Every politically educated person knows the super-rich families, such as the Rothschilds, Rockefellers, and Morgans, exert their power over and by big banks.
Not only is their presence heavily evidence-based (if someone would like to question it), but they set what economic phenomena will occur (to their benefit).
But since all the power and control of people were via banks, newly emerged AI is in huge opposition to this. People won’t have jobs and the pricier thing would be control of AI, therefore of whole economics. The majority of jobs will be replaced by AI.
So banks or super-rich families must take control over it, otherwise it could be the end of their power. AI is threatening Big Banks.
What do the Big Banks do and how influential are they?
The global banking system is a powerful and interconnected network that plays a central role in shaping economies, influencing governments, and directing the flow of capital across the world. Central banks, such as the Federal Reserve or the European Central Bank, are key players in this system. They control monetary policy, set interest rates, and manage the supply of money, all of which have a profound impact on both domestic and international economies. These institutions operate with a high degree of independence from direct political oversight. This allows them to make decisions that can create economic booms or slowdowns based on their analysis of market conditions and the broader economic landscape.
Commercial banks, which include giants like JPMorgan Chase, HSBC, and Deutsche Bank, are integral to this structure. They hold deposits, provide loans, and facilitate everyday financial transactions, but their influence extends far beyond day-to-day banking. These banks create money through lending – a process known as credit creation. When a bank issues a loan, it essentially generates new money, expanding the money supply and driving economic growth. However, this also means that banks have significant control over the availability of credit. It can influence everything from consumer spending to the health of businesses and industries.
Central banks are private
The close ties between central banks and commercial banks form a network of power that shapes global finance. During economic crises, for example, central banks often step in to provide liquidity to commercial banks to prevent systemic failures. This has led to the phenomenon of “too big to fail”. The largest banks are considered so crucial to the stability of the financial system that they receive government support to avoid collapse. This support can come in the form of bailouts or other financial assistance. This ensures that the most important institutions remain operational, even in times of distress.
Investment banks also wield significant influence over global markets. These institutions specialize in underwriting large corporate deals, managing mergers and acquisitions, and facilitating complex financial transactions. By doing so, they play a critical role in the flow of capital between businesses and investors. Their ability to structure financial products and manage risk means they have a direct hand in shaping market conditions. Moreover, investment banks are deeply involved in speculation, often betting on the outcomes of global events and market trends to generate profits. This speculation can sometimes have real-world consequences, influencing commodity prices, currencies, and even national economies.
The crushing debts
Beyond the direct banking system, institutions like the International Monetary Fund (IMF) and the World Bank are crucial players in global finance. They provide loans and financial assistance to countries, particularly developing nations, but with conditions attached. These conditions, often involving austerity measures or structural economic reforms, can significantly alter the economic landscape of the countries receiving aid. While the stated aim is to promote stability and growth, critics argue that these measures sometimes prioritize the repayment of debt to international creditors over the well-being of the population. This creates a dynamic where nations become deeply reliant on the international financial system, particularly on the policies set by wealthier countries and their financial institutions.
Governments and banks are also closely linked through the revolving door of personnel moving between the financial sector and key political roles. Many high-level government officials, particularly those involved in shaping economic and fiscal policy, come from careers in large financial institutions. This creates an environment where the interests of banks and the state often align. Particularly when it comes to regulation and economic policy. The financial industry’s ability to influence policy through lobbying, campaign contributions, and direct relationships with politicians adds another layer of interconnectedness between finance and government.
In addition, global media plays a role in maintaining the status quo of the financial system. Large media corporations often have financial ties to banks and other financial institutions, which can shape the narratives presented to the public. Reporting on financial crises, corporate wrongdoing, or the causes of economic inequality may be influenced by these relationships, ensuring that the public is less informed about the true extent of the power wielded by financial institutions.
The decision of a small number of institutions
During times of economic turmoil, like the financial crisis of 2008, the role of these interconnected institutions becomes even more apparent. In the wake of the crisis, central banks around the world initiated massive monetary interventions, including lowering interest rates and engaging in quantitative easing, which flooded the markets with cheap money. While this helped stabilize the financial system, the primary beneficiaries were often large banks and asset holders, further concentrating wealth and power in the hands of the financial elite.
