In the ever-evolving landscape of technology, where the future is forged by the relentless march of innovation, Ivana Delevska, the astute founder and CIO of SPEAR Invest, offers a compelling glimpse into the top picks for the technology sector on July 2, 2026. Delevska's insights, grounded in the belief that the artificial intelligence (AI) investment cycle is entering its next phase, the Agentic AI era, provide a strategic roadmap for investors navigating the intricate web of technology stocks. This article delves into Delevska's top picks, Astera Labs, KLA Corp, and Cloudflare, each chosen for their unique contributions to the evolving AI ecosystem, while also exploring the broader market outlook and the implications for the broader AI value chain.
The Agentic AI Era: A Paradigm Shift
Delevska's perspective on the AI investment cycle is particularly intriguing. She posits that the transition from model training to inference and autonomous agents necessitates a fundamentally different infrastructure. This shift, she argues, is characterized by increased demand for memory bandwidth, high-performance CPUs, low-latency networking, and secure distributed computing environments. The implication is clear: the AI landscape is evolving, and those who adapt to this new paradigm will be the ones to benefit.
One thing that immediately stands out is the role of semiconductor manufacturing equipment. Delevska highlights the critical constraint of semiconductor fabrication tools, which are essential for adding incremental memory and CPU capacity. This constraint, she suggests, is not a sign of the end of the AI investment cycle but rather a catalyst for its extension. As chip manufacturers scramble to expand capacity, the focus on companies enabling the next generation of networking, memory, and semiconductor production intensifies.
Top Picks: Astera Labs, KLA Corp, and Cloudflare
Astera Labs: AI Networking Leader
Astera Labs, a leader in AI networking, is poised to benefit from the next leg of growth in Compute Express Link (CXL) controllers. These controllers enable memory expansion, pooling, and resource disaggregation, which are crucial for meeting the demands of AI inference and agentic workloads. As AI infrastructure moves beyond GPU scaling, Astera's focus on high-speed connectivity and memory infrastructure becomes increasingly valuable. In my opinion, this makes Astera Labs a compelling choice for investors looking to capitalize on the expanding AI ecosystem.
KLA Corp: Semiconductor Manufacturing Equipment
KLA Corp, a key player in semiconductor manufacturing equipment, is uniquely positioned to benefit from rising process complexity and increasing wafer intensity. Delevska notes that every new technology node requires more inspection and measurement steps, making KLA's solutions indispensable. With semiconductor capacity expansion expected to remain elevated for years, KLA offers leveraged exposure to one of the most durable and profitable segments of the semiconductor equipment ecosystem. From my perspective, this makes KLA Corp a solid choice for investors seeking long-term gains in the semiconductor sector.
Cloudflare: AI, Cybersecurity, and Application Delivery
Cloudflare, building one of the world's largest edge networks, is positioned at the intersection of AI, cybersecurity, and application delivery. As AI workloads become increasingly distributed, demand will shift toward infrastructure that can securely connect users, applications, and AI agents with low latency. Cloudflare's global network, Zero Trust security platform, developer services, and AI inference capabilities create a differentiated platform for this transition. Personally, I think Cloudflare's focus on AI-native applications and autonomous agents makes it a long-term beneficiary of the expanding AI ecosystem.
Broader Implications and Future Developments
Delevska's insights extend beyond her top picks, offering a broader perspective on the market outlook. She emphasizes the multi-year expansion of AI spending, supported by persistent infrastructure bottlenecks, particularly in semiconductor manufacturing equipment. This raises a deeper question: how will the industry adapt to these constraints, and what new opportunities will emerge as a result?
One thing that many people don't realize is the potential for innovation in the broader AI value chain. As chip manufacturers race to expand capacity, the focus on companies enabling the next generation of networking, memory, and semiconductor production intensifies. This creates an attractive opportunity set across the broader AI value chain, well beyond the most widely recognized beneficiaries. In my opinion, this suggests a future where the AI ecosystem is more diverse and resilient, with a broader range of companies contributing to its growth.
Conclusion: Navigating the AI Landscape
Delevska's top picks for July 2, 2026, offer a strategic roadmap for investors navigating the intricate web of technology stocks. Her insights into the Agentic AI era, the role of semiconductor manufacturing equipment, and the broader implications for the AI value chain provide a comprehensive perspective on the future of the technology sector. As AI continues to evolve, those who adapt to this new paradigm will be the ones to benefit. From my perspective, this is a fascinating and complex landscape, and Delevska's insights offer a valuable guide for investors looking to capitalize on the opportunities that lie ahead.
