Businesses

Travis Kalanick is moving closer to an industry he helped transform, but the bet is different this time: instead of relying on drivers connected to a platform, his new company could put artificial intelligence, robotics, and autonomous vehicles at the center of its strategy. After raising $1.7 billion, Atoms is beginning to reveal what it intends to do with that capital. Travis Kalanick returns to transportation nearly a decade after leaving Uber Travis Kalanick is once again moving closer to the transportation industry, this time through Atoms, a company being positioned around physical artificial intelligence, robotics, and automation. ...

Anthropic’s potential IPO has taken on new importance in the technology market. The company behind Claude is now expected to move forward with the offering in October, while investors are working with a potential valuation of up to $2 trillion. More than a financial transaction, the move could become one of the biggest public tests yet of the economic value assigned to artificial intelligence companies. Anthropic pushes back the timeline for its potential IPO Anthropic has delayed the progress of its potential IPO to October, according to the latest information surrounding the process. The company is now expected to begin marketing the offering to investors in the middle of the month, after an earlier schedule had pointed to a public stage of the process in September. ...

At first glance, the deal looks contradictory: Porsche is selling its technology consultancy for €320 million while simultaneously signing a €1.25 billion partnership with Tata Consultancy Services to expand the use of artificial intelligence. The move shows a strategy of separating ownership of technology capabilities from the need to control that structure directly. Porsche Sells MHP Without Walking Away From Technology What Porsche is selling Porsche has agreed to sell MHP Management- und IT-Beratung GmbH, its management and technology consultancy, to Tata Consultancy Services (TCS) for an enterprise value of €320 million. ...

An ongoing federal trial in California has put Meta, the owner of Instagram and Facebook, at the center of a legal battle involving 29 U.S. states, internal documents, former employee testimony and allegations that the company prioritized engagement and revenue while being aware of problems involving young users. Why Meta is facing the states in court The case brings together 29 U.S. states accusing Meta of developing features on Instagram and Facebook that could encourage compulsive use among children and teenagers. The states also allege that the company misled the public about platform safety and collected data from users under 13 without the required parental consent. ...

Prime Video is stepping up its bet on Latin America in a move that goes far beyond new shows. With more than US$ 2 billion planned through 2030, Amazon wants to expand local content, sports and distribution, putting Brazil at the center of an increasingly strategic battle for audiences. Amazon makes Latin America a priority for Prime Video The investment announced Amazon announced on August 20 that Prime Video will invest more than US$ 2 billion across Latin America between 2027 and 2030. The money will go toward original programming, locally produced or acquired content and live sports rights. ...

Greg Brockman has moved beyond a role primarily associated with engineering and is gaining greater influence over OpenAI’s core decisions. The shift comes as the company deals with executive departures, expands its commercial operations and seeks to turn its scale into a sustainable competitive advantage against rivals such as Anthropic and Google. OpenAI is giving Brockman a larger role in key decisions OpenAI is going through one of the biggest leadership reorganizations in its recent history. The company has lost senior executives across several areas while also redistributing strategic responsibilities within the organization. ...

Brazil is treating computing capacity for artificial intelligence as strategic infrastructure. The R$2.3 billion investment in two supercomputing projects puts the country at a crossroads that goes beyond buying machines: building domestic capacity without becoming locked into a single technology path. Brazil turns computing capacity into an AI priority Brazil has announced approximately R$2.3 billion to expand its artificial intelligence infrastructure through two supercomputing projects. The strategy involves technology suppliers from the United States and China and is intended to increase Brazil’s ability to develop AI technologies. ...

Alibaba is accepting significant pressure on near-term profit to accelerate its artificial intelligence infrastructure. The strategy led by Eddie Wu shows how the AI race is forcing major technology companies to trade some immediate profitability for computing capacity and future growth. Alibaba’s profit plunged as AI took center stage Alibaba reported a 75% year-over-year decline in net profit for the quarter ended June 2026. Net income fell to roughly 10.5 billion yuan, compared with 43.1 billion yuan during the same period a year earlier. ...

