WorkLLM Blogs
Perspectives on how teams actually work with AI — the gaps, the trade-offs, and what it takes to move from individual productivity to shared outcomes.
Turn Ideas Into Action
Explore how teams use shared AI context, assistants, and tools to turn insights into real work — not just reading material.
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Why AI Adoption Feels High but ROI Feels Vague
Most companies today agree on one thing. AI is everywhere. A recent survey by PwC found that nearly 80 percent of business leaders say AI is already changing how work gets done inside their organizations. Employees use AI for writing, analysis, research, and planning, often without formal mandates. Yet when leaders are asked a harder […]
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What Does “AI for Teams” Actually Mean?
AI adoption in the workplace is no longer a question of if. It is a question of impact. According to McKinsey, more than 70% of companies are already using generative AI in at least one function. Yet in the same surveys, leaders consistently report uncertainty about returns at the team and organizational level. Individual productivity […]
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AI Made Individuals Faster. Why Teams Are Still Slow.
Over the last two years, AI adoption at work has exploded. According to McKinsey, over 70% of employees now use some form of generative AI in their day-to-day work, often without formal rollout or training. Productivity experiments routinely show individual gains of 20–40% in writing, analysis, and research-heavy tasks. On paper, this should translate into […]