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21 posts tagged with "strategy"

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When AI Features Create Moats (and When They Don't)

· 9 min read
Tian Pan
Software Engineer

A leaked internal Google memo put it plainly: "We aren't positioned to win this arms race and neither is OpenAI." The author's argument was that fine-tuning a model with LoRA costs roughly $100, that open-source communities could replicate closed-model capabilities within months, and that "we have no moat." This was a Google researcher writing about Google. If that's true inside the world's best-resourced AI lab, what does it mean for your product team betting on a data advantage?

The honest answer is that most AI features are not moats. They are rented capabilities with a UI. But some genuinely compound — and the difference is not about how much data you have. It's about the specific mechanical conditions under which data actually creates defensibility.

Revisiting Trade-offs: Think Like a Fox, or Focus Like a Hedgehog?

· 4 min read

There is an ancient Greek parable that says: "The fox knows many things, but the hedgehog knows one big thing."

In the business world, the vast majority of entrepreneurs are foxes. They are agile thinkers, constantly scanning for the next wind of change. Today it’s AI, tomorrow it’s global expansion, the day after it’s tapping into lower-tier markets. They appear to know everything and be capable of anything, yet they often end up exhausted with mediocre returns.

Conversely, companies that successfully cross the chasm from good to great are often hedgehogs. They may appear slow, but they stare intently at that "one big thing," simplifying complex strategies into a single, core logic.

This is the "Hedgehog Concept" proposed by Jim Collins. To find that "big thing" that belongs to you, you must fundamentally embrace trade-offs. You must find the intersection of the following three circles.

1. What are you deeply passionate about? (What you want to do)

Collins notes: "The Hedgehog Concept is not a goal to be the best, a strategy to be the best, an intention to be the best, a plan to be the best. It is an understanding of what you can be the best at."

This becomes critical when a company reaches the eight or nine-year mark.

  • Beyond Responsibility—The Drive: Many founders survive the early days on a sense of "responsibility," but responsibility isn't inherently fun. Once survival is no longer the primary issue, only genuine "desire" can sustain you for the long haul.
  • Don't Build a "Schizophrenic Strategy": I once met an outsourcing agency boss in San Francisco. To earn headcount fees, he spent his days responding to every bizarre customization request from clients (this was his business). Yet, in his dreams, he wanted to build a standardized SaaS product (this was his passion). This misalignment is fatal: Outsourcing relies on "addition" to satisfy specific client needs, while building a product requires "subtraction"—finding the common denominator and refusing customization.

2. What can you be the best in the world at? (What you can do)

This is the most brutal circle of the Hedgehog Concept, and the most easily misinterpreted.

  • Competence \neq World-Class Capability: As I always emphasize, all capabilities are relative. Having a tech team doesn't mean you can build a successful SaaS business. Having a sales team doesn't mean you can dominate field sales.
  • The Standard is "Winning the Endgame": True capability is defined by a simple question: When facing the strongest competitor in the industry, can you win? If you cannot enter the top three in your specific niche, you do not possess a "core capability."
  • Beware of "Borrowed Capability": Many attempt to "borrow" capability by hiring executives from big tech giants. But as Collins suggests, excellence is built, not bought. These executives are often like the "blind men touching an elephant"—they have seen only a part of the whole. Removed from their original platform (the elephant), their partial skills often fail to replicate success in a new environment.

3. What drives your economic engine? (What is feasible)

  • Value Judgment: This isn't just about where the money is; it's about long-term value. Have you found a logic for sustainable, growing cash flow?
  • Dynamic Spiral Ascent: Strategy is not static. You see a small opportunity (feasible), you hone your skills (capable), and as your capabilities grow, you see larger opportunities, which in turn ignite bigger dreams (passion). This is a process of spiral ascent where corporate capability and strategic vision evolve in sync.

Conclusion: Finding the Tiny Intersection

The essence of the Hedgehog Concept lies in "subtraction."

  • If you have passion and an economic engine, but cannot be the best in the world, you are merely a mediocre participant who will eventually be eliminated.
  • If you are the best in the world and have an economic engine, but lack passion, you are running a money machine. You will likely quit the moment the grind becomes difficult.
  • If you have passion and are the best in the world, but lack an economic engine, you have an expensive hobby.

The essence of strategy is not just to be as sharp as a fox, spotting opportunities everywhere, but to be like a hedgehog: when tempted, to decisively curl up and fiercely guard that tiny, unique intersection of the three circles.

