Nick Contreras coaches students pursuing investment banking careers, with advice on recruiting, interview preparation, workplace expectations, and skills that may help them stand out as AI changes banking work.
Useful for candid, stage-by-stage advice to students preparing for investment banking recruiting, interviews, and early desk expectations.
Best for
A finance career coaching brand building a student-facing investment banking recruiting resource.
Not for
An enterprise AI vendor targeting bank technology executives or procurement teams.
Key takeaways
Recruiting is a test of motivation, not intelligence.
Every stage change is steeper than anyone prepares you for.
AI has changed what a junior is expected to bring.
Check first: Confirm audience makeup, source for the 75% training-day claim, and earlier work.
Main ideas
Recruiting is a test of motivation, not intelligence · Every stage change is steeper than anyone prepares you for · AI has changed what a junior is expected to bring
Nick Contreras coaches students pursuing investment banking careers.
In the five LinkedIn posts reviewed, they focus on parts of the path that standard interview guides can miss: how recruiting differs by market, what changes when a candidate starts the job, and how AI may shift expectations for junior bankers.
The posts offer a reason to follow them for candid, stage-by-stage advice, including on burnout and standing out beyond technical preparation.
Contreras connects recruiting advice to the realities before and after an offer.
One post contrasts classroom modeling with building a model under pressure for a real business; another argues that enthusiasm can distinguish candidates who are already technically qualified.
The AI post extends that practical focus to changing expectations, while the burnout post names sustained pressure and mismatched rewards as risks and describes mentorship as help deciding where to put effort.
These angles illuminate the transition into banking.
The burnout percentage and training-day account are presented as Contreras's assertions or anecdote, not independently verified; ask for the source and context.
Their posts do not mention signature books, shows, or earlier work; ask about those before evaluating their broader track record.
Nick Contreras writes about breaking into and surviving investment banking.
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One argument runs through everything they publish: the job selects for people who read changing expectations quickly and keep proving they want it, not for the strongest technical candidates.
They apply that idea to recruiting, a test of motivation; the first weeks on the desk, where classroom modeling and real deadlines diverge; interviews, where enthusiasm separates equally qualified people; and AI, which they say is already doing parts of the junior job and has changed what interviewers expect to hear.
Their priority is for students to prepare earlier and more deliberately than their peers, and to find support rather than absorb the pressure alone.
Recruiting is a test of motivation, not intelligence
Contreras argues that case prep, superdays and rejections are surface activity; underneath, banks are vetting whether a candidate will keep going.
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Years of internships, a maintained GPA and pressure tolerated along the way serve as proof of motivation.
They frame the payoff as operating above what you thought was your own maximum before you start the job, and say most students burn out before they get there.
The priority: manage your endurance by understanding what causes burnout and deciding where to spend your effort.
Nick Contreras names two causes of burnout: being pushed past your maximum for too long and feeling the rewards don’t match the effort. Their remedy is a mentor who can help you judge when and where to keep pushing, so you don’t pour energy into the wrong things.
Every stage change is steeper than anyone prepares you for
This is Contreras’s most repeated structural claim: objectives change at each level, and return offers go to those who work out the new rules fastest, not the most talented.
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High school runs on grades alone; college adds coffee chats, internships, networking and a recruiting strategy; the job replaces the classroom model with a real business and someone waiting on the output. They see the post-offer period as the riskiest stage: students who assume the hard part is over can be caught out immediately.
Contreras lists concrete ways new hires can falter: a misaligned PowerPoint, slow Excel work and building a model under pressure for a vice president — a different task from the DCF and LBO frameworks students have already done in class. They say they have seen people let go within a month for not adjusting in time.
Contreras argues AI is already part of bank work and interviews, not a future scenario.
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Standard technical questions are losing their power to separate candidates because everyone reaching the later rounds has done the technicals, and the guides behind those questions describe an older job. Their priority is for candidates to identify and articulate what they offer that a tool doesn’t: proactivity, discipline, the ability to build something from nothing and connecting with people in a room.
Contreras says a student’s first day of bank training was spent roughly 75% on AI and a group-specific productivity tool.
They repeat the message a managing director delivered to the room: work out what you bring that the tool doesn’t.
They close by asking whether the reader has been asked in an interview how they use AI.
Enthusiasm is what decides between qualified candidates
Contreras points out that bank job listings all ask for the same things — analytical skills, attention to detail, team player — so those phrases can’t set a candidate apart.
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They say enthusiasm produced offers for them and their students, and call it underrated.
