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Macro Chats 91: Why A-Shares’ “Water Bull” Emerged After 3,800
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Macro Chats 91: Why A-Shares’ “Water Bull” Emerged After 3,800

Summary

  • 李丰’s core judgment is that the Shanghai Composite breaking above 3,800 is not the end of the liquidity-driven rally, but still “a relatively early stage.” This does not mean the index will sprint from 3,800 to 7,000; offshore active capital has only just turned from sustained net outflows to a tentative rebound, while nearly RMB50T in domestic excess savings is only beginning to be activated. The trend could still correct if a gray rhino such as tariffs disrupts it.
  • July’s financial data provided clear cross-validation of the shift from savings to wealth management: household deposits fell by about RMB1T, while deposits at non-bank financial institutions rose by more than RMB2T. Public funds have reached roughly RMB35T, and ETFs appear to have surpassed RMB5T; retail investors are not absent from the market, but are entering mainly through funds. 李丰 sees this as healthier than chasing individual stocks, with ETFs creating a “base of investable holdings” and a form of stabilizing force.
  • The medium-term logic for the technology rally is not whether a particular chip stock can keep rising, but whether China’s economy can switch from “growing sideways” to “growing vertically.” 李丰 estimates that high-value-added industries currently account for slightly more than 10% of GDP. If that share rises to 20%, while GDP and total market capitalization reach RMB180T–RMB200T in five to six years, technology companies could be worth roughly RMB35T–RMB40T. The STAR Market was only around RMB5T–RMB6T at the start of the year—well below that structural end state.
  • The “water bull” is not an abnormality unique to China; after an economy comes under pressure, injected liquidity naturally flows first toward assets with high liquidity and potentially high returns. What determines whether the rally becomes an economic recovery is whether the water lasts for more than a year, even a year and a half, and spreads from equities, finance, and technology companies into services, consumption, employment, and property. The positive feedback loop “from financial assets to the real economy and back to financial assets” takes time.
  • The most important things to monitor are not whether office workers and taxi drivers are talking about stocks, but whether liquidity continues to expand and CPI moves away from zero. If household deposits fall further, non-bank deposits continue rising, and CPI moves from the zero zone of -0.1%, 0.2%, and 0.3% toward 1%–2%, the wealth effect is beginning to create ripples. Property has moved from the core risk asset to the second or third ring, mainly serving to stabilize the existing stock and release demand for upgraded consumption.
  • The rally has two main breaking points: a sudden stop in liquidity, or a gray rhino far worse than expected. The trend that began in February was interrupted by the tariff shock in April and only restarted in June and July. If the November 10 China-U.S. tariff deadline, the 15th Five-Year Plan, and opening-up policies all land in the same direction, they could add fuel to the fire; otherwise, they could once again throw a bucket of water on it.
  • Global long-term capital has not yet rebalanced on a large scale, and China, the U.S., and Europe are unlikely to sustain simultaneous bull markets on existing liquidity. The U.S. market has expanded from more than $30T to more than $70T, and simply maintaining its existing valuation absorbs enormous amounts of capital. 李丰 would rather see U.S. equities peak and decline gradually than undergo a financial-crisis-style purge, because a sharp fall would also drag down Chinese and global risk appetite.
  • The primary market is migrating along the sequence “foundation models—agents—humanoid robots—application monetization,” and the next opportunity set will sit closer to real-world use cases. As models trend toward open source, they will become like “water, electricity, and gas”; startups’ defense lies not in general-purpose models, but in data and know-how that large companies do not have. AI-powered e-commerce recommendations alone are unlikely to beat Douyin or Alibaba, while new data from robot environments and action interactions could create a genuine moat.

Deep dive

1. After 3,800, capital flows still suggest the rally is in its early stages

  • 李翔 opened with the fact that Cambricon’s share price had surpassed Moutai, Insta360’s market cap had hit a record, and both office workers and taxi drivers had started talking about stocks: market sentiment has turned hot again after a long absence, naturally raising the question of whether the top is already in.

  • 李丰’s conclusion came first: “Looking at how it appears today and at capital flows, it should still be in a relatively early stage.” The judgment describes the stage of capital allocation; it is not a forecast that the index must rise from 3,800 to 7,000, nor does it rule out an interruption by external events.

