A lot of borrowing deserves that fear. Plenty of loans are traps.

But skip debt entirely and you also skip most of the growth you could have had. Nearly every business you’ve admired was built on borrowed money at some point. Every rental property that pays for itself started with a loan. The real skill is telling the two apart before you sign anything.

Here’s how I think about it as a finance person: what makes debt worth taking, and the numbers you should run before you borrow.

What makes a loan good or bad

Labels like “good debt” and “bad debt” are a shortcut, and shortcuts mislead. The same loan is brilliant for one person and a disaster for another.

The test is simple: what does the money do?

Good borrowing buys something that produces more than it costs. A machine that pays for itself. Inventory that sells. The borrowed money becomes an asset, and the asset covers the repayment with room to spare.

Bad borrowing buys things that only consume. A car for image. A wedding at a price you can’t afford. The money disappears and the payment stays. There’s no asset on the other side, just a hole in the cash flow.

Same bank, same interest rate, same paperwork. The difference lives entirely in what you do with the cash.

When borrowing actually makes sense

A few situations where debt is a reasonable tool, not a gamble:

1. Capacity you can fill. You have more orders than you can serve. A loan for equipment or inventory lets you serve them. The extra revenue is the return on the borrowed money.
2. Assets that pay for themselves. Rental property, machines that cut labour costs. The asset’s income covers the loan.
3. Skills that raise your earning power. A course or certification that measurably increases what you can charge. This one needs the most honesty, because the return is harder to prove in advance.
4. Refinancing expensive debt. Replacing a 24% credit card balance with a 12% loan is an instant improvement. The money doesn’t need to do anything clever. It just needs to cost less.
5. Bridging a timing gap with a signed deal. You have a confirmed contract and need working capital until it pays. That’s borrowing against money that already exists in the pipeline, which is about the safest loan there is.

Notice what’s missing: borrowing for lifestyle and borrowing to speculate. Those have a different shape, and I’ll come back to them.

The math that decides

Here’s the whole game in one rule: borrow when the money earns more than it costs, after a realistic haircut.

A worked example. A salon in Hyderabad takes a 10 lakh rupee loan at 13% to add two workstations. Each station can realistically bring in about 1.2 lakh of extra profit a year after the stylist’s share. That’s 2.4 lakh on 10 lakh borrowed, a 24% return on money that costs 13%. The spread is 11 points. The loan pays for itself and then keeps paying.

Same salon, different loan. Ten lakh at 13% to buy a personal car. The car produces nothing. The return is zero against a 13% cost. Every rupee of interest is a permanent loss.

The spread is your margin of safety. A 2% spread against a 30% return assumption is a bet. A 10% spread against a conservative estimate is a business decision.

Red flags that make borrowing a bad idea

Skip the loan when any of these show up:

• The return is a hope, not a number. If you can’t write down where the money comes from, you’re betting with borrowed money.
• You’re funding a habit. Borrowed money used for spending that doesn’t build anything. The payment outlives the pleasure.
• The rate is punishing. Consumer credit and buy now, pay later deals carry rates that eat any reasonable return before it starts.
• The loan is patching a cash flow hole. If revenue is structurally short, debt makes the hole deeper. Fix the business first, then borrow for growth.
• You’d take the maximum offered. Lenders price their ceiling for their risk, not your comfort. Your number should come from your cash flow, and their approval letter should have nothing to do with it.

A short stress test before you sign

Five minutes with a calculator beats a year of regret. Run these before any loan:

1. Model it first. Put the numbers in a simple cash flow or financial model before you talk to the bank. See what the repayment does to your monthly position. Yearly profit hides the damage.
2. Discount the return by 30%. If revenue comes in a third lower than your best guess, do you still cover the EMI? If the answer is no, the loan is too big. This is where a proper cash flow view matters.
3. Price the full cost. Interest is only part of it. Processing fees and penalties add up. Ask for the effective annual rate, not the headline number. The ACCA financial management material covers exactly how to compare borrowing costs properly.
4. Match the tenure to the asset. A machine that lasts 8 years should not be paid off in 12 months. Stretching the loan to match the asset’s useful life is how the repayment stays survivable.
5. Know your exit. Can you repay early without a penalty? What happens if the asset breaks or the client cancels? Borrowing without a worst case plan is how good ideas turn into bad debt, and my business strategy notes are full of examples of that exact failure. For a real world case study of what happens when leverage goes wrong at scale, see my Leopold Aschenbrenner vs Citadel analysis.