Their instruction is about communication as much as feeling: make the interviewer believe this specific role is the one you’ve been working toward, even while you’re in other processes.
Their reasoning: everyone reaching the later rounds is technically qualified.
Contreras draws on three roles: breaking into Wall Street at 21, screening resumes and interviewing interns, and coaching 200+ students into roles at Goldman Sachs and Bank of America. They ask whether the person across the table feels you would crawl through glass to be there.
Banking recruiting has hardened, so start earlier and target the right market
Contreras argues the difficulty has shifted down a tier: winning a middle-market bank seat in 2026 is roughly as hard as winning a bulge bracket seat in 2023, because there are fewer interview slots, more qualified applicants and recruiting information that once sat in niche forums now circulates everywhere.
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They treat the US and Canada as separate problems: visa uncertainty pushes Canadian students who wanted the US back into a smaller domestic pool. Their priority is timing: work out the required steps months before your peers through older students, external contacts and clubs.
Contreras’s three recommended actions are a solid freshman-year internship, extracurriculars prioritized over academics and early intelligence-gathering through networking. They also call Breaking Into Wall Street guides outdated for this cycle, saying the same material has been overtaken by AI.
A tension in Contreras’s own advice: the mindset that worked was not a healthy one
Contreras is unusually direct that their competitive mentality was damaging.
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They describe comparing themselves with candidates who had an easier path and refusing to finish behind them, call the mindset unhealthy, then say it worked because the process rewards demonstrated motivation.
This sits alongside their separate view that enthusiasm is the deciding factor.
The claims aren’t identical: one concerns driving yourself past your limit, the other how you present yourself in the room.
Both rest on their core view that the process tests motivation more than ability.
Contreras describes their recruiting mindset bluntly: they would not be beaten by a candidate who had to work less for it. They present it as effective, but not something to copy uncritically.
How Contreras argues: one blunt claim, a personal example, a closing question
Contreras uses a consistent format: each post opens with a declarative claim, develops it in very short paragraphs, supports it with personal experience or a student’s story, then ends with a question inviting a reply.
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Advice appears as numbered steps when there’s something to do. Commercial references sit within the copy.
One post asks which felt like the bigger jump: high school to college or college to the job.
Another asks whether anyone has been asked how they use AI in an interview.
One names Contreras’s coaching service while discussing how to close the gap; another ends with an invitation to direct message them.
It answers how competitive banking recruiting is right now and why the answer differs by country—the baseline every other post here assumes.
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The post describes a shift between market tiers: a middle-market bank is presented as about as hard to enter now as a bulge bracket was a few years earlier.
The stated causes are fewer interview slots, more qualified applicants, and recruiting information that once sat in niche forums now circulating widely.
The post treats the US and Canada differently: in the US, more students than before understand finance recruiting; in Canada, visa concerns push students who wanted to work in the US back into a smaller Canadian pool.
It names Breaking Into Wall Street guides as outdated and lists three actions for applicants: secure a solid freshman-year internship, prioritize extracurriculars over academics, and learn the required steps months before peers through older students, external networking, or clubs.
For brands planning a campaign
A banking-entry resource can split advice by market and year of study instead of publishing one generic timeline, and explain why preparation alone no longer separates applicants.
It answers what AI changes about what interviewers expect from a junior—the first question a reader recruiting in the next cycle needs answered.
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The post describes a first day of bank training when roughly 75% of the day focused on AI and a specific productivity tool the group uses, with the message that the tool already handles parts of the junior job well.
Its practical advice: candidates should be able to explain how they use AI, while conventional technical questions drawn from older guides are losing relevance.
It lists traits described as not automatable: proactivity, discipline, building something from nothing, and connecting with people in a room.
The training-day detail is the author's own account, not a published survey.
For brands planning a campaign
An interview-prep resource can add an AI-workflow question to its bank, paired with prompts that show non-automatable traits in action. The 75% figure appears in one account; ask for corroborating examples before presenting it as typical.
It answers what goes wrong after a student is hired, a key question for newcomers who assume the hard part ends at the offer.
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The post lays out a chain of expectation jumps: high school grades into college, college into the internship, and internship into the job.
It names specific failure modes: a misaligned PowerPoint, slow Excel, and building a model for a real business under pressure with a VP waiting, unlike the classroom DCF and LBO frameworks students arrive with.
The author reports seeing people laid off within a month for not adjusting to the new rules quickly, and attributes six years of surviving regular layoffs to working those rules out early.
