Sameer Khadka

Blogs

Remembering Yesterday, Chasing Tomorrow

In Arthur Schopenhauer’s essay “The Vanity of Existence,” there is a haunting passage about the human experience that transcends generations. It has not only stood the test of time but is perhaps even more relevant today than when he wrote it in 1851.

He wrote:

"We are always living in expectation of better things, while at the same time we often repent and long to have the past back again. We look upon the present as something to be put up with while it lasts, and serving only as the way towards our goal. Hence most people, if they glance back when they come to the end of life, will find that all along they have been living ad interim: they will be surprised to find that the very thing they disregarded and let slip by unenjoyed was just their life-that is to say, it was the very thing in the expectation of which they lived. Of how many a man may it not be said that hope made a fool of him until he danced into the arms of death!"

-Arthur Schopenhauer

"We are always living in expectation of better things.... we often repent and long to have the past back again."

Is this true for us? We have become so obsessed with the future with making tomorrow better that we forget today. Then, when we finally get there, we begin revisiting the past: the tragedies, the beautiful moments, and the experiences we failed to notice while we were living them.

Do we ignore the smaller joys at the present for the possibility of something bigger? Do we mistreat ourselves today for the promise of a better tomorrow?

"We look upon the present as something to be put up with while it lasts, and serving only as the way towards our goal..."

Are we treating the present moment passively, as merely a temporary stepping stones towards our future goals?

"Most people, if they glance back when they come to the end of life, will find that all along they have been living ad interim..."

We often realize this only in the future, when we look back at the past with nostalgia. Because we view the present as “something to be put up with,” we fail to actually live it. This is the illusion of living ad interim.

"They will be surprised to find that the very thing they disregarded and let slip by unenjoyed was just their life-that is to say, it was the very thing in the expectation of which they lived."

When we reach the end of our time and look back, we then experience a deadly realization. We discover that life was never a race or a destination to be reached. It was the collection of ordinary, daily moments: the small actions and minor joys that we completely ignored and allowed to slip by unenjoyed.

"...hope made a fool of him until he danced into the arms of death."

Are we currently hoping of something or someone in the future that we are ignoring the present moment.?

Hope, in this case, is nothing more than blind optimism. It is not a virtue; it is an evolutionary trick driven by irrational will to live. This "hope" keeps us constantly striving and suffering in the present for tomorrow that never delivers true satisfaction.

Today, we have gone a step further: we have hyper-optimized this way of living. We do not simply “put up with” the present; we aggressively sacrifice it. We trade sleep, mental health, and relationships for future career milestones or financial targets.

In our modern era, I think the technology has amplified this trap exponentially. We sit at a beautiful concert, watch a sunset, or stand on a mountain peak, and view it through the phone screen to record it for a future. What a paradox. We save the present moment so that we can look back at it later, completely refusing to inhabit it right now. Human nature is simply so absurd.

I think this explains the modern human condition in so many ways. The belief that reaching a goal will bring lasting happiness is a psychological trap; one that causes us to defer our present lives to an imaginary future.

Do what you are doing-whether cutting apples, running, washing dishes, writing, caring of people, or inventing something.

Be where you are.

Be present...

It is all there is...

The Beautiful Silence: The Sovereignty of the Absurd

"We are born without reason, we suffer without meaning, and we die without purpose. The universe doesn’t know we exist and it never cared." - Albert Camus

It’s a heavy thought to wake up to, isn't it? On the surface, it feels like the ultimate cosmic rejection. We spend our lives looking for "signs," seeking a grand destiny, or hoping the stars have a plan for our Tuesday afternoons.

Then comes the philosophy of the Absurd with a bucket of cold, existential water. It suggests that the universe isn't just ignoring our calls; it doesn't even know we have a phone. But if we look closer, this bleak realization contains a hidden, radical kind of joy.

The Void is a Blank Canvas

If the universe has no inherent meaning, we are faced with two choices: despair or rebellion. Camus famously championed the latter. If there is no pre-written script for your life, you aren't an actor following lines; you are the author.

The lack of a "grand purpose" isn't a prison sentence; it’s a get-out-of-jail-free card.

Why Cosmic Indifference is Liberating

When we stop waiting for the universe to validate our existence, the landscape of our lives shifts:

  • The Pressure Vanishes:  If there’s no "correct" way to live according to the cosmos, you can’t actually fail at being human. Your worth isn't measured against a celestial standard.
  • Small Joys Become Sovereign:  A perfectly brewed cup of coffee, a sharp joke, or the smell of rain doesn't need to "mean" something to be valuable. Their value exists simply because you are there to experience them.
  • Radical Responsibility:  We become the sole architects of our own ethics. We aren't kind because a cosmic force told us to be; we are kind because we choose to bring warmth into a cold room.

