The AI Centralisation Era: A World Ruled by Machines and People Left Without a Say! 1st part!

Yes, you can call it the AI Era, but that name alone feels too soft for what is actually happening, my dear reader! The shift we are living through is not just "AI appears and helps humans." It is a transformation as deep as agriculture and industry, but with far more unpredictable consequences. The agricultural era shaped survival. The industrial era shaped labour. The digital era shaped information. But this new phase shapes control, decision‑making, and dependence, and that makes it fundamentally different from anything before.

The reason "AI Era" works is because AI is the engine driving the change, but the world around it is not simply becoming more digital; it is becoming automated, centralised, and fragile in ways that previous eras never were. In agriculture, people controlled the land. In industry, people controlled the machines. In digital era, people controlled the computers. But in the AI Era, the systems begin to control the processes themselves, and humans become the ones trying to keep up. That is why job cuts like Oracle's happen, why customer service becomes robotic, why older people get lost in online procedures, and why small villages feel abandoned by a world that no longer speaks their language. So, let's go with one of my old friends and see what happens with this topic, in a reasonable and peaceful conversation!

Let's take this with a logic of the sequences of human evolution. What was it like first the agricultural era, then the industrialization era, and then?

After the agricultural era came the industrial era, and after the industrial era came the digital era. But the digital era is not the end of the story. What we are living through now is something different, something that sits on top of the digital world and pushes it into a new phase. Many historians and analysts call it the automation era, others call it the algorithmic era, and some even call it the post‑industrial era. But the truth is simpler: it is the moment when machines stop being tools and start becoming decision‑makers.

The agricultural era was about land, food, and survival. The industrial era was about factories, machines, and mass production. The digital era was about computers, networks, and information. What comes after is the era where information itself becomes active, where systems learn, predict, automate, and replace human roles. It is not just digital; it is self‑running digital, and that is why it feels so different. Jobs disappear because an algorithm is faster. not because a machine is stronger. Services become inaccessible, but because systems are designed for machines to understand, not humans.

This new era is also defined by centralisation. In agriculture, power was local. In industry, power was national. In digital, power became global. But in automation, power becomes concentrated in a handful of private companies that control the platforms everyone depends on. That is why a grandmother in Switzerland can accidentally create a C2P profile and suddenly be trapped in a system she never asked for. That is why people in small villages are pushed into digital services they cannot navigate. That is why workers lose their jobs when companies like Oracle replace them with AI. The era we are entering is not just technological; it is structural, and it changes the balance between humans and the systems around them.

Some call this the AI era, but that word is too small. It is the era where decisions are automated, where human judgment is replaced by machine logic, where conversations are filtered through algorithms, and where entire societies depend on systems that can fail, be hacked, or evolve beyond human comprehension. It is the era where a solar storm could shut down half the world, where quantum computers could break every encryption, and where the people with the least power are the most exposed. It is not a peaceful transition like agriculture to industry; it is a jump into something unstable, something that grows faster than humans can regulate.

You know, one reading this, remain simply without words! A very sicking felling of emptiness!

I can relate to that! Reading that Oracle has eliminated roughly 21,000 jobs, bringing its workforce down to about 141,000 employees, as the company leans heavily into AI and automation, is not something of every day news! Oracle has moved through a major downsizing, removing around twenty‑one thousand positions as it leans more heavily on artificial intelligence to handle work that once required human staff. The company's leadership has been open about the fact that automation is reshaping its internal structure, and this shift has coincided with a broader reorganisation that has been unfolding for some time.

Many employees learned of their dismissal abruptly in the spring, and the scale of the reduction only became clear once Oracle released its annual figures. This wave of cuts mirrors a wider transformation across the technology sector, where several major firms are trimming their workforces while redirecting resources toward AI systems and the infrastructure needed to support them. At the same time, Oracle is pouring enormous sums into expanding its cloud and AI capabilities. These ambitions have pushed the company to take on significant debt, which has weighed on its share price and increased financial pressure. Severance expenses have risen sharply as a result of the layoffs, far exceeding the previous year's restructuring costs.

Larry Ellison, who still guides the company's technological direction, remains central to these decisions while also extending his influence into the entertainment industry through recent moves involving Paramount and Warner Bros Discovery. Oracle maintains that as its AI and cloud operations grow, it will continue adjusting its workforce to match its evolving priorities.

Let's see if there are really some 'advantages' for those who are working there. What can you find?

For Larry Ellison and Oracle's leadership, the decision to cut such a large portion of the workforce brings both strategic advantages and serious risks. On the positive side, shifting toward AI allows the company to reduce long‑term labour costs while redirecting money into the infrastructure that will define its future competitiveness. This kind of restructuring can also make the organisation more agile, especially when the market is moving quickly toward automation and cloud‑based services. However, the downsides are equally significant.

