Have you ever watched a market leader vanish almost overnight simply because the money stopped flowing its way? I still remember the quiet shock many of us felt when certain software darlings that once looked unstoppable began losing their edge. That moment made one idea crystal clear for me: successful investing often comes down to one deceptively simple principle. Follow the money.
Understanding The Simple Philosophy Behind Blue Whale’s Approach
Stephen Yiu, who manages a highly concentrated growth fund, puts it bluntly. His entire investment philosophy rests on tracking where spending is actually increasing. There are three main sources that drive the global economy: consumer wallets, corporate budgets, and government outlays. The companies that capture incremental dollars from any of these three streams tend to deliver the strongest earnings growth over time.
It sounds almost too straightforward. Yet in practice this approach forces constant vigilance. Markets shift. Spending patterns change. What worked brilliantly five years ago can become a trap tomorrow. I’ve found that investors who cling to yesterday’s winners often suffer the most painful drawdowns. Yiu’s fund has stayed heavily tilted toward technology for years, but he insists he is not a tech specialist. He simply goes where the money is flowing.
Looking back to 2017 when the fund launched, consumer spending enjoyed a golden decade. Low interest rates, modest inflation, expanding globalisation and relative geopolitical calm all helped shoppers open their wallets. Companies tied closely to that spending power flourished. Today the picture looks very different. Consumers face higher borrowing costs, sticky inflation and greater uncertainty. Many of those former favourites now struggle for growth.
Why Technology Still Dominates But Looks Completely Different
The big shift arrived with the acceleration of artificial intelligence. Capital expenditure from businesses and cloud providers exploded. Suddenly the companies supplying the physical infrastructure – chips, servers, networking gear – began receiving torrents of new spending. At the same time, many software businesses that once seemed invincible started facing a quiet threat.
Yiu and his team noticed something most investors overlooked. Artificial intelligence does not automatically strengthen every technology company. In fact it can erode the competitive moats of traditional software providers. When coding assistants and generative tools make it far easier to build competing products, switching costs fall and barriers to entry drop. That realisation led the fund to exit many software holdings roughly two years ago.
A very important part of any investor playbook is that you need to sell companies that could have their earnings power disrupted.
Those earlier software positions had looked almost perfect. Recurring subscription revenue replaced one-time licence fees. Customers often felt locked in because changing systems carried high costs and operational risk. Yet the arrival of powerful AI tools changed the equation. Smaller rivals could now develop alternatives more quickly and cheaply. The protective walls around many software businesses began to look thinner.
In my experience, recognising when a once-reliable moat starts to crack is one of the hardest skills in investing. It requires intellectual honesty and a willingness to sell positions that still appear successful on the surface. The fund’s rotation out of software and into hardware producers that supply the physical building blocks of AI demonstrates exactly that discipline.
Hardware Stocks Capture The Real AI Spending Wave
Today the portfolio remains concentrated in technology, but the character of those holdings has transformed. Instead of software platforms, the emphasis sits firmly on companies manufacturing the semiconductors, memory, and specialised components that power large language models and data centres. Physical scarcity has become the new growth driver.
Demand for advanced chips continues to outstrip supply in key segments. Construction of massive data centres requires enormous quantities of power equipment, cooling systems and networking hardware. These businesses sit directly in the path of the largest capital expenditure wave in recent technology history. Their order books stretch years into the future in many cases.
Perhaps the most interesting aspect is how this spending differs from earlier technology cycles. Previous waves often centred on software and services that scaled with relatively low incremental capital. The current AI build-out demands concrete factories, sophisticated manufacturing processes and enormous energy infrastructure. That physical intensity creates different winners.
- Semiconductor designers and manufacturers benefiting from multi-year capacity expansion
- Suppliers of advanced packaging and testing equipment
- Providers of high-bandwidth memory and specialised networking chips
- Companies enabling the power and cooling systems required by dense computing clusters
These names tend to show stronger pricing power and more visible earnings trajectories than many software peers currently facing disruption risk. Following the money in this case means following the physical constraints of the AI build-out.
Unexpected Moves Into Energy And Defence
The same logic has taken the fund into sectors that once seemed completely alien to a growth-oriented portfolio. An oil and gas producer appeared in the holdings, followed more recently by a refining company. The reasoning centres on sustained higher energy prices driven by geopolitical tensions and constrained supply growth.
Conflicts and shifting alliances have altered the energy landscape. Traditional assumptions about ever-increasing supply and permanently low prices no longer hold. Companies that can deliver reliable production and refining capacity find themselves receiving more of the spending that was previously spread more thinly. This represents what Yiu describes as a genuine shift in the investment regime.
