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Lip-Bu Tan Is Continuing Pat Gelsinger’s Intel Turnaround—But Not on His Terms

By TheFinanceBase Team 10 min read

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Short answer: Intel CEO Lip-Bu Tan has retained Pat Gelsinger’s central ambition: keep Intel as a chip designer while rebuilding it into a leading-edge contract manufacturer. But Tan is changing the investment logic. Rather than committing to manufacturing capacity first and hoping customers follow, he is tying future spending—especially on Intel’s 14A process—to customer commitments, execution milestones and a more commercially usable foundry.

That makes Tan’s strategy a continuation in destination but a substantial change in route. Intel’s 18A process and its own products remain important, while 14A and later nodes face a stricter test: can Intel attract meaningful, repeat external customers? Until that question is answered, Intel’s improved financial results represent stabilization—not a completed turnaround.

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The leadership handoff

Pat Gelsinger became Intel’s CEO in February 2021 and left the role on December 1, 2024. Michelle Johnston Holthaus and David Zinsner served as interim co-CEOs until Lip-Bu Tan formally became CEO on March 18, 2025, according to Intel’s 2026 proxy statement.

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Tan was a logical successor because he understood both chip design and the broader semiconductor ecosystem. He led Cadence Design Systems from 2009 to 2021 and served on Intel’s board from September 2022 through August 2024. Cadence’s design tools are part of the infrastructure that chip companies need to design, verify and manufacture advanced processors.

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That background also shaped Tan’s criticism of Intel’s bureaucracy, workforce structure and approach to contract manufacturing. His appointment did not signal that Intel was abandoning manufacturing. It signaled an effort to make manufacturing more disciplined and easier for outside customers to use.

Intel’s appointment announcement and contemporaneous reporting described Tan’s continued goal of making Intel both a world-class products company and a world-class foundry.

What Gelsinger tried to build

Gelsinger’s strategy, commonly associated with IDM 2.0, sought to preserve Intel’s traditional integrated-device-manufacturer model while opening its factories to outside customers.

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The plan had several parts:

  • Continue designing Intel processors and other products.
  • Recover Intel’s leadership in advanced manufacturing.
  • Build Intel Foundry into a merchant foundry competing for external chip designs.
  • Invest heavily in fabs, equipment, packaging and process technology.
  • Expand manufacturing in the United States and allied countries.
  • Use Intel’s manufacturing capability to support future AI and computing products.

Intel’s own Gelsinger-era foundry plan presented manufacturing, a more independent Intel Foundry, an internal foundry model, “Smart Capital” and an AI strategy as central parts of the turnaround.

The logic was understandable. Intel had fallen behind Taiwan Semiconductor Manufacturing Co. in manufacturing execution, faced CPU-share pressure from AMD and other competitors, and missed much of the first major wave of AI accelerator growth. Rebuilding process technology and domestic capacity could address both Intel’s business weakness and wider U.S. semiconductor-security concerns.

Why the original approach became difficult

The problem was timing and risk. Intel had to spend heavily on fabs and process technology before it had demonstrated that external customers would use those facilities at scale.

That created several financial and operational pressures:

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  • Large capital expenditures increased cash-flow demands.
  • New fabs created depreciation and utilization risk.
  • Intel Foundry lacked a proven anchor customer at the scale needed to justify its investments.
  • Product development and manufacturing recovery competed for management attention.
  • Delays or weak yields could leave expensive equipment underused.
  • Nvidia and other companies captured much of the AI growth while Intel was still rebuilding its position.

In simplified terms, the earlier model looked like: build the technology and capacity, then attract customers. Tan is moving Intel toward: work with customers earlier, secure commitments and then scale investment against demonstrated demand.

What Tan has kept

Intel remains a combined products-and-foundry company

Tan has not separated Intel’s chip-design business from its manufacturing ambition. His stated objective remains a company that designs competitive products and operates a serious advanced foundry.

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This is an important distinction. Tan is not treating Intel Foundry as a side project, nor is he simply turning Intel into a fabless chip designer dependent on outside manufacturing.

18A remains a near-term priority

Intel’s first-quarter 2025 earnings comments said the company was focused on ramping its 18A process in the second half of 2025, supporting initial Panther Lake products by the end of 2025 and additional products in the first half of 2026. Those comments are available in Intel’s earnings-call materials.

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That means it would be inaccurate to describe Tan’s strategy as abandoning 18A. Intel’s own products are a near-term test of process execution and can provide an internal manufacturing anchor.

