Just two years ago, Intel was considered by many investors to have definitively lost the battle for the future of the semiconductor industry. While Nvidia dominated the AI accelerator market, AMD was gaining share in servers, and TSMC had become virtually indispensable as the world's most advanced chipmaker, Intel was struggling with technology problems, layoffs, and a loss of investor confidence. Today, however, a new trend is emerging that could give Intel a chance to save its business.

The company that slept through the first wave of AI
For years, Intel $INTC was synonymous with computer processors. It dominated the PC and server market, and its x86 architecture formed the foundation of the modern computing world. However, the situation began to change with the advent of mobile devices and later artificial intelligence.
While Nvidia $NVDA was able to transform its GPUs into the main engine of the AI revolution, Intel remained primarily focused on the traditional CPU segment. This was followed by several years of technological delays, loss of manufacturing dominance and increasing market dependence on Taiwanese manufacturer TSMC $TSM. In 2024, the situation culminated in the stock plunging more than 25% in a single day after the company suspended its dividend and announced sweeping cuts.
The rise of Lip Bu Tan
The turning point came with the arrival of new CEO Lip Bu Tan, who took over the company in 2025. Tan is a respected figure in the semiconductor industry due to his tenure at Cadence Design Systems $CDNS.
Under his leadership, Intel has begun restructuring, strengthening management and focusing on more effective execution of its long-term strategy. According to management, the company has been able to stabilize its financial situation and create the conditions for a return to growth.
AI doesn't have to be just about GPUs
It's about a new generation of AI systems that don't just function as chatbots answering questions, but can independently perform tasks, plan actions or collaborate with other systems.
This is where traditional processors (CPUs) are starting to become more important. While training models still requires extremely powerful GPUs from Nvidia, running large-scale AI systems often uses a combination of GPUs and CPUs. Analysts point out that the growing number of AI agents may significantly increase demand for server CPUs, an area where Intel still has a very strong position.
According to TriOrient 's Dan Nystedt, CPUs make up the majority of Intel's business, and their return to the center of AI infrastructure could be one of the main drivers of the company's recovery.
The king of AI remains intact
Although there is talk of a possible Intel comeback, it doesn't mean a weakening of Nvidia's $NVDA position. The Jensen Huang-led company still holds a dominant share of the AI accelerator market, and its Blackwell chips set the standard for training the most advanced models.
Data centers around the world are investing hundreds of billions of dollars in AI infrastructure, and most of that investment is still going to Nvidia. Thus, Intel is not seeking to directly displace Nvidia from the market, but rather to capture a larger portion of the overall AI ecosystem.
CPUs and GPUs as partners
This is not a CPU versus GPU battle. Modern data centers use both technologies simultaneously.
GPUs perform the massively parallel computations required for machine learning, while CPUs manage the operation of systems, data management and communication between components. If the number of AI applications continues to grow exponentially, both Nvidia and Intel stand to benefit.
Intel's biggest competitor
If Intel has a chance to make a comeback, it will have to face AMD $AMD first and foremost. The company, led by Lisa Su, has managed to gain a significant share of the server processor market over the past few years, and its EPYC products have become a serious alternative to Intel's solutions.
In addition, AMD has also successfully entered the AI accelerator field, where it is gradually expanding the range of Instinct chips.
It will not be enough for Intel to benefit from the growing demand for CPUs. The company must also convince customers that its products can compete on performance and energy efficiency.
A manufacturing giant that is changing the industry
One of Intel's main problems in recent years has been the loss of manufacturing dominance. While Intel has historically designed and manufactured its own chips, TSMC has gradually built a dominant position in the production of the most advanced semiconductors.
Today, it produces an estimated 90% of the world's most advanced chips, making it a key player for companies like Nvidia, AMD and Apple $AAPL.
Intel is therefore looking to rebuild its own foundry business and become an alternative to TSMC. The success of this strategy could have a major long-term impact on the company's bottom line.
Comparison with competitors
The current situation in the semiconductor sector shows some interesting trends:
Nvidia dominates AI accelerators.
AMD is gaining share in server processors.
TSMC dominates the most advanced chip manufacturing.
Intel is looking to capitalize on the return of CPU relevance and rebuild its own manufacturing capabilities.
Strategic view
Intel represents one of the most exciting opportunities in the semiconductor sector today. Unlike Nvidia, which is already prized as the dominant winner of the AI revolution, Intel's future depends primarily on the successful execution of a turnaround.
The key question is not whether AI will continue to grow. Rather, it is whether Intel can tap into the emerging demand for server CPUs while restoring its manufacturing competitiveness.
What to watch next
The evolution of demand for server CPUs in AI infrastructure,
The pace of agent AI expansion,
the progress of Intel Foundry's manufacturing processes,
market shares relative to AMD,
new contracts with cloud service providers,
management comments on AI strategy.
Intel's position has changed significantly over the past two years. The company, which many investors wrote off after a series of strategic missteps and technology delays, is emerging as a candidate for one of the biggest "resurrections" in the semiconductor industry.
Although Nvidia remains the dominant force in the AI revolution, the growing importance of CPUs in the next generation of agent-based AI is creating an opportunity for Intel that few saw just a year ago.