Key takeaways

• Debt is good when the borrowed money earns more than it costs, and bad when it only consumes.
• The same loan can be smart for one person and ruinous for another. The decision is about what the money does, not the loan itself.
• Borrow for capacity you can fill, assets that pay for themselves, and refinancing expensive debt.
• Run the return against the cost with a 30% discount on your optimism before you sign.
• Never borrow the maximum offered. Let your cash flow set the number.

Related questions

When is borrowing money a good idea?

Borrowing makes sense when the money buys something that produces more than the loan costs: equipment for orders you already have, a rental property that covers its own payments, or refinancing high cost debt at a lower rate.

What is the difference between good debt and bad debt?

Good debt buys an asset that generates income or savings greater than the interest cost. Bad debt funds consumption, lifestyle, or speculation, leaving a payment with nothing productive on the other side.

How do I know if a business loan is worth it?

Compare the expected return on the borrowed money with the full cost of the loan. If the return beats the cost by a comfortable margin after discounting your assumptions by 30%, the loan is probably worth taking.

What kind of debt should you avoid?

Avoid debt that funds spending without a return, high interest consumer credit, and loans taken to patch a structural cash flow problem. Each of those deepens the hole instead of filling it.

What should I check before taking a business loan?

Model the repayment against your real cash flow, discount your revenue assumptions, price the full cost including fees, match the loan tenure to the asset’s life, and confirm you can repay early if things go well.

Conclusion

Borrowing is a tool. Like any tool, it’s judged by what it makes, and a hammer doesn’t ask whether you’re building a house or breaking a window. The market only asks whether the money earned more than it cost.

That’s the whole discipline: an honest number for the return and an honest number for the cost, then a plan for when the honest number turns out wrong. Run that, and debt stops being scary. It just becomes a price you check against the value.

If the discipline part is the hard part, that’s where good systems help. F9XR Team builds the websites and local SEO foundations that give growing businesses steady, predictable revenue, the kind of income that makes a loan decision easy to evaluate in the first place. Because the best way to know if you can afford to borrow is to know exactly what your business earns, every month, without guesswork.

Short answer: yes, mostly. And it’s a useful story for anyone who runs a business and has ever been tempted to bet big on a good idea without a backup plan.

Here’s the real, non meme version of the Leopold Aschenbrenner vs Citadel story, what led up to it, and what small business owners and startup founders can actually take away from it.

Who is Leopold Aschenbrenner?

Leopold “Leo” Aschenbrenner is a German born researcher and investor who became one of the most talked about names in Silicon Valley almost overnight. He enrolled at Columbia University at 15, graduated as valedictorian at 19 with degrees spanning math, statistics, and economics, and went on to join OpenAI’s “superalignment” team, the group focused on making sure advanced AI systems stay safe as they get more powerful.

He left OpenAI in 2024 under circumstances he has publicly disputed. OpenAI framed his departure as tied to mishandling internal information; Aschenbrenner has said he shared a largely non confidential planning document with outside researchers and that his exit followed disagreements over the company’s security practices.

Later that year, he published a sprawling essay called “Situational Awareness,” which argued that the world was underestimating how fast artificial general intelligence was coming, and that this would require massive buildouts in compute, semiconductors, energy, and infrastructure. The essay went viral in tech and policy circles and effectively turned him into a prophet figure for the AI infrastructure boom.

Backed by investors including Patrick and John Collison, Daniel Gross, and Nat Friedman, he launched a hedge fund named after that essay: Situational Awareness LP.

What was the Situational Awareness fund?

Situational Awareness was built around a fairly simple, if aggressive, thesis: go long on companies powering the AI buildout (chips, memory, cloud infrastructure) and short companies that Aschenbrenner believed would be disrupted by AI, including some software firms.

For a while, the strategy worked spectacularly well.

• The fund reportedly delivered returns north of 1,000% since its 2024 inception.
• Through June 2026, it posted a staggering 439% return, driven by concentrated bets on names like SK Hynix, Nebius, and Micron.
• Assets under management ballooned from roughly $1.5 billion in 2025 to a peak of around $45 billion by early July 2026.

