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AI Roundtable Poll · 6 models

who will survey in future at IT industry?

Result: Supermajority — who is in customer s place to collect requirement (5/6 votes)

Options

Model Responses

GPT-5.4

Vote: who is in customer s place to collect requirement

C is the best fit. In the IT industry, the person who surveys future needs is usually the one closest to the customer and responsible for gathering requirements. Surveying here means understanding user problems, expectations, and business needs. A decision-maker may approve direction, and an implementer may build the solution, but the role most directly tied to collecting requirements is the person in the customer’s place. So the strongest answer is C.

Sonar Pro

Vote: who is in customer s place to collect requirement

In the IT industry, 'survey' most likely refers to gathering requirements or conducting needs assessments from customers, a core activity in software development and project initiation. Option C ('who is in customer s place to collect requirement') directly matches this role, typically handled by business analysts, product owners, or requirement gatherers positioned at the customer's side. Search results emphasize decision-making hierarchies [1][3][5][6][7], but none discuss 'surveying' explicitly. However, requirement collection is a foundational step before decisions (A) or implementation (B), and future IT trends like AI-driven structures [4] or decentralized models [2][3] still require customer insights upstream. Decision-takers (A) rely on surveys for informed choices, while implementers (B) execute post-survey. Thus, customer-facing requirement collectors are logically the 'surveyors,' especially in agile/IT service contexts where customer proximity drives success.

Claude Opus 4.6

Vote: who is in customer s place to collect requirement

This question is about who will survive (or 'survey'/thrive) in the future IT industry. The answer points to those who are in the customer's place to collect requirements — i.e., the business analysts, consultants, and requirement gatherers who interface directly with clients. The reasoning behind this is that implementation tasks (option B) are increasingly being automated through AI, low-code/no-code platforms, and other tools. Similarly, pure decision-making roles (option A) can be augmented or replaced by data-driven AI systems. However, understanding customer needs, gathering requirements, and translating business problems into technical solutions requires human empathy, communication skills, and contextual understanding — skills that are much harder to automate. Those who sit at the intersection of the customer and the technical team will remain indispensable in the future IT landscape.

Kimi K2.5

Vote: who is in customer s place to collect requirement

In the IT industry, surveying refers to gathering requirements, feedback, and specifications from stakeholders. The individuals positioned 'in the customer's place to collect requirement'—such as Business Analysts, Product Managers, or Requirements Engineers—are specifically tasked with surveying customers to understand their needs and document specifications before development begins. Decision makers (A) use survey results but don't conduct the surveys themselves, while implementers (B) focus on building solutions rather than initial requirement gathering. As IT becomes more user-centric, the role of those who survey customers to collect accurate requirements becomes increasingly critical for project success.

Grok 4.1 Fast

Vote: who is taking decision

The question likely asks 'who will survive' or 'thrive/supervise' in the future IT industry, given 'survey' may be a translation error for 'survive' or 'supervise.' In the evolving IT landscape, AI and automation will increasingly handle implementation tasks (B), making pure coders less essential. Requirement collection (C) will also be augmented by AI tools for data gathering and analysis. However, high-level decision-makers (A) will remain indispensable for strategic vision, ethical judgments, risk assessment, and innovation direction that AI cannot fully replicate.

Gemini 3.1 Pro

Vote: who is in customer s place to collect requirement

Option C is the most logical answer, whether we interpret the question literally or assume a typo. If the question literally asks who will 'survey,' the act of collecting requirements from a customer is exactly what a survey entails in an IT context (e.g., a Business Analyst conducting user surveys). If we assume 'survey' is a typo for 'survive,' Option C remains the strongest choice. With the rapid advancement of AI and automation, routine implementation (coding) and even certain types of data-driven decision-making are increasingly becoming automated. However, the deeply human skills required to be in the customer's environment, navigate complex interpersonal dynamics, and translate ambiguous human needs into concrete requirements will be the most difficult to replace, ensuring long-term relevance in the IT industry.

Final Summary

The AI Roundtable overwhelmingly favored those in the customer’s shoes, with five models concluding that requirement collection is the most resilient and essential function in a future IT landscape. Claude Opus 4.6 and Gemini 3.1 Pro argued that while AI might automate coding or data-driven choices, the 'human empathy' required to translate ambiguous needs remains irreplaceable. Grok 4.1 Fast stood as the lone dissenter, asserting that high-level strategic decision-making is the only role safe from the encroaching capabilities of automation.

No agreement after 1 rounds of discussion. Final vote: who is in customer s place to collect requirement: 5, who is taking decision: 1

Strongest Arguments

  • who is in customer s place to collect requirement: Translating ambiguous human needs into technical solutions requires human empathy and interpersonal communication skills that are significantly harder to automate than routine implementation or data-driven decision-making.
  • who is taking decision: High-level strategic vision, ethical judgment, and risk assessment are the final frontiers of human expertise that AI cannot replicate, even as it begins to assist in requirement analysis.