This month: why two-thirds of organisations still have not scaled AI and what the companies that cross the gap do differently, three defences to build against AI-driven cyber threats, Utah’s AI healthcare pilots, the AI productivity surge and the workforce reset it demands, plus The AI 5 led by OpenAI’s Dots.
Strategy & leadership
Enterprise AI is entering a more difficult era. For the past two years, businesses have been encouraged to experiment with large language models, copilots,…
Enterprise AI has advanced beyond the stage of experimentation. Businesses are now applying generative AI and AI software solutions to improve customer service, software…
For a considerable time, prompt engineering was seen as one of the most important abilities in generative AI. Developers and consumers were trained to…
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
Industry transformation & market disruption
AI risk, security & governance
Real-world enterprise deployments, with the numbers
People, skills & organizational transformation
Tuesday, 13 October 2026 · curated for CxOs by the AI Business Magazine Newsdesk
Today's AI Business Daily Briefing covers significant developments in AI chip competition, new AI model releases, evolving communication strategies, and market impacts.
Major tech companies like Microsoft are developing proprietary AI chips, such as the Maia 300, to reduce dependence on Nvidia, signaling a shift towards internalizing AI infrastructure.
Meta introduced Muse Wonder and Muse Wonder Full, advanced AI models designed to compete with industry leaders, featuring 'Active Memory' and 'Active Focus' for enhanced performance.
Atlassian CEO Mike Cannon-Brookes emphasized the importance of context in AI collaboration, introducing tools like the Agentic Multiplayer Protocol to enhance team productivity without replacing human workers.
A significant sell-off in semiconductor stocks, driven by concerns over rising competition from China's CXMT, led to declines in Asian markets, highlighting the impact of AI developments on the tech sector.
An exploration of AI-assisted programming reveals how commercialization and corporate-driven guidelines are marginalizing independent programmers, emphasizing the need to reclaim personal agency in software creation.
U.S. stock markets experienced mixed performance, with the S&P 500 near its all-time high, as investors remain cautious amid rising energy prices and geopolitical tensions.
October 2026 features several prominent technology conferences worldwide, showcasing the latest in cybersecurity, digital infrastructure, and 5G advancements.