The Sisyphus Strategy

Camus often used the myth of Sisyphus (a man condemned to roll a rock up a hill for eternity, only for it to roll back down) as a metaphor for the human condition. His conclusion? "One must imagine Sisyphus happy."

Why? Because Sisyphus owns his rock. He knows the struggle is ultimately futile in the eyes of the gods, yet he continues. In that persistence, he finds a victory the universe cannot take away.

We may be tiny specks on a pale blue dot, ignored by the vastness of space, but that gives us the rarest gift of all: the freedom to define ourselves. The universe doesn't care, and that is exactly why we are free to care about whatever we choose.

Renting Illusion

Franz Kafka captured something unsettlingly true when he wrote, “Reality is too heavy for people, so they rent illusion and call it happiness.”

There is a harsh wisdom in that line.

Most people do not avoid reality because they are weak-minded. They avoid it because reality is heavy. It asks us to face things we do not want to face: uncertainty, emptiness, limitation, loneliness, failure, and the possibility that many of the meanings we rely on are fragile. Illusion feels lighter. It gives comfort without demanding transformation. It lets us feel safe without requiring us to become strong.

That is why illusion is so attractive. We rename things so they become easier to bear. We call distraction peace. We call comfort fulfillment. We call approval love. We call escape freedom. In this way, illusion becomes a temporary shelter. It helps us avoid the full weight of truth, and because it softens reality for a while, we mistake that relief for happiness.

But illusion always comes with a hidden cost.

What is false cannot carry us forever. It has to be protected, repeated, and defended. The more we depend on it, the more fragile we become, because deep down we know it is not solid. That is why so much modern happiness feels unstable. It depends on keeping certain truths far enough away that they do not interrupt the performance.

Real happiness has to be stronger than that.

It cannot be built only on pleasant stories. It has to survive contact with reality. It has to be able to stand inside truth, even when truth is uncomfortable, and still not collapse. Otherwise, what we call happiness is only borrowed relief. It is rented, not owned.

The harder path is not to find a better illusion. It is to become honest enough to live without one. Because what is rented can always be taken away. Only what is built on truth has the strength to remain.

The Rise of the New Normal

There is always conflict somewhere in the world. But lately, it feels like the scale is changing. Russia and Ukraine. Israel and Palestine. Afghanistan and Pakistan. And now the growing tension involving the United States, Israel, and Iran. And maybe in future China and Taiwan...

What unsettles me is not only the violence itself, but how quickly human beings adjust to it. The meaning of normal does not stay fixed. It stretches. It absorbs. It rises each time the world shocks us. What once felt unbearable slowly becomes familiar. What once felt like a historic rupture becomes part of the background of ordinary life.

When Russia attacked Ukraine in 2022, the world stopped and stared. For many people, it felt like something unthinkable had returned. Every death seemed to matter. Every image carried moral weight. The war touched everything: emotion, food, inflation, markets, energy, daily life. It was not distant in the way wars often appear to be. It entered the psychology of the world.

But time passed. People returned to work. They resumed routines. They worried about rent, school, health, and family. The war remained, but attention weakened. The shock lost its edge. Slowly, what was once unthinkable became something people learned to live alongside. It became, in a quiet and disturbing way, normal.

Then came the devastation in Gaza through the Israel and Palestine conflict. Again, there was outrage. Again, there was grief. Again, there were images that seemed impossible to ignore. But once more, time did what time often does. It dulled the force of repetition. The deaths continued, but the human mind, unable to remain in a permanent state of alarm, began adjusting again. And the threshold of what the world could absorb rose one more level.

Now tensions around Iran seem to be pushing that threshold even further. And it leaves me asking a question I do not want to ask: is this how World War III begins?

Perhaps great wars do not begin with one final explosion. Perhaps they begin in the human mind much earlier. Not with a single event, but with repeated exposure. Not when the first missile is fired, but when people slowly become used to hearing about missiles at all.

If a full global war arrived all at once, people everywhere would recoil. They would panic. They would lose faith in the systems that claim to preserve order. The shock would be too direct. But smaller conflicts are different. Human beings can adapt to increments. A step at a time, the unacceptable becomes tolerated. Then tolerated becomes expected. Then expected becomes normal.

That is what frightens me. Maybe the greatest danger is not only war itself, but the way war trains the mind to accept more war. The default state of the world shifts upward, little by little, until crisis no longer feels like crisis. It simply feels like reality.