The interconnected nature of these institutions means that crises don’t happen in isolation. When a major bank or market falters, the effects ripple through the entire global economy. The collapse of Lehman Brothers in 2008, for example, triggered a global financial meltdown. It demonstrated how deeply intertwined the global banking system truly is. The decisions made by a small number of financial institutions have profound consequences, not just for markets but for everyday life, from employment rates to housing markets and public services.
No, they don’t work alone
Global banks such as Goldman Sachs, JPMorgan Chase, and Deutsche Bank are interconnected through ownership stakes, shared board members, and secret agreements. They control global finance, ensuring that a small elite group benefits while the rest of the world remains economically dependent.
Far from being a conspiracy, this is simply how the modern banking system functions. The concentration of wealth and power in the hands of a few large institutions is a product of global capitalism and the increasing complexity of financial markets. The largest banks, central banks, and financial institutions are central to the way the world economy operates, shaping policies, influencing governments, and determining the flow of global capital. While their actions are often driven by the need to maintain financial stability, they also reflect the inherent power that comes with controlling the levers of the global economy.
They built their success because of people, what about AI?
Everything I wrote above is connected with one significant point – the bankers’ peasants are very people.
What about robots and AI dominating the world? If they want to control the world, they must change the nature of it.
Banks must change or they are out of the game
If banks are to maintain their dominance in the age of AI, they must go beyond adopting AI technologies and take ownership of the companies driving this technological revolution. By acquiring AI firms like OpenAI or other key players in the AI space, banks can control the development, application, and monetization of AI technologies across industries. This strategic move would allow them to dominate the future of finance. Thus, enhancing their technological capabilities, and securing a strong foothold in other sectors powered by AI. Failure to act in this direction would likely lead to banks being outpaced by tech giants and AI-powered startups, eroding their traditional influence over global markets.
AI threatening Big Banks: AI is getting bigger and bigger
The financial sector is on the cusp of a major transformation, driven by the rapid adoption of artificial intelligence. As AI continues to evolve, its potential to disrupt traditional banking models and reconfigure entire industries is undeniable. In this context, banks can no longer afford to simply be consumers of AI technologies. They must take a proactive stance by acquiring and integrating AI companies to stay relevant and influential in the future economy. The acquisition of AI firms like OpenAI or other cutting-edge players is not just a smart move. It is a critical, strategic necessity for maintaining long-term dominance in a rapidly shifting technological landscape.
Owning AI companies would place banks in the driver’s seat of technological innovation. It would give them the ability to shape the future of finance on their own terms. With direct control over AI development, banks would be able to create proprietary systems. And their are optimized for the complexities of the financial industry, from algorithmic trading and risk management to customer service automation and fraud detection. This ownership would allow them to move faster than their competitors, many of whom will be relying on generic, off-the-shelf AI solutions that lack the customization and efficiency banks need to thrive in an increasingly competitive environment.
The AI arms race
Moreover, the acquisition of AI firms gives banks exclusive access to some of the brightest minds in the field, ensuring that they stay at the cutting edge of technological advancement. The AI arms race is about more than just hardware and software – it’s about talent. The top AI engineers and data scientists are essential to building innovative products, and acquiring AI firms brings this talent pool directly into the bank’s ecosystem. This access allows banks to lead in developing AI-driven financial products that are finely tuned to their unique market needs, creating a significant competitive advantage that could not be replicated by simply buying AI tools from third parties.
Another major benefit of AI acquisition is the opportunity for diversification and expansion beyond traditional banking services. AI is transforming industries like healthcare, logistics, retail, and even energy, and banks that own AI companies can tap into these markets by developing and licensing AI tools to other sectors.
By becoming key players in industries outside of finance, banks can build new revenue streams that are resilient to economic downturns in any single sector. This not only strengthens their balance sheets. But also broadens their sphere of influence across multiple domains, positioning them as global powerhouses of technology and finance.
