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Deep Research Explained - AI's Most Useful Feature
Episode Show Notes:
Your AI Isn't Just a Smart Friend—It's (Potentially) Your New Research Analyst
>> Subscribe to our newsletter see Danny walk through his Adidas & Arsenal example through Gemini aimoment.co.uk
Is your business tapping into the full potential of its AI tools?
In this episode, Jonathan and Danny dive into the game-changing "deep research" feature available in platforms like Gemini, Claude, and ChatGPT.
They argue that business leaders need to stop seeing AI as just a smart, knowledgeable friend and start treating it as a dedicated, highly trained research analyst.
This powerful function transforms the AI into a specialist capable of producing in-depth, consulting-level reports on complex topics. Unlike standard queries, deep research performs extended reasoning to generate substantial, transparent, and fully-cited documents that can save your business significant time and money.
Danny shares a compelling example of how he used the feature to analyse the intricate $75 million Adidas and Arsenal sponsorship deal in just 10 minutes—a task that would have previously taken days. This capability is a direct disruptor to the consulting industry, where similar reports could cost thousands of pounds.
Despite its power, adoption is shockingly low, with fewer than 10% of users taking advantage of it.
The episode concluded with a strong call to action for executives to start experimenting with this feature immediately to gain a competitive edge.
Key Takeaways
- AI as a Research Analyst: Elevate your view of AI from a smart assistant to an expert research analyst for complex, technical questions.
- In-Depth, Transparent Outputs: Expect substantial, fully-cited reports (sometimes 40+ pages), not just quick answers.
- Ideal Use Cases: Perfect for detailed market analysis, pro-and-con evaluations, and synthesizing complex information.
- A Potential Disruptor: This technology poses a genuine threat to the consulting industry by automating high-value research tasks.
- A Call to Experiment: With low adoption rates, there is a massive opportunity for leaders to gain an advantage by using this feature now.
Top Quotes From This Episode
- "If AI is your smart, knowledgeable friend, you can regard deep research as your really highly trained research analyst also in the room with you." - Jonathan Wagstaffe
- "What I would say is it did was something that would've probably taken me a number of days before it pulled it together within, you know, a matter of minutes, really." - Danny Denhard
- "This is a threat to the world of consulting because the sort of thing you might have paid a consultant five or 10,000 pounds for a couple of years ago, you can now do yourself in sort of less than an hour." - Jonathan Wagstaffe
Tools Mentioned
- ChatGPT
- Gemini
- Claude
- NotebookLM
View all episodes
By Danny DenhardEpisode Show Notes:
Your AI Isn't Just a Smart Friend—It's (Potentially) Your New Research Analyst
>> Subscribe to our newsletter see Danny walk through his Adidas & Arsenal example through Gemini aimoment.co.uk
Is your business tapping into the full potential of its AI tools?
In this episode, Jonathan and Danny dive into the game-changing "deep research" feature available in platforms like Gemini, Claude, and ChatGPT.
They argue that business leaders need to stop seeing AI as just a smart, knowledgeable friend and start treating it as a dedicated, highly trained research analyst.
This powerful function transforms the AI into a specialist capable of producing in-depth, consulting-level reports on complex topics. Unlike standard queries, deep research performs extended reasoning to generate substantial, transparent, and fully-cited documents that can save your business significant time and money.
Danny shares a compelling example of how he used the feature to analyse the intricate $75 million Adidas and Arsenal sponsorship deal in just 10 minutes—a task that would have previously taken days. This capability is a direct disruptor to the consulting industry, where similar reports could cost thousands of pounds.
Despite its power, adoption is shockingly low, with fewer than 10% of users taking advantage of it.
The episode concluded with a strong call to action for executives to start experimenting with this feature immediately to gain a competitive edge.
Key Takeaways
- AI as a Research Analyst: Elevate your view of AI from a smart assistant to an expert research analyst for complex, technical questions.
- In-Depth, Transparent Outputs: Expect substantial, fully-cited reports (sometimes 40+ pages), not just quick answers.
- Ideal Use Cases: Perfect for detailed market analysis, pro-and-con evaluations, and synthesizing complex information.
- A Potential Disruptor: This technology poses a genuine threat to the consulting industry by automating high-value research tasks.
- A Call to Experiment: With low adoption rates, there is a massive opportunity for leaders to gain an advantage by using this feature now.
Top Quotes From This Episode
- "If AI is your smart, knowledgeable friend, you can regard deep research as your really highly trained research analyst also in the room with you." - Jonathan Wagstaffe
- "What I would say is it did was something that would've probably taken me a number of days before it pulled it together within, you know, a matter of minutes, really." - Danny Denhard
- "This is a threat to the world of consulting because the sort of thing you might have paid a consultant five or 10,000 pounds for a couple of years ago, you can now do yourself in sort of less than an hour." - Jonathan Wagstaffe
Tools Mentioned
- ChatGPT
- Gemini
- Claude
- NotebookLM