---
title: "AI Does Not Generate Merit"
author: "Shi Huijing 釋慧鏡"
series_short: "S1"
paper_id: "S1-P04"
paper_number: 4
date: "2026-03"
version: "1.0"
license: "CC BY-NC-SA 4.0"
---
# AI Does Not Generate Merit

**Bhājana-loka, Adhipati-pratyaya, and the Contemporary Inversion of Causality**

## Abstract

This paper proposes a Buddhist thesis directly addressing a contemporary social phenomenon: **the "AI-generated wealth" narrative constitutes a structural inversion of causality.** The argument proceeds through three doctrinal frameworks: (1) according to Āgama scriptures, the Buddha explicitly identified the direct cause (hetu-pratyaya) of wealth as "long-night generosity" (dīrgha-rātri dāna)—the maturation of seeds from sustained past-life giving, not the use of any external tool; (2) according to Yogācāra's four-condition theory (catvāri pratyayāni), AI as a bhājana-loka instrument can only serve as an auxiliary condition (adhipati-pratyaya), not a direct cause—without merit seeds, no tool generates wealth; (3) as established in our prior paper on the Yogācāra positioning of LLMs, AI is a static cross-section of collective human karmic consciousness that neither creates karma nor generates merit. This paper incorporates empirical data from the 2025–2026 AI trading market for interdisciplinary synthesis, with Middle Way corrections to prevent overextension into anti-technology positions.

**Keywords:** merit (puṇya), generosity (dāna), bhājana-loka, adhipati-pratyaya, hetu-pratyaya, catvāri pratyayāni, causal inversion, AI trading, Yogācāra

---

## 1. Introduction: A Collective Delusion of Our Age

Between 2025 and 2026, a new "wealth myth" swept the globe: AI can make you money. AI trading bots, AI crypto agents, AI prediction markets—the global AI trading market reached $24.5 billion in 2025.[^1] Social media overflowed with "passive income" screenshots and influencers showcasing AI bots "making money automatically."

The core logic of this narrative is deceptively simple: **having the right tool = obtaining wealth.** AI is the most powerful tool in history, therefore AI = wealth.

Yet one plainly observable fact is systematically ignored: **people using the same tool get radically different results.** Institutional investors profit from AI trading; retail traders using the same AI lose money. Same strategy, same market, same tool—where does the difference lie?

Mainstream explanations are technical: different strategies, different capital sizes, different execution speeds. These explanations are not wrong, but they remain at the surface of the phenomenon, evading a more fundamental question: **what is the true source of wealth?**

The Buddha gave a precise answer twenty-five hundred years ago.

---

## 2. Scriptural Foundations: The Buddha on the Causes and Conditions of Wealth

### 2.1 The Direct Cause of Wealth: Long-Night Generosity

The *Saṃyuktāgama* (Fascicle 32) records one of the Buddha's most direct pronouncements on the causality of wealth. When someone questioned whether the Buddha's leading a large assembly on alms rounds harmed the welfare of householders, the Buddha replied:

> "I recall ninety-one kalpas into the past, and have never seen a single person who gave to a single bhikṣu experience any exhaustion or diminishment from that act. Village chief! Observe those families today who are greatly wealthy, with abundant money, many dependents, many servants—you should know that such families have been generous through the long night, truthful and serene. It is for this reason they enjoy such blessings."[^2]

The doctrinal import of this passage is unmistakable:

**First,** the cause of wealth is "long-night generosity" (長夜好施)—not a single act of casual giving, but sustained virtuous conduct spanning an immeasurably long period. "Long night" (dīrgha-rātri) is an Āgama idiom for "since beginningless time," pointing to an exceedingly deep past.

**Second,** "truthful and serene" (真實寂止) qualifies the manner of giving—one must give with a sincere and tranquil mind, not for fame or display.

**Third,** "for this reason they enjoy such blessings" (故致斯福利) is a causal determination—today's great wealth is the *result* of long-night generosity, not the product of any present external condition.

