Using AI in Critical Environments
Operational AI needs good data, clear processes and clearly assigned responsibility.
View sessionAgents between experiment and operating infrastructure, cost per token versus the total bill, effects on employment and IT jobs: an assessment with recommendations.
Hamid Hosseini assesses where companies stand with AI and AI agents in 2026: what is a trend, what is a thesis, what is hype? Have agents moved from experiment to operating infrastructure, and is the control gap growing faster than maturity? If intelligence per token becomes almost free, what about the total bill for using AI in the enterprise? The talk also looks at how AI and vibe coding affect overall employment, entry-level careers and IT jobs. It closes with recommendations, critical success factors and an outlook on upcoming trends.
Operational AI needs good data, clear processes and clearly assigned responsibility.
View sessionFrom chat to your own AI agent: With Muhammet Kücük, build and test an assistant that helps new employees get started—with supplied documents and clear rules.
View sessionHow clear responsibilities and collaboration turn AI into real changes at SCHUNK.
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