Google, Fujifilm, and Tech Mahindra are making three different AI bets. Google is targeting students, Fujifilm is expanding chip materials, and Tech Mahindra is scaling enterprise deployments. Together, they show how AI demand is spreading across education, manufacturing, and business.

In today’s post:

• Google just made Gemini free for students

• Enterprise AI is finally leaving the lab

• AI’s next winners may look nothing like Nvidia

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PROFITS

Google wants AI to become part of studying itself

Google is giving eligible college students one free year. But the bigger story isn’t the discount. Gemini is becoming a complete learning system. It can organize, teach, test, research, and visualize. That could change how students actually study.

• U.S. students can get Google AI Pro free yearly.

• Eligible students elsewhere can receive Google AI Plus free.

• A new student hub combines Gemini’s learning tools together.

• Study notebooks turn class materials into personalized learning plans.

• Diagnostic quizzes identify gaps and generate targeted lessons.

• Interactive visualizations can explain concepts through 3D simulations.

• Gemini Live now brings Deep Research into voice conversations.

Giving students free AI looks like customer acquisition. But there’s something more interesting happening. Google wants Gemini embedded inside the learning process. Students upload notes, research topics, and practice concepts there. Eventually, AI stops feeling like another software tool. It becomes part of how people learn. That habit could matter long after graduation.

PARTNERSHIP

Tech Mahindra and ServiceNow want AI deployed at scale

Tech Mahindra is partnering with ServiceNow for multiple years. The goal is bigger than launching another AI pilot. They want enterprises running AI inside real workflows. That distinction matters. Because most companies still struggle moving beyond experiments.

• Tech Mahindra will combine implementation expertise with ServiceNow’s AI Platform.

• The partnership targets manufacturing, telecom, BFSI, media, and technology.

• Both companies will build industry-specific AI solutions and deployment playbooks.

• The focus is shifting from fragmented pilots toward measurable business outcomes.

• Tech Mahindra will create a dedicated AI innovation center.

• That center will accelerate deployment of ServiceNow AI capabilities.

• The partnership reflects growing demand for production-ready enterprise AI.

Enterprise AI has never lacked demonstrations. It has lacked reliable deployment. The harder work begins after the impressive prototype. Companies need integration, governance, workflows, and measurable returns. That is where partnerships like this become interesting. The next AI winners may solve deployment, not invention.

RESEARCH

The AI boom is moving deeper into the supply chain

Fujifilm is making a bigger bet on semiconductors. Not cameras. Not printers. Chipmaking materials. That tells us something important about AI demand. The opportunity is spreading far beyond chip designers. And some unlikely companies are benefiting.

• Fujifilm is expanding production of advanced semiconductor materials.

• Its new Japanese facility triples post-CMP cleaner production capacity.

• These cleaners remove residue after semiconductor wafers get polished.

• AI data centers are creating shortages across chip supply chains.

• That scarcity creates opportunities for specialized material suppliers.

• Fujifilm already has expertise needed for advanced chip manufacturing.

• The bigger story is how broadly AI spending now spreads.

AI investing is often framed around obvious winners. Nvidia. Cloud providers. Data-center operators. But every advanced chip requires hundreds of supporting processes. Each process creates another potential bottleneck. That means AI’s biggest opportunities may increasingly appear upstream. Sometimes, inside companies nobody considered AI companies.

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