Banks reshaping AI
In addition to diversification, owning AI companies (thus AI no longer threatening Big Banks) allows banks to wield strategic control over the direction of AI evolution. Rather than reacting to technological disruption, banks can actively shape the AI landscape to align with their long-term business goals. Whether it’s focusing on the development of AI models that enhance market prediction, fraud detection, or personalized customer experiences, banks that own AI companies can ensure that the technology develops in ways that benefit their interests. This proactive approach will keep them ahead of both financial competitors and tech giants encroaching on the financial space.
Perhaps one of the most powerful outcomes of acquiring AI companies is the ability to control both the data infrastructure and the AI systems that analyze and interpret this data. Banks hold immense volumes of financial data, but without advanced AI capabilities, much of this data remains underutilized. By merging their proprietary data with cutting-edge AI tools, banks can create unprecedented insights into consumer behavior, market trends, and financial risk. This would allow them to not only optimize their internal operations but also to sell these insights as high-value data services to other industries, creating another significant revenue source. Controlling both the data and the AI gives banks a monopoly on financial intelligence, deepening their influence over the global economy.
The critical defensive advantage
Owning AI companies also offers a critical defensive advantage. Tech giants like Google, Amazon, and Facebook have already begun to make inroads into financial services, leveraging their AI expertise to offer payment systems, loans, and even investment platforms. If banks do not act swiftly to acquire AI companies, they risk being outcompeted by these tech firms, which could eventually dominate key financial services. By owning AI technology themselves, banks can neutralize the threat posed by tech giants and fintech startups, ensuring that they remain the central players in global finance. This defensive strategy is essential to safeguarding their market share and preventing disruption from external forces.
Beyond the competitive and technological advantages, the ownership of AI companies also allows banks to play a leading role in shaping the ethical and regulatory frameworks that will govern AI in the future. As AI systems become more integral to financial markets, governments around the world will increasingly focus on regulating their use. By being at the forefront of AI development, banks can ensure that they are part of the regulatory conversation from the outset, influencing the rules in ways that protect their interests. Banks that own AI companies will have the ability to ensure that their AI systems comply with regulations while maintaining the flexibility to innovate without being held back by overly restrictive policies.
The ongoing imperative
In summary, the acquisition of AI companies is not just an option for banks – it is a strategic imperative (AI threatening Big Banks). Owning AI firms will give banks control over the core technology that is transforming industries, exclusive access to top AI talent, and the ability to steer the future of AI development in ways that align with their business goals. It will also enable them to expand beyond finance, create new revenue streams, and fend off competition from tech giants and fintech disruptors. As AI continues to reshape the global economy. The banks that control AI will control the future of finance, securing their influence and dominance for decades to come.
Failing to invest in AI acquisition would leave traditional banks vulnerable to external disruption, reduced market share, and diminished influence in the rapidly changing financial landscape. The future of banking will belong to those institutions that are bold enough to take ownership of the technology shaping tomorrow’s economy, and acquiring AI firms is the key to securing that future.
1. Mastering data and behavioral insights
AI allows banks to analyze vast amounts of financial and behavioral data in ways that were previously unimaginable. Financial institutions already collect data on every transaction, investment, and loan, but AI’s ability to process and analyze this data in real-time provides deep insights into consumer behavior, economic trends, and risk factors. This is not just about personal financial data. Banks are increasingly able to use AI to track spending patterns, predict market movements, and even anticipate shifts in public sentiment based on consumer behavior.
By controlling these vast data flows, banks can shape both individual financial decisions and broader market trends. For instance, AI systems can predict when a consumer is likely to need a loan or when a business is at risk of financial distress, allowing banks to step in with tailored financial products at exactly the right moment. This ability to anticipate needs and risks gives banks a tremendous advantage in shaping economic activity and guiding consumer behavior. As AI-driven financial systems become more prevalent, banks will control the underlying algorithms that govern everything from credit approval to investment decisions, giving them unparalleled influence over the economy.
