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At the AI Summit, learning to love and fear the era of agents

27 Feb 2026
2 min

AI Tools and the Changing Landscape of Journalism

The emergence of AI assistant apps like OpenAI ChatGPT, Google Gemini, DeepSeek, Anthropic Claude, xAI Grok, and Microsoft Copilot has significantly impacted various professions, including journalism.

Challenges in Covering an International Summit

A reporter faced difficulties while covering the India AI Impact Summit in New Delhi due to logistical issues with simultaneous programming and inadequate video personnel, which hampered livestream capabilities. The reporter's tech-enabled plan to use cloud-based voice recognition for transcribing panel discussions was disrupted by:

  • Delayed livestreams making it hard to diarize transcripts.
  • Frequent changes to the summit's website affecting reference data.
  • Live mics interrupting automated transcription.

Adapting with AI Tools

Despite the challenges, AI tools like Claude were used to simplify tasks:

  • Developed an Android app to track updates from the Gazette of India.
  • Automated personal website updates, reducing time spent from half an hour to one minute.
  • Created a browser extension for automating story submission processes.

Concerns and Opportunities

There is a dual feeling of excitement and apprehension regarding AI capabilities. While AI can alleviate routine tasks, the broader implications include:

  • Potential displacement of traditional journalism skills.
  • Increased productivity and skill enhancement for AI-savvy individuals.
  • Cost implications of using advanced AI tools, as tokens for LLM inference remain expensive.

The current high costs of complex AI workflows provide a temporary cushion, but as these costs decrease, professionals will need to adapt swiftly to the advancing automation landscape.

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RELATED TERMS

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Gazette of India

The official gazette of the Government of India, published weekly by the Department of Publication, Ministry of Urban Development. It contains statutory orders, notifications, and other official announcements from the government.

LLM inference

The process of using a trained large language model (LLM) to generate outputs or predictions based on given inputs. It involves running the model to process prompts and produce responses, often consuming computational resources and incurring costs.

Anthropic Claude

A large language model developed by Anthropic, known for its focus on AI safety and helpfulness. It is employed for tasks such as content generation, summarization, and coding assistance.

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