The artificial intelligence race is creating a competition that goes far beyond models such as Gemini, ChatGPT and Claude. As companies increase their AI investments, they also have to decide who will provide the infrastructure needed to process that demand. Google’s new agreement with Marvell shows how this competition is reaching the core of the chip supply chain. Google expands its strategy to control AI infrastructure A deal that goes beyond a supplier relationship Google has reached an agreement with Marvell Technology to expand the development of custom chips for artificial intelligence infrastructure. The partnership puts a semiconductor specialist at the center of Google’s strategy to expand its computing capacity. ...

Robin Vince, CEO of BNY, is defending a view of artificial intelligence that goes beyond simply reducing costs. For him, one of the most important gains may be the capacity technology frees up for people and companies to do more, develop new products and increase the value delivered to customers. Who Is Robin Vince and Which Bank Does He Lead From Goldman Sachs to BNY Robin Vince is chairman and CEO of BNY, one of the largest financial institutions in the United States. He became the bank’s chief executive in 2022 after building a long career at Goldman Sachs, where he held leadership positions across risk management, operations, treasury and international businesses. ...

Technology companies are facing a shift that goes beyond adopting artificial intelligence tools: the way productivity, growth, and economic value are measured is also being reshaped by the technology. AI Is Changing What It Means to Be an Efficient Technology Company AI is beginning to change the relationship between growth, human labor, and revenue across the technology industry. The effect is particularly relevant for services companies, where workforce size and billable hours have historically helped represent a company’s revenue-generating capacity. ...

While many companies are still discussing how to adopt Artificial Intelligence, more advanced organizations are already entering a new phase: structured AI acceleration programs. In 2026, competitive advantage is no longer determined solely by technology itself, but by the speed of implementation. In this environment, initiatives that combine strategy, governance, training, and execution are emerging as powerful tools for turning AI into a real operational advantage. What Are AI Acceleration Programs for Businesses? Artificial Intelligence acceleration programs are structured initiatives designed to help companies identify opportunities, validate use cases, and scale AI projects with lower risk and greater speed. ...

While many companies still rely on spreadsheets, static contact lists, and manual prospecting processes, a new generation of Artificial Intelligence-powered tools is transforming how business opportunities are discovered, qualified, and converted. This shift is more than a technological upgrade. It represents a structural change in how sales organizations operate, compete, and grow. Lead generation has always been one of the most critical activities in the B2B market. Without a consistent flow of new opportunities entering the sales pipeline, growth becomes limited and unpredictable. ...

Over the past few years, artificial intelligence has evolved from a corporate experiment into a strategic priority. Rather than simply adding AI tools to existing processes, leading organizations have started reorganizing their operations around this technology. This shift gave rise to the concept of AI First, an approach that could redefine productivity, innovation, and competitiveness throughout the next decade. What Is AI First? AI First is a business strategy that places Artificial Intelligence at the center of decision-making, internal processes, and product development. ...

For years, digital transformation was associated with software adoption, cloud infrastructure, and process automation. With the rise of generative artificial intelligence, a new reality is emerging. Competitive advantage no longer comes solely from having access to the best tools. It comes from people’s ability to use those technologies strategically. In this context, AI Fluency is becoming one of the most important capabilities of the next decade. AI Fluency is the ability to work with artificial intelligence strategically ...

During the early years of generative artificial intelligence, many organizations experimented with isolated tools without a clear long-term strategy. Today, a new trend is gaining momentum: the creation of permanent structures dedicated to AI management, expansion, and governance. In this environment, AI Centers of Excellence are emerging as one of the most important corporate approaches for turning experimental initiatives into strategic business capabilities. An AI Center of Excellence is a structure designed to coordinate and accelerate artificial intelligence adoption across the organization ...

