For years, the dispute between artificial intelligence platforms was treated as a comparison of the quality of responses. By 2026, this approach no longer makes sense for most companies. The strategic question has changed. Instead of looking for which AI writes best, managers want to discover which platform generates more productivity, reduces more operational costs and creates a sustainable competitive advantage. In this scenario, Claude, from Anthropic, and ChatGPT, from OpenAI, became the two main candidates to occupy the role of corporate interface for the new economy based on intelligent agents. ...

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 ...

A silent change is happening in the corporate market. While the public debate continues to focus on chatbots and digital assistants, giants like OpenAI, Salesforce, Microsoft and several infrastructure startups are accelerating a deeper transformation: the conversion of traditional enterprise software into platforms operated by autonomous agents. The movement could represent the biggest structural change in the SaaS market since the popularization of cloud computing. Agentic SaaS represents the natural evolution of enterprise software ...

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. ...

For years, the technological dispute revolved around software, applications and digital platforms. Now, artificial intelligence is changing the rules of the game. The new billion-dollar move by Alphabet, parent company of Google, shows that the battle is no longer just about algorithms and is now taking place in the infrastructure capable of supporting the next generation of the digital economy. Google’s billion-dollar investment reveals a strategic shift in the AI market Technology companies are realizing that the true competitive advantage of artificial intelligence is not just in the models, but in the ability to operate systems on a global scale. ...

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 ...

As artificial intelligence becomes part of corporate operations, a new priority is emerging behind the scenes at companies: ensuring that the data used by systems, intelligent agents and analytical platforms is trustworthy. In this scenario, so-called Data Contracts are beginning to gain relevance as a strategic governance layer capable of transforming data into predictable and scalable operational assets. Data Contracts are structured agreements that define how data should be produced, consumed and maintained within organizations ...