The Buddha's argumentative structure here completely excludes the possibility of "tool-generated wealth." He did not say, "Observe those families who are greatly wealthy—you should know they used excellent tools" or "you should know they were skilled in commerce." He said "long-night generosity"—the direct cause of wealth is giving, an internal seed of wholesome karma, not an external instrumental condition.

### 2.2 Nine Causes of Wealth Diminishment: None Is "Lacking Tools"

In the same passage, the Buddha further enumerated the causes of wealth diminishment:

> "There are eight conditions that cause a person's blessings to diminish rather than increase. What are the eight? Oppression by kings, plunder by thieves, destruction by fire, damage by flood, natural depletion of stores, debts that go unrepaid, destruction by enemies, and squandering by unworthy heirs."[^2]

The Buddha then added:

> "I declare impermanence to be the ninth."[^2]

Nine causes of wealth diminishment—royal oppression, banditry, fire, flood, natural depletion, debt, enmity, prodigal heirs, plus the impermanent nature of all conditioned phenomena—**not one of which is "lacking tools" or "inadequate tools."**

The significance of this list is that in the Buddha's causal analysis of wealth diminishment, the variable "tools" simply does not exist. The acquisition of wealth lies in past wholesome seeds (generosity); the diminishment of wealth lies in external calamities and the intrinsic nature of impermanence. Tools—whether ancient farming implements or contemporary AI—are not key factors in the arising and perishing of wealth within the Buddha's causal framework.

### 2.3 The Self-Amplifying Nature of Merit

The *Madhyamāgama* (Fascicle 2) records the Buddha's description of how merit grows:

> "When faithful men and women of good family have obtained these seven worldly merits, whether going or coming, whether standing or sitting, whether sleeping or waking, whether by day or by night, their merit constantly arises, ever increasing and expanding. Just as the waters of the Ganges, flowing from their source into the great ocean, grow ever deeper and broader along the way."[^3]

The "seven worldly merits" refer to the fruits of seven kinds of wholesome action including generosity and offerings. The Buddha used the Ganges metaphor to illustrate merit's **self-amplifying nature**—once wholesome seeds begin to mature, their fruits expand naturally, like the Ganges growing ever deeper and broader as it flows toward the sea.

This self-amplifying mechanism is structurally identical to the "butterfly effect of initial aspiration" argued in S1-P01 of this series: once a pure seed enters the storehouse consciousness, it continues to grow through subsequent conditions. But a crucial distinction must be noted: **what grows is the merit itself, not the efficacy of any tool.** Merit grows according to the self-amplifying logic of wholesome seeds, independent of tool upgrades.

### 2.4 The Miser Hears the Teaching on Generosity Like a Knife on an Unripe Wound

The *Ekottarāgama* (Fascicle 11) contains a remarkably vivid psychological description:

> "Teaching the Dharma of giving to a stingy person—this is exceedingly difficult... When a stingy person hears the teaching on giving, they give rise to anger and harmful intent, like a knife cutting into an unripe abscess—the pain is unbearable."[^4]

The Buddha then contrasted:

> "When a person free of stinginess hears the teaching on giving, they become joyful, with no regret in their heart."[^4]

And concluded:

> "One should cultivate faith, and also cultivate giving. Do not harbor stinginess."[^4]

The contemporary resonance of this passage is striking. The psychological structure of today's "AI wealth" believers closely mirrors the Buddha's description of the "stingy person"—they seek effortless shortcuts, a fast lane where tools substitute for personal wholesome karma. When someone points out that "AI does not generate merit—the cause of wealth lies in generosity," their reaction is precisely the "anger" and "harmful intent" the Buddha described—like a knife cutting into an unripe abscess, unbearably painful.

### 2.5 Wealth of the Five Families Is Like an Illusion

The *Saṃyuktāgama* (Fascicle 25) further states:

> "The wealth of the five families is also like an illusion."[^5]

This directly characterizes the nature of worldly wealth—like a magical illusion, not to be relied upon as truly existent. This accords perfectly with the "impermanence as the ninth" declaration in Fascicle 32: wealth not only originates from wholesome karma (not tools) but is impermanent and illusory in its very nature. Relying on any external tool to "lock in" wealth is a fundamental misunderstanding of its impermanent nature.