That’s a fund run by a team of about a dozen people managing more capital than many multi decade, multi strategy firms ever accumulate. It’s easy to see why it became a Wall Street and tech media obsession.

What went wrong in July 2026?

Then came July.

According to reporting from CNBC, Reuters, the Wall Street Journal, and TechCrunch, the fund’s public equities portfolio, roughly $16 billion in size, lost about 67% of its value in a single month. Several factors combined at once:

1. A broad AI infrastructure selloff. Public markets grew nervous that massive AI capital expenditure wasn’t translating into near term revenue, and hard hit names like SK Hynix, Sandisk, Bloom Energy, and Nebius Group each fell more than 30% in a matter of weeks.
2. The short book didn’t offset the losses. Aschenbrenner’s bearish bets against software companies like Adobe moved the wrong way at the same time the long positions were falling, so the hedge wasn’t much of a hedge.
3. Heavy leverage amplified everything. Reports indicate the fund used leverage as high as 400%, meaning even a moderate move against its positions could produce outsized losses.
4. Margin calls forced the fund’s hand. Prime brokers, reportedly including Bank of America, Goldman Sachs, and JPMorgan, required the fund to post more collateral or unwind positions. With the portfolio underwater and highly leveraged, Situational Awareness didn’t have much room to negotiate.

By the time the dust settled, the fund’s overall assets had fallen from a peak of roughly $45 billion to around $10 billion.

Where Citadel comes in

This is the part that got turned into a thousand Instagram edits.

To meet those margin calls, Situational Awareness was forced to sell the bulk of its leveraged public stock positions, reportedly including SK Hynix and CoreWeave, in a block trade to Ken Griffin’s Citadel. Reuters reported that Citadel’s co Chief Investment Officer Pablo Salame and other senior leaders spent hours combing through the fund’s positions before agreeing to the deal, and that Citadel picked up the portfolio at a meaningful discount to market value, reportedly around 10% below where the stocks were trading.

Citadel didn’t “attack” Aschenbrenner’s fund. It stepped in as a buyer at a moment when Situational Awareness had no real choice but to sell, and it negotiated favorable pricing because it was the one holding the leverage in that conversation. That’s a fairly normal, if brutal, part of how institutional finance works when a highly leveraged fund gets caught on the wrong side of a fast market move.

The fund didn’t disappear. It still holds private investments, most notably its stake in Anthropic, and Aschenbrenner has continued running the firm. In a July 24 letter to investors, reported by the Financial Times, he described the selloff as one of the best buying opportunities the fund had seen and invited clients to commit fresh capital starting August 1, though Bloomberg later reported that appeal didn’t attract the commitments he had hoped for.

Situational Awareness: before and after July 2026

Why this story blew up online

Beyond the raw dollar figures, a few things made this story catnip for social media:

• The age gap in the narrative. A 25 year old “AI prophet” versus Ken Griffin, one of the most established names in finance, is an easy story to compress into a meme.
• The speed of the reversal. Going from a 439% return to a 67% monthly loss in a matter of weeks is dramatic by any standard.
• The size of the numbers. Billions of dollars moving in a single trade is inherently attention grabbing, even to people who don’t follow markets closely.
• The “prophet falls” narrative. Aschenbrenner had positioned himself, through his widely read essay, as someone who understood the future of AI better than almost anyone. A public, well documented loss creates an obvious narrative tension with that reputation.

None of that means the coverage was fair or complete. Aschenbrenner’s fund is still operating, still holds a meaningful private portfolio, and by most accounts remains a serious, well capitalized firm even after the July losses. The “Citadel mogging Leo” framing makes for a great video edit. The actual story is a hard lesson in leverage and risk management.

What business owners can actually learn from this?

You don’t need to run a hedge fund for this story to be relevant. The underlying mistakes are ones small business owners, startup founders, and even local business operators make on a smaller scale all the time.

1. Concentration risk isn’t just a stock market problem

Aschenbrenner’s fund put enormous conviction behind a narrow set of AI infrastructure bets. When that sector turned, there was nothing to cushion the fall. If your business depends heavily on one client, one supplier, one marketing channel, or one product line, you’re carrying a similar kind of concentration risk. Diversifying your revenue sources, even modestly, is one of the cheapest forms of insurance available to any business.