The conclusion: students who keep their offers are not the smartest, but the fastest to read expectations.
For brands planning a campaign
A careers resource that stops at winning the offer misses the stage the post treats as riskiest. A first-90-days module built around example work products, review habits, and model turnaround time applies the lesson directly.
It answers what tips a decision when many candidates are equally qualified—the point most technical drilling does not address.
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The post quotes phrases that recur in bank job listings—strong analytical skills, attention to detail, team player—and argues that enthusiasm decides the outcome.
The author cites experience on several sides of recruiting, including screening resumes and interviewing interns, and coaching 200+ students into roles at firms including Goldman Sachs and Bank of America.
The advice is direct: tell the interviewer this is the role you have been working toward, even while other processes are running, because everyone reaching later rounds is technically qualified.
For brands planning a campaign
For an interview-prep product, this supports a section on communicating intent instead of another round of technical drills. The student count and placement claims are the author's own; ask for independent examples before featuring them as evidence.
It answers why prepared students leave recruiting and what a mentor actually changes—the part of the process students mention least.
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The post frames recruiting as a test of whether a candidate will break, not a test of intelligence, and claims 80% of students burn out before starting the job.
It describes an internal recruiting mindset: comparing oneself to candidates who had an easier path and refusing to finish behind them.
The post calls that mindset unhealthy but effective.
It names two causes of burnout: being pushed past your maximum for a sustained period, and rewards that do not match the effort.
Its recommended fix is a mentor who helps decide when and where to keep pushing, so effort is not spent on the wrong things.
For brands planning a campaign
A coaching brand can build a burnout-and-mentorship module from this, framing mentoring as deciding where to push rather than offering general encouragement. The 80% figure is the author's own claim; ask for a source before repeating it as a statistic.
AI is now part of the job and part of the interview1
The expectation jump between each level1
Enthusiasm as the differentiator once credentials are equal1
Burnout and the motivation test1
Middle-market recruiting has gotten much harder
In a post addressed to parents, Nick Contreras argues that getting into a middle-market bank in 2026 is about as hard as getting into a bulge bracket bank was in 2023.
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They give three reasons: fewer interview slots, more qualified applicants, and recruiting information that used to sit in niche forums now being shared everywhere.
They also point to Canadian students being pushed back into a smaller domestic market by US visa uncertainty.
The practical advice is to secure a solid freshman-year internship, weight extracurriculars over academics, and work out the timeline months ahead of peers by talking to older students, external contacts, and clubs.
Frames the change as a rough multiple ("3x harder"), then names specific levers a student can pull instead of describing the market in general terms.
For brands planning a campaign
This is the clearest hook in these posts for a resource on how early investment banking preparation now starts. A finance career coaching company can build the "you are already late" argument around Contreras's three levers, while their reference to outdated interview guides creates a natural contrast between old and current preparation material.
AI is now part of the job and part of the interview
Nick Contreras describes a student's first day of bank training, 75% of which was spent on AI and a group-specific productivity tool.
Read more
They repeat the managing director's message: work out what you bring that the tool does not.
Contreras argues that standard technical interview questions and the guides they come from are becoming less of a differentiator, while proactivity, discipline, the ability to build something from nothing, and connecting with people in a room carry more weight.
They close by asking whether the reader has been asked in an interview how they use AI.
Uses a specific scene from a training day to teach interview strategy, then draws a broader lesson from it.
The training-day account comes from a student and the 75% figure is secondhand; the bank and group are not named.
For brands planning a campaign
For a coaching company, this supports content that pairs technical preparation with a separate "what can't be automated" track. It also offers a defensible reason to update or de-emphasize legacy technical guides—a concrete product decision rather than a general claim about AI.
Nick Contreras compares high school, college, and the first banking job to show how the objectives change at each stage and how little people are prepared for that shift.
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In high school, the only goal is the grade; in college, grades still matter, but coffee chats, internships, networking, and a recruiting strategy come into play.
On the job, building a model under pressure for a vice president differs from building one on paper in class; the visible symptoms are misaligned PowerPoint and slow Excel.
Contreras says students who get return offers are not necessarily the smartest, but the ones who learn the rules fastest, and ties the point to the support the company provides.
Runs the same comparison across three career stages, using concrete failure modes—presentation formatting and spreadsheet performance—instead of abstract advice.
For brands planning a campaign
This is directly usable for a piece on the first weeks of a banking job and why classroom modelling does not transfer automatically. A coaching brand can use the three-stage structure as an outline and place its offer where the gap is widest, rather than at the recruiting stage where most competing resources sit.
