IBM: AI-driven Layoffs
IBM's announcement of cutting thousands of jobs, while US tech giants achieve record profits with AI investments and consulting firms like Boston Consulting Group predict billions in profit for banks through AI agents, raises questions. This tension between layoffs, profit fantasies, and stock rallies requires a close look: Which jobs are already being replaced, which are being newly created – and what does this mean in concrete terms?
Source: Own representation
AI and the Job Market
When talking about IBM-Entlassungen wegen künstlicher Intelligenz , it's not about the direct replacement of a human by a robot, but about a strategic realignment: away from personnel-intensive areas, towards scalable software products, cloud platforms, and AI services. This is confirmed by reports that emphasize a Fokussierung auf Software und Cloud-Wachstum . Artificial intelligence here includes systems that analyze data, make predictions, or support decisions, such as Sprachmodelle, Betrugserkennung oder automatisierte Support-Assistenten.
Such systems are increasingly manifesting themselves in so-called AI agents: software modules that eigenständig Aufgaben übernehmen, process customer inquiries, review credit applications, or handle IT tickets, often with access to internal databases and workflows. The Boston Consulting Group beschreibt KI-Agenten as the next stage, which not only automates individual tasks but orchestrates complete process chains and collaborates with humans.
In the banking sector, KI-Anwendungen bereits vielfältig: are chatbots in customer service, algorithms for risk assessment, automated fraud monitoring, and tools that provide advisors with personalized cross-selling suggestions. At the same time, Arbeitsmarktstudien, warn that AI affects not only routine activities but increasingly also non-routine, cognitive tasks in well-paid professions, such as financial analysis or law.
IBM has confirmed plans to cut a small single-digit percentage of its approximately 270,000 employees worldwide in the second half of 2025, which tausende Stellen bedeutet. Management justifies the move with a stronger focus on the high-margin software business, particularly the Red Hat division, as well as KI-gestützte Cloud-Services. Multiple reports emphasize that roles in administration and support are disproportionately affected, while hiring continues in areas like sales, software development, and AI engineering, as India Today reports.
IBM thus joins a broader wave of tech restructurings where, under the buzzword "AI-first," entire teams are redefined, locations are consolidated, or management levels are streamlined, as People Matters Global notes. In parallel, platforms like YouTube report reorganizations where AI is cited as the reason for new organizational models and voluntary exit programs, even if no mass layoffs have been officially announced there, according to Business Insider.
Source: inside-it.ch
It is documented that IBM plans to cut thousands of jobs worldwide this quarter, which corresponds to a low single-digit percentage of around 270,000 employees, and that the company justifies this step with a stronger focus on software, cloud, and AI, as the Wall Street Journal reports. Multiple reports confirm that support and back-office roles are particularly affected, while recruitment continues in strategic areas related to AI and software, as India Today highlights. The fact that AI is already causing tangible job changes is shown by the example of Salesforce, where, according to their own statements, 4.000 Supportstellen durch KI-Agenten ersetzt oder verlagert were employed, which now handle about half of all customer interactions.
It remains unclear how many of the positions cut at IBM are directly replaced by concrete AI systems and how many are primarily eliminated due to classic efficiency programs or location consolidation, as Yahoo Finance notes. The bank figures are also scenarios, not guarantees: the 300 billion euros in profit potential assume that institutions broadly roll out AI, overcome organizational hurdles, and meet regulatory requirements, as the BCG-Studie erläutert.
It would be incorrect or at least misleading to conclude that AI will destroy "all office jobs" in the short term or make human work superfluous overall. The IMF estimates that globally about 40 Prozent der Jobs von KI betroffen will be affected, and in developed economies even about 60 percent, but at the same time emphasizes that there will be both winners and losers. The World Economic Forum "Future of Jobs Report 2023" shows that over the next five years, likely just as many new jobs will be created as old ones will disappear, primarily due to new technologies and the green transformation. Studies by OECD and PwC document that AI often automates individual tasks within a profession, not the entire profession, and that many activities thus become more demanding and better paid, rather than disappearing.
Source: YouTube
For you as an employee, the development initially means that you cannot ignore AI, regardless of the industry you work in. Studies show that professions with high AI exposure – such as financial analysts, customer service staff, software developers, or administrative managers – experience strong changes in required skills, but at the same time often record particularly high productivity gains, as PwC darlegt. The World Economic Forum Bericht emphasizes that most companies plan to invest heavily in further education and retraining, rather than simply reducing staff.
Specifically, the endangered roles are found where tasks can be clearly structured and set in rules, such as simple call center activities, data maintenance, standard back-office, or classic first-level support jobs, as Forbes analysiert. At the same time, new tasks are emerging around data quality, AI governance, customer experience, consulting, and the development of new digital products that require human creativity, empathy, and responsibility, as the OECD aufzeigt. However, the transition is not automatically fair: without active retraining, social safety nets, and clear rules, it can be tough for certain groups, as the IWF warnt.
