The AI Revolution: OpenAI May Become Google, Claude May Become Apple, and Google May Become IBM
My thinking is quite simple:
OpenAI may become the new Google. Claude may become the new Apple. Facebook (Meta) may become the Microsoft of this AI revolution. And unfortunately, Google itself may end up becoming IBM. Then there is Nvidia, which is doing something entirely different: selling the shovels to everyone looking for gold. These comparisons are not necessarily about the companies being identical. They are about the roles they may eventually occupy in the technology ecosystem.
Let me explain.1. OpenAI May Become the New Google
Google did not invent the internet. It simply became the most important gateway through which billions of people accessed it. Before Google, there were search engines, directories and portals. The internet was already growing. What Google did exceptionally well was make accessing information simple, fast and useful. I think OpenAI is positioning itself to do something similar with artificial intelligence. For years, our relationship with the internet has largely been built around searching. You have a question, you type a few words, and Google gives you links to places where you might find the answer. AI is changing that relationship. Instead of searching for information, people are increasingly asking for answers, analysis, recommendations and even complete work.
The difference is significant.Google organised information. OpenAI is trying to make information actionable. That is a much bigger shift than simply replacing a search engine. Think about it. People are using ChatGPT to write software, understand documents, analyse data, plan businesses, learn new subjects and make everyday decisions. The interesting thing is that these activities previously required moving between several websites, applications and services.
Now, increasingly, they can begin from a single conversational interface. The company that becomes the default starting point for human interaction with digital information may become the most influential technology company of the next decade.bold text That is the opportunity I see for OpenAI. But there is also a danger.
Google eventually became so dominant in search that protecting its existing business became just as important as innovating. If OpenAI succeeds, it may eventually face that same problem. Today's disruptor can easily become tomorrow's establishment.
2. Claude May Become the Apple of AI
This comparison generated some interesting reactions.Why Claude and not OpenAI?
Because I am not necessarily comparing their market share. I am comparing their product philosophies and the kind of customer relationships they appear to be building. Apple did not become Apple by producing the cheapest devices or trying to satisfy every possible customer. It built a reputation around premium products, thoughtful design, consistency, quality and an experience people were willing to pay more for. I see elements of that philosophy in Anthropic's Claude. Claude appears to be positioning itself around a particular kind of AI experience: serious work, quality outputs, reliability, coding, writing and professional productivity. Of course, OpenAI competes aggressively in these same areas. The distinction is not absolute.
But there is something interesting about the way Claude is being developed and presented. It feels less like an attempt to become everything to everyone and more like an attempt to become an indispensable tool for people who care deeply about the quality of their work. That is a very Apple-like position. And we should remember something about Apple. Apple did not need to dominate the global smartphone market by unit sales to become one of the most valuable companies in the world.
It needed a strong product, loyal customers, a premium experience and an ecosystem that made leaving less attractive. Claude does not necessarily need to become the most widely used AI assistant to build one of the most valuable AI businesses. It needs to become the AI product that a particular class of customers cannot imagine working without.
However, there is one important difference. Apple controls much of its hardware and software experience. Anthropic does not have that same level of control over the devices and operating systems through which people access Claude.
For this comparison to hold over the long term, Anthropic will need to build a much deeper product ecosystem around Claude. A premium model alone is not enough.3. Facebook May Become the Microsoft of the AI Revolution
Now, this is where things get particularly interesting. Meta, the company behind Facebook, Instagram and WhatsApp, already has something most AI companies are still struggling to build. Distribution. Billions of people already use its products. Microsoft understood something very important about the technology industry: you do not always need to create the most exciting product. Sometimes, controlling the environment in which everyone works is even more valuable. Windows became the operating system for personal computing. Office became the default productivity suite for businesses. Microsoft built infrastructure that became part of everyday life.
I think Meta has the potential to play a similar role in AI, particularly through its existing consumer platforms and its investment in the Llama ecosystem. Imagine AI becoming a normal part of WhatsApp conversations, Instagram businesses, Facebook communities, advertising, customer service and digital commerce. People may end up using Meta's AI products without consciously deciding to adopt an AI platform.
That is the power of distribution.A small business owner in Accra may not subscribe to ChatGPT or Claude, but that person probably already uses WhatsApp to communicate with customers. If useful AI tools are integrated directly into that workflow, the barrier to adoption becomes almost nonexistent. And Meta has another interesting advantage. Its open-weight AI strategy has the potential to encourage developers, businesses and institutions to build around its technology. This is not exactly Microsoft's historical proprietary software strategy, but the ecosystem ambition is comparable.
Meta may not need to win the battle for the best standalone AI assistant. It may win by making AI unavoidable across the platforms people already use. Of course, Microsoft itself is not sitting out this revolution. It is one of the strongest AI players through Azure, Copilot and its enterprise relationships. That makes the comparison imperfect, but the underlying point remains: distribution and ecosystem control may matter as much as model intelligence.
4. Google May Unfortunately Become IBM
This is probably my most controversial prediction. Google has almost everything required to dominate artificial intelligence. It has enormous computing infrastructure, world-class researchers, access to massive amounts of information, a powerful cloud business, Android, Chrome, YouTube and an existing relationship with billions of users. Google also helped lay much of the scientific foundation for today's generative AI. The Transformer architecture, which became central to modern large language models, came from Google researchers.
So, the question is not whether Google has the talent or technology. It clearly does. My concern is whether Google has the organisational appetite to disrupt itself. This is where IBM comes into the picture. IBM is one of the most important companies in the history of computing. Its contributions to enterprise technology, research and computing infrastructure cannot be overstated. But over time, IBM became associated more with maintaining and serving established enterprise markets than defining the next major consumer computing revolution. It remained important, but it stopped being the company most people associated with the future of personal technology. I wonder whether Google risks following a similar path. Google's greatest advantage may also be its greatest weakness.