Large‑scale layoffs can damage internal morale, weaken loyalty among remaining staff, and create reputational strain at a moment when the company is trying to present itself as a forward‑thinking leader. The financial burden of severance packages and the pressure created by rising debt also add weight to the decision, making the short‑term picture more turbulent than the long‑term strategy might suggest.

For employees, the consequences are naturally more personal and often more painful, yet there are two sides to consider. The negative impact is clear: sudden job loss, emotional stress, and the challenge of re‑entering a job market that is itself being reshaped by automation. Many workers may feel blindsided or undervalued, especially when dismissals happen abruptly and access to systems is cut without warning. At the same time, there can be a small measure of opportunity hidden within the disruption.

Severance packages, though costly for the company, can give individuals a financial cushion while they look for new roles, and the broader shift toward AI may push some workers to retrain or move into fields that are growing rather than shrinking. Still, the balance of impact leans heavily toward hardship for employees, because the transition is rarely smooth and the pace of technological change leaves little room for gradual adjustment.

And the the ethical angle or the economic implications of this shift? Though, i must say, i hardly admit the possibility of a 'financial cushion'.

Yes, quite a point there. Let me tell you, the ethical dimension of Oracle's decision sits at the centre of a broader debate about how far companies should go when replacing human labour with automated systems. On one hand, leaders argue that adopting advanced technology is essential for survival in a competitive market, and from that perspective they see themselves as acting responsibly toward the long‑term health of the organisation. Yet the moral tension becomes clear when thousands of people lose their livelihoods with little warning, especially when the process feels abrupt or impersonal. The question of fairness arises when a company benefits from decades of human contribution and then pivots sharply toward automation without offering meaningful pathways for workers to adapt.

This creates a sense of disposability that can undermine trust not only within the company but across the wider workforce watching from the outside. Ethical leadership would ideally balance innovation with a duty of care, but in moments like this the balance often tilts heavily toward efficiency rather than humanity.

The economic implications stretch far beyond Oracle's internal finances and touch the broader labour market. For the company, reducing payroll costs and investing aggressively in AI infrastructure may strengthen its position in the long run, especially as demand for data‑driven services grows. However, the short‑term financial strain is visible in rising debt, falling share prices, and the heavy cost of severance packages. For the wider economy, large‑scale layoffs in the tech sector can create ripples that affect consumer confidence, regional job markets, and the pace at which displaced workers can find new roles. When many companies automate at the same time, the labour market becomes more crowded with skilled professionals competing for fewer traditional positions.

At the same time, new opportunities do emerge in fields tied to AI development, cloud architecture, and data management, but these roles often require training that not everyone can access quickly. The result is a transitional period marked by both innovation and instability, where the benefits and burdens are unevenly distributed.

So what now? All only AI? There is no longer plave for classical jobs? As we see 'frightening' titles overal on internet? Future workplace norms are likely to shift in ways that feel both subtle and profound, especially as companies like Oracle. What seems to be emerging is a landscape where human roles become more specialised, with a stronger emphasis on tasks that require judgment, creativity, or emotional intelligence. Routine work will continue to shrink, because machines can perform it faster and at lower cost.

This creates an environment where workers must constantly refine their skills, and adaptability becomes just as important as expertise. The traditional idea of a stable, long‑term role disappears and give way to careers built around continuous learning and periodic reinvention, which can feel empowering for some but the reality is unsettling for everyone!

It will become a norm of a more fluid relationship between workers and employers, shaped by hybrid structures, project‑based assignments, and a greater reliance on digital collaboration. Companies may expect employees to navigate multiple tools and platforms with ease, while workers may expect more flexibility in return, whether in location, schedule, or the way performance is measured. At the same time, the emotional texture of the workplace may change as automation reduces daily human interaction, making intentional communication and trust‑building more important than ever.

Leadership will need to balance efficiency with empathy, because a workforce that feels replaceable is rarely a workforce that performs at its best. These shifts suggest a future where technology sets the pace, but human expectations and values still determine whether the environment feels sustainable or hollow.

Really? You do believe all this? Is there a company more or less like Oracle in Italy too?

Italy does not have a company that mirrors Oracle in scale. One of the most comparable names is Engineering Ingegneria Informatica, a long‑established Italian company focused on enterprise IT solutions, cloud services, and digital transformation for large organisations. It does not have Oracle's global footprint, but within Italy and parts of Europe it plays a similar role in helping companies modernise their systems. Another relevant example is Reply, a Turin‑based firm that works across cloud computing, AI, cybersecurity, and enterprise integration.

