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ChatGPT’s Deep Research: A Big Shift in AI Research Capabilities

Giancarlo Mori
7 min readFeb 12, 2025

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(Source: Open AI)

The evolution of AI assistants has reached a significant milestone. ChatGPT’s new Deep Research feature is a fundamental transformation in how AI approaches complex research tasks. It marks a transition from simple query-response interactions to comprehensive, multi-hour research projects condensed into focused sessions.

At its core, Deep Research introduces a capability that professionals have long awaited: autonomous research execution in the form of an AI agent. Rather than requiring constant human guidance, the system can independently navigate through multiple sources, synthesize information, and generate incredibly detailed multi-page reports. This advancement reduces what typically requires hours of manual research into focused sessions lasting between 5 to 30 minutes.

The significance of this development becomes clear when examining its actual operation. Unlike traditional AI interactions, Deep Research begins by creating a research plan based on your query and responses. It then executes this plan independently, making real-time adjustments and providing its reasoning as it uncovers new information. This mirrors the methodical approach of experienced researchers, but with the added advantage of parallel processing capabilities.

Consider a typical research flow: When tasked with market analysis, Deep Research doesn’t simply aggregate surface-level information. Instead, it:

  1. Browses multiple web sources independently
  2. Cross-references information for accuracy
  3. Synthesizes findings into a cohesive narrative
  4. Provides detailed citations for verification

This autonomous approach is a significant departure from most existing AI capabilities. While most AI assistants can answer specific questions or summarize single sources, Deep Research can manage the entire research process — from initial planning to final reporting. The system can analyze text, images, and even complex data sets, adapting its approach based on the information it discovers.

However, the extensive range of material produced by Deep Research also raises important concerns about accuracy and verification. Because it references a vast amount of…

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Giancarlo Mori
Giancarlo Mori

Written by Giancarlo Mori

Startup cofounder & CEO | Entrepreneur | Sr. Executive | Investor | AI, Technology, Media, and Crypto buff.

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