Using ChatGPT to think like Ryan Serhant transforms your work mindset

Craig Nash
By
Craig Nash
Tech writer at All Things Geek. Covers artificial intelligence, semiconductors, and computing hardware.
10 Min Read
Using ChatGPT to think like Ryan Serhant transforms your work mindset

Using ChatGPT to adopt Ryan Serhant’s expansion mindset for a week revealed something unexpected: an AI chatbot can function as a thinking partner that challenges your assumptions and pushes you beyond comfortable routines. Serhant, the real estate broker and media personality behind SERHANT. and the reality series Owning Manhattan, has built a career on aggressive expansion in all directions—professionally, personally, and strategically. The experiment tested whether his philosophy could translate into everyday productivity through AI.

Key Takeaways

  • ChatGPT can model a high-performance sales mindset and challenge daily decision-making beyond typical productivity tools.
  • Serhant’s “expansion in all ways” philosophy emphasizes growth in multiple dimensions, not just revenue or title.
  • AI works best as a validation tool, not an oracle—Serhant warns that ChatGPT produces coherent answers, not objective truth.
  • Automating administrative tasks frees time for relationship-building and higher-value work, a principle Serhant applies company-wide.
  • Clients increasingly use AI to research experts and question negotiating terms, shifting how professionals must engage.

The Expansion Mindset Explained

Ryan Serhant’s core philosophy centers on expansion in all ways—a deliberate refusal to optimize narrowly or accept constraints. Rather than maximizing a single metric, Serhant advocates for simultaneous growth across career, relationships, skills, and influence. This mindset rejects the efficiency-obsessed productivity culture that dominates tech writing. Instead of automating everything away, expansion thinking asks: What opportunity am I missing because I’m comfortable with the status quo? What would change if I treated every conversation, task, and decision as a chance to grow?

When applied through ChatGPT, this philosophy becomes actionable. The AI becomes a sparring partner that questions your assumptions and pushes back on decisions framed as final. Rather than accepting your first instinct, ChatGPT prompted in a Serhant-style framework asks why you chose that path and what you might be overlooking. Serhant himself notes that “I brand, I expand, and I sell”—three simultaneous pursuits that feed each other. Using AI to adopt this thinking means treating your week not as a series of tasks to complete, but as a series of expansion opportunities to evaluate.

How Serhant Uses AI in His Own Business

Serhant has been transparent about his approach to artificial intelligence: it should automate administrative burden so professionals can spend more time on relationships and selling. His company SERHANT. has built 18 AI “recipes”—specialized prompts and workflows that combine automation with human expertise and reduce busy work. This is not about replacing human judgment; it’s about removing friction from repetitive tasks so judgment can be applied where it matters.

Critically, Serhant warns that AI provides validation, not truth. As he explained in an interview, “It frames its assumptions to provide a coherent answer, not an objectively correct one”. This distinction matters enormously. ChatGPT will generate a plausible, well-reasoned response to almost any question, but that coherence does not equal accuracy. Serhant’s job—and by extension, yours—is to interpret and provide perspective. This reframes AI not as an oracle but as a thinking tool that requires human oversight and skepticism. When clients now use AI to research Serhant and push back on deal terms, they are applying this same principle: AI as a research catalyst, not a final authority.

What Changed When AI Became Your Thinking Coach

Using ChatGPT to think like Serhant for a week forced a confrontation with routine. The experiment moved beyond typical productivity prompts—”help me write an email,” “summarize this article”—and instead treated ChatGPT as a coach that questioned your decisions through the lens of expansion. When faced with a familiar task, the Serhant-style prompt asks: Am I doing this because it’s the best choice, or because it’s what I did last week? Is there a way to do this that also builds a relationship, develops a skill, or opens a door I hadn’t considered?

This approach challenges the assumption that efficiency and growth pull in opposite directions. A traditional productivity mindset optimizes for speed and fewer steps. An expansion mindset optimizes for simultaneous wins: faster execution that also builds relationships, administrative tasks that also develop team members, sales calls that also strengthen your personal brand. ChatGPT, when prompted with this framework, becomes a tool for identifying those layered opportunities rather than settling for single-benefit actions.

Why Serhant’s Philosophy Matters Now

The real estate industry—Serhant’s domain—is being reshaped by AI research and client empowerment. Buyers and sellers now use ChatGPT, Gemini, Claude, Perplexity, and other AI tools to research market conditions, challenge broker claims, and verify negotiating positions. This means professionals can no longer rely on information asymmetry or expert gatekeeping. Instead, expertise now means interpretation and perspective—the ability to take what AI surfaces and add judgment, context, and relationship value that a chatbot cannot.

Serhant’s public embrace of AI and his emphasis on human judgment in an AI-augmented world makes his mindset a useful case study for anyone navigating this shift. The expansion philosophy says: Don’t resist AI. Don’t pretend it doesn’t change the game. Instead, use it to free yourself from busywork so you can do the work only humans can do—build trust, interpret nuance, and make judgment calls that require experience and intuition.

Can You Actually Think Like Serhant for a Week?

The short answer: yes, but it requires discipline and a willingness to question your own decisions. The experiment works because it treats ChatGPT not as a tool for getting things done faster, but as a mirror that reflects your assumptions back at you. When you frame a problem and ask ChatGPT how Serhant would approach it, you are forced to articulate your own thinking first. The AI’s response then becomes a prompt for self-reflection rather than a directive to follow.

This works best when you combine it with Serhant’s principle of automation for administrative work. Use AI to handle the routine—scheduling, research, drafting, data organization—so your mental energy remains available for the expansion questions. The goal is not to become Serhant or to adopt his exact career path. The goal is to adopt the underlying principle: simultaneous growth in multiple dimensions, supported by tools that remove friction, guided by human judgment and perspective.

Does ChatGPT actually improve your decision-making?

Yes, but only if you treat it as a thinking tool, not an answer engine. ChatGPT excels at generating coherent, plausible responses that can help you see your problem from a new angle. Where it fails is in providing objective truth or understanding context unique to your situation. The Serhant approach acknowledges this limitation and uses AI as a catalyst for your own interpretation rather than a substitute for it.

How does this compare to other AI-powered productivity systems?

General-purpose chatbots like ChatGPT, Gemini, and Claude work well for this kind of mindset modeling because they are flexible and conversational. Specialized tools like Serhant’s own S.MPLE/Simple platform are designed as an AI chief of staff for real estate agents, automating administrative tasks at scale. For an individual experimenting with mindset, a general chatbot is sufficient. For a business looking to systematize the principle across teams, specialized automation becomes necessary.

What’s the real takeaway from a week of Serhant-style thinking?

The experiment reveals that AI’s most underrated application is not automation or content generation—it’s serving as a thinking partner that questions your assumptions and pushes you toward expansion rather than optimization. Serhant’s philosophy works because it aligns with how professionals actually need to think in an AI-augmented world: not as competitors to AI, but as interpreters and judges of what AI surfaces. A week of using ChatGPT this way will not make you a real estate mogul, but it will change how you evaluate opportunity and challenge your own routine.

Where to Buy

"Sell it Like Serhant." | "Big Money Energy."

Edited by the All Things Geek team.

Source: Tom's Guide

Share This Article
Tech writer at All Things Geek. Covers artificial intelligence, semiconductors, and computing hardware.