For years, artificial intelligence was viewed primarily as a technological bet. Today, it is increasingly being treated as an asset class. OpenAI’s move toward public markets suggests that the battle for AI leadership has entered a new phase, one in which infrastructure, revenue, and financial scale are becoming just as important as technical innovation. OpenAI’s IPO Filing Represents a Structural Shift in the AI Market ...

For years, companies have invested millions in marketing teams, media buyers, designers, and agencies to plan, execute, and optimize digital campaigns. Now, Meta wants to simplify that process using artificial intelligence. The strategy led by Mark Zuckerberg aims to allow advertisers to provide only their objectives and budget while intelligent systems take over tasks that previously required entire teams. The move could represent one of the biggest transformations in the advertising industry since the rise of social media. ...

For decades, the software industry has been built around applications, graphical interfaces, and traditional operating systems. Now, a new initiative led by Microsoft suggests that the next major computing platform could be powered by AI agents capable of executing tasks, accessing enterprise systems, and interacting with users without relying on the traditional application model. The announcement of Project Solara represents far more than a new product—it provides a tangible glimpse into how enterprise computing may evolve over the coming years. ...

During the last two years, much of the market’s attention has been focused on companies such as OpenAI, Google, Microsoft, Anthropic and Nvidia. However, a less visible movement has begun to redesign the behind-the-scenes of artificial intelligence. The rise of Oracle Cloud Infrastructure (OCI) and billion-dollar investments in computing capacity have placed Oracle once again among the protagonists of global technological transformation. Oracle is becoming one of the leading providers of artificial intelligence infrastructure ...

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 ...

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. ...

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 ...

For years, companies have made strategic decisions based on historical reports, spreadsheets and limited projections. Now, the combination of enterprise data, cloud computing and artificial intelligence is creating a new operational layer: digital environments capable of simulating entire businesses before any changes happen in the real world. The so-called AI Digital Twins are starting to become one of the most strategic assets in corporate digital transformation. AI Digital Twins are digital replicas that allow you to test decisions before actual execution ...

The advancement of artificial intelligence is no longer just a race for more powerful models. Now, the dispute involves who will control the next interface between people, companies and technology. In this scenario, Sundar Pichai has been positioning Google for a transformation that could profoundly change the way businesses operate, sell and relate to customers in the digital economy. Sundar Pichai’s strategy goes beyond AI models ...

The race for corporate artificial intelligence is creating a new silent dispute in the global market: who controls the computing infrastructure that supports AI systems. At the center of this movement is NVIDIA, a company led by Jensen Huang, which has gone from being just a chip manufacturer to becoming a strategic part of the new digital economy. NVIDIA is transforming itself into the operational infrastructure of enterprise artificial intelligence NVIDIA’s strategy has changed profoundly in recent years. The company no longer operates solely as a supplier of GPUs for games or graphics processing. The focus now is on building the computational foundation that underpins autonomous agents, corporate co-pilots, generative systems, and AI-powered business operations. ...

The corporate artificial intelligence market is entering a new phase. After the initial race for chatbots and copilots, technology giants are now competing for something much bigger: transforming AI into companies’ operational infrastructure. At the center of this movement is Sam Altman, CEO of OpenAI, who has been accelerating a strategy capable of redefining how enterprise software works, how employees work and how business decisions will be made in the coming years. ...

During the last two years, the corporate market has experienced an accelerated race to adopt artificial intelligence. But in 2026, the logic begins to change. Companies have realized that simply hiring AI tools does not guarantee productivity, competitive advantage or real transformation. The new priority now is to measure the so-called AI Readiness — the level of operational, structural and strategic preparation necessary to transform AI into a sustainable result. ...

While many companies are still trying to understand how to use artificial intelligence in a practical way, Microsoft is already starting to treat autonomous agents as the next operational layer of the corporate market. In recent days, statements and movements led by Satya Nadella have reinforced an important signal for the B2B sector: the AI dispute is no longer just about generative models and has started to revolve around platforms capable of performing real work within companies. ...

