Why investors are moving money to Agentic AI stocks in July 2026

Investment focus is moving from simple AI training to autonomous agents. This shift is creating new demand for faster data movement and better security compared to last year.

As of July 2, 2026, investor attention in the technology sector is pivoting from GPU-centric hardware scaling toward the "Agentic AI" era. Ivana Delevska, founder and CIO of SPEAR Invest, identifies this phase as a transition toward inference and autonomous software agents, requiring a fundamental reallocation of capital across the broader technology stack.

Targeted SectorInvestment Rationale
ConnectivityHigh-speed demands of agentic workloads.
SemiconductorsRising wafer complexity and process intensity.
SecurityProtecting distributed autonomous environments.

Core Stock Picks and Strategic Positioning

In her July 2 appearance on BNN Bloomberg’s Market Call, Delevska outlined three primary equities positioned to capture value from this architectural shift:

  • Astera Labs: Identified for its capacity to handle high-speed data movement, moving beyond traditional GPU dependency to satisfy increased inference bandwidth requirements.

  • KLA Corp: Selected as a play on the rising difficulty of chip manufacturing; as infrastructure demand climbs, the need for advanced process control and diagnostic precision intensifies.

  • Cloudflare: Positioned to capture the requirement for low-latency, secure, and distributed computing environments necessary for agents to function outside of centralized data centers.

Structural Market Observations

The current investment thesis argues that "Agentic AI" generates a distinct surge in inference workloads, fundamentally different from the training-heavy phases that characterized previous years.

Ivana Delevska's Top Picks for July 2, 2026 - BNN Bloomberg - 1

"As AI shifts toward inference and autonomous agents, investment is broadening across the technology stack, creating new opportunities in CPUs, memory, networking, and cybersecurity." — Ivana Delevska

This assessment aligns with a broader, long-term outlook held by Delevska regarding the Data Center value chain. Historical records of her analysis show a persistent focus on identifying points of friction within the supply chain, moving from general cloud spending assessments in 2023 toward specific hardware bottlenecks today.

Read More: VALR integrates decentralized tech for new trading options from July 6th

Contextual Trajectory

The movement of capital into inference-based infrastructure follows a series of market cycles identified by Delevska since at least late 2024. Her previous calls—often emphasizing that AI stocks are not homogenous—have consistently warned against viewing the sector as a singular block. The current shift to "Agentic" systems marks an evolution from simple generative outputs to automated workflows, which necessitates a more granular look at memory bandwidth and secure network architecture than the initial "build-out" phase of 2024–2025.

Disclaimer: This summary reflects recent market commentary provided on July 2, 2026; it is not an endorsement of the assets mentioned.

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