I hope this fear is wrong. I do not want a third world war. But I cannot ignore what seems to be happening around us. The bar keeps rising. The world keeps adjusting. And people keep learning how to live beside what should have never become ordinary.

Maybe that is how disaster enters history, not as a sudden monster, but as a series of tolerable changes.

Software In The Age Of AI

Artificial intelligence is often described as the next great engine of software growth. It writes code, answers questions, automates support, summarizes documents, and reduces friction across digital work. For years, that promise made AI sound like an upgrade for the software industry. But a different reality is now coming into view: in some parts of the sector, AI is no longer just enhancing software companies. It is beginning to hurt them.

The damage does not look the same everywhere. In some companies, AI is reducing traffic. In others, it is weakening pricing power, shrinking the need for certain teams, or making investors question whether older software models still deserve premium valuations. The disruption is not always dramatic at first. Sometimes it begins quietly, with fewer clicks, lower engagement, slower growth, or a restructuring memo that says the company must “reallocate resources” toward AI.

Chegg is one of the clearest examples. Its management explicitly linked falling traffic and revenue to the rise of AI answers and Google’s AI Overviews. By full-year 2025, Chegg’s revenue had fallen 39% year over year, and earlier in 2025 it said its non-subscriber traffic had plunged 49% in January. That matters because Chegg’s old advantage depended on people coming to its platform to find answers. Once the answer appears directly inside an AI interface or search result, the visit itself becomes unnecessary. The software did not just face more competition. Its route to the customer was weakened.

Stack Overflow shows a subtler version of the same problem. The company has openly said that AI’s ability to provide direct answers is reducing traditional web traffic. Yet the irony is that developers still need human-verified knowledge, especially when AI gets things almost right but not fully right. Stack Overflow’s own survey data shows that many developers now visit because of AI-related issues, while trust in AI tools is slipping. That creates a strange new position: AI is taking away the easy traffic, while leaving behind the harder questions. The platform becomes more necessary in one sense, but less naturally discoverable in another.

Then there is the internal pressure inside software companies themselves. Atlassian’s March 2026 restructuring is a good example. The company said it was reorganizing to self-fund faster investment in AI and enterprise sales, while Reuters reported that about 1,600 jobs were being cut. This is an important shift. Even when AI does not destroy demand for a company’s product, it can still force a downturn in parts of the company’s structure. Teams, roles, and budgets that made sense in the pre-AI software model suddenly begin to look too expensive or too slow.

Investors are reacting to this uncertainty as well. In February 2026, Reuters reported that U.S. software and data-services stocks had been hit by a broad selloff tied to fears that AI tools could upend the sector, erasing about $1 trillion in value from the S&P 500 software and services index in a week. Adobe’s shares also came under pressure amid concern about generative-AI competition, while other names such as UiPath were judged against a harsher question: in an AI-heavy market, is this software company becoming more essential, or more replaceable?

What is happening here is bigger than a few bad quarters. AI is changing the shape of software value. If a product mainly organizes information, generates standard outputs, or sits between the user and an answer, AI may compress that value very quickly. If a company depends heavily on search traffic, repeatable knowledge work, or premium pricing for features that AI can imitate, the pressure becomes even more severe. The software industry is discovering that not every digital advantage is defensible once intelligence becomes cheap, fast, and embedded everywhere.

AI will not destroy software as an industry, but it is forcing a harsher selection process. The companies most likely to endure are those with trusted data, complex workflows, and high-consequence use cases. ServiceNow, for example, is protected by how deeply it sits inside enterprise operations. Intuit is protected by financial data, compliance-heavy workflows, and trust in moments where mistakes are costly. Oracle and Salesforce are making a similar case: when software is embedded in mission-critical systems and tied to proprietary data, it is harder for AI to commoditize. What becomes vulnerable are the companies built on lighter convenience, searchable answers, and easily replicated outputs. In that world, AI is not just another feature. It is a force that changes what software is worth.

The old fear was that AI would replace workers. A deeper fear is now emerging: AI may also replace parts of the software industry that once looked secure. And the companies most at risk may not be the weakest companies, but the ones whose value was easiest to imitate once the answer became more important than the application.

Kleptocracy: How It Wins Public Support and Why It Matters in America

When people hear kleptocracy, they picture obvious corruption: dictators, suitcases of cash, offshore accounts. But the more durable form is subtler. A kleptocracy is a system where political power is used primarily to extract wealth and privileges for insiders—while maintaining enough legitimacy that most people tolerate it.

The core lesson isn’t “kleptocrats steal.” Everyone knows that. The real lesson is this: kleptocracy survives by earning consent sometimes genuine, often manufactured through a predictable playbook.