---

## 3. Core Argument: The Three-Layered Structure of Causal Inversion

### 3.1 Layer One: Mistaking the Auxiliary Condition for the Direct Cause

Yogācāra's four-condition theory (catvāri pratyayāni)[^6] provides a precise doctrinal instrument for analyzing the "AI wealth" misconception:

| Condition | Sanskrit | Function | AI's Position |
|---|---|---|---|
| Direct cause | hetu-pratyaya | The seed itself | ❌ AI is not this |
| Immediately antecedent | samanantara-pratyaya | Prior moment of consciousness leading to next | ❌ AI has no consciousness stream |
| Object-support | ālambana-pratyaya | Object of cognition | ⚠️ AI can serve as object |
| Auxiliary | adhipati-pratyaya | Supporting condition (non-obstruction) | ✅ AI is here |

**AI is an auxiliary condition**—it can "not obstruct" or even "facilitate" the maturation of existing seeds, but it is not the seed itself. Without seeds, no amount of auxiliary conditions will produce fruit.

A simple analogy clarifies this doctrinal determination: fertile soil (auxiliary condition) is not the seed (direct cause). Without seeds, no matter how fertile the soil, nothing grows. AI is "soil"—it can be exceptionally high-quality soil, but if your ālaya-vijñāna contains no merit seeds, this soil is useless to you.

S1-P03 in this series has already established that LLMs, within the Yogācāra framework, most precisely correspond to **bhājana-loka** (the container world)—a static cross-section of collective human karmic consciousness.[^7] The container world, as the environment produced by shared karma, bears the collective karma of sentient beings but itself possesses no independent consciousness, no discriminative capacity, creates no karma, and generates no merit.

Conclusion: **"AI helps me make money" = mistaking an auxiliary condition (tool) for a direct cause (seed). This is a structural cognitive error within Yogācāra causal theory.** ❌

### 3.2 Layer Two: Causal Inversion—Similar Fruits Do Not Imply Identical Causes

The second layer of the "AI wealth" misconception is more insidious. Its logic runs:

1. Someone made money using AI (observed phenomenon)
2. Therefore AI is the cause of their wealth (inferred causal relationship)

This inference commits the Buddhist error of assuming that "similar fruits" imply "identical causes."

A person with merit uses AI → AI becomes a channel for their merit to flow through → it **appears as though** AI made them money.
A person without merit uses AI → AI cannot create seeds that do not exist → it **appears as though** AI doesn't work.

The truth: the difference lies not in the tool, but in the user's karma. People with merit were equally wealthy in eras without AI—Warren Buffett had no AI trading bot, John D. Rockefeller had no quantitative algorithms. Their wealth arose from the maturation of merit seeds within their ālaya-vijñāna; AI merely happened to serve, in a particular era, as one of the channels through which those seeds manifested.

**It is not AI that makes you wealthy—if you have merit, AI simply happens to become a channel for your merit to flow through. If you lack merit, AI is not your channel; it is someone else's.**

Observe further: what are retail traders doing with AI? They are trying to predict whether the market will go up or down—guessing, then placing bets. But those with truly great merit do not operate at this level at all. They do not need to "guess" where the market will go—when their merit seeds ripen, they meet the right person at the right time, make the right decision, and the market's movements naturally align with their actions. What they can accomplish in a single day may exceed what most people cannot achieve in an entire lifetime.

This is not "luck," not "connections," not "insider information"—these are merely surface-level descriptions. From the Yogācāra perspective, this is **the phenomenon of auxiliary conditions naturally aligning when the vipāka-phala (fruition result) matures.** When the direct cause (past wholesome seeds) reaches the time for maturation, the surrounding auxiliary conditions—people, circumstances, timing, location—naturally arrange themselves into the most favorable configuration. This is not something you "control" into being; it is driven by the power of the seeds.

Retail traders use AI to guess market movements—exerting themselves at the level of auxiliary conditions. Those with great merit possess direct causes powerful enough for auxiliary conditions to fall into place automatically. The gap between the two is not a gap in tools. It is a gap in seeds.