Enthusiasm as the differentiator once credentials are equal
Nick Contreras notes that bank job listings all ask for the same things—analytical skills, attention to detail, and being a team player—then argues that enthusiasm produced offers for them and their students.
Read more
They draw on three roles in the process: breaking into Wall Street at 21, screening resumes and interviewing interns, and coaching students into large banks. Their advice is to tell an interviewer this is the role you have been working toward and make the person across the table feel you would crawl through glass to be there.
States the conventional requirements first, then presents one soft factor as the deciding variable, drawing on Contreras's hiring-side experience.
The coaching count and named banks come from Nick Contreras's own post and are not independently confirmed. Ask for supporting evidence before using them as verified claims.
For brands planning a campaign
Useful for interview-preparation content aimed at people who already have the technicals. The claim that everyone in later rounds is technically qualified gives a coaching business a reason to offer behavioural and motivation coaching alongside technical drills.
Nick Contreras argues that recruiting does not test intelligence so much as whether a candidate will break, and says most students burn out before they start the job.
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They describe their own recruiting mindset in blunt terms, admit it was unhealthy, and say it worked because recruiting is ultimately about vetting motivation.
They name two causes of burnout on the job: being pushed past your maximum for a long stretch and feeling that the rewards do not match the effort.
A mentor, they suggest, can help you judge when and where to keep pushing.
Uses a personal admission about Contreras's state of mind as the entry point, then identifies two burnout causes and one intervention.
For brands planning a campaign
This supports content about the psychological side of recruiting and the first years on the desk, not just tactics. A coaching company with a mentorship offer can connect the two burnout causes Contreras identifies to its product, while their rejection of their own former mindset creates a natural opening to discuss sustainable motivation.
Across the five posts, the pattern is consistent: a blunt claim in the first line, very short paragraphs, a personal or student anecdote as evidence, numbered advice when there is something to do, and a closing question that invites a reply.
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The tone is direct and informal. Commercial connections appear in the text itself, including a named coaching service in one post and open direct messages in another.
For brands planning a campaign
A brand working with this creator should expect conversational posts built around one strong claim and a question at the end, with the offer mentioned in the copy rather than kept separate. Briefs requiring measured, hedging language or a formal research register will not match this style.
Contreras describes CareerXL as helping close the gap between classroom finance skills and the demands of a banking job.
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Ask what their formal role is and whether the relationship is paid.
CareerXL
Disclosed partnership
In a post about the jump from college finance coursework to banking work, Contreras writes, “That’s exactly what we help with at CareerXL: closing the gap before it costs you.”
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The post links them directly to CareerXL but doesn’t state their formal role or the relationship’s terms. Ask for both.
Nick Contreras writes on LinkedIn about getting into and staying in investment banking, in short posts built around one blunt claim, a personal or student example, and a closing question.
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New readers should start with the two posts on how much harder the market has become and what to do earlier: pursue a freshman-year internship, weigh extracurriculars over grades, and gather intelligence through older students and clubs.
Next come the posts on what changes after the offer—building a real model under pressure for a vice president, slides that are probably misaligned, and spreadsheets that are probably slow—which explain why they treat the first weeks on the desk as the riskiest stage rather than the reward.
The AI posts argue that the standard technical interview answer no longer separates candidates.
The burnout post explains the pressure the process is designed to produce and why they suggest finding a mentor to help judge where to keep pushing.
Contreras writes directly to students and indirectly to parents, uses numbered steps when there is something to do, and nearly always ends with a question, making the comments part of the conversation.
Expect recruiting-calendar and motivation advice more than technical finance instruction.
Investment banking recruitingInvestment banking careersFinance career coachingInterview preparationCareer burnoutAI in finance workEarly-career adviceLinkedIn postsFinance studentsParents of finance job seekersEarly-career finance professionals
Both write for students deciding what to do next and parents helping them decide.
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They teach through personal stories, tie self-understanding to career direction, and fold a paid program into the argument rather than keeping it separate: a five-day student workshop in one case, recruiting coaching in the other. Both end posts with an invitation to the reader, whether a question or a registration link.
Addyson-Zhang focuses on identity and self-awareness as foundations for leadership and fulfillment, delivered through workshops with high schoolers.
Contreras works one level later and more concretely, covering finance recruiting mechanics, interview behavior, and the adjustment to a first banking job.
Readers seeking reflective career development should follow Addyson-Zhang; those looking for the recruiting calendar, market conditions, and desk expectations should follow Contreras.
