
Prompt Engineering Is Dead: 5 Layers of Context Engineering That Actually Work in Production
For a considerable time, prompt engineering was seen as one of the most important abilities in generative AI. Developers and consumers were trained to…
This month: why the productivity gains employees feel aren't showing up in company results, the new AI operations role every business will be forced to create, and the tools, courses and events shaping the rest of 2026.
AI for business strategy — the operating-model rethink

For a considerable time, prompt engineering was seen as one of the most important abilities in generative AI. Developers and consumers were trained to…

Enterprise AI is advancing past chatbot technology. Businesses are increasingly implementing AI agents that enable data analysis, conclusions, process activation, and, in certain instances,…

Artificial intelligence has become an assistant in day-to-day operations for many employees today. Writing emails, producing reports, or creating software has become possible thanks…
The tools teams are actually deploying




Who is raising, building and breaking out

In 2026, a shift in the development of technology took place. The focus of the industry moved away from solely focusing on the standard models of the giants…
Leadership programmes — no coding required



The executive desk, upgraded
CEOs and CAIOs on what is actually working




Real-world enterprise deployments, with the numbers




Monday, 24 August 2026 · curated for CxOs — follow links to sources
Today's AI Business Daily Briefing highlights significant developments in AI partnerships, market dynamics, and regulatory considerations.
IBM and OpenAI have announced a strategic partnership aimed at deploying AI at scale across core business operations, with a focus on enhancing cyber defense and resilience through initiatives like OpenAI Daybreak.
Alibaba is launching a $10.2 billion equity raise to finance its rapid expansion in AI infrastructure, signaling intensified competition among global tech giants in the AI sector.
Nvidia has notified major customers of price increases exceeding 15% on AI server products, indicating ongoing supply constraints in the AI hardware market.
Broadcom is in discussions to raise more than $60 billion in debt to finance AI chip supply agreements with companies like Anthropic, highlighting the growing investment in AI hardware.
Open-source AI models have increased their token share from 28% to 62% in two months, reflecting a shift towards more cost-effective, self-hostable solutions in the AI market.
Chinese internet companies are incorporating AI into daily digital services, though specific product and adoption details remain unverified, raising questions about transparency and competition.
The legality of training AI models on copyrighted books remains unsettled, with fair-use rulings creating risks for model builders, highlighting the need for clear regulatory frameworks.