Stay ahead with our in-depth blog series on the newest frontiers in artificial intelligence. Explore emerging topics such as AI security, agentic AI systems, and the quest for explainable AI. Learn how innovators tackle ethical risks, design autonomous agents, and enhance model transparency and accountability. Get actionable insights into regulatory trends, technical breakthroughs, and real-world examples that shape tomorrow’s intelligent systems.
Enterprise implementation of AI is turning out to be a rocky road. In May 2026, Starbucks abandoned its high-profile AI-based inventory system, after nine months of failing to get it to work. The “Automated Counting” system was deployed at 11,000 Starbuck stores, rolling out from September 2025. Staff were provided with handheld tablets to scan…
One of the areas where large language models (LLMs) like Anthropic’s Claude have made substantial progress is in generating computer code. Just as LLMs can produce outputs in English or Spanish, they can do so in computer languages like Python, Java, Ruby and more. This is all very cutting edge, and the true effect on…
More than three years after the generative AI explosion that started with ChatGPT, we are seeing a distinctly mixed picture in terms of AI adoption and productivity. In February 2026, the Goldman Sachs Chief Economist assessed the effect of AI on US productivity as “basically zero”, and multiple studies have found that the failure rate…
When an AI agent is asked to keep an email secret from another user, you would hope that it would find a way of doing this without destroying the email server, but you would be disappointed. The field of artificial intelligence (AI) is moving from chatbots like ChatGPT and Claude to “agentic AI”, whereby AI…
A series of studies have now shown that corporate AI projects are failing at a disturbingly high rate. MIT in August 2025 found that 95% of AI projects fail to deliver any economic return. The same was found at the same 95% failure rate by Boston Consulting Group in September 2025. Similar, albeit slightly lower,…
Agentic AI is the most fashionable area of AI at the moment. Moving beyond chatbots that answer questions or generate text or images, the idea of agentic AI is to equip AI with resources and a degree of free will (“agency”). A chatbot can advise you on planning a holiday and recommend flights, hotels and…
What if a cardboard sign could cause a self-driving car to crash—or force a drone to land immediately? Recent research shows that misleading text placed in a robot’s visual field can have potentially dangerous real-world consequences. One of the more established use cases for AI has been in robotics, with the first AI-driven robot, called…
For the last three years or so, generative AI, powered by large language models (LLMs) have been pushed by vendors and consultants as the ultimate automation tool. Previous waves of AI have struggled to make a lasting impact outside of niche applications, as IBM found out with its Watson AI tool. A much-publicised flagship Watson…
In June 2025, Linus Torvalds, the inventor of Linux and Git, was asked about “vibe coding”, where non-programmers use large language models to write code. He memorably described it as “Very Inefficient But Entertaining”. However, the world of AI is far from static, and the release of Claude Opus 4.5 in November 2025 seems to…
It is now just over three years since ChatGPT was launched publicly by OpenAI, and ignited a wave of interest in AI and huge investment in companies providing AI products and services. OpenAI itself has been publicly pondering a 2026 IPO at a potential valuation of $750 billion or more. NVIDIA, which makes the specialist…