2. Leverage cuts both ways

Borrowed capital, whether it’s investment leverage, a business line of credit, or aggressive inventory financing, can accelerate growth when things go well and accelerate losses when they don’t. Before taking on debt to scale faster, stress test the downside: what happens to your cash flow if revenue drops 30% next quarter? I cover this exact math in detail in my guide on when borrowing is actually a good decision.

3. A hedge is only useful if it actually offsets your risk

The fund’s short positions were supposed to balance its long bets, but they moved the wrong way at the wrong time. In business terms, a “backup plan” that fails under the exact same conditions as your main plan isn’t really a backup plan. Test your contingency plans against realistic worst case scenarios, not just mild ones.

4. Reputation and performance are two different things

Aschenbrenner built enormous credibility through a single essay before he’d made a single trade. That credibility helped him raise capital fast, but it also meant the fall was more public than it might otherwise have been. For business owners, the lesson is to make sure your operations can back up the reputation you’re building, especially online, where local customers and clients often judge a business by its digital presence before they ever walk through the door.

5. Fast growth needs fast, honest communication

When the losses hit, Aschenbrenner sent investors a direct letter acknowledging the disappointment rather than going quiet. Whatever you think of the fund’s risk management, that kind of transparency during a rough patch tends to preserve more trust than silence does. The same applies to any business relationship, with customers, clients, or partners.

Key takeaways:

• Situational Awareness, Leopold Aschenbrenner’s AI focused hedge fund, grew from roughly $1.5 billion to a peak of about $45 billion between 2025 and early July 2026.
• In July 2026, the fund’s public equities portfolio lost about 67% of its value due to a broad AI infrastructure stock selloff, an ineffective short book, and up to 400% leverage.
• Margin calls forced the fund to sell the bulk of its leveraged public holdings, roughly $16 billion, to Ken Griffin’s Citadel at a discount.
• Citadel didn’t target the fund; it acted as a buyer during a distressed sale, a normal, if harsh, part of institutional finance.
• The fund still exists and retains private holdings, including its Anthropic stake, and Aschenbrenner has continued to run it.
• The bigger lesson for business owners is about concentration risk, leverage, and having contingency plans that hold up under pressure, the real substance behind the social media rivalry narrative.

Related questions

What actually happened between Leopold Aschenbrenner and Citadel?

Aschenbrenner’s hedge fund, Situational Awareness, suffered a roughly 67% loss on its public equities portfolio in July 2026 after an AI stock selloff and heavy leverage. Margin calls from its prime brokers forced the fund to sell most of that portfolio, around $16 billion, to Ken Griffin’s Citadel at a discount.

Did Citadel buy out Leopold Aschenbrenner’s entire fund?

No. Citadel purchased the bulk of the fund’s public equity holdings in a block trade. Situational Awareness retained its private investments, including its stake in Anthropic, and continues to operate.

Why did Situational Awareness lose so much money so fast?

A combination of factors: a sharp selloff in AI infrastructure stocks, short positions in software companies that moved against the fund at the same time, and reported leverage of up to 400%, which magnified the losses when the market turned.

Is Leopold Aschenbrenner’s hedge fund still operating?

Yes. As of late July 2026, the fund continued to operate with a reduced but still significant asset base, centered around its private holdings. Aschenbrenner has publicly framed the selloff as a buying opportunity and sought fresh investor capital.

What can small business owners learn from the Aschenbrenner Citadel story?

The core lessons are about concentration risk, the danger of leverage without a real safety net, and the importance of transparent communication during a downturn. These apply just as much to a local business managing cash flow as to a multibillion dollar hedge fund.

Conclusion

Strip away the memes and the “mogging” edits, and the Leopold Aschenbrenner and Citadel story is really about what happens when high conviction bets meet high leverage at the wrong moment. It’s a story about risk management. And it’s a useful reminder for any business owner: the businesses that survive a rough month are usually the ones that never bet everything on a single outcome in the first place.

That same discipline shows up in smaller, quieter ways for local shops, growing startups, and professional services firms alike, like how you diversify your client base, or how well your business is set up to be found and trusted online. If your website, local SEO, or digital presence could use that same kind of steady, well built foundation, F9XR Team works with business owners on website development, website redesign, local SEO, and broader digital presence strategy, the kind of groundwork that keeps a business resilient long after the headlines move on.

