Three major AI announcements reveal where the industry is heading. CoreWeave is chasing profitability while managing $46.9 billion in debt. IBM and Microsoft are bringing 6,000 AI agents and assets into enterprise operations. Meanwhile, OpenAI is introducing business profiles to make ChatGPT a discovery platform. Each company is approaching AI from a different direction. One is building infrastructure. Another is automating work. The third is changing how customers discover businesses. Together, they reveal something important: AI is moving beyond technology into business economics, operations, and customer relationships.

In today’s post:

• OpenAI Wants ChatGPT to Become the Next Google

• IBM and Microsoft Just Made a Big Move in Enterprise AI

• CoreWeave’s $132.5 Billion AI Bet Comes With a Catch

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What’s Trending Today

GROWTH

OpenAI Is Turning ChatGPT Into a Place Where Customers Discover Businesses

OpenAI is making another big move beyond AI chatbots. The company has launched Business Hub, a new platform for businesses. It lets companies manage how they appear inside ChatGPT. Businesses can also deploy AI agents to answer customer questions. The bigger ambition is making ChatGPT a destination for discovering businesses.

Here's what you need to know:

• OpenAI has introduced Business Hub in beta. Businesses can create profiles and manage their information inside ChatGPT. The experience resembles Google's existing business profile features.

• Companies will be able to verify their business profiles. Verified businesses can update information about their products and services. OpenAI hasn't disclosed the complete verification process yet.

• Eligible businesses can launch their own AI agents. These agents will answer questions about companies and their products. Customers can interact with businesses directly through ChatGPT.

• Business Hub will also offer performance insights. Companies can track profile views, mentions, and website clicks. This introduces analytics similar to what businesses use on Google.

• OpenAI is changing its approach to online shopping. Its earlier attempt to enable purchases directly inside ChatGPT struggled. The company retired its commission-based checkout initiative in March 2026.

• The new strategy focuses on discovery rather than transactions. Instead of completing purchases, ChatGPT can help users explore businesses. That creates another potential way for companies to attract customers.

• Google's traditional discovery model faces a new challenge. People have historically searched Google to find and compare businesses. OpenAI wants ChatGPT to play a bigger role in those decisions.

The interesting part isn't that ChatGPT now has business profiles. It's what happens when people stop searching through websites. For years, businesses competed for attention on Google. They optimized pages, collected reviews, and bought search advertisements. Now, AI assistants are becoming another place where decisions begin. That could change how businesses compete for visibility. But there's an important distinction. Helping someone discover a product isn't the same as earning trust. OpenAI still needs to prove businesses and consumers value this experience.

PARTNERSHIP

IBM and Microsoft Want to Turn 6,000 AI Agents Into Real Business Value

IBM and Microsoft are taking their AI partnership further. The companies have introduced Imagine Enterprise, a new AI agent platform. It's designed to help businesses automate complex, industry-specific processes. And they're bringing more than 6,000 prebuilt AI agents and assets. The bigger ambition is moving AI from experiments into everyday operations.

Here's what you need to know:

• IBM and Microsoft have launched Imagine Enterprise. The platform helps businesses build, deploy, and manage AI agents. It focuses on turning AI capabilities into practical business operations.

• IBM brings more than 6,000 AI agents and assets. These come from its IBM Consulting Advantage platform. Businesses can adapt existing solutions instead of building everything from scratch.

• Microsoft provides the technology foundation. Azure, Microsoft Foundry, and Copilot Studio support AI deployment. Microsoft Fabric, Entra, and Purview help connect data and manage security.

• The platform works with existing enterprise systems. Companies don't need to replace their current technology infrastructure. Instead, AI agents can connect with existing workflows and business data.

• Regulated industries are an early priority. The initial focus includes financial services, insurance, and retail. IBM and Microsoft plan to expand into other industries.

• Both companies will provide engineering support. Their teams will help qualifying customers develop and deploy AI agents. The goal is to move beyond isolated experiments into production.

• Financial technology company SEI is already exploring these capabilities. SEI manages, advises, or administers approximately $2 trillion in assets. Its work with IBM and Microsoft focuses on improving operations and customer experiences.

Enterprise AI is entering a different phase. For years, companies have experimented with chatbots and productivity tools. Now, the focus is shifting toward AI that executes business processes. That's a much bigger opportunity. But also a harder problem. Building an AI agent is becoming easier. Making thousands of agents work reliably inside businesses is not. IBM brings industry expertise. Microsoft brings the technology infrastructure. Together, they want to close that gap. But success won't depend on how many agents they offer. It will depend on how much useful work those agents deliver.

RESEARCH

CoreWeave Is Growing 170%, But Profitability Is Still Two Years Away

CoreWeave is riding one of the biggest waves in AI. Demand for its computing infrastructure is growing faster than supply. Yet its shares have fallen over 40% in just one month. Investors aren't questioning the demand. They're questioning the economics. Now, CoreWeave says profitability could arrive in early 2028.

Here's what you need to know:

• CoreWeave expects adjusted profitability in the first half of 2028. The company believes strong customer commitments can support its expansion. But investors still face a long wait for returns.

• Its revenue backlog has reached $132.5 billion. That's up from $104 billion just three months earlier. The company says demand is ten times its available capacity.

• The company is carrying $46.9 billion in debt. Rising borrowing costs have made investors increasingly nervous. Its shares have fallen over 40% in the past month.

• Customers are helping finance the expansion. CoreWeave expects $9 billion in customer prepayments and deposits. Management says these commitments can reduce its need for expensive borrowing.

• Infrastructure spending continues to accelerate. Quarterly capital expenditure jumped to $14.5 billion from $9.4 billion. Annual spending is now expected to reach $37 billion to $39 billion.

• Revenue growth remains exceptionally strong. Third-quarter revenue surged nearly 170% to $3.66 billion. That beat Wall Street expectations of $3.55 billion. The company also narrowed its annual revenue outlook to $13 billion–$13.3 billion.

• Political scrutiny could slow data-center construction. Growing concerns around electricity and water consumption are attracting attention. Still, CoreWeave expects no material increase in construction costs.

CoreWeave shows why the AI boom is becoming complicated. Demand is growing. Revenue is accelerating. Customers are committing billions. But building the infrastructure requires enormous amounts of capital. And that creates a difficult question for investors. A $132.5 billion backlog shows what customers have promised. It doesn't tell us how much profit CoreWeave will keep. The next phase of AI won't be judged by demand alone. It will be judged by how efficiently companies monetize it.

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