Brook Bay Capital, Inovia, and Highgate Technology Ventures at Skift Data + AI Summit 2026

Why It Matters

The discussion signals that venture capital in travel AI will prioritize quantifiable cost‑optimization solutions, shaping startup strategies and funding allocation.

Key Takeaways

• Cost‑saving AI tools win investor contracts due to measurable impact.
• Revenue‑focused travel AI seen as longer‑term but less fundable now.
• Standalone consumer trip planners considered niche, hard to scale.
• Investors demand clear ROI metrics on income‑statement savings.
• Startups must iterate quickly as AI tools become widely accessible.

Pulse Analysis

Travel AI has become a hotbed for venture capital, but the Skift Data + AI Summit highlighted a clear preference for solutions that can demonstrate immediate, measurable cost reductions. Investors like Jacob from Highgate Technology Ventures argue that cost‑saving metrics are concrete and easier to validate, making them more attractive for early‑stage funding. In contrast, revenue‑centric models, championed by Brook Bay Capital’s Gilad Berenstein, are viewed as longer‑term bets that lack the short‑term ROI proof points investors demand. This split reflects a broader industry trend where capital flows toward tools that can quickly impact the bottom line of travel operators, from airlines to hotel chains.

For founders, the panel’s takeaways reshape product roadmaps. Standalone consumer trip planners, despite their innovation, are deemed niche because most lack the scale to generate significant returns for investors. Embedding AI capabilities into corporate travel platforms—such as expense management or itinerary optimization for business travelers—offers a clearer path to measurable savings and, consequently, funding. Startups should therefore prioritize building features that translate directly into cost‑avoidance on an airline’s or agency’s income statement, rather than promising future revenue uplift that is harder to quantify.

The rapid democratization of AI tools adds urgency to this strategic shift. As off‑the‑shelf models become more accessible, competitive advantage hinges on speed of execution and the ability to protect proprietary data pipelines. Companies that can quickly iterate, demonstrate cost efficiencies, and integrate with existing travel ecosystems will not only secure capital but also establish defensible market positions. Founders should frame pitches around concrete ROI, leverage pilot programs with measurable outcomes, and be prepared to defend their value proposition against an increasingly crowded AI landscape.