Why should One learn AI ?

One should learn because, Microsoft is deep in the AI race right now — investing heavily, pushing into new product categories, expanding infrastructure, and building tools for both developers and end-users. Here’s a detailed snapshot of where Microsoft is on AI in late-2025, highlighting what they’ve achieved, what they’re working on, what challenges they face, and what it means for users/organizations

1.AI is Now the Core of Microsoft’s Strategy

Microsoft isn’t treating AI as an add-on — it’s embedded into everything:

Windows Copilot: AI built directly into the OS.

Microsoft 365 Copilot: Automates Office apps like Word, Excel, Outlook, and Teams.

Azure AI Services: Enterprise-grade infrastructure to build, deploy, and scale AI securely.

GitHub Copilot & Azure DevOps: AI-driven development and deployment.

Learning AI in Microsoft’s stack means you’re aligning with their long-term direction — it’s where every Microsoft product is headed.

2.Unified Ecosystem for Building & Deploying AI

When you learn Microsoft AI, you get exposure to a connected environment that simplifies the AI lifecycle:

Stage      Microsoft Tools/Platforms

Data Ingestion  Azure Data Factory, Synapse, Fabric

Model Training Azure Machine Learning, Custom Models, Azure AI Foundry

Orchestration    Azure AI Studio, Logic Apps, Power Automate

Deployment       Azure Kubernetes Service (AKS), Azure Functions

Integration          Power Platform, Copilot Studio, Microsoft Graph API

You can move from “idea -prototype - enterprise-scale app” without leaving the Microsoft ecosystem.

3.Enterprise-Grade Security & Compliance

Microsoft has the most trusted AI compliance posture among hyperscalers:

1000+ security and compliance certifications

Responsible AI framework (human oversight, privacy, transparency)

Seamless Azure AD / Entra ID integration for secure access

If you work with enterprise or gov customers, this is critical — they already rely on Microsoft’s compliance backbone.

4.Massive Career & Business Demand

According to recent LinkedIn and IDC reports:

80% of Fortune 500 companies use Azure AI services.

“AI + Microsoft Cloud” roles (like AI Engineer, M365 Copilot Admin, Azure AI Specialist) are growing 3x faster than traditional cloud roles.

Microsoft certifications (e.g., AI-102, DP-100, AI-900) are among the top-requested by employers.

Learning Microsoft AI directly translates to employability and consulting value.

5.Democratized AI — Even for Non-Coders

Not everyone needs to be a data scientist:

Copilot Studio (Power Platform) → Build custom copilots using natural language.

Azure AI Foundry → Build intelligent agents visually.

Fabric AI Integration → Analyze data and auto-generate insights in Power BI.

Microsoft’s goal is to make AI “as easy as Excel” — so business users can innovate too.

6.Future-Proof Skillset

Microsoft is working closely with OpenAI and others to lead in:

Agentic AI (autonomous reasoning agents)

Multimodal AI (text, image, voice)

Edge + Cloud AI (Windows + Azure hybrid AI)

Responsible AI governance tools

By learning Microsoft AI now, you’re future-proofing yourself for this next generation of AI-native applications.