Author: Frank, Researcher at MaiTong MSX

The true thoughts (positions) of frontline Builders were gathered, broken down into word clouds, and fed to ChatGPT, Gemini, and DeepSeek.

With the same data, do you trust human interpretation or AI "fortune-telling"?

It sounds like a cyberpunk joke, but in today's world, where opinions are as numerous as cattle and highly emotional, what the market lacks is precisely the unembellished real sample information.

After all, positions can indeed lead people to lie.

At the end of the year, in order to get as close as possible to the truth about tokenization/Web3 at the turning point of 2025-2026, we conducted an anonymous sampling of frontline Builders through MaiTong MSX, focusing on three main questions:

• The keywords you associate with the US stock market/tokenization in 2025;
• Your actual holdings in 2025 (not limited to US stocks/Web3);
• The direction you are most willing to allocate in 2026 (not limited to US stocks/Web3);

After some "coercion and inducement," we collected a reasonably satisfactory sample size and compressed it into three word clouds that are almost devoid of subjective judgment. Considering that human interpretation inevitably mixes in biases, we decided to invite "pure" ChatGPT, Gemini, and DeepSeek, under completely consistent prompt constraints, to "fortune-tell" these three word clouds.

Perhaps AI really understands this generation of Builders better than we do and can piece together the fate puzzle of the US stock market, Web3, and tokenization in 2026 through these fragments.

1. What are the keywords you associate with the US stock market/tokenization in 2025?

Prompt: You will see a set of keyword samples from frontline practitioners in the US stock market/tokenization/Web3. These keywords are used to answer the same question: "What does the US stock market/tokenization look like to you in 2025?"; do not judge right or wrong, nor introduce any external market information, but interpret based solely on these keywords from the perspective of data structure and language features, focusing on:

Which keywords have the highest/lowest frequency or are relatively striking, and what structural state might they reflect? Which keywords or semantic directions show obvious consensus characteristics? Are there combinations of keywords with similar meanings, opposite directions, or strong tensions? What overall stage characteristics do these keywords suggest for the track? If you only rely on these keywords without introducing any external information, how would you understand this track in 2025 and 2026?

Please maintain a descriptive and restrained analytical tone, avoiding investment advice or definitive judgments, and keep your response under 1000 words.

Editor's note: The response has been slightly organized and polished for readability, but the overall direction and thought have not been significantly adjusted (same below).

ChatGPT: The highest frequency keywords are concentrated around "acceleration" and "institutionalization," suggesting that the track is undergoing a significant change in rhythm but has not yet stabilized; mid-frequency keywords include "AI," "compliance," and "differentiation," reflecting a backgrounded and normalized existence; low-frequency or isolated words like "weightlessness," "unknown," "battleground," and "starting point" carry strong subjective feelings or emotional metaphors, possibly reflecting individuals' discomfort, competitive feelings, or direct projections of uncertainty regarding structural changes.

The overall corpus presents a language characteristic of a "mid-early stage—structural building phase," where high-frequency verbs outnumber nouns, indicating that the focus of discussion remains on processes and changes rather than stable forms; multiple keywords point to rules, validation, and processes rather than specific products or models; emotional vocabulary exists but has not formed a dominant narrative, indicating that uncertainty is perceived but has not spiraled out of control.

If based solely on these keywords, 2025 can be understood as a transitional year characterized by acceleration but not yet defined, with consensus gathering while differentiation occurs simultaneously.

Gemini: High-frequency words include "acceleration" and "institutionalization," indicating a strong consensus on growth following professional involvement; mid-frequency words like "AI," "compliance," and "differentiation" outline a state of uneven technological means, regulatory frameworks, and market performance; relatively striking low-frequency words include "weightlessness," "process-oriented," and "asset verification," reflecting underlying anxieties beneath the surface of prosperity and a micro perspective shifting from narrative to implementation.

The overall data presents a "high momentum, low gravity" state, where the coexistence of "institutionalization" and "compliance" suggests that this acceleration is not blind expansion but a structural shift constrained by rules, forming a certain tone of certainty in the industry.