Even more striking is the position in a European defence firm. Before 2022 most investors largely ignored the sector. Defence budgets tended to track nominal economic growth, and European growth had disappointed for years. Capital allocation to these companies remained modest. Everything changed with the sharp rise in geopolitical risk.
Governments across the continent suddenly increased spending commitments. Order books expanded. Balance sheets improved. Relationships with government customers evolved toward longer-term contracts and better visibility. Margins, free cash flow conversion and overall return profiles improved markedly. The money began flowing in a structural rather than cyclical way.
Before 2022, nobody should ever be interested in European defence companies. Defence budgets were very much linked to European nominal GDP and European GDP has been very disappointing for many years.
That assessment captures the previous reality perfectly. The new reality looks different enough that ignoring the sector would mean missing a clear source of incremental spending. I’ve watched many growth investors struggle with the idea of owning energy or defence names. Yet when the money truly shifts, the labels matter less than the cash flows.
Bottom-Up Analysis Still Rules The Process
Despite the clear attention paid to macroeconomic and geopolitical forces, Yiu stresses that the team remains fundamentally bottom-up. Top-down insights matter only to the extent they alter a company’s ability to generate earnings. The real edge comes from understanding individual businesses and their surrounding ecosystems better than the broader market.
This point deserves emphasis. The fund invests primarily in large, well-covered companies. Primary information is widely available. Access to management rarely provides a lasting advantage. In such an environment the only sustainable edge is deeper comprehension of how a business actually makes money and how external changes will affect that process.
Ask yourself a simple question about any holding: do I understand this business and its ecosystem better than the average participant? If the honest answer is no, the position may carry more risk than it appears. Concentrated portfolios amplify both the rewards of superior insight and the costs of incomplete understanding.
In practice this means continuous re-examination of competitive dynamics. Software companies once enjoyed sticky customer bases and high switching costs. AI tools began reducing those frictions. Hardware suppliers faced capacity constraints that created pricing power. Defence contractors suddenly received multi-year visibility on orders. Each of these developments required fresh analysis rather than reliance on historical patterns.
How Spending Sources Shape Portfolio Construction
The three-source framework provides a useful filter for every potential holding. Consumer spending currently looks more constrained. Higher interest rates, elevated living costs and cautious household sentiment limit the upside for many traditional consumer businesses. Corporate spending, particularly around AI infrastructure, remains robust. Government spending has expanded in defence and related security areas.
Portfolio construction therefore tilts toward the latter two streams while remaining flexible enough to pivot if conditions change again. Concentration remains high because the team prefers deep conviction over broad diversification. When the money is flowing strongly in a particular direction, spreading capital thinly across weaker opportunities dilutes returns.
This approach also demands regular portfolio surgery. Selling positions that no longer sit in the path of incremental spending can feel uncomfortable, especially when those positions still report solid numbers. Yet the alternative is holding companies whose future growth prospects have quietly deteriorated. Over multi-year periods that decision compounds negatively.
Lessons For Individual Investors Watching The Same Shifts
Ordinary investors can apply similar thinking without running a concentrated professional fund. Start by asking where new spending is appearing. Is it consumer, corporate or government? Then identify the companies positioned to capture that spending most effectively. Finally, remain willing to exit holdings when the spending narrative changes.
The current AI cycle offers a clear illustration. Many participants assumed every technology company would benefit equally. Deeper analysis revealed winners and potential losers within the same broad sector. Hardware suppliers captured the bulk of new capital expenditure. Certain software models faced greater competitive pressure than expected.
Geopolitical developments created similar divergences. Energy and defence companies that previously attracted little growth capital suddenly found themselves recipients of structural spending increases. Investors who updated their mental models captured those opportunities. Those who continued viewing the sectors through a pre-2022 lens largely missed them.
I’ve found that maintaining a simple checklist helps. First, identify the dominant spending sources today. Second, map the companies most directly exposed to those sources. Third, test whether competitive advantages remain intact under the new conditions. Fourth, review the list regularly rather than annually. Markets move faster than many of us prefer to admit.
The Risk Of Staying Too Long With Familiar Names
One of the greatest dangers in growth investing is emotional attachment to successful past holdings. A software company that delivered excellent returns for years can still become a value trap if its earnings power faces structural disruption. The same applies to any business whose customers start spending elsewhere.
Yiu’s decision to reduce software exposure around two years ago illustrates the point. Those businesses had not suddenly become terrible. Many continued reporting solid results. Yet the forward-looking assessment of their competitive position had changed. Selling early enough to redeploy capital into stronger opportunities proved more valuable than waiting for absolute confirmation of trouble.