2. AI-driven credit and financial access control
AI is revolutionizing how banks assess risk and determine creditworthiness. Instead of relying on traditional credit scores, banks are using AI to analyze a broader range of data points. This includes social media activity, spending habits, and even location data. This allows for more precise predictions of an individual’s or a business’s ability to repay loans, but it also means that banks can exert greater control over who has access to credit and under what conditions.
AI-driven credit assessments enable banks to create highly customized loan products, but they also introduce the potential for a more rigid financial hierarchy. Banks can determine which segments of the population are granted access to financial resources and who is effectively “locked out” of the system. With AI algorithms controlling the approval process, access to credit could be tied to behaviors that banks deem desirable, subtly guiding individuals and businesses to act in ways that align with the bank’s financial interests. As AI continues to refine this process, banks will not only control who can participate in the financial system but also how they behave within it.
3. Monetary policy and central bank AI systems
Central banks, which already wield significant influence over national economies through monetary policy, are increasingly adopting AI to optimize their decisions. AI can provide real-time insights into inflation rates, unemployment, and consumer spending, allowing central banks to adjust interest rates and money supply with greater precision. This level of control over monetary policy allows banks, particularly central banks, to shape the economy more directly than ever before.
AI-driven monetary policy could lead to a world where central banks, powered by AI algorithms, can create economic conditions that benefit certain industries or sectors while suppressing others. For example, if AI models suggest that certain industries (like technology or green energy) are more likely to drive long-term economic growth, central banks might adjust policies to favor those sectors, leading to more concentrated economic growth. In this way, central banks, with their vast influence over national economies, can guide long-term economic development in ways that align with broader financial goals – effectively controlling the pace and direction of global economic growth.
4. Automation of financial markets
High-frequency trading (HFT) has already transformed global financial markets, and AI is accelerating this trend. Large banks and financial institutions now use AI-driven algorithms to make trades in milliseconds, exploiting tiny fluctuations in the market to generate significant profits. AI systems can process vast amounts of financial data – stock prices, market sentiment, geopolitical events – in real-time, allowing banks to make rapid, informed trading decisions that human traders simply cannot match.
As more of the global financial system becomes automated through AI, banks will have increasing control over market movements. They will be able to manipulate markets by executing large volumes of trades at critical moments, amplifying volatility when it benefits their financial strategies or stabilizing markets when necessary. Over time, AI-driven trading will become the dominant force in global financial markets, and banks that control these algorithms will have a significant advantage over other market participants.
Furthermore, by controlling the infrastructure behind these markets, such as AI-powered trading platforms and exchanges, banks can dictate who gets access to these systems and under what terms. This gives them the ability to set the rules for participation in global financial markets, further consolidating their power.
5. Digital currencies and the end of cash
The global trend toward digital currencies—whether cryptocurrencies or central bank digital currencies (CBDCs) – is another area where banks are poised to exert significant control. Banks are already at the forefront of developing digital payment systems and blockchain-based currencies, and as these systems become more widely adopted, they will gain increasing control over the global flow of money.
AI is integral to managing digital currencies, particularly in areas like transaction verification, fraud detection, and currency stability. Banks that control digital currency platforms will have the ability to monitor every transaction that takes place, analyzing and even regulating how money is used in real-time. Digital currencies allow banks to implement programmable money, where spending limits, taxes, or conditions on how money can be used are coded directly into the currency. This could fundamentally change the relationship between individuals, businesses, and their money, giving banks the ability to influence economic behavior at an unprecedented level.
The widespread adoption of digital currencies could also give banks more direct control over monetary policy. For example, instead of relying on traditional interest rate adjustments to influence borrowing and spending, banks could use AI to dynamically adjust the value of digital currencies or apply targeted monetary policies to specific groups, sectors, or regions. This would allow banks to fine-tune the economy in ways that are not possible with conventional money.
6. Financial inclusion and AI-driven exclusion
AI has the potential to increase financial inclusion by making banking services more accessible to underserved populations. It also presents the risk of deepening exclusion for certain groups. Banks using AI for financial services can set the terms of inclusion and exclusion, determining who has access to essential services like loans, savings accounts, and insurance.
