Researchers Finance Comedy: Excellent Innovative Strategies to Exploit Postdoctoral Researchers in AI Era
submitted date:20260604,
by DANIEL SAATCHI, Editor at AIJAM
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Abstract
“Hello World” is the classic first step for programming dummies — a symbolic initiation into machine logics and systems thinking. After years of programming, computer simulations, design computing, and working on artificial intelligence, our editor began witnessing a new drama research curiosity: Researchers Finance Comedy — the terrifyingly funny documentary of how academia found innovative ways of policies to invests in human intellect while ethically defaulting on the low payments. This whitepaper uses a rhetorical and sarcastic tone to critique the systemic dysfunction and downfall within academic institutions, particularly in the research funding ecosystem where people are starving while writing high impact papers for rich corporates. You know when the boundary between professionalism and exploitation blurs, we don’t just face misconduct — we face a research gap. And gaps, in academic logic, are always research opportunities. The methodology of this study introduces twenty-seven excellent strategies that that high performance supervisors and institutions should systematically abuse postdoctoral researchers — not as endorsement, but as an ironic taxonomy of normalized harm we are adapted; Yes, Charles Darwin nailed it that the surviving species are not the most intelligent ones, are the most adaptable ones. If you are not adapting these innovative twenty-seven strategies, you won’t survive as a highly cited professor and if you don’t survive as a professor, your beloving institution labels you as a low performance postdoctoral researcher did not meet the organizational demands and then no one cares and respect how much you are intelligent.
1. Introduction
We wrote this paper sarcastically in promoting academic bullying in real world comedy-drama for underpaid postdoctoral researchers operating [1][2]. If we cannot write creative new style papers like this sense of humor in science for unethical leadership, then our humanity is very near ending for a day that double standard ethical AI machines silencing humans for their freedom of speech and creativity. The postdoctoral researcher is often positioned as both the intellectual engine and the expendable component of the academic system. They publish, teach, design experiments, train models, and sustain institutional prestige — yet their financial and psychological stability is treated as an afterthought or in other words; postdocs are educated slave opening Revolut account to trade shitcoins, because many of them literally cannot buy even one bitcoin!In the AI era, the irony is sharper: we are building surprisingly intelligent systems capable of empathy simulation while our own institutions increasingly lack real human empathy less than AI[3]. The Researchers Finance topic seeks to play around this paradox by analyzing how financial, ethical, and hierarchical imbalances are operationalized in academia[4]. Postdoctoral period has evolved into an algorithmic loop of temporary contracts, invisible modern slavery, and academic gaslighting to become a professor one day hopefully. Postdoc researchers are praised as intellectual assets while treated as disposable data points in the institutional economy. Funding bodies such as Marie Skłodowska-Curie Actions (MSCA) programs speak of excellence, career progress, impact, and innovation — yet the hidden curriculum often teaches obedience, burnout, low payments and silence. The objective of this whitepaper is to explore the performative logic behind this imbalance, framed as “Researchers Finance Strategies.” The irony here is intentional: to finance is to invest — and institutions have found best innovative ways to extract intellectual profit while maximizing unethical cost, maximizing competitions, and minimizing fundings for postdocs.
In this whitepaper, the best twenty-seven strategies are commonly innovated by institutions and professors to exploit postdocs and presented for low performance ethical professors who are left behind with less high quality postdoctoral researchers who are burning their funds. Finally, a table is presented to discuss researchers finance is indeed something between entrepreneurial finance and behavioral finance that attracted editor's attention to explain and write this best paper of year worth more than Nobel prize to let future Nobel prize winners or field’s medal first female mathematician not to starve or die or getting cancer because of poor diet and life quality in the early years of low funding and middle of their breakthrough papers. We should distribute the wealth among researchers better, but not giving them underpaiments.
2. Methodology
Our new proposing way of science journaling applies a satirical ethnographic method, grounded in participatory observation within international AI research programs, including EU-funded postdoctoral environments. Data were collected through real-world observation, professional correspondence, and existential despair.To systematize this complex socio-economic academic exploitations way more efficient, we propose the following twenty-seven excellent methods as strategies commonly employed by high performance supervisors and institutions to effectively “finance” their subordinated researchers into exhaustion. Unfortunately, some of these supervisors and institutions are busted over the last years for academic misconduct in google citations with financial frauds which is amazingly not our concern. We understand they have family to feed and postdocs are just commodities and sometimes their life quality is measure with less than half of a bitcoin. Anyway, let’s review quickly about the best research finance strategies in the following:
2.1 Cancel Their Fund or Even Fellowship
Financial unpredictability as a motivational variable. Deprive them of support mid-project to measure survival response. Your postdoc should keep being worried about sleeping in street rather than in comfort flat or even a room in a shared flat.
2.2 Ghost Them Frequently
Apply the disappearing mentor technique to test the postdoc’s autonomous problem-solving under emotional deprivation. Appear when you feel the postdoc is not working or very confused what to do; then apply the third strategy.