  • His framework extends the previous 3 episodes on global capital flows: domestically, the question is whether excess savings can shift into wealth management and then into equities, bonds, gold, and other assets; offshore, the question is whether actively managed funds have truly ended their net outflows from Chinese assets beyond passive allocations.

2. Offshore active money has just bottomed; Hong Kong was not driven by foreign capital alone

  • The earlier rally in Hong Kong was supported mainly by two pools of money: overseas passive allocations following index adjustments, and domestic capital flowing into Hong Kong. Foreign active funds and hedge funds were still net sellers overall in the first half; net outflows do not mean that no foreign investors were buying.

  • The valuation of CATL’s Hong Kong shares relative to its A-shares, as well as foreign funds among cornerstone investors in Hong Kong technology companies, shows that overseas buying has continued in specific assets. In aggregate, however, active money only recorded its first weekly net inflow in the episode about a month before the recording.

  • By August, the observable data led 李丰 to call the shift a “bottoming rebound”: active foreign capital had not yet become a surging source of incremental demand, but it had moved from persistent withdrawal to testing the waters again. That looks more like an initial condition for a rally than a late-stage crowding signal.

3. July’s two deposit data points confirm that excess savings are beginning to activate

  • 李丰’s key cross-check was this: household deposits fell by roughly RMB1T in July, while deposits held by non-bank financial institutions—including brokerages, funds, wealth-management firms, and insurers—increased by more than RMB2T. “Put these two sentences together,” and the basic implication is that household money is shifting from deposits into wealth management.

  • China’s nearly RMB50T in household excess savings had continued to grow, reflecting weak confidence in consumption and investment. As time-deposit rates and risk-free returns decline, this “water will eventually spread out”; the policy task is to guide it orderly into different assets.

  • The most direct follow-up test remains the same pair of indicators: if the decline in household deposits accelerates in August and the increase in non-bank deposits expands, savings-to-wealth-management conversion is speeding up rather than proving to be a one-month anomaly.

4. Retail investors entering through funds is more stabilizing than chasing individual stocks

  • Investment banks’ claim that “retail investors have not entered in large numbers” may simply overlook the lack of mass direct trading in individual accounts. Public-fund assets are around RMB35T, and ETFs appear to have surpassed RMB5T, showing that households are participating in capital markets more often through active funds and passive index products.

  • 李丰 sees ETFs as a better structure for both individuals and the market: they allocate money across the top 50, 200, 300, or 500 companies in a market or sector, with holdings dynamically adjusted based on market capitalization and performance every quarter or half-year. That creates a “base of investable holdings” and a kind of stabilizing mechanism.

  • By contrast, retail investors chasing prices push them further into the danger zone near the top, while panic selling can drive the clearing process below normal levels. Retail capital’s greatest advantage is that it has “almost no cost” and can be held for 1 to 5 years, yet investors often surrender that advantage to emotion.

  • Once passive money accumulates into several trillion yuan or even RMB10T, the core remains stable holdings even if the overall pool fluctuates by 10%–20% with sentiment. It does not make large withdrawals from a single company simply to chase another stock, reducing overall market volatility.

5. The fundamental question for technology assets is whether growth can turn from horizontal to vertical

  • 李丰 calls capacity expansion, infrastructure expansion, and housing construction “growing horizontally.” Value growth is “growing vertically”: companies in chips, biopharmaceuticals, and precision manufacturing produce higher-value-added goods. Technology assets are the capital-market expression of this economic restructuring.

  • High-value-added manufacturing currently accounts for slightly more than 5% of China’s GDP. There are no precise statistics for high-value-added services such as chip design, biopharmaceutical R&D, software, and data services; 李丰 roughly estimates another 5%, putting the combined share just above 10%.

  • The first question for this investment thesis is: “Is China winning or losing in this technology contest?” If the answer is no, subsequent valuation discussions are meaningless. If the answer is yes, the second question is how much of GDP the first, second, and third sectors of high technology can ultimately represent.

  • 李丰 cited Bloomberg data mentioned on the program as an example of the shift: when technology restrictions began in May 2019, the prevailing concern was that China would struggle to cross the gap. Six years later, in one June, China recorded its first surplus of roughly $1.3B in trade of high-technology products with the U.S. “You cannot say China has won today,” but the situation is clearly different.