AI algorithms used to determine creditworthiness or risk can reflect biases inherent in the data they are trained on. If these biases go unchecked, certain demographics or socioeconomic groups could find themselves systematically excluded from financial systems. This exclusion could be tied to behavioral data, spending patterns, or even geographic location, effectively creating financial “no-go zones” where access to credit or financial services is limited or denied.
Banks, by controlling these AI systems, would have the power to decide who participates in the global economy and who does not. They could use this influence to shape entire regions or industries, favoring some while marginalizing others. The risk is that financial inclusion becomes a privilege for those who conform to the behavioral norms and economic practices dictated by AI algorithms, further entrenching social and economic divides.
7. AI-driven governance and telling politicians what to do
AI’s ability to analyze vast datasets means that banks, through their AI systems, will have unique insights into political, economic, and social trends. These insights can be leveraged to influence public policy, either directly or indirectly. Banks already play a role in shaping policy through economic influence. But AI allows them to do so in a far more strategic and effective way.
By providing governments with economic forecasts, risk assessments, and market predictions, banks can guide policy decisions in ways that serve their financial interests. AI systems can model the effects of different policy choices on economic growth, inflation, and public sentiment, offering banks the opportunity to present their preferred policy outcomes as the most viable or least risky. Over time, this level of influence could allow banks to dictate the direction of economic policy at both national and international levels.
Additionally, banks could use AI-driven lobbying platforms to automate and scale their influence over lawmakers and regulators. By deploying targeted lobbying efforts, informed by AI-driven data analysis, banks could ensure that regulatory environments evolve in ways that favor their interests, further consolidating their power.
8. Global control through AI-driven investment strategies
Banks, particularly large investment banks, are already using AI to optimize their investment strategies and asset management. AI systems analyze global economic data, geopolitical events, and even natural disasters to make investment decisions in real-time. As AI systems become more sophisticated, banks will be able to dominate the global investment landscape by making faster, more accurate decisions than their competitors.
This ability to control large-scale investments gives banks significant influence over global economic development. They can direct capital to industries, countries, or sectors that align with their long-term strategic interests, effectively controlling the flow of global economic growth. By using AI to identify and capitalize on emerging trends, banks can dominate sectors like technology, energy, and healthcare. This ensures that their financial interests shape the future of the global economy.
AI-driven investment strategies also allow banks to gain early access to technological innovations, startups, and emerging markets. By controlling where capital is deployed, banks can effectively dictate which industries and innovations thrive and which are left to wither, exerting a form of economic control over the direction of global progress.
9. Automation and the future of work
The automation of labor through AI and robotics is already reshaping industries, and banks are in a prime position to control the economic implications of this transition. As industries automate, banks can use AI to manage the economic impact of job displacement, offering financial products such as reskilling loans, gig economy insurance, or basic income financial management.
Banks that control AI-driven automation platforms could also gain control over labor markets, deciding which sectors are automated and which retain human workers. By directing investment into AI and automation technologies, banks can influence global labor markets, shaping the future of work in ways that align with their financial goals. In this scenario, banks become the gatekeepers of employment opportunities, determining which industries grow and which jobs are phased out.
10. Debt as a tool of global control
Banks have long used debt as a means of influencing nations and individuals, but with AI, this tactic could be supercharged. AI systems could track and predict the debt cycles of entire countries, advising financial institutions on when to increase or decrease lending to ensure that nations remain dependent on external loans. Developing nations, already susceptible to debt traps, could find themselves even more deeply entrenched in cycles of debt controlled by AI-driven models, making their economies perpetually reliant on foreign financial aid controlled by global banks.
For individuals, AI could be used to create financial products that ensure people stay indebted longer, extracting maximum profit from each borrower while minimizing the risk to the bank. By controlling debt issuance through AI, banks could keep entire populations in a state of financial dependence, limiting their social mobility and concentrating wealth and power in the hands of a global financial elite.
