# Роль ИИ на работе в 2025 году • Asana > Роль ИИ на работе в 2025 году • Asana Source: https://asana.com/ru/resources/state-of-ai-work - [Download the report](/resources/state-of-ai-work?chapter=ai-agents#form) - [Discover your AI maturity stage](/resources/ai-maturity-assessment) #### Загрузить исследование ### Download the research Instead of bolting AI onto existing workflows, AI Scalers take a different approach: they rethink work itself to unlock AI's full potential. ### Start with the work, not the tech < highlight >Organizations aren’t fixing broken work, they are automating the chaos.< /highlight > The AI Scalers—those who embrace AI and design their work around it—are redefining work and unlocking real results. don't just use AI, they systematically redesign work around it. They build the infrastructure that turns AI from a helpful tool into an organizational multiplier. AI just becomes another layer of complexity if it’s applied to broken systems. But a small group of organizations are unlocking real value by reimagining how work happens from the ground up. ### This is a work design problem, not a technology problem ### The autonomous future demands more than tools—it demands transformation. ### Discover systematic approaches that actually work Instead of bolting AI onto existing workflows, AI Scalers take a different approach: they rethink work itself to unlock the full potential of AI. ### Start with the work, not the tech Quis Nostrud ### Minim Veniam AI Scalers don't automate broken workflows. Instead, they redesign workflows to eliminate bottlenecks and delays, then use AI to automate approvals, flag blockers, and speed up decisions. AI Scalers don't use AI to squeeze more from maxed-out teams. Instead, they use AI to reduce busywork and redirect human capacity to high-impact efforts like strategy, creativity, and decision-making. AI Scalers don't embed AI in isolated pockets. Instead, they integrate AI into core systems to spot risks early, adjust plans dynamically, and help teams adapt in real time. AI Scalers don't bolt AI onto fragmented workflows. Instead, they build systems that coordinate work, then use AI to manage flow and align people, tools, and priorities in real-time. The Connectivity Tax is the cost of disconnection—when people, tools, and teams work in silos. It leads to misalignment, duplicated work, and too much time spent coordinating work. AI scalers succeed because they eliminate "productivity taxes"—the hidden costs that hinder efficiency and prevent effective AI integration. Our [research](https://asana.com/resources/state-of-work-innovation) reveals the four critical taxes plaguing most organizations. ### The productivity taxes holding back AI transformation Ex Ea ### Ut Aliquip ### When you eliminate the productivity drains that plague most organizations, AI becomes a multiplier instead of just another tool. AI Scalers create clear workflows that make today's AI tools and tomorrow's autonomous systems actually work. They're not just improving productivity—they're building the foundation for the AI-native workplace. ### Redesign work to unlock the full potential of AI AI Scalers don't expect everyone in their organization to start from the same place. To drive adoption that actually sticks, AI Scalers meet people where they are and design tailored paths for growth. ### Transformation starts with people In Reprehenderit ### Irure Dolor ### The four AI personas ### AI adoption by persona The difference between AI personas isn't just about attitude—it's about results. As workers move from skepticism to transformation, both their productivity gains and time savings increase dramatically. ### How AI personas drive different outcomes Making skills development a priority AI transformation fails when organizations treat it as a technology rollout instead of a human journey. The performance gaps between AI personas aren't random. They're the result of systematic empowerment—or the lack of it. ### The empowerment gap that kills AI transformation ### Discover the proven pathway that turns resistance into results Most organizations experiment with AI in isolation. AI Scalers provide support structures that guide employees and reduce organizational risk without constraining innovation. ### AI can’t scale without the right foundation Proident Sunt ### Cupidatat Non AI without guardrails will put your organization at risk. When adoption stays hidden, results vary wildly and no one knows what's actually working. ### Don't push AI into the shadows. AI Scalers build comprehensive systems using three pillars that optimize today's performance while preparing for tomorrow's autonomous capabilities. ### The 3 Ps of AI infrastructure { "navigation": { "heading": "The 3 P's of AI infrastructure", "subheading": "AI Scalers build comprehensive systems using three pillars that optimize today's performance while preparing for tomorrow's autonomous capabilities." }, "badges": { "scalers": "AI scalers", "nonscalers": "nonscalers" }, "tooltips": { "scalers": "AI Scalers", "nonscalers": "Nonscalers" }, "footer": { "logo": { "src": "https://assets.asana.biz/m/322989b4220a5c97/original/Sparkles.svg", "alt": "footer_spark" } }, "sections": [ { "id": "policy", "navigation": { "label": "Policy", "image": { "src": "https://assets.asana.biz/m/7bebf0751e6b8980/original/Illustration-StructureGovernance.png", "alt": "governance-structure-illustration" } }, "topContent": { "leftHeading": "Policy", "leftSubheading": "Structural supports that guide without 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"heading": "What AI Scalers do differently:", "images": { "scalers": { "src": "https://assets.asana.biz/m/5a3ba01c84a73230/original/Frame-1171276428_scaler_3.svg", "alt": "Illustration of AI scalers performance metrics" }, "nonscalers": { "src": "https://assets.asana.biz/m/524c98c0e6ea4c82/original/Frame-1171276462_nonscaler_3.svg", "alt": "Illustration of non-scalers performance metrics" } }, "charts": [ { "id": "performance-primary", "type": "primary", "subheading": "%ai-scalers% are more likely to measure the ROI of AI than %nonscalers%.", "layoutId": "performance", "scalersValue": 85, "nonscalersValue": 51 }, { "id": "performance-secondary", "type": "secondary", "subheading": "%ai-scalers% are more likely to track productivity improvements as a measure of AI’s ROI than %nonscalers%.", "layoutId": "performance-secondary", "scalersValue": 62, "nonscalersValue": 32 }, { "id": "performance-tertiary", "type": "tertiary", "subheading": "%ai-scalers% are more likely to track employee satisfaction with AI solutions as a measure of AI’s ROI than %nonscalers%.", "layoutId": "performance-tertiary", "scalersValue": 43, "nonscalersValue": 32 } ] } } ] } ### Build AI infrastructure that scales using the three Ps framework While organizations struggle with today's AI tools, workers are already planning for tomorrow's autonomous systems. AI agents that plan, execute, and make decisions independently are coming fast—but most organizations aren't ready. ### AI agents are not set up for success Amet Consectetur ### Dolor Sit Sed Do ### Adipiscing Elit Don't let AI agents become your worst teammates Organizations scaling AI agents are 46% more likely to see real productivity gains because they have built the infrastructure that makes AI agents reliable teammates. < highlight > Connected workflows. Systematic feedback. Clear boundaries. < /highlight > ### Are you scaling AI or automating chaos?