However, a successful 18A product launch would not by itself prove that Intel Foundry has become a viable merchant-foundry business. External customers need design tools, process-design kits, intellectual-property libraries, technical support, predictable yields, confidentiality and delivery performance in addition to working process technology.

Foundry remains strategically important

Tan has continued to describe foundry success as a customer-service and ecosystem challenge, not merely a question of whether Intel can manufacture a wafer.

Intel has emphasized the need for:

  • Industry-standard electronic-design-automation tools.
  • Customer-specific design methodologies.
  • Useful process-design kits and IP support.
  • Predictable power, performance, area and cost outcomes.
  • Reliable yields and delivery schedules.
  • Quality and confidentiality that major chip designers can trust.

Tan’s Cadence experience makes this emphasis especially significant. A foundry can have advanced equipment and still fail commercially if customers find it too difficult, risky or expensive to design products for that process.

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AI is still part of the strategy

Tan’s early comments continued to identify AI as a major opportunity, including reasoning models, agentic AI and physical AI. The shift is one of emphasis rather than abandonment. Intel does not need to copy Nvidia’s entire accelerator business to participate in AI.

Potential areas include CPUs, inference, accelerators, networking, packaging, software, memory integration and manufacturing services for other AI companies. But broad participation is not the same as demonstrated AI success. Investors should judge this area through product launches, customer adoption and revenue—not strategy language alone.

What Tan has changed

1. Customer commitments come before major 14A investment

The clearest change concerns Intel’s next-generation 14A process. Tan has said Intel is developing 14A in close partnership with external customers and that future investment should depend on confirmed commitments.

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Reporting on Intel’s foundry plans said the company could pause or cancel 14A and subsequent technologies if it failed to secure a significant customer. See the reported 14A customer-commitment requirement.

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This is more than a change in presentation. It changes who bears the risk. Under a build-first strategy, Intel bears much of the risk that capacity will go unused. Under Tan’s approach, customer requirements and commitments should guide the scale and timing of additional spending.

2. Capital spending is more conditional

Tan has called for a stronger balance sheet, more selective investment, non-core asset monetization and tighter operating and capital-expenditure targets.

Intel’s 2026 proxy says the company consolidated manufacturing sites, delayed one major new facility and cancelled two other planned facilities to align expansion more closely with market demand and tangible milestones. That is evidence of discipline, but it also shows that the original expansion plan had moved ahead of proven demand.

For investors, the relevant measures are not simply whether Intel spends more or less. They include capital intensity, free cash flow, fab utilization, debt, restructuring charges and whether reduced spending harms the technology roadmap.

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3. Engineering reports more directly to the CEO

In a 2026 interview, Tan said he placed engineering under his direct reporting structure to reduce silos and simplify decision-making. He attributed earlier problems partly to too many organizational layers and said Intel needed a simpler roadmap and more compelling products. Those comments were Tan’s explanation of the organizational change, not independent proof that the structure caused later improvement.

The practical test is whether the change produces faster decisions, clearer accountability and fewer missed milestones without weakening technical review.

4. The foundry must be easier to use

Tan is placing more emphasis on the customer experience around manufacturing. For a chip designer, choosing a foundry involves far more than comparing process-node names. The customer must be able to build a design, verify it, tape it out, manufacture it at acceptable yields and receive products on schedule.

That requires an ecosystem of tools, libraries, packaging, technical support and contractual reliability. This is where Intel’s internal-product expertise may not automatically translate into external-foundry success.

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5. Tan is willing to revisit parts of Intel’s portfolio

By August 2026, Tan had discussed possible memory architectures and concepts involving memory stacked with CPUs. Intel also brought in former SK Hynix executive Seok-Hee Lee. The available reporting does not establish a formal return to commodity memory manufacturing, so these ideas should be treated as exploratory rather than a confirmed new business.

Likewise, Tan’s personal investment in Intel—reported at approximately $12 million during a $19.7 billion stock offering—shows financial exposure, not proof that the strategy will succeed. Analyst interpretations of that investment should not be confused with evidence of a completed customer deal.

Why 14A is the decisive test

18A matters because it tests whether Intel can execute its near-term manufacturing roadmap and produce competitive internal products. But 14A is the sharper test of whether Intel Foundry can become a sustainable external business.

If Intel secures credible external customers for 14A, it would support several conclusions:

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  • Tan’s customer-led model is gaining traction.
  • Intel’s ecosystem is becoming usable for outside chip designers.
  • Future fabs and equipment may have better utilization prospects.
  • Intel could attract additional customers through demonstrated credibility.
  • The company’s U.S.-based advanced-foundry strategy would have stronger commercial support.