For bank customers, the AI push means that you will more often interact first with a chatbot or voice assistant that answers standard questions, executes transfers, or pre-approves simple credit decisions, as the OpenText-Report beschreibt. In the best case, processes become faster, offers are more precise, and fraud attempts are better detected; in the worst case, there is a risk of lack of transparency, automated wrong decisions, and the feeling of only talking to machines, as BCG anmerkt.
It is not yet clear how the IBM-Entlassungen wegen künstlicher Intelligenz will affect the employment structure in the corporation in the long term, i.e., how many of the jobs that are being eliminated will be replaced by new roles in AI development, data analysis, or consulting. Comparable cases like Salesforce show that companies partially shift personnel to growth areas, but at the same time still cut net jobs, as the San Francisco Chronicle berichtet. Here, independent long-term studies are needed that examine the actual net effects of AI programs on employment and wages, as the OECD fordert.
Also in the banking sector, many figures are scenarios with uncertainties. Whether the projected 300 Milliarden Euro zusätzlicher Gewinn will actually be achieved depends on regulation, cyber risks, competition from fintechs, and customer acceptance, as BCG erläutert. explains. Further research questions concern distribution: Will AI profits primarily be paid out to shareholders, passed on to customers in prices and conditions, or reinvested in employee training, asks BCG.
At the macro level, the uncertainty remains how strongly AI will globally influence labor demand and wages. Estimates range from moderate productivity gains with limited shifts to scenarios where hundreds of millions of employees worldwide have to change their occupation, as McKinsey aufzeigt. International organizations like OECD and IWF fordern daher bessere Datengrundlagen, standardisierte Indikatoren für KI-Exponiertheit und koordinierte Politikansätze, um Ungleichheiten zu begrenzen.
Corporate Strategies
Behind the IBM-Entlassungen wegen künstlicher Intelligenz is a classic portfolio logic: personnel is reduced where revenues stagnate or margins fall, and capital is shifted to where scalable, recurring revenues beckon. Software, cloud subscriptions, and AI services can be sold worldwide without every additional customer requiring a new full-time position, while support and administration areas traditionally grow with the size of the company. AI accelerates this development because it Routineaufgaben in Backoffice, HR oder Kundendienst automatisierbar macht.
Source: klamm.de
The incentive is similar for banks, only more closely linked to regulatory requirements and margin pressure. Interest margins have been shrinking in many markets for years, while costs for regulation and IT are rising, which makes AI attractive as a lever for efficiency gains and new revenues, as the OpenText-Report festhält. BCG argues that institutions that only use AI agents selectively will primarily achieve small productivity gains, while " AI-first"-Banken ganze Wertschöpfungsketten automatisieren and can thus achieve significantly higher profits. In plain terms: those who consistently digitalize can serve more customers with less personnel – or tap into new sources of income with the same workforce.
In the corporate world, optimistic voices currently dominate, seeing AI as an opportunity to become more efficient and innovative. BCG and other consultancies openly urge banks to embrace the " AI-first"-Transformation zu beschleunigen, to avoid losing market share, and refer to early examples of banks that have increased their profitability with AI-supported sales and service processes. Market analysts emphasize that the massive AI investments of the tech giants are already reflected in rising revenues in the cloud and software business, even if there are occasional doubts about the sustainability of these expenditures, as Investopedia berichtet.
The IBM layoffs due to artificial intelligence are not an isolated event but part of a larger shift: companies are cutting personnel in areas that can be scaled more easily with AI and software, and are investing heavily in digital platforms, data centers, and data-driven business models, as Yahoo Finance zusammenfasst.
Economic Effects
In the banking sector, Boston Consulting Group has presented a report according to which retail banks worldwide could, through large-scale use of AI, particularly AI agents, by 2030, mehr als 300 Milliarden Euro zusätzlichen Jahresgewinn improve. The study describes six characteristics of "AI-first" banks, such as end-to-end data platforms and AI across the entire value chain from marketing to risk management, as BCG ausführt. explains. An accompanying specialized article highlights that AI agents already generate about 17 Prozent des wirtschaftlichen KI-Werts and could reach almost 30 percent by 2028.
On the stock exchanges, the latest quarterly figures of the large US tech companies show how strongly investors are betting on this AI leverage. Nvidia recently increased its revenue by about 78 Prozent auf 39,3 Milliarden US-Dollar gesteigert, driven by the sale of specialized AI chips. Microsoft has a market capitalization of about 4 Billionen US-Dollar erreicht, driven by double-digit revenue and profit increases in the cloud and AI business, as well as planned AI investments of 80 billion US dollars in 2025 alone. Analyses show that Google, Meta, and Microsoft are aggressively expanding their investments in AI infrastructure, with a combined total of over 300 Milliarden US-Dollar Kapitalausgaben for data centers and chips in 2025.