What Kleptocracy Actually Is (Beyond the Meme)

Kleptocracy isn’t just bribery. It’s a governing logic:

  • Laws and regulations become tools to transfer value upward.
  • Public institutions become channels for patronage.
  • Enforcement becomes selective.
  • The system retains legitimacy through order, benefits, and narratives.

In modern contexts, kleptocracy can exist without a single “villain.” It can be institutional built into incentives, lobbying pipelines, procurement systems, and rule complexity.

How Kleptocracy Gains Public Support

1) Create power asymmetry
Make accountability hard: complex rules, selective enforcement, legal shields, and insider access. Resistance becomes expensive; extraction becomes safe.

2) Redistribute just enough to look generous
Take a lot, return a visible slice through benefits, projects, jobs, and targeted relief. People feel helped—and often become dependent on the pipeline.

3) Sell “order” as the top priority
When people fear chaos, they’ll trade oversight for stability. “Only we can keep you safe” becomes a license to expand power.

4) Build an ideology that justifies it
Wrap extraction in a story: security, patriotism, morality, growth, or “our side must win.” Critics get framed as enemies, not watchdogs.

The Modern Version: Theft Without Suitcases of Cash

In advanced democracies, kleptocracy often looks like:

  • regulatory capture
  • revolving doors
  • insider contracts
  • monopoly-friendly policy
  • complexity that hides winners and losers

Why It’s Relevant in America Today

America is not a pure kleptocracy. It has real checks: competitive elections, courts, investigative journalism, and civil society. But the risk is always present because the underlying incentives exist in any large, complex system.

Kleptocracy is less about villains and more about systems that make extraction profitable and accountability expensive. It wins public support by offering a blend of protection, benefits, identity, and fear enough to keep opposition divided and the majority passive.

The challenge for any democracy, including America, is staying vigilant about the incentives that quietly convert public institutions into private advantage.

Transparency isn’t enough if the public can’t act on it. The real defense is systems that make accountability easy and extraction hard.

Peter Lynch’s 6 Stock Categories, Explained (With a 2026 Watchlist)

Peter Lynch’s One Up on Wall Street gives retail investors a practical framework that still holds up: classify a stock by “what kind of business it is right now,” then match your expectations, valuation discipline, and monitoring checklist to that category.

The core idea is simple: a great company can still be a bad stock if you evaluate it with the wrong lens. A cyclical isn’t a fast grower. A turnaround isn’t a stalwart. When you know the category, you know what matters.

Below is a clear definition of each category, how to think about it in the current market (Jan 2026), and a curated research watchlist.

1. Slow Growers

What they are

Mature companies with low single-digit growth; often driven by population growth, pricing, and modest share gains. They tend to return cash via dividends and buybacks. You typically buy them for stability and yield, not to “10x.”

What to watch

  • Dividend safety and payout discipline
  • Pricing power vs. input cost inflation
  • Volume trends (are they shrinking?)
  • Balance sheet resilience

Current watchlist ideas (2026)

PG, KO, PEP, KMB, CL, GIS, K, CPB, KHC, MO, PM, VZ, T, SO, DUK, AEP, XEL, ED

Example: PG

Why it fits: PG is a classic slow grower: dominant consumer brands, steady demand, and a shareholder-return profile where the bulk of long-term return often comes from dividends + modest earnings growth rather than explosive expansion.
What to watch (practically): pricing vs. volume (are price hikes sticking without volume erosion?), commodity/input-cost pressure, and dividend coverage through free cash flow.

2. Stalwarts

What they are

Large, durable franchises that still grow at a respectable rate; often mid to high single digits (sometimes more). These businesses usually have scale advantages, diversified revenue streams, and strong balance sheets. They are the “good companies at a fair price” bucket.

What to watch

  • Consistency of earnings/FCF through the cycle
  • Competitive moat durability
  • Capital allocation (buybacks, reinvestment, M&A discipline)
  • Valuation relative to normalized growth

Current watchlist ideas (2026)

MSFT, AAPL, GOOGL, AMZN, META, JNJ, UNH, MRK, ABT, TMO, COST, HD, MCD, JPM, V, MA, SPGI, ICE, HON, RTX, LMT, XOM, CVX, LIN

Example: Microsoft (MSFT)

Why it fits: MSFT is a textbook stalwart: massive scale, diversified revenue engines (cloud, productivity, enterprise software), and resilience through cycles. It still offers meaningful growth but typically with lower business risk than “pure” fast growers.
What to watch: Azure growth durability, operating margin trend (especially with AI capex), and whether buybacks/dividends remain consistent through investment cycles.