Both use the same argumentative shape to discuss a professional role: one claim in the opening line, short paragraphs, numbered questions or steps, and a question at the end to draw readers into the comments.
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They write about the unwritten expectations of a job rather than its formal skills: Pal on earning trust as a technical program manager without pretending to have every technical answer, and Contreras on reading changing expectations fast enough to keep a seat.
Pal writes for people already inside engineering program work, covering hardware, validation, and supply-chain decisions; his advice is about running a review and reaching a decision.
Contreras writes for people trying to get in, with advice on competition, preparation timing, and motivation under pressure.
The tone of engagement is similar; the career stage and industry are not.
Both publish about how AI is changing what students are expected to do, and both argue that the practical skill set around a tool matters more than the tool itself.
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Miller builds a study product with student input and reports what they asked for; Contreras relays a training-room message about finding what you bring that the tool does not. Both write in a first-person voice that combines building something with teaching readers about it.
Miller works inside education technology, describing a product and the students who shape it for an institutional audience of universities and educators.
Contreras stands outside any employer, describing a labour market and advising individual candidates.
Miller is the better follow for people interested in how learning tools get built and adopted; Contreras is the better follow for students and parents facing a hiring process.
For a finance career coaching brand building an investment banking recruiting resource, the key question is whether Nick Contreras reaches students navigating recruiting and the parents funding and advising them.
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Five available posts speak directly to that group: they address students studying for interviews, parents weighing how much harder middle-market entry has become, and early analysts facing the gap between a classroom DCF and a live deal.
The only measured audience figure in the posts is their LinkedIn follower count: 5,073, observed October 11, 2026.
The posts do not provide audience geography, age, gender, job role or seniority, or per-post engagement figures.
Before committing, ask for audience survey results covering where readers are based, their stage (student, recent graduate, working analyst) and how they found the posts, plus recent results for the campaign’s specific topics: recruiting pressure, burnout and AI skills in banking.
The follower count alone cannot show how many readers are students or parents rather than peers, recruiters or other coaches.
Selected examples include a comparison of high school, college and on-the-job expectations, the claim that day one of a student's bank training was 75% AI tools, and the argument that enthusiasm separates otherwise-qualified interview candidates.
LinkedIn followers
5,073
LinkedIn profile record for the account linked in At a glance · 2026-10-11
The posts show no sponsor or brand-partnership offer: no disclosed sponsored examples, rate card or media kit, or dedicated partnership page or inquiry form.
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Nick Contreras invites students and parents seeking guidance to contact them through LinkedIn.
Their visible commercial work is CareerXL, a coaching service that helps students bridge the gap between classroom preparation and the demands of an actual banking job.
The posts say CareerXL has coached more than 200 students into roles at banks including Goldman Sachs and Bank of America.
Brands should contact Contreras directly to define scope, deliverables, disclosure and compensation; the posts set no terms.
A finance career coaching company should also account for the overlap with CareerXL and frame any collaboration around that existing business rather than a neutral editorial slot.
Good fit, with a clear boundary: build the resource around student decisions and practical preparation, not claims that Contreras’s posts establish industry-wide trends.
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Brief
A finance career coaching company wants a practical resource for students preparing for investment banking recruiting, including interview preparation, burnout, and changing expectations around AI.
Campaign angle
Create a student-facing guide called “From recruiting to your first weeks on the desk.” Use the recruiting and interview posts to help students prepare for the offer, then Contreras’s expectation-gap post to show why the first job demands different skills. Add an AI interview exercise asking candidates to explain how they use AI and what they contribute beyond the tool. Attribute the 75% training-day detail to a single account, not a typical industry statistic. Present burnout claims and coaching outcomes as Contreras’s statements unless independently substantiated.
Why
Nick Contreras’s posts address students studying for interviews and parents advising them. They offer distinct material for a student-facing guide: how recruiting competition can vary by market, why enthusiasm may distinguish technically qualified candidates, how to think about AI in interviews, and what can change when a new hire moves from classroom exercises to live work. Their posts use direct claims, personal or student anecdotes, short paragraphs, and actionable advice—formats that could support a conversational resource. Before committing, ask for evidence that the intended student audience is present and for reach data on the posts. CareerXL already offers coaching in this subject area; clarify how a collaboration would relate to that business. Ask directly about available sponsorship formats, deliverables, disclosure, and compensation.
When to choose a specialist
Poor fit for a student-facing guide based on Contreras’s posts.