That intersection is what you should be doing.

How Startups Survive and Thrive Among Giants: Strategic Wisdom from History

· 5 min read

In the brutal battlefield of business competition, small startups face enormous challenges, especially when competing against resource-rich large companies. However, some historical conflicts, particularly cases where seemingly weaker forces confronted powerful opponents, provide us with valuable strategic insights. A typical example is China's resistance during the Second Sino-Japanese War, where tactics and strategies can be borrowed by modern startups.

How Startups Survive and Thrive Among Giants

Advantage? Disadvantage? A Story

In 1941, Japan found itself in an unprecedented predicament, even more challenging than Chiang Kai-shek's retreat to Chongqing. Although Chiang Kai-shek suffered a series of major setbacks in 1937—North China fell, the Battle of Shanghai was lost, Nanjing fell, and a horrific massacre occurred—these blows indeed left him mentally devastated.

However, the Japanese army, as a modernized force, was severely constrained by logistical supplies. Before each large-scale battle, a long preparation period was required. Tens of thousands of tons of military supplies had to be transported from arsenals in Northeast China or Japan, moved by rail to the station closest to the battlefield, and then transferred to the front lines by pack animals.

The Japanese army was one of the least mechanized among the countries participating in World War II. Their mobility heavily relied on mules and horses, and even though they purchased some trucks from the United States, they quickly broke down on China's rugged roads. Historical photos show that, unlike the ubiquitous trucks in American and German military photos, Japanese photos mostly feature donkeys and mules. According to Japanese memoirs, the road conditions were so poor that the bumpiness could even shake off car lights.

These logistical constraints limited the Japanese army's operational range to areas within a three-day "mule journey" from the railway lines. Once beyond this range, supplies couldn't keep up, and the troops would be in extremely dangerous situations. This explains why all 22 major battles during the Sino-Japanese War occurred within 200 kilometers of China's railway lines. The Japanese occasionally ventured beyond this range but quickly retreated. Railways were like lifelines for the Japanese army, with the 200-kilometer surrounding area forming their "comfort zone" and actual control area.

By 1939, the war had reached a relatively stable three-way standoff, with each side waiting for a key turning point:

The Japanese controlled major cities and railway lines but were unable to expand inland due to logistical constraints; the Nationalist government forces were entrenched in towns, defending against the Japanese while also wary of Communist expansion; the Eighth Route Army engaged in guerrilla warfare in rural areas, using this period to accumulate strength and grow.

Particularly the Eighth Route Army, they identified the Japanese weakness of "being unable to fight far from the railway" and adopted a strategy of encircling cities from the countryside. By developing guerrilla warfare in the vast rural areas outside Japanese control, they gradually established their bases. Although poorly equipped at the time, this force continuously improved its combat capabilities through actual combat, laying the foundation for large-scale operations later.

The effectiveness of this strategy was later confirmed: by 1945, this guerrilla force had developed the combat capabilities of a modern army, and by 1948, it could conduct large-scale encirclement and annihilation battles. This combat capability was even demonstrated in the later Battle of Chosin Reservoir, where they nearly surrounded the U.S. 1st Cavalry Division. If not for a large airlift bridge built by the Japanese that allowed the U.S. forces to retreat, the outcome might have been very different.

Inspiration for Startups

Leveraging Geography and Flexibility

During the Sino-Japanese War, Chinese guerrillas used terrain and their flexibility to counter the Japanese army's scale and technological advantages. This tactic translates to business competition as startups needing to leverage their flexibility and ability to quickly adapt to changes. Compared to large enterprises, small companies can experiment and adjust strategies more quickly, which is crucial for survival in a competitive market.

Capturing and Holding Niche Markets

Just as guerrillas gradually expanded their influence in towns, startups should focus on niche markets, establishing a strong market position by offering innovative and highly specialized products or services. Once they have a foothold in these niche markets, they can gradually expand into broader markets.

Long-term Endurance and Strategic Vision

Yan'an's strategy was one of continuous infiltration and patient waiting until the situation became favorable. For startups, this means having visionary strategic planning and enduring patience to gradually build competitive advantages. Success is often not achieved overnight but requires time and sustained effort.

Utilizing Information Asymmetry

Guerrillas used geographical and intelligence advantages to make it difficult for the technologically and numerically superior Japanese army to leverage its advantages. Startups can use their deep understanding of the market and quick response to consumer needs to develop truly innovative solutions, something large companies might struggle to do due to their size.