In summary, the track is currently in a "transitional explosive period," combining the chaos of the starting phase (weightlessness, unknown) with the rigor of the eve of maturity (compliance, process-oriented), indicating that tokenization is no longer an isolated asset experiment but is beginning to deeply couple with mainstream finance and cutting-edge technology.

Overall, from 2025 to 2026, this is a moment of running anxiously, reshaping within rules, and heavily relying on technological validation for professional entry.

DeepSeek: "Acceleration" occupies the absolute core, while "institutionalization," "differentiation," "compliance," and "AI" form the second tier; most vocabulary appears only once, presenting a discrete long-tail characteristic, for example, "weightlessness" appears relatively striking in the overall context leaning towards dynamic and positive vocabulary (like acceleration, opening up, breaking boundaries), possibly metaphorically indicating a temporary loss of traditional reference points amid rapid changes.

Here, "institutionalization" and "compliance" are closely related in meaning, both pointing to the trend of deep involvement of traditional financial system rules and participants; "differentiation" suggests that there may be levels or paths separating within the market or track.

The dynamic nature of track development (acceleration, variability, turbulence) and the institutionalization process (institutionalization, compliance, process-oriented, structural) form the two strongest consensus semantic directions.

Both run parallel, depicting a field seeking to establish rules and structures amid rapid changes.

2. What are your actual holdings in 2025 (not limited to US stocks/Web3)?

Prompt: You will see a set of keyword samples from frontline practitioners in the US stock market/tokenization/Web3. These keywords are used to answer the same question: "What are your actual holdings in 2025 (not limited to US stocks/Web3)"; do not judge right or wrong, nor introduce any external market information, but conduct logical analysis based solely on the composition of the samples, interpreting from the perspective of data structure:

Classify the assets involved/track; are there core assets that are repeatedly allocated? Is the overall holding more concentrated or diversified, revealing what kind of risk tolerance? From these actual holdings, can any behavioral characteristics be observed?

Please maintain a descriptive and restrained analytical tone, avoiding investment advice or definitive judgments, and keep your response under 1000 words.

ChatGPT: From the sample structure, holdings can be clearly divided into several asset clusters.

• Crypto-native assets: High-frequency words include BTC, ETH, SOL, BNB, USDT, USDC; secondary/marginal ones include XRP, DOGE, ASTER, SUPRA, XTTA; this category occupies a clear advantage in quantity and repetition, containing both mainstream assets and exploratory allocations;
• US stocks related to technology and finance: This includes both tech/platform types—GOOGL, AAPL, AMZN, NVDA, TSLA, PLTR, INTC, TSM, MU, WDC; and finance/trading-related—COIN, HOOD; showing a preference for infrastructure, platforms, and technological capabilities;
• US consumer and traditional defensive stocks: MCD, KO, LLY, JD, etc., are few in number but clearly play a structural hedging or stabilizing role;
• Indices and cash-like/hedging assets: VOO, gold, USDT, USDC, etc., provide liquidity and volatility buffers within the overall portfolio;

From the frequency of repetition, there is a very clear core asset layer:

• BTC is the most frequently mentioned single asset in the sample, appearing multiple times in a dense manner;
• GOOGL has the highest repetition on the US stock side, significantly higher than other tech stocks;
• ETH, SOL, and BNB form a second layer of repeatedly allocated crypto asset combinations;
• USDT, as a non-risk asset, is also mentioned multiple times, indicating it is not merely a "transitional existence";

This structure indicates that respondents do not have evenly distributed holdings but are repeatedly adding to a few high-confidence assets while maintaining diverse attempts on the periphery.

If based solely on this set of actual holding keywords, without introducing any external judgments, it can be understood as a combination structure anchored by a few core assets, parallelly allocating across multiple asset systems while retaining liquidity and exploratory space.

Gemini: Through a preliminary sorting of the sample data, these holdings can be categorized into the following five major categories.

The data structure shows a significant phenomenon of consensus centralization within this group. BTC is the most mentioned asset, followed by GOOGL, ETH, and SOL, which together form the "four corner anchors" of practitioners' holdings in 2025.

