---
title: "How AI’s Golden Rush Is Transforming Traditional Industries: Lessons from Onsemi’s Breakout Quarter"
description: Onsemi beats third-quarter forecasts as AI data centre revenue doubles, offsetting an automotive slump and showing how AI can strengthen legacy sectors.
author: Darie Nani (Editor-in-Chief)
date: 2025-11-04T14:07:37.000Z
updated: 2026-03-04T20:39:30.162Z
canonical: https://www.sovereignmagazine.com/article/how-ai-s-golden-rush-is-transforming-traditional-industries-lessons-from-onsemi-s-breakout-qu
image: https://cdn.nanimediahouse.com/68295453-4207-4445-a28f-d0657cc06b02.jpg
categories: Artificial Intelligence
content_type: Analysis
region: Phoenix
publication: Sovereign Magazine
---

When automotive chip supplier [Onsemi reported its third-quarter earnings](https://www.reuters.com/business/autos-transportation/chipmaker-onsemi-beats-quarterly-estimates-ai-driven-demand-2025-11-03/) on 3 November, the results showed just how much America’s AI boom is reshaping old-school industries. The company posted $1.55 billion in revenue, beating Wall Street estimates of $1.51 billion, with diluted earnings per share of $0.63 versus expected $0.54. AI data centre revenue doubled, helping offset broader automotive market challenges and driving shares up 4% in pre-market trading.

The Phoenix-based semiconductor manufacturer’s results show how artificial intelligence demand creates unexpected winners across traditional industries. While automotive suppliers face ongoing headwinds, companies positioned to serve both legacy markets and emerging AI applications find themselves in a particularly sweet spot. This transformation reflects the broader shift toward [AI factories reshaping computing infrastructure](https://www.sovereignmagazine.com/article/ai-factories-are-the-new-data-centres) as companies race to meet unprecedented demand.

## The AI Catalyst Effect

Onsemi’s dual focus on automotive and data centre chips positioned it perfectly for the AI boom. The company has moved from traditional semiconductor applications to AI-driven technologies, with [CEO Hassane El-Khoury highlighting stabilisation](https://www.investing.com/news/company-news/onsemi-q3-2025-slides-revenue-growth-accelerates-with-ai-data-center-doubling-93CH-4327883) in automotive and industrial markets alongside accelerating AI data centre revenue growth.

This timing proved crucial as other automotive suppliers face severe challenges. [ZF Friedrichshafen, a key supplier to Volkswagen and BMW](https://www.autonews.com/manufacturing/suppliers/an-top-stories-nexperia-chip-crisis-1031/), recently slowed output due to a Nexperia chip shortage caused by geopolitical tensions between the Netherlands and China. ZF cuts shifts while Onsemi reports expanding gross margins and announces ambitious 2027 targets including 10–12% compound annual revenue growth.

The semiconductor shortage challenges facing traditional automotive suppliers show why diversification matters. Companies serving only legacy markets find themselves vulnerable to supply chain disruptions and cyclical downturns, whilst those with AI exposure benefit from secular growth trends driving data centre expansion. The broader [AI chip wars between major players](https://www.sovereignmagazine.com/article/the-ai-chip-wars-heat-up-how-openai-and-broadcom-are-reshaping-manufacturing-s-future) demonstrate how competitive positioning in semiconductor manufacturing has become crucial for long-term success.

## Ripple Effects Across Industries

AI demand creates stabilisation effects that extend far beyond pure technology companies. Onsemi’s automotive segment, despite facing an 18% year-over-year decline, showed sequential improvement and maintained around 500 products in production vehicles supporting electrification trends. The AI revenue streams provided a buffer that allowed the company to maintain investment in automotive R&D during a challenging period.

The automotive industry’s transformation extends beyond traditional suppliers as [AI supercomputing drives autonomous vehicle development](https://www.sovereignmagazine.com/article/ai-supercomputing-drives-autonomous-vehicle-market-growth-in-2025), creating new market opportunities for companies that can adapt their technologies. Similar effects across sectors where AI lifts traditional businesses benefit service industries that embrace technology integration early.

Auto repair shops, for instance, incorporate AI-powered diagnostic tools and digital workflow management. Forward-thinking operators explore opportunities like an [auto repair shop franchise](https://alltune.com/franchising/?utm_source=outbound&utm_medium=blog&utm_campaign=oct25) model that combines traditional mechanical expertise with modern technology platforms.

Success comes from maintaining core competencies whilst adding technological capabilities. Onsemi didn’t abandon automotive chips; it enhanced that business with [AI applications](https://www.sovereignmagazine.com/article/why-nvidia-s-stellar-earnings-couldn-t-stop-the-tech-rout). Similarly, [automotive dealers adapting AI tools](https://canada.autonews.com/retail/an-column-ai-adapt-or-perish-1103/) find they can serve customers more effectively whilst reducing operational costs. The companies thriving in this environment understand that AI adoption isn’t about replacement—it’s about augmentation.

## The Path Forward for Traditional Businesses

Onsemi’s success offers a template for traditional businesses seeking to modernise. The company made acquisitions, including Vcore Power Technology to bolster AI data centre capabilities, whilst advancing vertical GaN semiconductor technology promising higher efficiency for both AI and electrification applications.

The financial confidence behind this approach speaks volumes. Onsemi maintains strong cash flow generation of $293.6 million in Q3 and continues investments despite market uncertainties. This mirrors successful approaches in other traditional industries where companies invest counter-cyclically in technology capabilities, though businesses must navigate the challenges highlighted in [manufacturing’s smart factory revolution](https://www.sovereignmagazine.com/article/the-ai-reality-check-what-manufacturing-s-smart-factory-revolution-means-when-the-bubble-burs) to achieve genuine returns on AI investments.

Small businesses can apply similar principles on their scale. You need to identify where AI tools enhance existing services rather than replacing them. Auto repair shops using AI diagnostics still need skilled technicians. Restaurants implementing AI ordering systems still need quality food and service. Pairing technological capability with human expertise works.

Investment approaches that focus on dual revenue streams prove particularly resilient during market transitions. Companies serving both established markets and emerging technologies can weather downturns in either segment whilst capitalising on growth opportunities.

Onsemi’s success illustrates that the AI revolution isn’t just changing technology companies—it creates opportunities for any business willing to modernise their operations and serve both traditional and emerging markets. As El-Khoury noted, the stabilisation in automotive and industrial segments alongside AI growth suggests that companies embracing technological change build more resilient, future-proof business models. The AI boom isn’t just about finding new opportunities; it’s about using AI tools to serve traditional markets more effectively.