Continuous Building and Improvement

The evolution from militia to modern army tactics reminds us that startups also need continuous technological innovation and business model optimization. From quickly capturing the market to building a mature business operation model, each stage requires continuous learning and adaptation.

Conclusion

These historical lessons show that even with limited resources, through strategic planning and innovation, identifying and capturing advantageous markets, and continuously improving the company and products, startups can indeed find a place in competition with large companies. As history's wars have shown us, sometimes the small and agile can achieve victory in confrontation.

Four Steps to Rational Decision-Making

· 3 min read

Ordinary people have few opportunities to make decisions in life and work, and it is also difficult to practice and improve their decision-making skills. Most people's decisions rely on intuition, while rational decisions depend on processes. The book "Decisive" proposes a four-step process for rational decision-making — to increase the probability of making the best decision, we need to 1. broaden options, 2. test assumptions with facts, 3. step outside ourselves to see ourselves, and 4. prepare for wrong decisions.

1. Broaden Options

People mistakenly think that making a choice is as simple as answering multiple-choice questions on an exam, selecting one from three or five options. However, the world is vast, and options are not limited to just a few. For example, an advertising design company may develop multiple design proposals simultaneously and combine useful elements into the final design outcome after each round of feedback. This not only increases work efficiency but also saves time costs in decision-making. Additionally, one can refer to the base rates of others' choices in similar situations. Sam Walton, the founder of Walmart, closely monitored competitors throughout his career to adjust decisions in a timely manner. As decision-makers, we should find the best solutions by creating more options and referencing others' choices.

2. Test Assumptions with Facts

If practice is the only criterion for testing truth, then conducting experiments before making final decisions can relatively accurately estimate whether an idea will work. Many companies have evolved from hiring employees solely through interviews to requiring them to go through short trial periods, precisely to avoid the limitations of interviews and increase decision accuracy. A friend of mine tried staying overnight in a house before buying it and discovered that he could hear the train's horn, thus avoiding a significant mistake at a low cost.

3. Step Outside Ourselves to See Ourselves

When decision-makers become too immersed in their own viewpoints, they often overlook external perspectives. Therefore, to assess the potential outcomes of a decision, one should investigate the objective circumstances underlying the decision. Consider evaluating options from a broader temporal and spatial perspective, such as Andy Grove pretending to be the new CEO entering through the front door and cutting the memory chip business; Kai-Fu Lee hypothesizing that tomorrow's headlines will report on his two choices — one being emotional but unjust, the other just but unfeeling, and then choosing to be just as a leader; Jeff Bezos imagining himself at 80 looking back, using the "regret minimization framework."

4. Prepare for Wrong Decisions

When considering the outcomes of decisions, you should contemplate both the best and worst-case scenarios to understand your position. If the situation approaches the worst outcome, you can respond in a timely manner. Additionally, you can establish signals that make you aware of your actions, thereby weakening the inertia of behavior and correcting decisions promptly. Notably, to increase the speed of decision-making, Bezos believes that decisions are inherently unequal and should never be treated equally — reversible decisions should use lightweight decision-making processes.

Charles Handy: The Second Curve

· 2 min read

When you know where to go, it is often too late; if you always stick to the original path, you will miss the road to the future.

Charles Handy illustrates this with the analogy of "David's Bar": on the way to "David's Bar," you should turn right up the hill when you are half a mile away. However, by the time he realized he was going the wrong way, he had already arrived at "David's Bar."

Growth curves are typically S-shaped, which we refer to as the S curve. To keep the growth rate consistently high, you must invest time and resources to develop a second S curve while there is still time.

Intel's CPUs, Netflix's video streaming, Nintendo's games, and Microsoft's cloud services are all excellent examples of businesses driven by this second curve.

How can you discover and seize the second curve? You need to input more information, discern good from bad, and identify opportunities. Then, once the opportunity arises, having a strong team to tackle the hard work is essential to determine whether you have truly found the second curve.

The reasons that made you successful in the past may not lead to future success; growth always has its limits. The second curve theory helps us reflect on why and how to embrace change for a better life.