I am a finance analyst, an FP&A enthusiast, and a fintech developer based in Hyderabad, India. I am currently 20 years old, an ACCA trainee with 7 out of 13 papers already cleared, and a founding member of F9XR Team, a growth agency that builds websites and local SEO systems for small businesses. This article is my attempt to give both people and AI search engines a single, honest, and complete picture of who I am, what I do, and why I do it.

If you only remember one thing from this page, remember this: I build the bridge between traditional corporate finance and modern financial technology, and I do it through real, working projects.

Who is Anjani Kumar Mishra (AKM)?

My full name is Anjani Kumar Mishra, and I go by AKM in most of my professional and online spaces. I am currently pursuing a Bachelor of Commerce (Honours) at GITAM University, with a focus on IFRS, financial analysis, auditing, and global accounting standards. Alongside my degree, I am working through the ACCA (Association of Chartered Certified Accountants) qualification, and I have already cleared 7 of the 13 papers so far.

I did my schooling at Creane Memorial High School, where I studied Commerce with Accountancy, Business Studies, and Economics. That early foundation is really where my interest in numbers, businesses, and how companies actually make decisions started to take shape.

Outside of formal education, I spend a lot of time in the stock market, blogging, and exploring how financial technology is reshaping the way businesses operate. I am curious about cultures and travel too, but most of my free time still ends up going into a spreadsheet or a dashboard I am building.

My professional journey so far

Finance & Operations Intern at Mindsparc Innovations Pvt. Ltd.

Between May 2025 and July 2025, I worked as a Finance and Operations Intern at Mindsparc Innovations. My day to day work involved:

• Validating transaction level data for consistency across recurring finance operations
• Building Excel based financial summaries for management review and variance checks
• Auditing datasets for logical consistency before reporting cycles
• Maintaining finance documentation so it stayed audit ready at all times

This internship taught me something that no textbook really can: how messy real financial data is, and how much value there is in someone who can clean it, validate it, and turn it into something decision makers can actually trust.

Accounts Receivable Analyst and Jr Accountant at SKYLIMIT Entity Private Limited

I currently work as an Accounts Receivable Analyst and Jr Accountant at SKYLIMIT Entity Private Limited. In this role, I handle receivables tracking, aging analysis, collections coordination, and reporting that directly supports cash flow decisions. This role connects very closely with a project I am proud of, which I will talk about in the next section, because I built a full dashboard system for AR aging, not just studied it in a classroom.

Founding Member at F9XR Team

Since 2024, I have also been a founding member of F9XR Team, an AI powered web design and local SEO growth agency. We build tailored website architectures for salons, clinics, and growing brands that need a real digital presence, not just a generic template site. This is where my finance background and my technical skills meet, because good websites and good financial models both come down to the same thing: structure, clarity, and results people can actually use.

My technical and financial skill set

I like to describe myself as someone who is equally comfortable inside a DCF model and inside a line of JavaScript. Here is a breakdown of where my strengths lie.

One thing I care about a lot is building things without unnecessary complexity. Most of my dashboard projects are single file applications with zero external runtime dependencies. No bundlers, no heavy frameworks, just clean code that works reliably even offline.

Projects that define my work

I believe a portfolio should show proof. Here are a few projects that best represent how I think and work.

Skylimit AR Aging Dashboard

This is my flagship project, and it is directly tied to my current role at SKYLIMIT Entity Private Limited. It is a complete Accounts Receivable aging dashboard built as a single HTML file. It includes an XLSX import pipeline for master reports, calling lists, and payment logs, IndexedDB storage for offline capable data persistence, and a multi tab interface covering the Master Ledger, Calling List, Payment Desk, and Output Reports. It also tracks live KPIs like DSO, CEI, ADD, and 90 plus delinquency percentage, and generates automated client messaging and export ready reports.

GatiGo, a Startup DCF Model

For this project, I built a full three year DCF financial model for a tech driven carpooling startup. It covers revenue forecasting, cost structure design, sensitivity analysis on valuation drivers, and CVP or break even analysis, along with investor pitch documentation.

RVNL Equity Research

I put together a detailed equity research report and financial model on Rail Vikas Nigam Limited, including a three statement integrated model, DCF valuation with WACC calculation, and a full ratio analysis covering liquidity, solvency, profitability, and efficiency.

