Tech Leaders Gather at Baird Silicon Slopes to Navigate the Agentic Era

Key Takeaways

Baird’s Technology Equity Capital Markets team hosted its 5th annual Silicon Slopes Technology Summit, uniting public and private company executives alongside institutional investors for a rich discussion of how the landscape has evolved and where the sector is headed. Across more than 20 conference sessions, three themes emerged consistently: the agentic AI transition is real and accelerating, data ownership is an increasingly important competitive differentiator and the technology platforms continuing to drive innovation are well positioned to compound their advantages. We share key insights from panel discussions and conversations at the Silicon Slopes conference below.

Participating Companies

The shift from AI as a productivity tool to AI as an autonomous operator inside enterprise workflows is no longer theoretical. Multiple management teams described agentic workloads, including AI systems browsing, reading, transacting, and governing themselves without direct human input, as a present-tense revenue driver rather than a roadmap item.

• Infrastructure: Network traffic driven by AI agents is already at record levels, creating volume tailwinds for infrastructure platforms sitting in the flow.
• Security: Credential and identity management is emerging as a critical agentic bottleneck. When agents get stuck at authentication layers, they are either stalling deployment or picking up hardcoded secrets, both of which are driving a new enterprise security spending category.
• Sales Productivity: Revenue intelligence platforms are deploying agents across the sales motion, with productivity per sales rep rising materially as a result. One company cited rep quota capacity increasing from $1.0–1.4M to $1.8–2.4M due to AI-enabled workflow automation.
• Commerce: Marketing automation platforms are running AI agents that trigger personalized consumer journeys in real time, with the most effective deployments built on top of well-structured, proprietary customer data infrastructure.

Across the various Technology verticals represented, management teams consistently drew the same distinction: the AI model is a capability that improves continuously. The proprietary data built on top of it is a meaningful and lasting source of differentiation. This dynamic is informing how leading technology companies are investing in their businesses and how investors are evaluating long-term competitive positioning.

• Security: A leading cybersecurity company with over 30 years of telemetry across firewalls, endpoints, and email sensors articulated it directly: you can rent a frontier model, but you cannot replicate decades of proprietary security data. AI makes the platform faster; it does not level the playing field.
• Marketing Automation: Marketing platforms processing billions of behavioral data points daily emphasized that agents are only as powerful as the quality and structure of the data they ingest. Real-time, transaction-linked behavioral data is not easily replicated from a standing start.
• Financial Technology: Health savings account administration exemplifies a financial data moat: years of contribution, withdrawal, and investment behavior that informs product expansion into adjacent consumer health services.

AI is prompting a thoughtful evolution in how enterprise technology is priced and packaged. The seat-based SaaS model is being complemented by consumption and output-based approaches as AI agents take on more of the workflow. Companies are navigating this transition with confidence, viewing it as an opportunity to better align pricing with the value they can deliver.

• Hybrid Models Emerging: Several companies have begun layering consumption-based pricing alongside existing seat models, with full transition expected as renewal cycles allow. A blended approach, with seats for human users and metered usage for agents, appears to be another near-term solution.
• ROI is the Gating Requirement: Companies that can demonstrate measurable ROI, including metrics such as rep productivity gains, margin expansion from agentic operations, and revenue per visit increases, are winning budget approval faster and expanding within existing accounts.
• Market Maturation: Platforms with full-stack offerings and proprietary data are gaining share as the market matures and enterprise buyers consolidate vendors. Category leaders with broad capabilities are increasingly well positioned to capture expanding budgets.
• Internal AI Efficiency: AI-driven internal efficiency is enabling meaningful margin expansion across multiple companies. Agentic coding, workflow automation, and more efficient resource allocation are collectively changing the cost structure of technology businesses.

Final Thoughts: The Next Chapter Takes Shape

The Technology companies that participated at Baird’s Silicon Slopes event share an important characteristic: they are continuing to drive innovation. AI is strengthening positions in the market and creating new opportunities to expand into adjacent use cases.

Overall, the tone across public and private company sessions was constructive and forward-looking. Growth trajectories are holding, demand signals remain stable, and AI is beginning to show up meaningfully in both efficiency and revenue metrics. As consumption pricing matures and agentic workflows scale, the broader opportunity remains in early innings, and the broader Technology landscape is well positioned to evolve into next chapter.

Interested in learning more? Connect with Baird Global Investment Banking.