IBM is turning AI education into hands-on evidence

Broadcom, Lovable, and IBM all point to the same shift. AI is moving from hype into infrastructure, workflow, and skills. Broadcom shows how high investor expectations have become. Lovable shows how AI coding tools are scaling into enterprise platforms. IBM shows how students now need proof they can build with AI, not just talk about it. Together, these stories show AI becoming less of a trend and more of a working layer across business, software, and careers.

In today’s post:

• Lovable just got a bigger engine

• Broadcom’s AI story hit a speed bump

• IBM wants students building with AI

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PARTNERSHIP

Lovable expanded its Google Cloud partnership

Lovable’s Google Cloud deal shows how fast AI coding is becoming enterprise infrastructure. The deal could increase its cloud usage fivefold. That sounds like a backend detail. But it says much more. Lovable is not just scaling users. It is scaling trust, compute, and distribution. That is where AI startups start becoming platforms.

Here is everything you need to know:

• Lovable signed a multiyear Google Cloud deal that expands its cloud footprint and AI usage.

• The deal gives Lovable broader access to Anthropic’s Claude and Google’s Gemini models.

• Claude matters because it is widely used for coding tasks, especially in AI software tools.

• Lovable says it crossed $400 million in annualized revenue in February.

• More than half of Fortune 500 companies already use Lovable in some form, according to the company.

• Lovable’s agent will be available in Google Cloud’s enterprise agent marketplace.

• The Wiz integration should help companies find and fix code security issues in real time.

Lovable is becoming a useful signal for where AI software is heading. The winning tools will not just be clever demos. They will need cloud access, trusted models, enterprise billing, and security built in. That is what this deal is really about. Not just more usage. More legitimacy.

PROFITS

Broadcom’s numbers were strong, but expectations were stronger

Broadcom just reported another huge quarter. But the stock fell because investors wanted more. The company is still riding the AI wave. Revenue jumped 48% from last year. AI chip demand remains massive. But markets do not reward what already looks priced in. They reward the next surprise.

Here is everything you need to know:

• Broadcom reported $22.19 billion in revenue, slightly below Wall Street’s $22.27 billion estimate.

• Adjusted earnings came in at $2.44 per share, beating expectations of $2.40 per share.

• AI revenue more than doubled to $10.8 billion, driven by custom chips and networking parts.

• The problem was not weak AI demand. It was that CEO Hock Tan did not raise the $100 billion AI chip sales outlook.

• Investors have already pushed Broadcom shares up nearly 40% this year, so the margin for disappointment was thin.

• Software revenue from VMware and related businesses grew 9%, but missed analyst expectations.

• Broadcom also said it will focus on selling “chips only,” instead of complete AI systems.

Broadcom is still one of the clearest winners from AI infrastructure. But this report shows a harder truth. Great companies can still fall when expectations get too far ahead. The business did not break. The story just became more complicated. And that is usually where the real investing questions begin.

RESEARCH

IBM’s AI Builders Challenge turns AI literacy into proof of work

IBM launched a global AI Builders Challenge. It gives university students access to IBM Bob. That matters because AI skills are now expected. But many students still lack real practice. Reading about AI is not enough. Employers want evidence. IBM is trying to turn that gap into projects.

Here is everything you need to know:

• IBM is expanding free access to IBM Bob across 20,000 post-secondary institutions worldwide.

• The challenge gives students hands-on practice with AI-powered software development.

• Students will build around themes like creative industries, space exploration, and intelligent work systems.

• IBM Bob is designed to support more than code generation across the software development lifecycle.

• Participants can work alone or in teams and submit projects through GitHub.

• Winners will share a $15,000 prize pool, with $5,000 for the top project.

• The grand prize winner will be invited to IBM TechXchange, giving them broader industry visibility.

This is a smart move because AI education has a credibility problem. Everyone says students need AI skills. Fewer people give them serious ways to practice. A challenge like this creates something more useful than a certificate. It gives students a project, a story, and proof they can build.

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