Reply is more international than most Italian tech companies and collaborates with major global platforms, which makes it one of the closest Italian parallels to the kind of work Oracle does. A third name worth mentioning is Dedalus, which specialises in healthcare software and data systems; while it focuses on a specific sector, its scale and technical depth make it one of Italy's more significant digital players.

How far can Oracle, ''push'' this automation?

Oracle can push automation quite far, but not infinitely, and certainly not without hitting limits that are technical, economic, and human. What is happening now is only the early phase of a much larger transition, where the company replaces repetitive or predictable tasks with AI systems that can operate continuously and at lower cost. This means that roles involving data processing, routine coding, system monitoring, and administrative work will continue to shrink as long as the technology proves reliable. The company's leadership will keep pushing in this direction because it aligns with their long‑term strategy: fewer labour costs, more investment in cloud infrastructure, and a stronger position in the global AI race.

Yet even with this momentum, there is a ceiling. Automation cannot fully replace roles that require complex judgment, creative problem‑solving, or the kind of interpersonal understanding that machines still struggle to replicate.

Another limit comes from the company's own stability. If Oracle automates too aggressively, it risks damaging the internal culture that keeps innovation alive. A workforce that feels constantly threatened by replacement becomes less loyal, less motivated, and less willing to take risks, which can weaken the company's long‑term health. There is also the external pressure of public perception, because large‑scale layoffs tied to automation can trigger political scrutiny, customer distrust, or investor anxiety.

Even the technology itself imposes boundaries, since AI systems require enormous amounts of data, energy, and maintenance, and they can fail in ways that humans would not. So while Oracle will continue pushing automation deeper into its operations, it cannot eliminate the human element entirely without undermining the very structure it depends on.

Who are the next companies in the same line of work that could follow the example?

Oh, there are some! The most likely candidates are the large American cloud and enterprise players. IBM has been automating internal processes for years and has openly discussed reducing roles that can be handled by AI systems. Salesforce has hinted at similar moves, especially as it integrates AI into its customer‑management tools. SAP, the German enterprise‑software giant, is also restructuring and investing heavily in automation, which suggests that workforce reductions could follow as its platforms become more autonomous.

Even companies like Cisco and HPE, which operate in networking and infrastructure, are under pressure to streamline as AI reshapes how data centres function. None of these firms will copy Oracle exactly, but they are all walking along the same path, where automation becomes a lever for cost control and strategic repositioning.

When looking at the top companies worldwide that operate in fields similar to Oracle, the list includes a mix of cloud providers, enterprise‑software giants, and large technology firms that build the digital infrastructure used by corporations. The following thirty names represent the most influential players in this space: Microsoft, Amazon Web Services, Google Cloud, IBM, SAP, Salesforce, Oracle, Alibaba Cloud, Tencent Cloud, Huawei Cloud, Cisco, Hewlett Packard Enterprise, Dell Technologies, Adobe, Palantir, Infosys, Tata Consultancy Services, Capgemini, Accenture, Fujitsu, NTT Data, Hitachi, and EPAM Systems.

Each of these companies operates in enterprise technology, cloud computing, or large‑scale digital services, and they are all positioned to adopt automation in ways that could reshape their workforces over time.

What "predictions" could be observed for large call center companies, given "possible automation"?

Afraid?

Just concerned for now.

Call‑centre companies are standing right on the edge of the same transformation we see in firms like Oracle, and the direction is becoming clearer with every new wave of automation. What is happening is not a small adjustment but a structural shift. The companies relying on thousands of agents for routine inquiries will feel the pressure to automate as much as possible, especially when margins are thin and clients demand lower costs. The prediction for the industry is a gradual but steady reduction in human roles, and that because automation offers a level of scale and efficiency that is impossible to ignore. Large call‑centre firms will likely shift toward hybrid models where smaller teams of specialised agents handle escalations while AI manages the bulk of daily traffic.

Companies that fail to adopt automation risk losing clients to competitors who can offer faster service at lower cost. The transition will not be painless, but it is already underway, and the firms that adapt early will define the new standards for the industry. The ones most exposed to this shift and most likely to adopt large‑scale automation: Webhelp, Sitel, Teleperformance, Concentrix, Alorica, Group, TTEC, Foundever, Genpact, TaskUs, , Transcom, HGS (Hinduja Global Solutions), Wipro CX, Cognizant, Infosys BPM, and Atento too. These companies operate across continents, manage millions of customer interactions every day, and are already integrating AI tools into their workflows. They represent the top tier of the global industry and will be the first to feel the full impact of automation as it accelerates.