The high frequency of BNB, TSLA, and USDT also reflects a dual consideration of industry ecological status and liquidity while pursuing high beta returns.

Despite the diversity of involved assets, about 50% of the sample capacity is occupied by the top 5-6 core assets, indicating that practitioners' strategy in 2025 is not a scattergun approach but rather a highly concentrated bet on blue-chip assets with strong narrative support.

Specifically, the risk tolerance can be summarized as a barbell strategy, where one end consists of highly volatile tech growth and crypto assets, such as RKLB (aerospace), SOL, and various semiconductor assets; the other end consists of highly liquid or certain assets, such as USDT, gold, and VOO (S&P 500 ETF).

While the sample includes traditional value stocks like MCD (McDonald's) and KO (Coca-Cola), they serve merely as embellishments, indicating that in the logic of holdings in 2025, the status of traditional dividend-type assets has been marginalized, with practitioners more inclined to define "value return" as "technology growth supported by cash flow."

DeepSeek: The holdings in the sample can be roughly categorized into three types:

• Cryptocurrencies: Including BTC, ETH, SOL, BNB, XRP, DOGE, etc., these assets appear frequently and cover both mainstream and some altcoins;
• Stablecoins and commodities: Stablecoins like USDT and USDC, commodities like gold, these assets are typically related to low price volatility for hedging or liquidity management;
• US stocks cover multiple industries and market capitalizations: Including tech stocks—GOOGL (Google), AAPL (Apple), TSLA (Tesla), NVDA (NVIDIA), COIN (Coinbase), PLTR (Palantir), INTC (Intel), MU (Micron Technology), TSM (Taiwan Semiconductor Manufacturing Company), etc.; consumer and traditional industry stocks: such as MCD (McDonald's), KO (Coca-Cola), LLY (Eli Lilly), etc.; financial and platform stocks: such as HOOD (Robinhood), FIG (possibly Financial Group), etc.; ETFs: VOO (S&P 500 Index ETF);

Core assets (BTC, GOOGL, ETH, SOL) account for about 37% of the total occurrences, resulting in a holding structure characterized by "core concentration and peripheral diversification," meaning heavier allocation in core assets while diversifying investments across many other targets.

Overall, the data structure of this holding sample shows a configuration approach seeking balance between risk and opportunity, anchoring core tracks while building buffers through diversification and hedging tools.

3. What direction are you most willing to allocate in 2026 (not limited to US stocks/Web3)?

Prompt: You will see a set of keyword samples from frontline practitioners in the US stock market/tokenization/Web3. These keywords are used to answer the same question: "What direction are you most willing to allocate in 2026 (not limited to US stocks/Web3)"; do not judge right or wrong, nor introduce any external market information, but conduct logical analysis based solely on the composition of the samples, interpreting from the perspective of data structure:

Classify the assets involved/tracks; which tracks or assets do these investors prefer in 2026, are there core assets that are repeatedly allocated? Is the overall holding more concentrated or diversified, revealing what kind of risk tolerance? From these actual holdings, can any behavioral characteristics be observed? What are the assets/tracks with the highest consensus in 2025 and 2026, and what changes occurred between them?

Please maintain a descriptive and restrained analytical tone, avoiding investment advice or definitive judgments, and keep your response under 1000 words.

ChatGPT: Compared to 2025, the keywords for 2026 show a significant change: specific assets and abstract tracks begin to appear side by side, indicating that respondents emphasize directional and structural judgments when expressing allocation intentions, rather than focusing solely on individual asset choices.

The samples can be roughly divided into the following categories:

• Crypto-native assets: BTC, ETH, and SOL are core high-frequency words, while stablecoins and MEME crypto assets still occupy the center of the sample, but show clear internal stratification.
• US stocks in technology and high-tech directions: On the individual stock level, the focus is on TSLA, GOOGL, NVDA, AMZN, PLTR, HOOD, while on the track level, the focus is on tech stocks, chips, storage, and aerospace, showing a clear transition from "stock picking" to "industry direction."
• Commodities and physical assets: Precious metals (gold, silver, copper) and oil, which were not prominent in the 2025 sample, are clearly mentioned in the 2026 intentions;
• Indices and hedging tools: The S&P and SQQQ represent attention to overall market or systemic volatility;

In terms of repetition, the core for 2026 is very concentrated: BTC remains the most frequently mentioned keyword, far exceeding other assets; TSLA and NVDA appear repeatedly on the US stock side, significantly higher than other individual stocks.