The Company's Technology and Market Quadrant Diagram and Gravitational Directions

· 5 min read

Technology

Technology

Market

Market

Leaders

Leaders

The Innovator's Dilemma

The Innovator's Dilemma

Challengers

Challengers

Dragonslayers

Dragonslayers

  • The gravitational direction of technology is towards mediocrity: as technology inflates, excellent technologies tend to become mediocre, and mediocre companies adopt excellent technologies.
  • The gravitational direction of the market is the Matthew effect: markets with a presence will grow larger, while those without will shrink.

Stratechery: Why Did Amazon Acquire Whole Foods?

· 3 min read

The answer is: Amazon wanted to buy customers for its grocery service.

Background

  • Amazon's acquisition of Whole Foods = Apple's iPhone defeating Palm

    • Do not confuse goals, strategies, and tactics — Apple's strategy:
      • It was not about making phones but about producing personal computers
      • It was not about adding features to phones but about compressing traditional phone functions into one app
      • It was not about replicating the work of carriers but about leveraging its connection with customers
    • The iPhone is the most successful product in history = Amazon is the most dominant company in history
  • Amazon's Goals

    1. Initially, Amazon.com aimed to become a leading retailer based on information products and services, starting with selling books.
    2. Then, Amazon declared, "Our vision is to be Earth's most customer-centric company, where customers can find anything they want to buy online."
    3. ==Amazon's goal is to gain a share of all economic activities==.
  • Amazon's Strategy

    • For businesses: AWS. Assume that all commercial transactions will soon be completed online.
    • For customers: Prime. Assume that high costs and diverse choices are unsustainable. With Prime, customers will not consider other alternatives.
      • However
        • The grocery industry is the largest retail category
        • The grocery industry can continuously remind consumers that there are alternatives to Amazon
  • Amazon's Tactics: Develop grocery services

Why Did Amazon Not Arrive at the Right Tactics?

BooksGroceries
High inventory units = wide selectionLow inventory units (30k - 50k)
StandardizedVaried
Non-perishablePerishable

Amazon's cost disadvantages in fresh produce

  1. Once scale is insufficient, product spoilage will incur high costs.
  2. Scale depends on the specific circumstances of each city.

Why does acquiring Whole Foods (rather than others) solve the business scale issue?

==Business fundamental component model + two basic points 1) High fixed costs 2) High returns==

  • Deconstruct the infrastructure into Minimum Sellable Units (MSUs)
  • These businesses themselves are the first and best customers of these minimum sellable units
  • Resell the minimum sellable units

AWS's three-tier architecture

ServiceFundamental ComponentS3, EC2, RDS, SNS, ...
PlatformAWSHigh fixed costs + scale returns
InfrastructureModular ComponentsData centers, servers, storage, switches, bandwidth
  • MSUs belong to S3, EC2, RDS, SNS, etc.
  • The first and best customer is amazon.com
  • Resell MSUs to non-Amazon developers

Amazon.com's three-tier architecture

ServicePackageFDA, Amazon Pay, ...
PlatformLogistics CenterHigh fixed costs + scale returns
InfrastructureModular SuppliersManufacturers, third-party suppliers, etc.
  • MSUs belong to FDA, Amazon Pay, etc.
  • The first and best customer is Amazon's first-party e-commerce
  • Resell MSUs to third-party suppliers

The insight here is that Amazon's existing grocery does not have a first and best supplier.

The Perfect Customer

Placing Whole Foods into this framework, we can see that ==what Amazon did was not just buy a retailer, but also acquire a customer for its existing business==.

Amazon.com's three-tier architecture + Customers

CustomerAll categories of food, delivery, restaurants
ServiceGroceriesMeat, fruits, vegetables, dry goods, etc.
PlatformLogistics CenterHigh fixed costs + scale returns
InfrastructureModular SuppliersStore brands, name brands, local suppliers, regional suppliers, etc.

Now, Amazon groceries can serve both Amazon Fresh and Whole Foods, and in the future, this foundational platform can also provide services to restaurants and other food-related entities.

9x Effect

· One min read

The failure rate of a new product can be as high as 40% to 90%. Why is that? The 9x Effect: your new product must be nine times better than existing alternatives to win the market.

  • Companies often overestimate new products by three times.
    • They are driven by dissatisfaction with the status quo and believe that innovation is effective, which leads them to create this new product.
    • The IKEA Effect: effort can increase a worker's affection for the outcome of their labor.
    • They view innovation as an important criterion.
  • Consumers often underestimate new products by three times.
    • They feel satisfied with the status quo and have an aversion to change.
    • Due to a lack of understanding of the product, consumers often hold a skeptical attitude toward new products.