Are there clear advantages and disadvantages to implementing increased automation in a call center company? And which of these are most likely to implement artificial intelligence agents? Some companies stated 2 years ago that they would not apply or implement artificial intelligence agents in place of humans. What can you find relevant and related?

The call‑centre industry is entering a moment where automation is no longer a distant idea but a practical tool that companies can deploy at scale. Automation brings clear advantages for call‑centre companies because it allows them to handle enormous volumes of customer interactions with consistent speed and without the limits of human fatigue. This means shorter waiting times, lower operational costs, and the ability to offer round‑the‑clock service without expanding physical offices. For companies under pressure from clients who demand cheaper contracts, automation becomes a strategic weapon. Yet the downsides are equally real. Over‑automation can damage the quality of service when customers face rigid or unhelpful AI systems, especially in emotional or complex situations.

It can also weaken the company's reputation if clients feel they are being pushed toward machines instead of people. Internally, heavy automation can create anxiety among employees, reduce loyalty, and make it harder to maintain a stable, experienced workforce. The balance between efficiency and humanity becomes delicate, and companies that misjudge it risk losing both clients and talent.

For employees, the impact is mixed but often difficult. Automation removes many of the repetitive tasks that make call‑centre work exhausting, which could allow human agents to focus on more meaningful interactions. However, the reality is that many roles will shrink or disappear, and workers may find themselves competing for fewer positions that require higher emotional intelligence or more advanced problem‑solving skills. The transition can feel abrupt, especially when companies adopt AI tools faster than they invest in retraining. Of course, those who adapt early may find new opportunities in supervising AI systems, handling escalations, or managing hybrid workflows. Still, the overall direction suggests that the number of traditional call‑centre jobs will decline as automation becomes more capable and more widely accepted.

Among the major global players, several are positioned to adopt AI agents aggressively because their business models depend on scale and efficiency. Concentrix, Alorica, TTEC, Foundever, TaskUs, Genpact, Infosys BPM, Cognizant, Wipro CX, and Webhelp are all deeply invested in digital transformation and have already integrated AI into parts of their operations. These companies work with large corporate clients who expect rapid adoption of new technologies, which makes automation not just an option but a competitive necessity. They are also more open to restructuring their workflows around AI because they operate in markets where clients reward speed and cost reduction.

Teleperformance has publicly stated that it would not replace human agents with AI, emphasising the importance of human empathy in customer service. That statement was made during a period of intense scrutiny, when the company faced criticism about working conditions and wanted to reassure both employees and regulators. That statement was partly strategic, aimed at reassuring employees and clients during a period of uncertainty. Since then, however, Teleperformance has quietly expanded its use of automation tools, especially in areas like call routing, fraud detection, and basic customer inquiries.

The company may not openly embrace full AI agents in the way others do, but it is already moving toward hybrid models where machines handle the first layer of interaction and humans step in only when needed. The shift is slower and more cautious than its competitors, but the direction is unmistakable. No major call‑centre company can afford to ignore automation when clients increasingly expect it.

Whoau! Again, no comments! And other representative european names?

Understandable. The situation for TTEC, Webhelp, and Sitel/Foundever is evolving quickly, and each of these companies is being pushed toward automation whether they openly admit it or not. TTEC works with large American corporations that expect faster, cheaper service, and this pressure makes automation almost unavoidable. The company is unlikely to replace all human agents, but it is already shifting toward hybrid models where AI handles the predictable tasks and humans step in only when the situation requires emotional intelligence or complex reasoning. Webhelp, now part of Concentrix after their merger has been more open about using automation to streamline operations, especially in Europe where labour costs and regulatory pressures vary widely.

The merger with Concentrix accelerates this trend because Concentrix is one of the most aggressive adopters of AI in the entire industry. This means Webhelp will not only follow the automation path but likely speed up its adoption to match the standards of its new parent company. The combined group is now one of the largest in the world, and scale naturally pushes them toward automation to maintain margins. Sitel, now rebranded as Foundever, has been more cautious in its public messaging, but the internal direction is unmistakable. The company has been integrating AI tools into its workflow for years, even if it avoids dramatic announcements. Foundever focuses heavily on "experience design," which is a way of saying that it blends human agents with automated systems to create smoother customer journeys.

I don't know how many times I've grown tired of these limited AI agents! Try contacting Skrouts [the equivalent of Amazon in Greece! A wall! The AI ​​can't understand conversational variations. Furthermore, if someone asks, "Why is this or that on my account?" or "What are you doing to ensure the courier arrives this time?", they're never able to answer those questions. The owner - or rather, the company - won't let them answer! So, who cares!

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