Inteligência Artificial

Few companies have the capacity to create a new category of hardware. When OpenAI, creator of ChatGPT, joins forces with Jony Ive, responsible for the design of the iPhone, the market naturally begins to look beyond generative artificial intelligence and begins to discuss the future of personal computing. Recent statements from company executives show that this future may be closer than many imagined. OpenAI’s secret project is becoming one of the most watched bets in the technology market ...

While most people are following the race between increasingly powerful artificial intelligence models, a silent race is beginning to emerge behind the scenes in the industry. The goal now is not just to answer questions better, but to remember everything that matters to each user. This change could transform the relationship between people, companies and technology in the coming years. The new dispute in AI is for the construction of permanent digital memory ...

During the early years of generative artificial intelligence, the market focused attention almost exclusively on models. The dispute between OpenAI, Google, Anthropic and Microsoft revolved around capacity, speed and reasoning. In 2026, however, a new perception begins to gain strength within companies: intelligent agents do not fail due to a lack of intelligence, but due to a lack of context. It is precisely from this change that one of the most strategic areas of the new AI economy emerges: Context Engineering. ...

While the artificial intelligence race is often presented as a race between increasingly powerful models, a less visible transformation is happening behind the scenes. Companies have discovered that the real challenge is not just creating intelligent agents, but connecting them securely to the systems that drive the business. It is in this context that the Model Context Protocol (MCP) begins to gain space. The protocol is being viewed by developers, AI platforms and enterprise vendors as a potential standard infrastructure for connecting agents to ERPs, CRMs, databases, SaaS platforms and internal systems. ...

For years, artificial intelligence has been associated with large data centers, cloud services, and remotely run models. Now, Nvidia believes the next industry transformation will happen closer to the user. The company led by Jensen Huang has unveiled a new strategy to bring AI agents directly to personal computers, ushering in a race that could redefine the future of enterprise computing. Nvidia wants to transform computers into native platforms for AI agents ...

For years, the artificial intelligence race has been measured by chatbots, benchmarks, and text generation capabilities. In 2026, the dispute begins to migrate to a much more strategic layer: whoever can transform AI into real operational work within companies will be able to control a significant part of the next generation of the digital economy. Claude Code shows that AI agents are moving from being assistants to becoming software operators ...

After the explosion of corporate copilots and autonomous agents, a new layer of business transformation begins to emerge silently in 2026: the so-called Synthetic Employees. Global companies are creating digital employees powered by artificial intelligence capable of performing operational tasks, analyzing data, responding to customers and operating corporate systems with almost no human intervention. What are Synthetic Employees and why companies are starting to adopt them ...

Browsers with artificial intelligence are no longer just an experimental trend in Silicon Valley and are beginning to become a new operational layer within companies. The movement led by giants like Google, OpenAI, Microsoft, Perplexity and AI startups could change not only the way people browse the internet, but also how companies research, buy software, automate tasks and perform day-to-day digital operations. AI Browsers are becoming the new operating interface of the internet AI Browsers are intelligent browsers capable of understanding context, performing tasks, summarizing information, automating processes and interacting with digital platforms using natural language. ...

The traditional internet model based on clicks, pages and organic traffic is beginning to face its biggest disruption since the emergence of Google. In 2026, platforms powered by generative AI are moving from just indicating links to taking on the role of direct information intermediaries — and this could profoundly change the economics of publishers, user behavior and the future of SEO. The click-based internet begins to lose space for ready-made answers generated by AI ...

For years, traditional SEO was treated as the main strategy for capturing organic traffic on the internet. But the rise of generative AI, conversational search, short-form video, and closed social platform ecosystems is rapidly altering the dynamics of digital content discovery. Instead of competing solely for the top spot on Google, brands are now trying to appear simultaneously in ChatGPT replies, Google AI Overviews results, YouTube videos, TikTok searches, LinkedIn feeds, and AI-powered recommendation systems. ...