6. High-value-added industries are unlikely to reach half of GDP, but 20% would be enough to revalue the market

  • 李丰’s own estimate is that high-value-added industries could rise from roughly 10% today to 20%. Investors can instead choose 15%, 25%, or 30%, but 40%–50% would be too extreme because close to half of China’s long manufacturing chain still consists of medium- or low-medium-value-added processing and assembly.

  • If all those links disappeared, China would look more like the U.S.—retaining chip design but not consumer-electronics assembly and manufacturing—which is inconsistent with the desire to preserve a complete industrial chain. Technology upgrading therefore does not mean traditional manufacturing and medium-value-added industries go to zero.

  • The value of this framework is not to set a target price for a particular chip stock, but to force investors to answer 2 long-term questions: can the transition succeed, and what share of industry will it represent after success? “Once you answer that question and set your own expectations, you can go ahead and buy.”

7. Vertical industrial growth requires capital markets to stand alongside banks as a financing pillar

  • After 2001, China relied on bank lending to support property, infrastructure, manufacturing expansion, and the growth of state-owned enterprises. Banks are good at calculating “from 1 to 2”: 1- to 3-year loans, annual interest payments, and principal repayment at maturity—well suited to predictable horizontal expansion.

  • Technology companies growing vertically need scale and time. Early-stage returns are difficult to calculate precisely year by year and may not support fixed-period interest payments. Financial support therefore has to shift partly from indirect financing toward direct financing through equity and bonds. The importance of capital markets is not merely a policy preference; it follows from the industrial structure.

  • 李丰 compared this with the establishment of the 4 asset-management companies after 2001, the removal of bad assets from ICBC, CCB, BOC, and ABC, and the push to list the banks in Hong Kong. That effort organized the banking infrastructure for the previous growth cycle; improving capital-market rules, governance, and the composition of listed companies today is about preparing the financing infrastructure for the next cycle of value growth.

8. The GDP-to-market-cap arithmetic implies conditional 3x–4x upside for the STAR Market

  • Using a 0.8–1.2 range for the “Buffett Indicator,” 李丰 takes total market capitalization to GDP at roughly 1:1. China’s GDP is currently around RMB140T; if it grows to RMB180T–RMB200T in 5 to 6 years, total market capitalization could reach a similar level.

  • If high-value-added industries account for 20% at that point, technology companies would correspond to roughly RMB35T–RMB40T in market value. At the start of the year, the entire market was around RMB90T, while the STAR Market was only RMB5T–RMB6T, or roughly 6%—even below the estimated 10% share of high-value-added industries at the time.

  • By the time of recording, the STAR Market may have approached RMB9T, accounting for more than 8%, after rising around 40% or more year to date. If the total market doubles and technology’s share rises from roughly 8% to 20%, simple arithmetic produces the possibility of “3x or 4x.” This is a conditional 5-year projection, not a promise of short-term returns.

9. Chips are only the current leader; the structural theme will rotate across technology sectors

  • 李丰 rejects using macro analysis to directly evaluate individual stocks such as Cambricon and Insta360: “It has absolutely no investment reference value.” Whether an individual stock is reasonably valued requires analyzing the company itself; after explaining why it might rise, one must also explain when to sell. That is why he tries not to recommend individual stocks.

  • The medium-term theme does not require chips to lead every day. Today it may be chips; tomorrow biopharmaceuticals; the day after, software, data services, AI applications, or model companies. The objects of rotation will change, but the logic that economic and financing structures are jointly lifting the share of technology remains intact.

  • If capital markets truly become one of the main financing channels for the new economy, the composition of listed companies must ultimately reflect the composition of GDP. The old market mapped property, infrastructure, capacity expansion, and state-owned enterprises; the next phase should raise the “concentration” of high-value-added companies.

10. July’s negative loan growth cannot be reduced to a collapse in demand

  • Combined new loans to companies and households turned negative for the first time in any single month since 2005, at roughly negative RMB50B. 李丰 acknowledged a genuine element of weak corporate investment, household consumption, and income expectations, as well as the traditional credit lull after the end of the June quarter and first half.

  • Aggregate social financing, however, remained in line with expectations, with a large portion coming from government-bond financing. Government bond issuance is direct financing and may extend the roughly RMB12T debt-resolution arrangement: replacing existing commercial loans at local financing vehicles with government bonds of longer maturity and lower interest rates.