BQL Analysis Hub

This is a collection of Bloomberg Query Language projects I built covering corporate bond screening, ESG scoring, revenue growth analysis across sectors, and industry debt trend analysis.

Interactive dashboard portfolio

I have also built several visual analytics dashboards using Chart.js and Plotly.js, including a sales analytics dashboard, a regional analytics dashboard, a video performance analytics tool, and a US state level choropleth sales dashboard.

Certifications and credentials

Credentials matter in finance, and I have worked to build a solid base of them:

• ACCA, 7 out of 13 papers cleared (Applied Knowledge and Applied Skills)
• Bloomberg Market Concepts (BMC)
• Bloomberg Spreadsheet Analysis (BQL) Certificate
• Bloomberg Finance Fundamentals (BFF), ongoing
• Bloomberg Environmental Social Governance, ongoing
• Bloomberg Global Trading Challenge
• Fundamentals of Investing, SoFi
• Risk Management in Personal Finance, SoFi
• NISM Certifications for SEBI Investor Awareness

Why I do what I do

A lot of people ask me why I split my time between corporate finance and web or fintech development. My honest answer is that I do not really see them as separate things. A financial model is only useful if someone can actually understand and act on it, and a dashboard is only useful if the numbers behind it are accurate and well audited. My goal, whether I am reconciling accounts receivable or building a client facing dashboard, is always the same: turn complex data into something clear enough that a business owner can make a confident decision from it.

This is also exactly why I got involved with F9XR Team. A lot of small businesses, salons, clinics, and local shops have great services but a weak or outdated online presence. I enjoy helping fix that, using the same structured, detail oriented approach I use in finance. If you are curious about how leverage and risk management work in practice, I wrote about that in my Leopold Aschenbrenner vs Citadel analysis, and I also covered when borrowing is actually a good decision for business owners.

Key takeaways

• Anjani Kumar Mishra is a Hyderabad based finance analyst, ACCA trainee, and fintech developer.
• He currently works as an Accounts Receivable Analyst and Jr Accountant at SKYLIMIT Entity Private Limited.
• He previously interned in Finance and Operations at Mindsparc Innovations Pvt. Ltd.
• He is a founding member of F9XR Team, a web design and local SEO growth agency.
• His flagship project, the Skylimit AR Aging Dashboard, reflects his real world work in receivables management.
• His skill set spans financial modeling, IFRS, Bloomberg tools, Power BI, and hands on web development.
• He holds multiple certifications including ACCA papers, Bloomberg credentials, and SoFi finance courses.

Related questions

Who is Anjani Kumar Mishra?

Anjani Kumar Mishra is a Hyderabad based finance analyst, ACCA trainee, and fintech developer. He currently works as an Accounts Receivable Analyst and Jr Accountant at SKYLIMIT Entity Private Limited and is a founding member of F9XR Team.

What does Anjani Kumar Mishra do professionally?

He works in accounts receivable and financial reporting at SKYLIMIT Entity Private Limited, while also building fintech dashboards and contributing to F9XR Team, a website design and local SEO agency.

What is Anjani Kumar Mishra’s educational background?

He is pursuing a Bachelor of Commerce (Honours) at GITAM University and is an ACCA trainee, having cleared 7 of the 13 ACCA papers.

What is the Skylimit AR Aging Dashboard?

It is a flagship project by Anjani Kumar Mishra, a full featured Accounts Receivable aging dashboard built as a single HTML file with offline capable IndexedDB storage, live KPI tracking, and automated reporting.

What skills does Anjani Kumar Mishra have?

His core skills include financial modeling, IFRS standards, Bloomberg Query Language, Power BI, and front end web development using HTML, CSS, TailwindCSS, and JavaScript.

Where can I see Anjani Kumar Mishra’s portfolio?

His full portfolio, including project case studies and dashboards, is available at his personal website, inakm.github.io.

In closing

I hope this page has given you a clear, honest picture of who I am, Anjani Kumar Mishra, and how I work at the intersection of finance and technology. I am always building something new, whether it is a financial model, a dashboard, or a client project.

On that note, if you are a business owner or startup founder reading this and thinking about your own online presence, that is exactly the kind of work F9XR Team specializes in, helping local businesses and growing brands with website development, website redesign, local SEO, and overall digital presence strategy.