For years, companies purchased separate software for CRM, customer service, analytics, productivity, marketing and operations. Now, a new enterprise architecture is quietly beginning to emerge: AI operating systems capable of integrating context, memory, automation and decision-making within a single intelligent layer. The movement already mobilizes giants such as Microsoft, OpenAI, Google, Salesforce and Oracle, while the B2B market accelerates a race to transform artificial intelligence into the operational core of companies. ...

For years, companies have accumulated documents, presentations, meetings, processes and information spread across different platforms, teams and software. Now, the rise of generative AI is transforming this invisible chaos into a new strategic asset: intelligent corporate memory. In 2026, organizations begin to realize that the competitive advantage is not just in adopting AI, but in teaching systems to understand, connect and reuse internal knowledge with operational context. The birth of “intelligent corporate memory” ...

While large corporations compete for space in the artificial intelligence race, small companies have discovered a silent movement that could redefine competitiveness in the coming years: using AI tools to operate with more speed, less cost and greater commercial efficiency. The advancement of accessible platforms is transforming local businesses, e-commerces, agencies and B2B operations into highly automated structures — even without in-house technical teams. The new generation of AI tools is no longer exclusive to large companies ...

While the corporate race for artificial intelligence accelerates at a record pace, a silent phenomenon is beginning to gain strength within companies: employees using AI tools without formal authorization from the company. The movement, known globally as Shadow AI, is already beginning to change governance, digital security and operational management strategies in large organizations. The problem is no longer just technological. In 2026, the expansion of generative AI within companies created a new layer of invisible risk, involving data leaks, unsupervised automated decisions and increasing dependence on external platforms. ...

The advancement of corporate artificial intelligence is entering a new silent phase, but potentially much more disruptive than simple task automation. After accelerating service, marketing, productivity and software development, large companies are now beginning to explore autonomous agents capable of analyzing suppliers, comparing proposals, negotiating prices and even recommending strategic decisions in B2B contracts. The movement could profoundly change the functioning of the corporate market in the coming years. Companies start using AI agents to shorten the corporate negotiation cycle ...

For years, dashboards dominated the corporate universe as the main data analysis tool. Now, a new transformation driven by generative AI is beginning to profoundly change this scenario. Instead of manually navigating through complex charts, filters and reports, companies are switching to analytical co-pilots capable of interpreting information, answering strategic questions and even suggesting decisions in real time. The end of the era of static dashboards ...

During the last two years, the corporate race to adopt Artificial Intelligence has created a perception of almost absolute urgency within companies. The problem is that many organizations started to implement AI tools even before organizing internal processes, operational flows and governance structures. The result is now beginning to appear behind the scenes: increased costs, rework, data fragmentation and a silent drop in productivity. The new invisible crisis of corporate AI ...

The accelerated growth of autonomous agents is creating a new silent transformation within companies. After the initial rush to adopt artificial intelligence, organizations are beginning to realize that the real challenge now is not just implementing AI — but coordinating, supervising and controlling entire operations carried out by intelligent agents. This movement begins to drive the emergence of a new professional layer: AI Operations specialists. Companies are beginning to realize that autonomous agents need operational oversight ...

For years, social platforms and search engines dominated digital distribution. Companies have grown dependent on algorithms, paid media and organic reach to gain an audience. Now, the rise of generative artificial intelligence, AI Overviews and the progressive decline in traditional traffic is beginning to bring about a structural change in the digital market: the reconstruction of its own audience. In this new scenario, newsletters return to the center of companies’ strategy and become increasingly valuable assets for retention, distribution and conversion. ...

Interest in artificial intelligence continues to grow rapidly in Brazil, but the practical implementation of the technology is still far from the reality of most companies. While executives accelerate investments, training and internal testing, many Brazilian operations still face difficulties in integrating AI in a structured way into their business. Brazilian companies want to use AI but still face obstacles Interest grew faster than implementation capacity ...

