22,000 Jobs Cut, Foundry Plans Falter — Is Intel Running Out of Time?

With fierce competition from Nvidia and challenges securing fabless clients, Intel’s success depends on its AI chip strategy and timely delivery of the 18A process node.

Introduction:

Intel, once the undisputed king of semiconductors, is now facing one of its most critical challenges yet. The company announced a massive workforce reduction of 22,000 jobs cut by mid-2025, signaling more than just cost-cutting.

It reflects a sharp shift in strategy amid faltering foundry ambitions and fierce competition in the AI chip market.

Can Intel turn the tide, or is time running out for the Silicon Valley giant?

At a Glance: 5 Key Insights

PointInsight
Workforce ReductionIntel plans to cut 22,000 jobs, affecting manufacturing and middle management.
Foundry StrugglesIntel Foundry Services (IFS) failed to attract key fabless clients like AMD and Qualcomm.
AI Focus ShiftThe company pivots to AI chip design and advanced R&D under CEO Lip-Bu Tan.
18A Process NodeIntel bets on its 18A technology by 2026 as a last chance for tech leadership.
National ImpactIntel’s struggles threaten U.S. semiconductor independence amid global supply risks.

Foundry Dreams Meet Harsh Reality

Intel’s Intel Foundry Services (IFS) aimed to replicate Taiwan’s TSMC dominance on U.S. soil. With billions invested in new fabs, Intel sought to become the go-to manufacturer for fabless chipmakers. However, the plan fell short.

Major players like AMD, Qualcomm, and Apple avoided Intel’s foundry. AMD stuck with TSMC; Qualcomm chose Samsung and TSMC. Intel’s mixed role as a chip designer and manufacturer created trust issues. Clients feared Intel would favor its own products, a conflict absent in pure-play foundries.

This hesitation led to weak foundry demand, forcing Intel to slash jobs, especially in manufacturing and middle management.

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Pivot to AI: Intel’s New Lifeline?

Under CEO Lip-Bu Tan, Intel is betting on AI chips to regain ground. The company focuses on:

  • Designing power-efficient AI accelerators.
  • Competing with Nvidia’s dominant DGX systems.
  • Improving high-speed memory and inter-process communication.
  • Developing the advanced 18A process node with gate-all-around (GAA) transistor tech.

But Intel faces stiff competition. Nvidia controls about 82% of the AI chip market, with AMD and Intel trailing far behind.

CompanyEstimated AI Chip Market Share (2025)
Nvidia82%
AMD9%
Intel6%
Others3%

The 18A Node: A Final Hail Mary?

Intel’s 18A node, expected by late 2026, promises improved power efficiency and performance through advanced transistor architecture. It represents Intel’s last realistic chance to leapfrog competitors.

But Intel has a history of delays. The 10nm and 7nm nodes took years longer than planned. Failure to deliver 18A on time could push Intel further behind.

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Why Intel’s Struggles Matter Beyond Business

Intel’s woes are not just corporate issues—they have national significance.

The CHIPS Act supports domestic semiconductor manufacturing to reduce U.S. reliance on Asia, especially Taiwan, where geopolitical risks loom large. Intel was the cornerstone of this strategy.

If Intel cannot revive its foundry or AI ambitions, U.S. tech sovereignty weakens, leaving America dependent on foreign suppliers.

Analogy: Intel’s Marathon in a Changing Race

Intel is like a marathon runner who trained for a marathon but suddenly finds the race changed to a sprint.

Its foundry strategy was the long-distance game. Now, AI demands speed and agility. Intel must adapt quickly or risk being left behind.

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Conclusion: The Road Ahead

Intel’s 22,000 job cuts and strategic pivot reveal a company fighting for survival in a fast-changing semiconductor landscape.

Success hinges on delivering breakthrough AI chips and the 18A node. Failure could cost more than market share — it could reshape global tech power.

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Kumar Priyadarshi
Kumar Priyadarshi

Kumar Joined IISER Pune after qualifying IIT-JEE in 2012. In his 5th year, he travelled to Singapore for his master’s thesis which yielded a Research Paper in ACS Nano. Kumar Joined Global Foundries as a process Engineer in Singapore working at 40 nm Process node. Working as a scientist at IIT Bombay as Senior Scientist, Kumar Led the team which built India’s 1st Memory Chip with Semiconductor Lab (SCL).

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