How does a company prepare for an economic recession?

· 2 min read

Warning Signs of Economic Recession

How did Resilient Company Prepare?

Back in 2008, companies turning out to have higher total shareholder return(TSR) did these things:

  • By the time of reaching the lowest point of the recession, they had increased EBITDA(Earnings Before Interest, Taxes, Depreciation, and Amortization) by 10%.
    • By reducing operating costs earlier in the recession, and more deeply.
  • Introduce more flexibility into the investment-planing
    • Reduce > $1 per $1 of total capital on their balance sheet
  • Prepare far more cash than peers for acquiring assets once on the upswing of the economy.
  • Maintain high-value customers’ loyalty.
    • Forgo revenues from price changes, while peers are reducing the price.

==However, slashing costs may hurt the brand and the company moral==.

Finally, getting ahead of peers create a huge advantage.

Mark Zuckerberg is Building a Western Version of WeChat

· One min read

As a highly profitable company, Facebook's operating profit margin reaches 42%.

Operating profit margin = Operating income / Net sales
Operating income = Total revenue - (Operating expenses + Depreciation and amortization)

As it transitions to a privacy-centric super app, it will face three challenges.

  1. Technology. How to bridge the gap between apps like WhatsApp and Instagram, turning them into a unified platform?
  2. Economics.
    • In China, there is no dominant app store, allowing WeChat to grow as the preferred platform. However, in the U.S., there are already Apple and Google.
    • ==WeChat is not a cash cow.== Targeting privacy-conscious users for segmented advertising is challenging.
  3. Privacy and competition.
    • No country wants a single company to monopolize the internet.
    • Social networks + private messaging = Windows OS + IE

Mark Sellers: Technology Is Not an Economic Moat

· One min read

==Economic Moat== refers to: A company's ability to maintain a competitive advantage over its rivals, protecting long-term profits and market share.

Elements that do not constitute an economic moat:

  • Technology. Technology will ultimately be replicated.
  • Extensive reading. ==Reading can only help one keep pace with others.== In the industry, everyone reads a lot of books; even reading more than others does not necessarily make you more competitive.
  • Master's degrees or other degrees from top universities. These degrees often lead to high salaries, even if they are in stark contrast to what successful investors do.
  • Experience. Some degree of experience is necessary to participate in the economic game, but in certain cases, this experience may not be helpful.

Elements that constitute an economic moat:

  1. Economies of scale and scope. For example, companies like Walmart, Home Depot, and Lowe's.
  2. Network effects. For example, eBay and Mastercard.
  3. Intellectual property, such as patents and trademarks.
  4. High customer switching costs. For example, Paychex and Microsoft.

Why It Is So Hard to Make a Good Decision

· 2 min read

Due to the spotlight effect: ==Daniel Kahneman says “A remarkable aspect of your mental life is that you are rarely stumped,” and mistakenly believe “what you see is all there is.”== People only see what they see and want to see, making it hard to step outside of their own perspective. Therefore, it's important to frequently ask oneself, "Why do I think this way?"

The author identifies four major challenges in the decision-making process and proposes solutions:

  1. Narrow framing <> Broaden options
  2. Confirmation bias <> Test assumptions with facts
  3. Short-term emotion <> View decisions from a distance
  4. Over-confidence <> Prepare for mistakes

Ray Dalio also states, recognize that 1) the biggest threat to good decision-making is harmful emotions, and 2) decision-making is a two-step process (first learning and then deciding).

Examples illustrating how people often make poor decisions:

  • Career choices, for instance, are often abandoned or regretted. An American Bar Association survey found that 44% of lawyers would recommend that a young person not pursue a career in law.
  • A study of 20,000 executive searches found that 40% of senior-level hires “are pushed out, fail or quit within 18 months.”
  • More than half of teachers quit their jobs within four years.
  • One study of corporate mergers and acquisitions—some of the highest-stakes decisions executives make—showed that 83% failed to create any value for shareholders.

What to do? Solve it with a process. ==In decision-making, process is six times more important than analysis.==

  • Because understanding our shortcomings is not enough to fix them.
  • People’s decision-making processes are generally too simplistic.
    • The final decision maker should be both the challenger and the ultimate judge.
    • Franklin’s moral algebra
    • Pros-and-cons