Despite occasional share price setbacks, market reports emphasize that the profits and cash flows of the major tech corporations are largely driven by the AI boom, and that investors are highly exposed because a large part of the global stock index weight lies with a few AI heavyweights, as The Guardian analysiert. Financial portals like Sharecafe explicitly point out that Apple, Nvidia, and other stocks are increasing their profitability with AI-driven services and chips, which further enhances the attractiveness of these titles for many investors.
A strong narrative has simultaneously established itself in the capital markets: AI as a new growth engine that dramatically increases productivity in many industries, as McKinsey feststellt. McKinsey schätzt das jährliche zusätzliche Wertschöpfungspotenzial generativer KI auf 2,6 bis 4,4 Billionen US-Dollar, vor allem durch Automatisierung wissensintensiver Tätigkeiten. Das verleiht börsennotierten KI-Gewinnern enormen Rückenwind, aber erhöht auch den Druck auf andere Unternehmen, ähnliche Programme aufzusetzen – inklusive Restrukturierungen und Jobabbau.
The BCG estimate that retail banks worldwide could über 300 Milliarden Euro zusätzliche Jahresgewinne erzielen könnten.
when consistently using AI is also documented. It is important for investors to understand that the current AI boom brings not only opportunities but also concentration risks. If a large part of the stock market value is concentrated on a few AI winners, disappointments in profits or regulation can sensitively affect the markets, as The Guardian warnt. Analysts warn that a slowdown in AI investments could significantly dampen the profit forecasts for the broader market, because many infrastructure and supplier companies are heavily dependent on these expenditures, as Barron's berichtet.
For banks, this means that AI agents are not just a buzzword but can potentially unleash billions in additional profit – if technology, organization, and regulation align, as the BCG-Studie zeigt.
Social Debate
Medially, two strong images meet here: On one side, CEOs talking about "AI-first" strategies, record profits, and billions for data centers, as Business Insider berichtet. reports. On the other side, headlines about thousands of jobs cut and warning voices predicting a " weißes Kragen-Blutbad" massive losses in well-qualified office jobs. This tension explains why news about layoffs coinciding with record profits receives so much attention.
Source: user-added
On the other hand, researchers and some tech pioneers warn of social disruption. The " Godfather of AI" Geoffrey Hinton for example, has repeatedly pointed out that millions of jobs could come under pressure due to AI and that without political control, primarily the wealthy would benefit. Former tech managers like Mo Gawdat speak of up to 15 Jahren "Turbulenzen", because especially well-paid knowledge professions would be redistributed or automated as AI systems take over more and more cognitive tasks.
Labor market organizations and institutions like the OECD try to ground the debate. They emphasize that depending on the design, AI can both improve and worsen job quality: Automation can reduce monotonous tasks and create time for more demanding activities, but also carries risks such as increased work intensity, surveillance, and polarization if qualification opportunities are lacking, as the OECD ausführt. Trade unions and employee representatives therefore demand transparent AI strategies, binding further education programs, and co-determination in restructurings, especially when – like at IBM – job cuts coincide with record profits, as OECD Education Today berichtet.
Source: YouTube
When classifying news, a few simple questions help: Who benefits from the perspective presented, such as consultancies with AI offerings or companies that want to justify restructurings? Is a clear distinction made between scenarios and verified data? And is it explained what assumptions lie behind impressive figures like the 300 Milliarden Euro Bankgewinnen stecken? or independent research institutes are good places to go to mirror headlines against sober analyses. OECD, IWF, WEF, McKinsey are good places to go to mirror headlines against sober analyses.
The IBM layoffs due to artificial intelligence are not an isolated event but part of a larger shift: companies are cutting personnel in areas that can be scaled more easily with AI and software, and are investing heavily in digital platforms, data centers, and data-driven business models, as Yahoo Finance berichtet. reports. For banks, this means that AI agents are not just a buzzword but can potentially unleash billions in additional profit – if technology, organization, and regulation align, as the BCG-Studie zeigt. For employees, the key is to understand their own tasks precisely, identify the parts that can be automated, and specifically retrain where human strengths like empathy, judgment, and creativity are required, as the World Economic Forum betont.
Instead of merely reacting to headlines about job cuts or record profits, it is worthwhile to consider both together: AI is both a rationalization lever and an engine of innovation. Whether it ultimately brings more opportunities or risks strongly depends on how companies, politics, and every individual deal with it – today, not just in 2030, as the OECD hervorhebt. If you follow the developments closely, verify sources, and actively develop your own skills, you can make more out of the current wave than just a threatening headline.