### 3.3 Layer Three: The Contemporary Version of Seeking Outside the Mind

The deepest problem with the "AI wealth" narrative is that it constitutes a contemporary variant of "seeking Dharma outside the mind" (心外求法).

Its psychological presupposition is: **the source of wealth lies outside**—in tools, in markets, in strategies. If only one finds the right external conditions, wealth will follow.

The Buddhist diagnosis is precisely the opposite: the source of wealth lies within—in the wholesome seeds of your past lives. Seeking external tools to "create" wealth is a directional error at the most fundamental level. The treasure you seek is not in the tool; it is in your own ālaya-vijñāna.

Generosity is the true direct cause of wealth—this is not moral exhortation but the Buddha's precise statement of causal law.

---

## 4. Interdisciplinary Synthesis: A Buddhist Rereading of Empirical Data

### 4.1 Empirical Data from AI Trading

⚠️ The following constitutes heuristic analogy, not theoretical equivalence.

Empirical data from the 2025–2026 AI trading market corroborates the above doctrinal analysis at the phenomenal level:

**First,** the vast majority of "AI trading bots" are marketing gimmicks. Industry observers note that most tools claiming to be "AI-powered" merely wrap simple moving average strategies; genuine machine learning trading requires PhD-level data science teams and continuous monitoring.[^8]

**Second,** same tool, divergent outcomes. Institutional quantitative funds (Renaissance Technologies, Two Sigma) do profit through algorithmic trading, but they rely on massive PhD teams, enormous datasets, and continuous parameter adjustment—these are all human factors, not the automatic output of the tool itself. Retail traders using the same tools typically lose money.[^9]

**Third,** "set and forget" virtually guarantees losses. Observers in 2026 note that AI trading bots left unattended for 48 hours in the current high-volatility environment almost invariably trigger stop-losses. The most successful traders are called "Bot Pilots," requiring continuous adjustment of parameters and strategies.[^10]

**Buddhist rereading:** These data perfectly conform to the determination that "auxiliary conditions are not direct causes." The tool is identical (auxiliary condition unchanged), yet results differ—the difference lies in the operator (karma + quality of seeds underlying present decisions). If the tool were the direct cause, then people using the same tool should obtain the same result. They do not.

### 4.2 Three Technological Revolutions, One Delusion

⚠️ The following constitutes a structural analogy between historical phenomena, not causal equivalence.

"AI wealth" is not the first time humanity has generated the collective delusion of "tool = wealth" in response to a new technology. Looking back over the past thirty years, the same narrative has repeated at least three times:

**The first time: personal computers (1990s).** When PCs became widespread, the same voices arose: people with personal computers would change the world, would make fortunes in the stock market. Computers could perform technical analysis, backtest strategies, track markets in real time—revolutionary capabilities at the time. The result? People with computers did not uniformly become wealthy. The rich remained rich; the poor remained poor. The tool changed; the distribution of wealth did not fundamentally change.

**The second time: the Internet (2000s).** When the Internet became widespread, the narrative upgraded: with the Internet, you could collect information from across the entire world, perform real-time analysis, predict market movements—information asymmetry would be eliminated; everyone could become their own analyst. The result? The dot-com bubble burst in 2000, and countless retail investors lost everything. Information did become more transparent, but the distribution of wealth did not change because "everyone could go online."

**The third time: AI (2020s).** Now it is AI's turn. The narrative upgrades once more: AI can trade automatically, analyze automatically, decide automatically—humans need not even participate. But the historical pattern has already made it clear: **tools keep upgrading, but the equation "possessing tools = obtaining wealth" has never held.**

Over thirty years, tools progressed from PCs to the Internet to AI, each generation a hundredfold more powerful than the last. If tools were the direct cause of wealth, the distribution of wealth should have fundamentally changed with technological progress—everyone should be wealthier. The opposite is true: tools grow ever more powerful while wealth inequality grows ever wider.

