AI in Focus: Semiconductors Powering Broadening Technological Revolution
Author: Grace Huang
August 13, 2026
Artificial intelligence (AI) has been the dominant theme in equity markets throughout 2026. Investors have largely focused on the hyper-scalers and their enormous investments in AI infrastructure. Yet large-cap technology is only part of the story as AI is reshaping industries across sectors.
This edition of AI in focus puts IT and communication technology in the spotlight.
Agentic AI is accelerating the shift from workplace tools towards autonomous digital teammates with one goal: total workflow automation.
Semiconductors, which make AI chips work, dominated the investment world during the first half of 2026 as a result, with the PHLX Semiconductor Sector Index (SOX) rising 102% and significantly outperforming the NASDAQ Composite Index (13%) and S&P 500 Index (10%).
These astronomical returns came at the expense of communications service and software stocks. Industry giants like Meta and Google underperformed the NASDAQ as investors weighed the cost of their ever-rising capital expenditure more heavily than their track records of successfully integrating AI into their advertising businesses.
Many investors are understandably wondering what’s next after a period of such explosive growth, with stock and SOX pullbacks to begin the second half expressing this uncertainty. The next frontier appears as if it will be physical AI like robots and self-driving vehicles – but which companies will create the “brains” that power them?
Right now, it’s hard to know. Chasing LLM leadership is becoming an increasingly futile exercise with rankings across coding, reasoning, and agents rotating every few months. Competitive advantage is shifting away from having the “best” model to execution speed, product integration, and ecosystem strength.
Global competition is also intensifying with China making remarkable progress in AI despite having limited access to high-end GPUs. The performance gap between Chinese and American models has narrowed considerably, incentivizing enterprises to shift high-intensity workloads away from expensive proprietary models.
Revenue growth and cash flow are two metrics for investors to watch. Gross margins can provide insight into pricing power and production efficiency, while higher margins often reflect the presence of a technology that can’t be substituted or replaced.
Valuations for semiconductor stocks were high during recent peaks with future success being priced in; strong expected earnings per share (EPS) growth are needed to support them. Free cash flow, meanwhile, remains a meaningful reflection of business health. Several of the hyperscalers saw their stocks stall this year as their substantial infrastructure investments turned their free cash flow negative.
Month-to-month acceleration or deceleration in revenue is also important to watch for fast-growing AI and software companies moving too quickly for standard annual reporting.
Ultimately, AI isn’t just about technology anymore – it’s about execution. The next generation of winners may not be the companies with the most advanced models, but those that can commercialize them most effectively, build durable ecosystems, and convert adoptions into profit. For investors, that means looking past headlines to find which companies are producing tangible value.
The views expressed in this blog are those of the author and do not necessarily represent the opinions of AGF, its subsidiaries or any of its affiliated companies, funds, or investment strategies.
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