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How to use ChatGPT as a personal AI research assistant

How to use ChatGPT as a personal AI research assistant

  • 16.03.2025 16:45
  • popsci.com
  • Keywords: AI, Research

ChatGPT now integrates Deep Research, enabling thorough web searches and presenting detailed reports. Access requires a paid subscription, but users can initiate research via the ChatGPT app across platforms by selecting the supported AI model and using prompts to guide the process.

Alphabet Reports

Estimated market influence

OpenAI

Positivesentiment_satisfied
Analyst rating: N/A

Developed the Deep Research feature in ChatGPT.

Google

Negativesentiment_dissatisfied
Analyst rating: N/A

Competitor with OpenAI's AI capabilities.

Context

Analysis and Summary: Using ChatGPT as a Personal AI Research Assistant

Business Insights and Market Implications

Key Features of Deep Research

  • Functionality: Enables thorough web searches, interpretation, and analysis of text, images, and PDFs.
  • Availability: Currently available only to paying ChatGPT users at a cost of $20 per month.

User Experience

  • Access: Available through ChatGPT's web, desktop, and mobile apps. Requires selecting an AI model that supports the feature.
  • Process: Users submit prompts (ranging from simple to complex questions). ChatGPT may request clarifications before starting research.
  • Execution Time: Research typically takes around 10 minutes, with progress tracked via a dialog box.

Output and Interaction

  • Report Format: Presented within the conversation, organized with subheadings, images, and tables. Includes embedded web links for fact-checking.
  • Feedback Mechanism: Users can provide feedback using thumbs up/down buttons.
  • Canvas Mode: Offers an interface for further collaboration and editing.

Competitive Landscape

  • Comparison to Google Gemini: Similar results but with differences in control over research specifics and source visibility.
  • Competitive Edge: ChatGPT's transparency in thought processes may enhance user trust, while Google's tool offers more control over sources.

Strategic Considerations

  • Market Expansion: Potential to expand Deep Research access beyond premium users to capture a broader market.
  • Partnerships: Opportunities with businesses and educational institutions could boost adoption.
  • Improvements Needed: Enhancing speed and accuracy will be crucial for maintaining user satisfaction.

Long-Term Effects

  • Industry Impact: May disrupt traditional research methods, influencing how industries approach data-driven decisions.
  • Workforce Changes: Could reduce reliance on traditional research roles while creating new opportunities in AI training and optimization.

Regulatory Considerations

  • Potential Regulations: Likely focus on ensuring accuracy, preventing misinformation, and addressing ethical concerns related to data sourcing.

Conclusion

The integration of Deep Research into ChatGPT represents a significant leap in AI capabilities, offering substantial benefits across industries. While OpenAI faces challenges such as pricing strategies, competition, and regulatory hurdles, the tool's potential to transform research practices positions it as a key player in the evolving AI landscape.