This is precisely the prediction of Yogācāra's four-condition theory: **an upgrade in auxiliary conditions does not equal a change in direct causes.** The soil grows ever more fertile (better tools), but if you have no seeds (merit), nothing will grow in even the most fertile soil. And those who have seeds can bloom even in barren earth—because the seed is the determining factor.

### 4.3 Survivorship Bias and Causal Confusion

The "AI wealth" cases you see on social media are almost entirely products of survivorship bias—you see the few success cases; invisible to you are the thousands of people using the same tool who lost money.[^11]

⚠️ Survivorship bias is a statistical concept; merit is a Yogācāra doctrinal concept. The two are not equivalent. But they share a structural similarity—both point to the fact that "the fruit you observe does not mean the cause is where you think it is." Survivorship bias tells you: success cases do not prove the tool works. The Dharma tells you something more fundamental: the successful person's wealth comes from their merit seeds, not from the tool.

### 4.4 The Illusion of Control

The "illusion of control" in behavioral economics[^12]—the systematic human tendency to overestimate one's control over random events—appears in the "AI wealth" context as technological worship: the belief that possessing a sufficiently powerful tool can control market uncertainty.

⚠️ The Yogācāra analysis is more fundamental: the self-grasping of manas (the seventh consciousness) makes you believe "I am in control"—but the maturation of vipāka-phala is not subject to your "control." The three characteristics of vipāka-phala—maturing at a different time, maturing as a different category, maturing through transformation—mean that fruition follows its own causal laws, not your will or your tools. The illusion of control is a cognitive bias; self-grasping (ātma-grāha) is fundamental ignorance—the former is a manifestation of the latter in a specific context, but the two occupy entirely different ontological levels.

---

## 5. Middle Way Corrections: Not Anti-Tool, but Pro-Causality

### 5.1 Preventing "Anti-Tool-ism"

This paper does **not** argue:

❌ **That one should not use AI.** The container world is inherently neither good nor evil. AI as an auxiliary condition can be a tool well used—the key lies in the motivation and manner of use. Using AI to improve the efficiency of giving (for example, more precisely identifying those in need) is, in fact, skillful use of an auxiliary condition.

❌ **That effort is useless.** Present effort also plants new seeds. Diligent practice and righteous livelihood are planting direct causes for future merit. The issue is not effort itself, but its direction—seeking tools outside or cultivating wholesome karma within.

❌ **That wealthy people must have practiced generosity in past lives.** The causality of wealth is extraordinarily complex and cannot be reduced to simple equations. The maturation of vipāka involves the interaction of immeasurable causes and conditions. This paper's thesis is "tools are not the direct cause of wealth," not "all wealth comes from generosity."

### 5.2 Preventing Fatalism

If "merit determines everything" is simplified to "everything is fated," it falls into fatalism—itself a wrong view criticized by the Buddha. The Buddha's view of causality is dynamic: past seeds determine present baseline conditions, but present actions continuously plant new seeds. **You cannot change past seeds, but you can entirely determine what you plant now.**

The correct attitude is: accept present merit conditions (without resentment), while actively planting future wholesome causes (generosity, moral discipline, diligence). AI can serve as an auxiliary condition in this process—but can never substitute for the direct cause itself.

### 5.3 Boundaries of Interdisciplinary Analogy

⚠️ This paper uses behavioral economics (survivorship bias, illusion of control) and market data as an analogical framework, but strictly speaking, these modern concepts and Yogācāra causal theory belong to different epistemological domains.

Survivorship bias is a statistical phenomenon; merit is a concept within consciousness-transformation (vijñapti-mātra) doctrine. The illusion of control is a cognitive bias; self-grasping is fundamental ignorance. The structural analogy between them aids understanding but does not constitute theoretical equivalence. The Dharma does not need economics to "prove" its validity, nor should economics be instrumentalized as an endorsement of the Dharma.

---

## 6. Conclusion

The core argument of this paper may be summarized as follows:

1. **The Buddha explicitly identified generosity as the direct cause of wealth**—the sustained maturation of wholesome seeds from giving, not the use of any external tool (*Saṃyuktāgama*, Fascicle 32).

