generative AI at least occasionally, frequently ahead of formal company rollouts. Figures reported by providers; consumer totals are self-disclosed and should be read as directional.
The most important 2026 adoption statistic may be the one that isn’t a percentage of adopters: despite near-universal use, only a minority of companies report material, enterprise-level financial impact from AI. Adoption is easy; capturing value requires redesigned workflows, governance, and measurement. That gap — not access to the technology — is now the real differentiator. Source: McKinsey QuantumBlack, November 2025.
Every figure on this page links to a named primary source with a publication date. Organizational statistics are drawn from McKinsey’s State of AI (November 2025); investment and cost figures from Stanford HAI’s AI Index Report 2025; consumer usage totals are self-reported by providers and labeled accordingly. This page is reviewed monthly and updated when sources publish new data.
88% of organizations report using AI in at least one business function, up from 78% a year earlier (McKinsey, November 2025).
About 23% are scaling agentic AI and 39% more are experimenting — roughly 62% are already engaged with AI agents (McKinsey, November 2025).
Adoption outpaced the harder work of redesigning workflows, governance, and measurement. Only a minority of companies report material financial impact, which is why value capture — not adoption — is the 2026 differentiator.
In the mid-noughties, when music by the Killers and Franz Ferdinand blared out of every pub and nightclub I passed, I spent my days and nights struggling through a Ph.D. in applied mathematics. My research focused on simulating how special light waves interact in liquid…
Source: IEEE Spectrum
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