11. Monopolizing technological innovation
By acquiring AI firms and investing heavily in the most advanced AI research, banks would control the pace and direction of technological innovation. Instead of open development, banks could hoard AI technologies, releasing them only when they see fit to profit or exert control. In this scenario, AI would not be a tool of progress for humanity but a controlled asset used to increase the power of financial institutions.
Breakthroughs in AI, robotics, and other emerging technologies would be strategically timed to coincide with banking interests. If banks controlled the evolution of AI, they could ensure that technology development aligns with their profit motives and political goals. Patents, intellectual property, and innovations in AI would be tightly controlled. And any attempts to democratize technology would be swiftly undermined by the banks’ financial power and influence over global regulators.
12. Owning the core technology
By acquiring AI companies, banks can directly control the development and deployment of AI technologies across their operations, rather than relying on third-party providers. AI is quickly becoming the backbone of many financial processes -everything from algorithmic trading to customer service and fraud detection is being driven by AI. Owning AI companies allows banks to integrate cutting-edge technologies tailored to their specific needs. This gives them an edge over competitors who merely purchase AI solutions as clients.
Acquiring firms like OpenAI would enable banks to have exclusive access to advanced AI models, enabling them to build proprietary systems that can’t easily be replicated by their rivals. This would allow them to retain a competitive advantage in areas such as risk management, market predictions, and financial modeling. Owning the tech means they can constantly innovate and push the boundaries of what AI can do in the finance sector without being constrained by external vendors.
13. AI-enhanced predictive analytics for geopolitical events
Banks are increasingly using AI to predict geopolitical events that can affect global markets, such as elections, trade wars, or regional conflicts. By controlling AI-driven predictive models, banks can position themselves to profit from or mitigate the risks associated with geopolitical instability. More importantly, this predictive capability allows them to influence the outcome of such events by strategically reallocating resources in ways that benefit their financial interests.
For instance, AI can predict election outcomes based on social media trends, economic conditions, and polling data. Banks could then adjust their investments and lending strategies accordingly, ensuring they are aligned with the anticipated political landscape. In some cases, this influence could be direct, as banks can use their AI-driven insights to support favorable candidates or policies through targeted investments, campaign financing, or media control.
14. AI in International Relations and Trade Agreements
AI has the potential to influence not only domestic policies but also international relations. Banks that control AI systems used in international trade negotiations, currency exchanges, and geopolitical forecasting can exert significant influence over global diplomacy and trade agreements. AI models that predict the outcomes of trade deals and international negotiations allow banks to advise governments on strategies that align with the bank’s economic interests.
By controlling AI-driven trade platforms, banks could ensure that trade agreements favor industries and sectors that benefit from financial backing, while discouraging agreements that could weaken their global position. In this way, banks could use AI to shape international trade relations in ways that enhance their control over the global flow of capital and goods.
AI threatening Big Banks: The New AI World Order without banks? No way
Since the banks (and mainly banks) and multinational corporations are the way our puppet politicians are being led by their masters (the super-rich families), the transition would be enormously risky – meaning creating a world order without banks suddenly.
Mainly this may come to some kind of this point, but the transformation wouldn’t likely be sudden.
Conclusion:
The future of global finance is deeply intertwined with the development of artificial intelligence. Banks that harness the power of AI will be able to exert unprecedented control over economies, markets, and individual behavior. By leveraging AI for data analysis, monetary policy, digital currencies, and financial inclusion, banks can shape the future of global economic systems in ways that align with their long-term strategic goals. This is not a speculative conspiracy theory but a tangible evolution of the role banks already play in the global economy, amplified by the transformative capabilities of AI.
As AI continues to reshape industries and societies, banks will be at the forefront, using their financial resources and technological capabilities to maintain and expand their influence. The control of AI by banks will not only transform the financial landscape but also have far-reaching consequences for governance, economic development, and the distribution of power in the 21st century. Banks that master AI will have the ability to direct global economic trends, influence public policy, and even shape the future of human behavior on a scale never seen before.
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