Search advertising has been an extraordinary business model. When a company has such a successful existing business, every major technological transition creates a difficult question: How aggressively do you embrace a technology that could undermine the business paying your bills?
That is not a simple decision. An AI assistant that gives users complete answers may reduce the need to click through traditional search results. That changes the economics of search, advertising, publishing and web traffic. For a company built around those economics, the transition is complicated. This is why I sometimes feel Google is innovating because it has to, rather than because it is genuinely comfortable with where the industry is heading.
But I must qualify that observation.Google is not technologically stagnant. Gemini, DeepMind, its custom AI chips and its work across cloud computing demonstrate substantial innovation.
It would be inaccurate to suggest that Google has stopped building. My criticism is more about organisational incentives than engineering capability. Google has the resources to lead this revolution. What remains to be seen is whether it can move with the urgency of a company that has nothing to lose. Sometimes, having everything makes it harder to risk anything. And history has shown us that technological leadership does not automatically translate into market leadership.
5. Nvidia Is Selling Shovels During the Gold Rush
While everyone is arguing about which AI company will win, Nvidia is enjoying a rather interesting position. It is selling the infrastructure that makes much of this competition possible. During a gold rush, thousands of people may travel to the mining fields hoping to become wealthy. Some find gold. Others do not. But the businesses selling equipment, transportation and supplies can make money regardless of which miners succeed. That is how I see Nvidia. OpenAI needs computing power. Anthropic needs computing power. Meta needs computing power. Google needs computing power, even though it also develops its own AI accelerators.
The entire industry needs enormous amounts of computational infrastructure to train and run increasingly sophisticated models.
Nvidia has positioned itself as one of the most important suppliers of that infrastructure.
And it is not just about GPUs anymore.Paragraph text
Its broader ecosystem includes networking, software, developer tools and computing platforms that make its hardware even more valuable.
That is a powerful business position.
Nvidia does not need to predict which AI assistant will dominate the market. It benefits from the industry's demand for computing infrastructure.However, even the shovel seller has risks. Major technology companies are investing in their own chips. Competition from other semiconductor manufacturers is growing. AI models may also become more efficient, changing the economics of computing demand. So Nvidia's position is strong, but not untouchable.
Still, I find its strategy fascinating. While others compete for the attention of users, Nvidia is helping supply the machinery behind the competition.
6. The Real Battle Is Not About Who Has the Smartest AI
One thing I think we are getting wrong in many conversations about artificial intelligence is the obsession with model benchmarks. Every few months, a company releases a new model. It performs better on certain tests, generates excitement, and suddenly people begin declaring a new winner. Then another model arrives. The cycle repeats. But I do not think the long-term winners will be determined by benchmarks alone.
The real battle will be about who controls the relationship between people, businesses and technology. OpenAI is competing to become the default interface. Anthropic is competing to become a trusted environment for high-value work. Meta is competing through distribution and ecosystem reach.
Google is fighting to preserve and reinvent an enormously valuable position. Nvidia is supplying much of the infrastructure. And Microsoft, Amazon, Apple and several others are pursuing their own strategies across cloud, devices, enterprise software and consumer services.
These are different business models competing within the same technological revolution. That is why I think comparing them purely on model intelligence misses the bigger picture. A company can have the best model and still lose the market.
A company can have a slightly weaker model and still win because it has better distribution, pricing, integration or customer loyalty.
We have seen versions of this throughout the history of technology. The best technology does not always become the dominant technology. Often, the technology that fits most naturally into people's lives wins.
7. What This Means for the Rest of Us
There is another dimension to this conversation, particularly for those of us building technology products and businesses in emerging markets. We should not spend all our time debating which American technology company will win. There are opportunities being created underneath this competition.As AI becomes more accessible, the cost of building useful software will continue to change. Small teams will be able to build products that previously required much larger engineering organisations. Businesses will increasingly expect intelligent features in ordinary software. And many industries, particularly in Africa, still have enormous problems that are not going to be solved simply because a new language model has been released. Healthcare systems still need interoperability.
Public institutions still need reliable data infrastructure. Small businesses still need affordable digital tools. Schools still need better access to learning resources. These are practical problems. And solving them requires more than connecting an AI API to a website and calling it innovation.
It requires understanding the problem, building reliable systems, managing data properly and creating products people can actually use. I believe that is where much of the opportunity lies for local technology companies. We may not build the next Nvidia or OpenAI, but we can build valuable businesses on top of the infrastructure these companies are creating. In fact, that may be the more sensible strategy.
Final Thoughts
I could be completely wrong about these comparisons. Google could successfully reinvent itself and become the dominant AI company. Anthropic could move beyond the premium segment. Meta's distribution advantage might not translate into AI leadership. OpenAI could discover that being the default interface is much harder to monetise than traditional search.
And Nvidia could face stronger competition than many currently expect. But the broader pattern is what interests me. Every major technological revolution produces different kinds of winners. Some companies become the gateways. Some build premium experiences. Some dominate distribution. Some maintain the infrastructure.
And some, despite having enormous resources and a glorious history, struggle to adapt to the new order. My current thinking is that OpenAI, Anthropic, Meta, Google and Nvidia are positioning themselves for very different roles in the AI economy.
The question is not simply who will build the smartest AI. It is who will build the most enduring business around it.
And perhaps the most interesting possibility is that the company which eventually dominates this revolution may not even be the one we are talking about today. Technology has a habit of surprising everyone.
What do you think? Is Google really at risk of becoming the next IBM, or are we underestimating its ability to reinvent itself?