Business

BruntWork Analyzes Intel’s Cost Reduction Plan and Outsourcing Strategy

Published

2 years ago

August 13, 2024

Intel, an American multinational corporation and technology company, announced a cost reduction plan that includes layoffs and reduced outsourcing to Taiwan Semiconductor Manufacturing Company (TSMC) by 2026. TSMC is the world’s largest semiconductor foundry, providing essential services to tech giants like Apple, AMD, and Qualcomm. The change will improve profitability and capital efficiency amid financial challenges. BruntWork, an outsourcing company, provides insights into the implications of Intel’s decision.

Intel’s Financial Struggles and Plans

Intel has been facing financial difficulties, with drops in revenue, net income, and earnings per share. In Q2 2024, Intel’s revenue decreased by 1% year-over-year to $12.8 billion. The company recorded a net loss of $1.61 billion, compared to a net income of $1.48 billion the previous year. Intel’s reported earnings-per-share (GAAP EPS) was $(0.38), and non-GAAP EPS was $0.02.

Intel initiated a cost-reduction plan to save over $10 billion by 2025 to address these challenges. The plan focuses on increasing in-house production and reducing reliance on external foundries. The strategy will give Intel greater control over its supply chain, foster innovation, and better meet market demands. However, it raises questions about the outsourcing industry and the risks of such a weighty change.

The Critical Role of Outsourcing in Business Efficiency

Outsourcing has long been important to business strategy, providing flexibility, cost reduction, and access to specialized expertise. For Intel, it benefits chip design, software development, and manufacturing. BruntWork’s CEO, Winston Ong, states, “Outsourcing allows businesses to focus on their core competencies while leveraging external expertise for non-core functions. The approach reduces operational costs and enhances overall business performance.”

Outsourcing benefits areas like data entry, customer support, and IT services. For data entry, it reduces errors and increases throughput, crucial for businesses handling large data volumes. Customer service outsourcing enables 24/7 assistance across time zones, maintaining high customer satisfaction.

In IT, it provides access to diverse expertise without in-house hiring, allowing flexible scaling of operations. BruntWork’s virtual assistants exemplify these benefits, using advanced tools like data entry automation software, customer relationship management (CRM) systems, and IT service management platforms to enhance efficiency and accuracy beyond in-house capabilities.

Why Cutting Outsourcing May Not Be the Answer

Intel’s decision to reduce its reliance on outsourcing has sparked debate about the potential risks and benefits. In-house production can offer greater control and potentially faster innovation but also presents challenges. The transition requires investment in infrastructure and talent, and missteps could lead to operational disruptions and increased costs.

Winston Ong of BruntWork offers a nuanced view, stating, “Intel’s move towards in-house production is understandable given their current financial pressures, but it’s important to recognize the value that outsourcing brings. Outsourcing provides flexibility and scalability that are difficult to achieve with in-house operations alone. Intel may miss opportunities to leverage external expertise and drive cost efficiencies by reducing their reliance on outsourcing.”

Outsourcing helps Intel stay ahead in semiconductors. Partnerships provide Intel access to design tools and manufacturing capabilities without investing in infrastructure. While partners handle circuit layout, verification, and fabrication, Intel can focus on architecture design and innovation. As Intel expands into artificial intelligence (IT), autonomous vehicles, and the Internet of Things (IoT), outsourcing IT services and customer support unlock access to global talent and skills that will propel the company forward.

Outsourcing also enables Intel to streamline operations and reduce inventory management, financial reporting, and customer data processing expenses. By outsourcing customer support, customers receive uninterrupted assistance, ensuring satisfaction across time zones.

Undoubtedly, outsourcing will become more important in Intel’s business approach. Partnerships with firms like BruntWork allow Intel to focus on core competencies, access technologies and expertise, and maintain its global position.