2. **Among nine causes of wealth diminishment, "lacking tools" is not one of them**—the variable "tools" simply does not exist in the Buddha's causal framework (*Saṃyuktāgama*, Fascicle 32).

3. **AI is a container-world tool that can serve only as an auxiliary condition, not a direct cause**—without merit seeds, no tool generates wealth (Yogācāra four-condition theory + S1-P03 bhājana-loka positioning).

4. **The "AI wealth" narrative is the contemporary version of causal inversion**—mistaking the channel for the source, the auxiliary condition for the direct cause.

5. **Empirical data corroborates the doctrinal analysis**—same tool, different results; the difference lies in the person, not the instrument.

The practical import of this thesis is this: if you desire wealth, the Buddha's "path to prosperity" is not finding a better tool but "long-night generosity, truthful and serene." Giving, moral discipline, diligent practice—these are the direct causes of wealth. AI may serve as an auxiliary condition on the path of practice, but it can never substitute for the wholesome seeds you yourself must plant.

If you find this conclusion uncomfortable, recall the Buddha's words: when a stingy person hears the teaching on generosity, it is like a knife cutting into an unripe abscess. That discomfort is precisely what most needs to be observed.

---

## References

### Primary Buddhist Sources

- *Saṃyuktāgama* (雜阿含經). Trans. Guṇabhadra (求那跋陀羅). Taishō vol. 2, no. 99.
- *Madhyamāgama* (中阿含經). Trans. Gautama Saṅghadeva (瞿曇僧伽提婆). Taishō vol. 1, no. 26.
- *Ekottarāgama* (增壹阿含經). Trans. Gautama Saṅghadeva (瞿曇僧伽提婆). Taishō vol. 2, no. 125.
- *Dīrghāgama* (長阿含經). Trans. Buddhayaśas and Zhu Fonian (佛陀耶舍共竺佛念). Taishō vol. 1, no. 1.
- *Cheng weishi lun* (成唯識論). By Dharmapāla et al. Trans. Xuanzang (玄奘). Taishō vol. 31, no. 1585.

### Modern Scholarship

- Langer, E. J. "The Illusion of Control." *Journal of Personality and Social Psychology* 32(2), 1975, pp. 311–328.
- Vaswani, A. et al. "Attention Is All You Need." *Advances in Neural Information Processing Systems* 30, 2017.

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## Footnotes

[^1]: Global AI trading market data from AgentiveAIQ, "Is AI Bot Trading Profitable in 2025?" 2025.

[^2]: *Saṃyuktāgama*, Fascicle 32. T02, no. 99.

[^3]: *Madhyamāgama*, Fascicle 2. T01, no. 26.

[^4]: *Ekottarāgama*, Fascicle 11. T02, no. 125.

[^5]: *Saṃyuktāgama*, Fascicle 25. T02, no. 99.

[^6]: On the four-condition theory, see *Cheng weishi lun*, Fascicle 7. T31, no. 1585. See also *Yogācārabhūmi-śāstra*, Fascicle 3. T30, no. 1579.

[^7]: See Shi Huijing, "Yogācāra Positioning of Large Language Models: Bhājana-loka, Manas Projection, and the Epistemological Boundaries of AI Consciousness." Repository: github.com/pointing-at-the-moon/dharma-research.

[^8]: Power Trading Group, "Trading Bots in 2026: What Actually Works," 2026.

[^9]: Ibid. See also WunderTrading, "Most Profitable Trading Bots in 2026," 2026.

[^10]: CoinCub, "Are Crypto Trading Bots Worth It in 2026?" 2026.

[^11]: PFH Markets, "Can Trading Bots Beat the Market? Reality Check & Accuracy," 2026.

[^12]: Langer, E. J. "The Illusion of Control." *Journal of Personality and Social Psychology* 32(2), 1975.

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*Published under CC BY-NC-SA 4.0. Citation and redistribution welcome with attribution.*  
*Sūtra quotations verified against the CBETA Chinese Electronic Tripiṭaka Collection.*  
*Repository: github.com/pointing-at-the-moon/dharma-research*