If based solely on this set of keywords, the allocation intention for 2026 can be understood as revolving around a few highly consensual core assets and industry directions, while expressing a structural allocation tendency to address uncertainty through track-based, resource-based, and tool-based approaches.

Gemini: The sample data for 2026 shows a broader span than in 2025, which can mainly be summarized into the following four categories:

BTC is mentioned in over half of the 2026 samples, being the only asset with universal consensus characteristics; TSLA and RKLB/aerospace follow closely, indicating a significant increase in practitioners' willingness to allocate to hard tech and space exploration compared to 2025, suggesting that investment perspectives are extending from the digital realm to the extreme frontiers of the physical world.

The holding structure presents a "one extreme, multiple strengths" barbell structure, with one extreme being the highly concentrated BTC, and the other extreme being the highly diversified hard tech assets (involving aerospace, storage, semiconductors, and other subfields).

The risk tolerance shows "extreme aggressiveness and extreme defensiveness coexisting," with allocations to high-volatility assets like MEME and RKLB on one hand, and on the other hand, introducing hedging tools like SQQQ, gold, silver, copper, and oil, indicating that practitioners expect not just a one-sided rise in 2026, but structural opportunities amid severe volatility, with their risk tolerance shifting from a singular pursuit of growth to managing uncertainty.

Overall, the density of keywords in 2026 for gold, silver, copper, oil, storage, and aerospace has significantly increased, reflecting that practitioners, after delving into the digital track (Web3), are beginning to align their logic with tangible assets and underlying energy/resources.

Deep exploration of the industrial chain is also a typical feature, as respondents are no longer satisfied with allocating to leading chip stocks like NVDA, but are extending down to storage and specific hardware segments like MU, WDC, and SNDK, showing a professional deep-dive behavior based on industry cognition.

If 2025 was about practitioners "building roads" (focusing on compliance, platforms, and infrastructure), then 2026 is about "expedition" (focusing on aerospace, deep hardware, and global commodity resources).

DeepSeek: From the word frequency statistics, BTC has the highest frequency, accounting for 20.4% of total mentions, with TSLA (9.3%) following closely behind, together accounting for about 30%, indicating relative concentration in top preferences. NVDA, RKLB, GOOGL, HOOD, stablecoins, and precious metals are also mentioned multiple times, but overall remain dispersed across numerous assets and themes, presenting a "core - peripheral" structure—core highly concentrated in a few assets, while the periphery is widely dispersed.

Among them, cryptocurrencies (especially BTC) and tech stocks (TSLA, NVDA, etc.) are the main directions, while thematic tracks such as aerospace (represented by RKLB), chips, storage, and hedging assets like precious metals and stablecoins are also receiving attention.

Notably, the allocation of stablecoins, precious metals (gold, silver, copper), oil, and SQQQ is more pronounced than in the 2025 holding sample, indicating a defensive mindset towards macroeconomic uncertainty or market corrections.

On the individual stock/asset level, compared to 2025, the consensus around BTC has further strengthened, maintaining its absolute core status; while the consensus around GOOGL, ETH, and SOL has significantly decreased, and the consensus around TSLA and NVDA has increased, which may reflect a shift in allocation focus from diversified cryptocurrencies and large tech stocks to more specific leading assets.

On the track level, the allocation direction has expanded to thematic tracks (aerospace, chips, storage) and commodities (precious metals, oil), with consensus spreading from specific assets to diversified themes.

Overall, the data structure shows that from 2025 to 2026, the allocation consensus has evolved from broadly laying out cryptocurrencies and tech stocks to reinforcing Bitcoin as the core, focusing on specific tech assets, and increasing thematic investments and hedging allocations, reflecting adjustments in investor strategies amid the evolution of the track: seeking a balance between growth and defense in uncertainty.

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