In 2025, artificial intelligence in the workplace soared, but managers struggle with the technology. A recent MIT study found that 91% of data leaders cite cultural challenges as the main obstacle to becoming data-driven, while only 9% point to technology challenges.

As AI becomes more prevalent in companies, managers must navigate their AI-related responsibilities. In 2026, they will need to adapt to tools that enhance efficiency, streamline scheduling, and reduce time spent on routine tasks.

Legion Technologies surveyed U.S. company managers on their expectations for AI in 2026. The biggest impactors include cutting through day-to-day noise, improving performance, and automating repetitive updates.

Managers are eager to leverage AI for real-time staffing adjustments, automating tasks, and making smarter scheduling decisions. AI can provide efficiency and relief in decision-making, allowing managers to focus on strategic activities.

In 2026, AI will handle tasks like taking meeting notes, tracking employee performance, and drafting reports. Managers will need to supervise AI performance, validate output, and ensure it aligns with the organization’s goals.

Businesses in 2026 will integrate AI into core activities, increasing time demands on managers. AI will be incorporated into HR functions, project management software, CRM systems, and other key areas, requiring managers to act on insights and guide teams through changes.

Effective corporate AI plans aim to reduce friction, not replace people. Managers should use AI to handle routine work transparently, focusing on coaching, problem-solving, and building trust with their teams.

Managers must view AI as a stakeholder, not just a means to automate outcomes. They should set boundaries for AI responsibilities, alleviate burnout, provide clarity on tasks, and increase the value of work performed.

Applying AI tools to their workflows first, managers can identify challenges and achieve outcomes previously unattainable. As companies like Asana redesign workflows with AI, managers must redefine quality standards and identify valuable human skills.

In 2026, AI will be applied to operational work like distributing information, tracking understanding, and eliminating redundant tasks. This shift allows managers to focus on leadership, context-setting, and decision-making tasks unique to humans.

Read more at Yahoo Finance: How AI will change work for managers in 2026