2.3 Yell Loader at Them
Measure your acoustic feedback as performance enhancement. Observe cortisol levels as indicators of compliance. You can found its trace on their scared eyes and their heads tilting down while begging for mercy from you. Then pitch your fourth strategy right away.
2.4 Deny Access to Facilities
Infrastructure withdrawal as a creativity stimulus. Measure productivity under material scarcity. For example, ask your AI postdoctoral researchers to train on their personal weak laptop or more creatively on their mobile phone. Never let them access to have superclusters or cloud services. Even if they are idle
2.5 Silence Their Objections
Use this strategy if they overreacted to your applied fourth strategy. Use institutional diplomacy protocol: label all objections as “unprofessional communication.”
2.6 Keep Expectations Way More Ambiguous
Design tasks without clear objectives. The resulting confusion enriches qualitative data on self-blame mechanisms. Then help in amplifying their self-blame and choir better on your postdocs.
2.7 Assign Unrealistic Workloads To Maximize Exploitations
Experimental overload testing. Document emotional breakdowns as control variables. Call them at 2:00 AM in morning asking about his next idea and future plan. Don’t let them sleep idle!
2.8 Ignore Mental Health and Go for Traumatization
Normalize chronic anxiety as an environmental constant. Measure how long burnout is misdiagnosed as “dedication.” You know these days therapists also looking for more trauma patients and you will help the mental health economy. The less healthy postdocs is directly associated with mental health economy booming, particularly working and fit in “lipstick effect” economy we are living.
2.9 Blur Mentorship and Embrace Full Bullying with Reverse Psychology
Introduce mixed signals to simulate emotional dependency and amplify their post-trauma stress disorder (PTSD). Observe the evolution of guilt-driven productivity. Use reverse psychology for good works and good results; it will boost their performances more and decrease their expectations from you. We highly recommend avoid wasting your money to purchase XSEALD personalized trauma telemedicine app for their post-trauma care and PTSD level monitoring with your funding for affected postdocs.
2.10 Remove Well-being Resources as Much as Possible
Eliminate psychological safety nets. Treat exhaustion as a methodological purification process. Humiliate and be sarcastic to postdocs. Even if they are doing well, be super toxic to them, pay less, and threaten them with firing ocassionally. If you went too far hug them to squish and release Oxytocin in their body. Then do it again!
2.11 Evaluate Unfairly To Reach Suicidal Point
Randomize evaluation criteria. The lack of transparency increases resilience data. Be unfair to the postdoctoral researchers, it will motivate them to try harder and results will be more fruitful for supervisor to dominate the conversation and confident leadership.
2.12 Resist Innovation and Be a Stoned Arse Boss
Suppress new ideas to maintain cultural stability. Innovation control group: silence. If you found a creative postdoctoral researcher, silent him more than non-creative one. Let him feel ashamed and then let him
2.13 Introduce Institutional Politics
Inject competition disguised as collaboration. Track morale decline as an indicator of “realism training.”
2.14 Demand Excessive Publications
Maximize output metrics. Each paper represents one step closer to emotional bankruptcy.
2.15 Restrict Research Autonomy
Implement micromanagement as mentorship. Observe creativity compression under authority pressure.
2.16 Disregard Intellectual Property
Appropriate data and ideas upward. This models real-world academic capitalism efficiently.
2.17 Don’t Forget to Omit Acknowledgment in Last Minutes
Erase contributions to test humility thresholds in last minutes.
2.18 Create a “Do Not Disturb” Environment
Make the workspace so oppressive that the postdoc feels trapped.
2.19 Force Continuous Overwork
Require constant overtime without breaks, ensuring burnout is the norm.
2.20 Manipulate Funding Sources
Shift funding between projects unpredictably to keep the postdoc in constant financial uncertainty.
2.21 Reduce Autonomy in Decision-Making
Let higher-ups make all decisions; leave the postdoc to follow orders blindly.
2.22 Suppress Recognition and Praise
Withhold positive feedback entirely; let only negative critiques flow.
2.23 Force Unreasonable Travel
Demand extensive travel that interferes with research schedules and personal life.
2.24 Undermine Peer Support
Encourage isolation among postdocs, discouraging collaboration and peer support.
2.25 Promote Toxic Competition
Create an environment where postdocs feel they must compete with each other for every resource.
2.26 Enforce Strict Time Management Rules
Implement rigid schedules that leave no room for flexibility, forcing the postdoc to sacrifice personal time.
2.27 Foster a Culture of Blame
Make blame the default reaction to any failure or misstep, ensuring postdocs feel constantly under scrutiny.
