Conference Presentation, Panel, Fireside Chat
Rewiring the Web: Data Access, AI Agents & the Next Digital Revolution | RAISE Summit 2026
RAISE SummitJuras Juršėnas, Fred de Villamil, Chet Haase, Romain Guyett, Francois Chollette, Francisco Neri, Gérald
- The AI era is expected to sustain critical demand for web scraping as models increasingly require live data and autonomous acquisition capabilities "very soon," prompting a strategic shift toward "fresh" and "daily refresh data" to overcome model cut-off limitations.
- Economic models for web access face disruption as search engines and LLMs answer queries directly, potentially reducing traffic to original sites and threatening traditional advertising and subscription revenue streams.
- Technical barriers to data acquisition are projected to intensify as anti-bot defenses evolve from basic CAPTCHA to AI-driven behavioral analysis of mouse movements and click patterns, necessitating advanced reverse engineering and cybersecurity skills for AI agent developers.
- Regulatory landscapes for web scraping are anticipated to remain divergent globally, with the US and China characterized as "much more friendly," the EU as "more conservative," and Southeast Asia presenting significant access challenges, while ethical red lines strictly prohibiting fake accounts or dark web token purchases remain in place.
- A structural transition in website traffic is predicted from human visitors to AI agents engaged in "agentic commerce," driving content owners to restructure sites as destinations for AI and offering LLM-specific versions to facilitate parsing.
- Content owners are likely to adopt more open data strategies to avoid preventing an economy where they can "part of the cake," potentially mimicking the early Google SEO era when blocking data limited business growth.
- Organizations may need to urgently develop sustainable monetization models to prevent the open web from ceasing to exist, as the current trajectory demands a shift from resisting regulation to actively "surfing it" to ensure data availability for AI.