  • Local hidden debt is often borrowed by local state-owned enterprises or companies controlled by local governments. When bond proceeds are used to repay bank loans, the statistics show an increase in direct government financing and a decline in corporate loans. Part of the negative corporate-loan figure may therefore reflect “replacing indirect financing with direct financing.”

  • Negative household loan growth may combine weak demand and confidence, the use of deposits to repay mortgages early, and the replacement of high-interest loans with lower-cost funding. 李丰 stressed that without detailed breakdowns, these possibilities cannot be written up as a single explanation.

11. The bond-tax adjustment may help stabilize yields and redirect money into equities

  • July also brought a policy change under which tax preferences exempting interest on bonds and government bonds would no longer continue. 李丰’s speculation is that one possible reason was to prevent wealth-management firms, insurers, and banks from concentrating purchases of bonds as deposits were converted, distorting government-bond yields at both the short and long ends.

  • His further speculation is that most of the long-term bonds used for debt resolution and trade-in programs for consumer goods may already have been issued, creating an appropriate timing window for the tax adjustment. This is a correlation-based inference, not something confirmed by disclosed data.

  • Another possible objective was to prevent all newly activated savings from crowding into bonds and encourage some of the money to rotate into equity risk assets such as stocks and ETFs. Household deposits fell, non-bank deposits rose, and equities rallied simultaneously in July.

12. The “water bull” is a common starting point after economic stress, not a China-specific exception

  • 李丰 compresses the mechanism into a chain of common sense: the economy encounters challenges, the government injects liquidity into the system, and money naturally seeks profits, prioritizing destinations with high liquidity and potentially high returns. The stock market is therefore often the first stop.

  • Property and other major asset classes can absorb money, but they do not offer the same convenience of entering and exiting at any time and leaving quickly after making a profit. Stocks are volatile and risky, but precisely because they are highly tradable, they are best suited to the arbitrage money, speculative money, and short-term money looking for opportunities everywhere.

  • There is therefore no logical contradiction in the economy “not being good enough while the stock market gets better first.” The real question is not whether to call it a water bull, but how long the new liquidity lasts and whether it continues spreading after initially lifting risk-asset prices.

13. The U.S. market in 2022 shows that liquidity often explains prices before themes and fundamentals

  • In 2022, the U.S. faced the Russia-Ukraine conflict, the post-pandemic supply-chain recovery, and high inflation at the same time. The Fed first raised rates by 25 basis points, then added another 200 basis points over 3 months through hikes of 50, 75, and 75 basis points, taking rates roughly from zero to 0.25% and then to 2.25%.

  • Despite the complexity, U.S. equities fell unevenly in the first half before beginning a sustained rise in August 2022 that lasted until around the election at the end of 2024. 李丰’s explanation is that global excess capital, amid international uncertainty and the attractiveness of Treasuries, “could almost only allocate mainly to the U.S.”

  • GPT only appeared by the end of 2022, adding an AI narrative to a market that had already risen. The market later used “resilient U.S. growth” to explain prices, but the underlying driver came first from concentrated capital inflows: “The stock market rose first, and then the theme appeared.”

14. Water must last long enough for the wealth effect to ripple into real-economy earnings

  • The transmission path in the U.S. began with finance: legal and consulting services supporting finance improved first, followed by hotels, restaurants, lodging, transportation, and airlines. Government bond issuance also supported sectors such as education and healthcare, where employment was growing relatively quickly.

  • 李丰 uses “concentric circles” and “ripples” to describe a water bull becoming an economic improvement: core assets first accumulate wealth and a profit effect; workers then consume more, companies invest more, and services, employment, housing, and other industries follow. Only then does the large wheel begin turning faster.

  • If a rally lasts only 6 months or less than a year, fast money makes one trade and leaves, leaving little chance for the ripples to spread. If it lasts more than a year, or even a year and a half, in principle it should not be possible for only one class of risk assets to perform well while consumption and property remain “a complete mess” over the long term.

  • Transmission is not automatic. The sectors that rise first must also deliver some earnings realization to keep the concept alive. Improving revenue at technology companies and industrial themes supplied by foundation models, for example, can keep liquidity rolling rather than trigger a rapid exit.

15. China’s first ring is insurance, banks, and technology companies; broad demand comes later

  • In the first half, policy raised insurers’ equity-allocation ratio and lowered the risk factor for equity assets, jointly pushing insurance capital into equities. Equities account for slightly more than 8% of insurers’ investable assets, leading insurers to buy large amounts of bank stocks even as banks faced pressure on the liability side, volatility in asset quality, and a shortage of high-quality assets.