Business

Click for Counsel: YesLawyer Wants to Make Lawyers as Accessible as Wi-Fi

Published

7 hours ago

April 1, 2026

Matthew Wiles

Photo Courtesy of: YesLawyer

Byline: Andi Stark

For many people facing a legal problem, the most difficult part is not understanding their rights but finding a lawyer willing to speak with them in the first place. Long wait times, unclear pricing, and administrative hurdles often delay even the most basic consultations. YesLawyer, an AI-enabled plaintiff firm operating across all 50 states, is testing whether technology can shorten that gap.

Founded in 2024 by 25-year-old entrepreneur Rob Epstein, the platform offers free intake, automated screening, and, in many cases, same-day conversations with licensed attorneys. The idea is simple: reduce the friction between a client’s first request for help and an actual legal discussion. In this interview, Epstein explains how the system works, where artificial intelligence fits into the process, and what problems the company is trying to address in the broader legal system

Q: When you say you want lawyers to be “as accessible as Wi-Fi,” what does that mean in practical terms?

A: It’s a way of describing speed and availability. Someone dealing with a workplace dispute, a serious injury, or an immigration issue should be able to move from an online form or phone call to a real conversation with counsel in hours, not weeks. YesLawyer is structured so that a client begins with a free case evaluation, goes through automated conflict checks and basic screening, and, in many instances, speaks with a lawyer the same day.

Q: How does the process work once someone contacts the platform?

A: We use a structured workflow. It starts with a short questionnaire and an initial conversation to capture basic facts. That information feeds into conflict checks and internal review. The system then proposes a match with a licensed attorney and provides a calendar link for a virtual consultation, often within 24 hours. After the meeting, the client receives a written legal plan outlining next steps, deadlines, and estimated fees.

Q: Where does artificial intelligence fit into that process, and where does it stop?

A: AI is used for organizing and routing information, not for giving legal advice. It helps with conflict checks at scale, case categorization, and structured summaries so attorneys can focus on the substance of the matter. Every consultation is conducted by a licensed lawyer, and all decisions about strategy or next steps are made by humans.

Q: What problem is this model trying to solve in the current legal system?

A: Delay and cost are still major barriers. Many civil plaintiffs face long waits just to get a first appointment, along with high retainers and hourly billing that make early legal advice risky. We try to respond with faster consultations, flat-fee options, and financing. The idea is to remove administrative friction so lawyers spend less time on logistics and more time speaking with clients.

Q: Some critics say platforms like this blur the line between a technology company and a law firm. How do you describe YesLawyer?

A: We describe ourselves as a national, AI-enabled plaintiff firm that connects clients with independent attorneys. That structure does raise regulatory questions, especially around responsibility and oversight. We focus on licensing verification, attorney-written case plans, and clear communication about fees and services.

Q: You’ve said the main bottleneck is “systems” rather than people. What do you mean by that?

A: The issue isn’t that lawyers don’t want to help more people. It’s that the systems around them make it hard to scale their time. Intake, scheduling, and document handling take hours. Automating those parts means attorneys can handle more matters without being overwhelmed by repetitive tasks.

Q: Does this model risk favoring only the most profitable cases?

A: That’s a real concern in legal technology. Automation often works best for repeatable, high-volume disputes. Our view is that lowering administrative cost can actually make it easier to take on smaller or more complex cases that might otherwise be turned away. Whether that holds over time depends on the data.

Measuring Impact Over Time

YesLawyer’s attempt to compress the timeline between inquiry and consultation reflects broader changes in how legal services are being delivered. As artificial intelligence becomes more common in administrative work, firms are experimenting with new ways to reduce wait times and clarify costs.

The company’s early growth suggests that many clients value faster access to an initial conversation, even before considering long-term representation. Whether this platform-based model becomes widely adopted or remains one of several emerging approaches will depend on regulatory developments, lawyer participation, and measurable outcomes for clients. For now, YesLawyer’s experiment highlights a central question in modern legal practice: how quickly can help realistically be made available to the people who need it.