This willingness to rotate capital sits at the heart of the follow-the-money philosophy. The money does not stay in one place forever. Consumer strength gave way to technology capital expenditure. Within technology the emphasis moved from software to hardware. Geopolitical stress redirected government spending toward defence. Each transition created both winners and relative losers.
Looking Ahead At Potential Future Spending Shifts
No one can predict the next major rotation with certainty. Yet the framework itself remains useful. Watch consumer balance sheets and sentiment for signs of renewed strength. Monitor corporate capital expenditure plans beyond the current AI wave. Track government budget priorities as security concerns evolve. Any sustained increase in spending from one of the three sources will eventually surface in company earnings.
Physical constraints may continue to play an outsized role. Power availability already limits data centre expansion in some regions. Raw material supplies and manufacturing capacity for advanced chips remain tight. Energy markets still reflect geopolitical risk premiums. These bottlenecks often determine which companies capture the largest share of available spending.
Defence budgets in Europe and beyond look set to remain elevated for years. The structural nature of the increase suggests more durable demand than typical cyclical upturns. Companies that combine improved operational metrics with long-term order visibility stand in a favourable position.
At the same time, investors should remain alert to any slowdown in AI-related capital expenditure. Massive spending cycles eventually mature. When that happens the money will seek new destinations. Prepared investors will already be scanning for the next sources of incremental demand rather than defending yesterday’s positions.
Practical Steps To Apply The Philosophy Yourself
Translating the idea into personal portfolio decisions requires discipline. Begin by mapping your current holdings against the three spending sources. Which companies depend primarily on consumer wallets? Which rely on corporate budgets? Which benefit from government programmes? This simple classification often reveals concentration risks that were not previously obvious.
Next, rank the strength of each spending source over the coming two to three years. Consumer spending may remain subdued in a higher-rate environment. Corporate AI investment still appears robust. Government defence and security outlays show structural growth. Adjust position sizes accordingly while respecting your own risk tolerance and time horizon.
Finally, schedule regular reviews that force an honest reassessment. Markets change. Narratives evolve. What looked like a permanent tailwind can become a headwind. The investors who adapt fastest tend to preserve capital and capture new opportunities more effectively than those who wait for perfect clarity.
- Classify every holding by primary spending source
- Assess the forward strength of each spending category
- Identify companies best positioned to capture incremental dollars
- Exit or reduce exposure when competitive advantages weaken
- Remain open to sectors that previously seemed outside your comfort zone
These steps will not guarantee success. No investment approach does. They do, however, keep attention focused on the ultimate driver of corporate earnings growth: the actual flow of money from customers, businesses and governments.
Why Concentration And Flexibility Matter Together
A concentrated portfolio amplifies the impact of correct decisions. It also magnifies mistakes. The follow-the-money approach works best when paired with genuine flexibility. High conviction in today’s winners must coexist with readiness to reverse course when the evidence changes.
Yiu’s fund demonstrates that combination. Heavy technology exposure has persisted for years, yet the specific names within that exposure have evolved substantially. Software positions gave way to hardware. Energy and defence holdings appeared where none existed before. The overall concentration remained high while the composition adapted.
Individual investors can borrow the same mindset even with broader portfolios. Maintain higher weights in areas receiving clear spending increases. Keep smaller exploratory positions in potential future beneficiaries. Avoid the trap of treating any sector or company as permanently entitled to growth capital.
Final Thoughts On A Timeless Principle
Markets will continue to change. New technologies will emerge. Geopolitical relationships will shift. Consumer preferences will evolve. Through all of those changes the fundamental question remains the same. Where is the money going, and which companies stand to receive more of it?
Stephen Yiu’s application of that question has produced a portfolio that looks quite different from typical growth funds. Hardware over software. Selective energy exposure. A meaningful defence position. Each holding reflects a deliberate attempt to sit in the path of incremental spending rather than rely on historical labels or sector preferences.
For those of us watching from the sidelines or managing our own capital, the lesson feels both simple and profound. Follow the money. Reassess regularly. Stay humble about what we think we know. The companies that capture the next wave of spending will likely look different from those that dominated the last decade. Being ready for that shift may prove more valuable than any single stock tip.
In the end investing rewards those who adapt when the flow of capital changes direction. The current AI era, combined with elevated geopolitical tension, has already redirected substantial sums. More redirections almost certainly lie ahead. Keeping a clear focus on the three sources of spending offers one practical way to navigate whatever comes next.