3. Results & Discussion
The above twenty-six strategic methods were not hypothetical constructs but observed behavioral trends across international research ecosystems. Their recurrence suggests a systemic normalization of abusive practices disguised as professional rigor. Patterns indicate that financial instability, hierarchical opacity, and ethical relativism function as institutional design features, not flaws. The modern academic system — particularly within high-demand fields like AI — has optimized exploitation to the point of invisibility.Interestingly, participants exposed to multiple strategies often developed meta-coping behaviors: humor, dissociation, or relocation to industry. These, in turn, generate data on how intelligence — both artificial and human — adapts to hostile systems. Researchers finance has some similarities to entrepreneurial finance and behavioral finance in behavioral economics.
| Aspect | Researcher's Finance | Entrepreneurial Finance | Behavioral Finance |
|---|---|---|---|
| Primary Goal | Fund scientific or academic research to generate new knowledge or technology. | Secure and manage funding to start, operate, and scale a new business. | Understand how psychological and emotional factors influence financial decisions. |
| Main Actors | Researchers, universities, public agencies, foundations. | Entrepreneurs, founders, small business owners, incubators. | Economists, investors, psychologists, financial analysts, policymakers. |
| Funding Source | Government grants, research councils, philanthropic foundations. | Personal savings, crowdfunding, friends & family, bank loans, angel investors. | Not a funding source — theoretical and empirical discipline. But affects funds a lot. |
| Capital Logic | Non-profit: funding for discovery and societal benefit. | Profit-oriented but resource-limited: focuses on survival, growth, and cash flow. | Studies decision-making under uncertainty and bias in all financial contexts. |
| Evaluation Criteria | Scientific merit, feasibility, innovation, impact potential. | Business model viability, cash flow forecast, founder credibility, local demand. | Validity of behavioral models, predictive power, psychological realism. |
| Risk Management | Peer review, replication, incremental funding, compliance. | Bootstrapping, lean operation, flexible pivots, adaptive budgeting. | Models cognitive biases (loss aversion, overconfidence, anchoring, herding). |
| Financial Instruments | Grants, fellowships, research contracts. | Bank loans, revenue-based financing, crowdfunding, microloans, grants, angels, VC. | Not instruments — applies to all instruments by analyzing investor behavior. |
| Return on Investment (ROI) | Knowledge creation, publications, patents, training talent, retaining researchers. | Sustainable revenue, profit, growth, personal income. | Insight into market psychology and improved financial decision-making. |
| Time Horizon | Long-term (3–10+ years). | Short to medium-term (1–5 years to break even). | Continuous research and application. |
| Decision Biases | Overemphasis on novelty or reputation, political influence in funding. | Optimism bias, overconfidence, attachment to own ideas. | Central focus — identifies and quantifies such biases. |
| Outcome Measurement | Papers, patents, citations, societal benefit. | Cash flow stability, customer acquisition, business survival rate. | Predictive accuracy of behavioral models, financial behavior insights. |
| Ethical Dimension | Strict ethics (IRB, data integrity, public accountability). Academic Bully, Retailiation, Postdoc Exploitations | Practical ethics — balancing profit with fairness, sustainability, and responsibility. | Studies moral hazard, investor manipulation, market irrationality. |
4. Conclusion
The discipline of Researcher's Finance makes us to examine how emotional, intellectual, and financial capital are traded within the behavioral knowledge economy similar to behavioral finance. The sarcasm in this article serves as a anit-survival language for those navigating academia’s moral paradoxes. When a system fails in saving its systematic employments, the efflux of dropouts will form another system. This happened before in 1209 when University of Cambridge was founded by group of dropout scholars over dispute and political academic nonsense after leaving University of Oxford. Cambrdige won almost twice of Oxford Nobel prizes in 2025. In recent years, there is a massive dropout postdoctoral researchers reporting low payments and academic bullying before professorships who went into industry. The funding for researchers become less available over political decisions at governmental level because of mistrust and miseuse by professors who wasted fundings for google citations rather than meaniningful impacts.References
[1] Kshirsagar, P. (2026) “The Hidden Cost of MSCA Postdoctoral Fellowships: €469 Million and Counting,” The Science Talk. Available at: https://thesciencetalk.com/news/blog-perspectives/hidden-cost-msca-postdoctoral-fellowship-2025/
[2] Saatchi, D. (2026) "AI Research Ethics: Discommendation for European Institutional Responsibilities under Marie Skłodowska-Curie Actions". Microsoft Github, Available at https://github.com/danielsaatchi/msca-ai-discommend-for-european-hosts-ethics
[3] Azoulay, P., Sadun, R. and Scur, D. (2026) “The U.S. Research Talent Pipeline Is in Trouble,” Harvard Business Review. Available at: https://hbr.org/2026/06/the-u-s-research-talent-pipeline-is-in-trouble
[4] Duan, Y., Memon, S.A., AlShebli, B., Guan, Q., Holme, P. and Rahwan, T. (2025) “Postdoc publications and citations link to academic retention and faculty success,” Proceedings of the National Academy of Sciences of the United States of America (PNAS), 122(4), e2402053122. Available at: https://doi.org/10.1073/pnas.2402053122
Biography of Author
DANIEL SAATCHI, PhD
Artist | Computational Scientist | AI Architect & Concept Technology Designer
Google Scholar: https://scholar.google.com/citations?user=Uv7KQxEAAAAJ&hl=en
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