The advancement of corporate artificial intelligence has just produced one of the most important movements in the Brazilian technology ecosystem. The national startup Enter, specialized in legal automation with AI, reached a billion-dollar valuation after raising around R$500 million, consolidating a new moment for Brazilian companies focused on specialized artificial intelligence. The Brazilian AI startup that automates legal processes and has just reached a billion-dollar valuation The global race for artificial intelligence is no longer just a dispute between Silicon Valley giants. Now, companies specialized in solving specific problems of large corporations are beginning to dominate the market — and Brazil has just gained a new protagonist in this scenario. ...

Artificial intelligence giants are changing their strategy. After dominating the race for models, now the focus has changed: getting into the actual operation of companies. And this movement could drastically accelerate the adoption of AI in the Brazilian corporate market. OpenAI and Anthropic expand dispute for practical implementation of AI in companies. The AI war has changed phase Over the past few years, the dispute between companies like OpenAI and Anthropic has revolved around building increasingly advanced models. ...

The enterprise artificial intelligence market is entering a new phase of consolidation. Cognizant’s acquisition of Astreya, in a deal valued at approximately $600 million, shows that the race for enterprise AI is no longer just about models — it’s now about infrastructure, scale, and actual operations. Cognizant’s move reinforces accelerated consolidation of the AI infrastructure sector. Enterprise AI Consolidation Has Begun Tech giants accelerate acquisitions to strengthen artificial intelligence infrastructure. ...

For years, B2B prospecting was supported by SDR (Sales Development Representative) teams, manual processes and cold lists. Now, this is changing fast. With the advancement of artificial intelligence, companies are automating critical steps in demand generation and creating more efficient, predictable and scalable commercial funnels. The traditional prospecting model is losing efficiency Companies are replacing manual processes with intelligent prospecting systems. The old logic was simple: create lists make manual contact track responses qualify interest But this model has limitations. ...

The market has entered a new phase: artificial intelligence is no longer a differentiator and has started to become a competitive requirement for companies that want to grow and maintain relevance. Artificial intelligence is no longer optional For a long time, artificial intelligence was treated as an innovation of the future. Something distant. Something experimental. Something restricted to large companies. But that has changed. Today, AI is already part of the operation of businesses of different sizes. ...

The use of artificial intelligence in marketing and sales is no longer a trend and has become part of the real operation of companies that want to grow faster and sell better. Artificial intelligence has entered marketing for good For years, digital marketing was based on trial and error. Create campaigns. Test audiences. Analyze metrics. Adjust strategies. Now that has changed. Artificial intelligence has started to speed up this entire process. ...

Creating an online store used to require staff, time and technical knowledge. Now, with artificial intelligence integrated into operations, smaller companies are able to reduce costs, speed up processes and compete with larger structures. Artificial intelligence is no longer just a support tool and has started to take on central roles within digital commerce. Shopify’s new move reinforces this scenario: the platform is accelerating the integration of AI for creating stores, campaigns, product descriptions and operational automation. ...

Brazil has access to more marketing tools than ever before. More platforms, more automation, more artificial intelligence. And even so, most companies fail to reach their own goals. The problem is not a lack of resources. It’s a lack of method. This is the direct diagnosis of one of the largest Brazilian studies on the subject. And it changes the conversation about what really matters in digital marketing in 2026. ...

The relationship between Microsoft and OpenAI has entered a new phase, and this matters much more for companies than it seems. The change in the agreement between the giants signals something bigger: corporate artificial intelligence is ceasing to be a closed ecosystem and entering a more open, flexible and strategic logic. For Brazilian companies, this changes cost, infrastructure, technological dependence and adaptability. The end of exclusivity changes the game for enterprise AI ...

Idle money is a problem that many companies only notice when cash gets tight. The sale takes place, the service is delivered, the invoice is issued… but payment is delayed. And when delays accumulate, the impact goes beyond financial: it affects planning, operations and growth. That’s why companies are starting to use artificial intelligence to transform an old, exhausting process into something more efficient. Platforms like Neofin are helping businesses automate billing, speed up negotiations and recover revenue without having to expand their team. ...