What’s next for AI and how to get there

Frontier AI models converge within 5% of each other. Gartner predicts over 40% of agentic AI projects will be canceled by 2027 because of cost, unclear value, and risk. Oxylabs SVP Gediminas Rickevičius says data infrastructure—structured web indexes and real-time access layers—is now decisive, as agents fail mainly from stale or incomplete information. McKinsey reports 88% of organizations use AI, but only 6% are high performers, underscoring the need for better data curation and context engineering.