  • Banks carry heavy index weights, so an initial push from insurers can lift the index. If market enthusiasm spreads, technology and small-business loans that banks previously hesitated to provide or viewed as risky may shift from “risk assets” to “valuable assets” as financing improves, companies grow, and listing opportunities increase.

  • The primary market has already become busy over the past 6 months. Once listed technology companies gain a wealth effect and financing capacity, they may expand investment, act as LPs, pursue acquisitions, or integrate industrial chains, passing the heat on to startups that underwent a clearing process in 2022–2024.

  • Only then does the path reach employment, consumption, and services. A water bull is not permanently detached from the real economy; transmission from capital markets to the real economy has direction, layers, and time lags.

16. Tariffs are the biggest gray rhino; CPI is the clearest thermometer for the ripples

  • 李丰 identifies 2 main interruption conditions: “The first is liquidity suddenly coming to a halt; the second is the sudden appearance of a huge gray rhino.” The domestic and offshore funding trend that began after the Lunar New Year in February was interrupted by the unexpected tariff announcement in April and only restarted in June and July.

  • The China-U.S. tariff arrangement has been deferred to November 10. If tariff rates change far more than expected in late October, risk appetite could turn again. Conversely, if the Fourth Plenum’s discussion of the 15th Five-Year Plan spells out more clearly the opening of finance, healthcare, education, media, and other sectors, 李丰 speculates that it could even involve orderly opening of the renminbi capital account and add “fuel to the fire.”

  • When multiple positives land at the same time, it is like throwing several stones onto the same point in succession, making the ripples larger; a tariff shock is like “pouring a large bucket of water” over a fire that has just started. Policies and events contain an element of chance, but they can also amplify the underlying liquidity trend.

  • From a purely economic perspective, if CPI rises from the current zero-near readings of -0.1%, 0.2%, and 0.3% to 1%–2%, even mild inflation would indicate that demand is transmitting through the economy. The brief post–September 24 burst in restaurants and tourism during last year’s National Day holiday, followed by a retreat, is an example of insufficient duration.

17. Liquidity lights the fire; expectations and earnings keep the rally going

  • In response to 李翔’s question about whether liquidity or expectations matter more, 李丰’s ordering is clear: the initial rapid rise is liquidity-driven, after which the market must find concepts and expectations to justify the gains. That is the first wave and the “first wave and a half.”

  • When the rally continues spreading into larger sectors such as consumption, manufacturing, finance, and services, it produces broad earnings results that turn initially abstract expectations into something concrete. Once the market sees partial realization, it may “pull up valuations” again and raise P/E multiples.

  • The full process is “from the abstract to the concrete and back to the abstract,” with concepts, earnings, and valuations repeatedly reinforcing one another. Technology, especially chips, already has some scale but still does not represent the Chinese economy as a whole; only broader diffusion into the real economy can establish the positive feedback loop.

18. Property has moved from the innermost risk-asset ring to second- and third-ring consumption

  • 李翔 asked whether the stock market had still failed to pull property higher effectively. 李丰’s answer was: “It has not pulled property up, but it needs property to provide a floor.” Property still affects the balance sheets of households, companies, and financial institutions, but it is increasingly a question of stabilizing the existing stock.

  • Property used to have a strong investment attribute and was one of the axes closest to the core of the liquidity ripple. Today, households’ nearly RMB50T in excess savings will not flow into property on a large scale again; property is more like a durable consumption category and has moved into the middle, or the second and third rings.

  • If the stock market’s wealth effect repairs household balance sheets, demand from first-time buyers, upgraders, and those seeking more livable homes can still be released. The policy task is to stabilize the existing stock at the right time, not restore the old cycle centered on investment appreciation: the “investment attribute” weakens while the “consumption attribute” strengthens.

19. The tariff negotiations are revealing a shift in countries’ relative positions

  • 李翔 relayed one observation: Japan, Germany, and Europe have not clearly strengthened relative to the U.S., which is why scholars there are surprised that Chinese people so often discuss America’s decline. For a long period in the past, it was mainly China’s position relative to the U.S. that was improving.

