This week, OpenAI launched its Deep Research feature which can synthesize content from across the web into one detailed report in minutes leveraging a version of the company’s latest model, o3.
This feature is a powerful tool for workers, as it can save them hours by completing research autonomously. But can the technology’s underlying model replace workers? Yes, suggests Deep Research.
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Min Choi, an X user whose account is dedicated to sharing informational AI content, asked Deep Research to “List 20 jobs that OpenAI o3 reasoning model will replace human with into a table format ordered by probability. Columns are Rank, Job, Why Better Than Human, Probability.” Choi then shared the results of the chat via an X post, which has since garnered 984,000 views:
After deep diving into 24 sources in seven minutes, the X post shows that Deep Research produced a table that included job titles, explanations as to why an AI is better than a human at the role, and the probability that the job will be replaced. Choi shared a link to the entirety of its interaction, which you find here to see the table in detail.
What jobs will AI replace, according to ChatGPT?
Right in time with tax return season, leading the table was the role of “tax preparer” with a probability of 98% replacement, which ChatGPT deemed as “near-certain automation”.
ChatGPT explained that AI would be better at the task because it can quickly process tax rules and calculations, which would make it faster than a human. To support its argument, ChatGPT highlighted that AI-driven tax software already exists.
The rest of the professions cited on the list included in order were: data entry clerk, telemarketer, bookkeeper, paralegal, appointment scheduler, virtual assistant, transcriptionist, proofreader, copywriter, customer service representative, email marketer, content marketer, social media manager, translator, technical support analyst, recruiter, market research analyst, travel agent, and tutor.
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All of the jobs that ChatGPT suggested have an underlying theme in common: the role mostly relies on a technical skill that AI can do well autonomously. For example, AI can transcribe, translate, and proofread effectively, making the need for humans to perform these job’s hard skills less imperative.
Another thing AI can do well is analyze a robust amount of materials, draw conclusions, and even perform actions based on its own analysis. Therefore, roles with that process at the center of their responsibilities, such as social media manager, recruiter, travel agent, market research analyst, appointment scheduler, bookkeeper, and paralegal, are deemed more in danger.
Are you doomed?
Does this research mean everyone in these fields is going to lose their job? No, this outcome is highly unlikely. The analysis by ChatGPT only accounts for AI’s ability to perform the hard skills effectively. However, soft skills, including communication, critical thinking, conflict resolution, leadership, time management, and interpersonal skills, are equally as important to success — and AI can’t replicate those capabilities.
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Furthermore, organizations are not yet ready to widely adopt AI. For example, a recent Accenture report showed that there are still many obstacles preventing business leaders from widespread implementation of AI in organizations, such as lack of clarity on return on investment, infrastructure limitations, and disconnection from employees.
How to try Deep Research yourself
If you want to ask Deep Research a similar question or dive deep into another topic, you will need to get a $200-per-month ChatGPT Pro subscription. Although the price is steep, the subscription includes other perks, such as unlimited access to ChatGPT and Sora, and access to Operator, its AI agent feature that can carry out basic browser-based tasks, like reservations.
There are also some lower-cost alternatives, such as Google’s Deep Research feature, which is available to all Gemini Advanced users through the Google One AI Premium plan that costs $20 per month, or Hugging Face’s newly released equivalent, also called Deep Research, which is free to demo.
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