AI Agents Are Going Mainstream: OpenAI, Google, and India's Krutrim Are Shaping the Future of Autonomous Work
Global tech leaders like OpenAI, Google, Microsoft, Amazon, and India's Krutrim are racing to roll out AI agents that go far beyond chat—tackling complex tasks, making decisions, and transforming productivity.
The age of autonomous AI agents has officially begun. As highlighted in The Indian Express, global tech leaders like OpenAI, Google, Microsoft, and Amazon, alongside Indian innovator Krutrim, are racing to roll out AI agents that go far beyond chat—tackling complex tasks, making decisions, and transforming productivity in real-world use cases.
These agents don’t just talk—they act. From refactoring code to ordering food or booking travel, they’re rapidly becoming indispensable digital teammates.
What Makes AI Agents Different?
While traditional chatbots simply respond to user input, AI agents are designed to think, plan, and execute. Powered by large language models (LLMs), these agents can:
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Understand nuanced commands
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Handle multi-step workflows
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Make autonomous decisions with minimal human input
“AI agents are redefining workplace automation—they interpret goals and carry out actions while users supervise.” – The Indian Express
Who’s Building What?
| Company | AI Agent Project | Core Capability |
|---|---|---|
| OpenAI | Codex CLI & Operator | Automates coding tasks and browser-based workflows using LLMs. |
| Project Astra & Mariner | Mariner uses Gemini 2.0 to navigate websites; Astra offers real-time multimodal AI assistance. | |
| Microsoft | Productivity-focused agents | Embeds AI in Office apps for smarter email, document, and spreadsheet handling. |
| Amazon | AI-enhanced robotics | Investing in autonomous capabilities for warehouse and retail logistics. |
| Krutrim (India) | Kruti App | India’s first agentic AI assistant—handles daily tasks like booking rides and ordering food. |
Read the full story on The Indian Express
Where AI Agents Are Already Making a Difference
A recent EY survey cited in the article shows:
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48% of U.S. tech leaders have already implemented AI agents
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50% expect most AI work to be autonomous within the next two years
Real-World Applications on the Rise:
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Customer Support: AI agents are predicted to handle 80%+ of routine service queries within 4 years.
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Software Development: Tools like Cursor and Codex CLI assist with debugging, patching, and auto-testing code.
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Business Operations: From filing invoices to managing calendars and booking travel—agents are boosting back-office efficiency.
What Are the Challenges?
As promising as AI agents are, they aren’t without risks:
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Hallucinations: LLMs can still misinterpret or fabricate results
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High operational costs: Enterprise-grade agents may require up to $20,000/month to run
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Security risks: A compromised agent has access to the same permissions as the user—raising stakes for cybersecurity
Final Take: The Shift Is On
AI agents are no longer theoretical—they’re being deployed, tested, and trusted with real responsibilities. Whether it’s OpenAI’s Codex CLI, Google’s web-savvy Mariner, or India’s Krutrim-powered Kruti, autonomous software is transforming how we work.
The only question left for businesses is:
How fast can you integrate AI agents into your workflow—and what will your team do once the busywork is gone?