  • 李丰 cautioned that China-U.S. comparisons must distinguish nominal GDP from real GDP after accounting for inflation and deflation. Discussions emphasizing China’s relative decline tend to use nominal figures, while discussions emphasizing structural improvement more often use real figures. The proposition cannot be settled with a single chart.

  • He is more focused on the practical grouping emerging from the tariff negotiations. Those that have not reached full compromise so far include China, India and Brazil, which are under pressure over issues such as Russian oil, and Russia itself—close to a BRICS grouping. At least these countries have not accepted outcomes that look “extremely unequal.”

  • This does not mean they are already fully on equal footing with the U.S. It may indicate, however, that their relative positions in the international order are shifting: the more pressure a country can withstand while preserving room to negotiate, the less it resembles a party that can only accept terms in a clearly unequal relationship.

20. Trump takes the chips first and then pushes for a ceasefire; America’s internal institutional shift is harder to judge

  • 李丰 joked that Trump may be someone who “bullies the weak and fears the strong.” Put neutrally, Trump seems to respect opponents capable of becoming “a thorn in his side.” He does not always deal with Russia or China from a position of superiority, and even for Russia-Ukraine talks he appears inclined toward Hungary, a venue with an unusual stance.

  • On Russia-Ukraine, 李丰 believes Trump pursued 3 steps in line with U.S. economic interests: first obtaining a minerals agreement from Ukraine, then having NATO pay for U.S. weapons to support Ukraine, and finally getting the EU to accept a tariff agreement clearly favorable to the U.S., before concentrating on a ceasefire.

  • These arrangements first took Ukraine’s resources, NATO’s military spending, and the EU’s tariff concessions off the table, leaving Europe with fewer chips when it entered the final ceasefire talks. Some European countries’ more explicit recent statements on the Israel-Gaza conflict may simply be an attempt to recover “half a chip” after the other 3 were taken away—this is 李丰’s speculation.

  • The biggest obstacle in Russia-Ukraine may still be Zelenskyy: direct negotiations concern his political career, and 李丰 relayed a friend’s view from the start of the year that he might have to leave office in some form before an agreement becomes easier to reach. Based on the state of talks at the time of recording, Trump’s chances of making this year’s Nobel Peace Prize are already very low.

21. Pressure on U.S. assets and the migration of AI applications will determine the next destination for capital

  • U.S. second-quarter GDP was acceptable, but employment, services, and inflation are showing the combination discussed in earlier episodes: low-wage jobs are becoming understaffed because of policy changes, companies are forced to raise hourly wages without necessarily attracting domestic workers, and those wages then feed into higher prices for low-value-added services.

  • 李丰 is also concerned that Trump’s challenges to the Federal Reserve, the Bureau of Labor Statistics, law enforcement in Washington, and the Democratic Party’s room to operate are no longer merely about ensuring the next Republican victory. They look more like an effort to expand presidential power and weaken existing independence. “What is the Democratic Party doing?” became an explicit unresolved question for him.

  • Global capital has begun to reallocate at an early stage. Germany’s GDP contracted in the second quarter while the DAX performed strongly, and Hong Kong has also benefited. The money moving first is still mostly fast money. Long-term capital may wait until variables including China-U.S. tariffs, the economies of China and India, a Russia-Ukraine ceasefire, and Europe’s energy supply chains become clearer before rebalancing on a large scale.

  • The U.S. stock market has expanded from more than $30T to more than $70T, while the combined China-U.S.-Europe markets approach $80T–$90T. Existing liquidity makes it difficult for all 3 to sustain bull markets simultaneously. 李丰 would prefer a gradual decline after U.S. equities peak; 李翔 calculated that if China’s market rises from RMB90T to RMB100T, the roughly 1:2.5 price-multiplier effect would require less than RMB3T in new capital.

  • The primary market has already become visibly busier: foundation models were the hottest theme from late 2023 to early 2024, agents took over in the second half of 2024, and humanoid robots became the focus in the first half of 2025. The next shift will be from back-end technology toward software and hardware applications, until AI-plus-consumption and related themes spread to more companies and begin delivering earnings.

  • 李翔 believes AI plus applications looks more like an opportunity for large companies, and 李丰 agrees with the concern. If it is only AI plus e-commerce recommendations, startups will struggle to beat Douyin and Alibaba; as models gradually become open source, they will be like “water, electricity, and gas.” The real startup moat is proprietary data and know-how—for example, the new action and interaction data generated when a robot changes its environment or pours a glass of water.