3. Fast Growers

What they are

Companies compounding revenue and/or earnings at high rates often 15–30%+ with a long runway. This is where “ten baggers” come from, but it is also where expectations are most punishing: if growth slows, the stock can compress hard.

What to watch

  • Growth  quality : retention, expansion, unit economics
  • Operating leverage and path to durable margins
  • Free cash flow conversion
  • Competitive pressure and pricing durability

Current watchlist ideas (2026)

CRWD, PANW, ZS, FTNT, OKTA, S, NET, NOW, DDOG, SNOW, MDB, TEAM, WDAY, HUBS, MELI, SHOP, ARM, ANET, VRT, SMCI

Example: ServiceNow (NOW)

Why it fits: NOW fits the fast-grower profile because it has a long runway in enterprise workflow automation, strong recurring revenue characteristics, and historically high expectations embedded in the valuation—exactly the Lynch warning zone where execution matters every quarter.
What to watch: subscription growth, large-deal momentum, net retention/expansion, and free cash flow conversion as the company scales.

4. Cyclicals

What they are

Businesses whose earnings rise and fall sharply with economic and industry cycles: industrials, autos, housing, travel, commodities, and parts of semiconductors (especially memory). For cyclicals, timing and balance sheet often matter as much as “business quality.”

What to watch

  • Where you are in the cycle (demand, inventories, pricing)
  • Capacity additions and industry discipline
  • Leverage and liquidity through downturns
  • “Peak vs. trough” earnings; avoid paying peak multiples on peak earnings

Current watchlist ideas (2026)

CAT, LYB, ALB, DE, URI, DHI, LEN, PHM, NVR, GM, F, DAL, UAL, BKNG, MAR, FCX, NUE, AA, MU, WDC, STX, SLB, HAL, OXY

Example: Micron (MU)

Why it fits: Memory semiconductors are among the most “Lynch-cyclical” industries. Profitability swings meaningfully with supply/demand and pricing, so the best opportunities often come when the cycle is depressed and improving—not when earnings look perfect.
What to watch: DRAM/NAND pricing trends, inventory levels across the supply chain, capex discipline (industrywide), and guidance inflections.

5. Turnarounds

What they are

Companies that have been punished due to execution, strategy, balance sheet stress, or temporary issues and might recover. The goal is not “perfect growth,” but a shift from “bad” to “less bad” that causes a re-rating. Outcomes can be asymmetric: big upside if the fix works; real downside if it fails.

What to watch

  • Liquidity runway (cash, debt maturities, covenant risk)
  • A credible fix with measurable milestones
  • Early signs: margins stabilizing, cash burn improving, operational KPIs trending
  • Catalysts: leadership change, restructuring, asset sales, product inflections

Current watchlist ideas (2026)

INTC, ADBE, CRM, BA, MMM, WOLF, PYPL, DIS, PARA, WBD, PTON, NKE, SBUX, RIVN

Example: Intel (INTC)

Why it fits: INTC is a clear turnaround archetype: the thesis hinges on execution milestones (process roadmap, product competitiveness, foundry strategy) rather than steady compounding. If the fix works, the re-rating can be large; if not, you can get trapped.
What to watch: measurable execution markers (node progress/yields, product competitiveness), capital intensity vs. returns, and whether margins/FCF stabilize as strategy matures.

6. Asset Plays

What they are

Stocks where the market is underpricing valuable assets on or off the balance sheet: stakes in other companies, real estate, infrastructure, brands, subsidiaries, or “sum-of-the-parts” value. What makes an asset play work is usually a catalyst that forces price discovery; spin-offs, sales, breakups, recapitalizations, or buybacks at deep discounts.

What to watch

  • Clear NAV/sum-of-parts logic with conservative assumptions
  • Management incentives aligned with unlocking value
  • Catalysts with timelines (or at least plausible paths)
  • Hidden liabilities that offset the “asset value”

Current watchlist ideas (2026)

BRK.B, BN, BAM, KKR, APO, CG, L, ET, EPD, ENB, KMI, WMB, O, AMT, EQIX

Example: Brookfield (BN)

Why it fits: BN is a common asset-play setup because investors often analyze it using net asset value / sum-of-the-parts logic across a portfolio of real assets and operating platforms. The “edge” is spotting when the market price implies a discount to underlying asset value and having a credible pathway for value realization.
What to watch: NAV vs. market price, monetization events (sales/spins), fee-bearing capital growth where relevant, and whether leverage obscures the true asset value.

Note: This is an educational framework and research watchlist; not investment advice.