If customers do not materialize, Intel may pause or cancel 14A and later nodes. That could create impairment risk, weaken the case for Intel’s integrated manufacturing model and leave the company more dependent on TSMC.

Intel reportedly had approximately $100 billion of chipmaking equipment as of June 28, 2025, making a major foundry retrenchment financially consequential. But readers should distinguish a conditional risk from a confirmed decision: Intel has not announced that it is shutting down advanced manufacturing.

What counts as a real customer commitment?

Not every customer conversation proves commercial success. Stronger evidence would include:

  • A named customer announcement from Intel or the customer.
  • A confirmed tape-out.
  • A multi-year wafer or manufacturing agreement.
  • High-volume production rather than evaluation or early interest.
  • Repeat orders on later processes.
  • Evidence that the customer can meet its cost, yield and delivery requirements.

A signed agreement could still fall short of proving profitability. The customer might never reach high volume, yields might be too low, or the customer might not return for the next process generation.

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Has Intel’s turnaround begun to work?

Intel’s 2025 financial results showed substantial improvement, but not a completed recovery. The company’s 2026 proxy reported:

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Operating margin -4.2% -22.0%
Net income/(loss) -$0.3 billion -$18.8 billion
Diluted EPS -$0.06 -$4.38

The improvement in losses, gross margin and operating margin is meaningful. But revenue was essentially flat, and Intel remained unprofitable. The results show that Intel bought time and improved its position; they do not prove that the foundry model is commercially successful.

Intel also says Tan’s leadership produced better execution, greater operational efficiency, a more engineer-led culture, stronger customer focus and more disciplined manufacturing expansion. Those are company-reported outcomes. The objective evidence to watch is whether they lead to reliable products, paying external customers, better margins and sustainable cash generation.

What investors and policy watchers should monitor

Technology execution

  • 18A production volume and yield improvement.
  • Performance, efficiency and availability of products using 18A.
  • Panther Lake and subsequent product delivery against schedule.
  • Technical readiness of 14A.

External foundry traction

  • Named customers rather than unnamed “interest.”
  • Confirmed tape-outs and production milestones.
  • Multi-year agreements and repeat orders.
  • Evidence that customers are using Intel’s design ecosystem, not merely evaluating it.

Financial discipline

  • Capital expenditures and free cash flow.
  • Gross margin and operating expenses.
  • Debt and balance-sheet strength.
  • Fab utilization and potential impairment charges.
  • Whether spending reductions preserve the technology roadmap.

Product competitiveness

  • CPU performance and efficiency against AMD and Arm-based alternatives.
  • Data-center share and server product adoption.
  • AI-PC and inference opportunities.
  • Intel’s ability to participate in AI through products, software, packaging or foundry services.

Organizational effectiveness

  • Whether direct engineering accountability improves decision speed.
  • Leadership turnover and ability to retain semiconductor talent.
  • Fewer conflicting roadmaps and clearer product priorities.
  • Accountability for missed milestones.

The investor and policy trade-off

Intel’s manufacturing strategy cannot be judged only by the same short-term financial criteria used for a fabless chip company. Domestic advanced manufacturing may carry strategic value for U.S. resilience, national security and supply-chain diversification even if outsourcing every chip to TSMC could appear cheaper in the near term.

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That does not eliminate the need for commercial discipline. Government support and strategic importance cannot compensate indefinitely for poor yields, weak customer demand or underused factories. The central question is whether Intel can turn national and industrial-policy support into a manufacturing business that eventually earns acceptable returns.

For shareholders, this creates a difficult balance. A smaller, more disciplined Intel may reduce near-term spending risk but could also limit the scale of its foundry ambition. A larger investment program may preserve technological options but increase financial pressure if customers do not commit.

What the headline gets right—and wrong

It is accurate to say Tan picked up where Gelsinger left off if that means he retained the broad destination: Intel should remain a product company, rebuild leading-edge manufacturing and operate a serious foundry.

It is misleading if it suggests Tan is simply executing Gelsinger’s plan unchanged. Tan has altered:

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  • The order of operations, by putting customer commitments ahead of large-scale future investment.
  • The capital-allocation standard, by tying expansion more closely to demand and milestones.
  • The operating model, by simplifying reporting and increasing direct engineering accountability.
  • The customer proposition, by emphasizing tools, design support, quality, yield and delivery.
  • The product and AI approach, by favoring selective opportunities rather than assuming one large bet will solve Intel’s competitive position.

There is also an important distinction between internal and external customers. Intel’s own processors can help fill its factories and validate a process. They do not automatically prove that Intel Foundry can serve competing chip designers profitably at scale.

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