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Brief
An enterprise AI vendor wants a campaign aimed at bank technology executives and procurement teams, focused on evaluating and buying AI productivity software.
Why
Contreras’s posts speak to students, parents, and early-career banking candidates—not bank executives or software buyers. The AI post discusses what a student might encounter in training and what candidates should bring that a tool cannot; it does not review products, compare vendors, or advise institutions on procurement. The LinkedIn follower count is recorded as 5,073, but the posts do not establish whether target decision-makers are among those followers. The campaign would require a technical product-evaluation voice and evidence of access to enterprise buyers that these posts do not demonstrate. A better candidate would have established expertise and an audience of banking technology decision-makers.
A worked campaign example
Angle
“The AI question is not just ‘Which tool have you used?’ It is ‘What can you contribute that the tool cannot?’”
Campaign brief
A finance career coaching company is updating an investment banking interview resource for students recruiting in the next cycle. It wants a short LinkedIn post that connects AI to interview preparation and gives readers one exercise to try.
Draft
A model walkthrough can show that you know the steps. It may not show how you work when the task changes.
In a post about a student’s first day of bank training, Nick Contreras describes substantial attention to AI tools and argues that candidates should be ready to explain what they bring beyond automation. They name proactivity, discipline, building something from nothing, and connecting with people as qualities to develop.
Try this before your next interview: name one task where you have used AI, explain how you checked its output, then give a specific example of the judgment or initiative you added yourself.
Treat the training-day account as one reported example. Ask how the bank’s experience compares with training at other firms; it does not show how every bank trains new hires. Use it to prompt a question, not as proof that technical preparation no longer matters.
Why this works
The angle uses the post’s central point and turns it into a concrete interview exercise. It distinguishes Contreras’s reported example from a general industry claim while complementing technical preparation rather than telling students to abandon it. The post can be delivered in their observed short-paragraph LinkedIn style; agree on campaign terms and review before publication.
Choose Charlie Miller when the campaign shifts from investment banking recruiting mechanics to students adopting AI study and productivity tools in higher education.
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The two posts center on building Adobe's Acrobat Student Spaces with student testers, name feature rollouts, report more than one million students per month, and describe partnerships with several universities. That suits a campaign about testing and adopting a study product on campus, or product decisions shaped by student feedback.
Miller offers no material on investment banking recruiting, interview preparation, bank training, or early-career finance. For a campaign on how to land or keep an IB seat, ask for recruiting-specific content; using Miller would shift the subject to study tools and higher education, away from the recruiting, burnout, and AI-in-interviews angles that make Contreras a fit.
Choose Vikrant Pal when the campaign targets early-career technical and hardware roles rather than banking.
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One post describes joining CXtec as an associate intern, thanking named managers and outlining supply chain, cost-saving, and outsourcing projects.
The other explains how a technical program manager builds trust with engineers by asking decision-focused questions about missing evidence, risk, and ownership across hardware, software, validation, manufacturing, and suppliers.
That fits a resource for students and new hires entering engineering or technical program management.
Pal's posts offer no finance recruiting, banking, or interview preparation, so ask for banking-specific material if the goal is to help readers prepare for an IB interview.
The content focuses on the working TPM role and one internship announcement, with less reusable advice for students deciding whether to pursue finance.
A finance coaching company would need a different audience and promise to use Pal, and could not reuse the recruiting, AI, or burnout material that anchors Contreras's content.
Ai Addyson-Zhang when the campaign targets parents and high school students choosing a summer program, or makes the broader case that self-awareness should guide career decisions.
The two posts promote a five-day Find Your Voice workshop at Sidwell Friends School, with exercises on core values, strengths, personality, and leadership.
They frame self-awareness as the foundation of aligned success across academics, work, and life.
That suits a campaign about student coaching, confidence, or values-based career planning.
The posts offer no investment banking recruiting detail, interview technique, or bank-specific skill guidance.
Ask for IB interview preparation if that is the campaign goal.
The paid summer workshop has fixed dates and registration, and speaks to high school students and their parents rather than candidates already in a recruiting cycle.
Using Addyson-Zhang means changing both the audience and the call to action.
Nick Contreras's five complete LinkedIn posts cover recruiting competition and market differences, AI in bank training and interviews, the transition from offer to job, enthusiasm as an interview differentiator, and burnout during recruiting.
The posts here do not show publication dates, so they are not placed on a timeline.
The posts here do not include video, audio, transcripts, or long-form writing.
Nick Contreras's posts here do not identify signature books, shows, or earlier work, so whether there are any is unclear.