When Using AI, Are You Working Smarter or Busier?

AI is reshaping the workplace at an unprecedented pace, transforming how we collaborate, learn, and adapt. But as organizations rush to implement AI-powered tools, a critical question emerges: Are we using AI to work smarter, or are we just making ourselves busier?

On a recent SHRM AI+HI Podcast episode, Sam Ransbotham, professor of Business Analytics at Boston College, explored this very challenge. His research reveals a key insight—AI isn’t just about automation and efficiency. When implemented thoughtfully, AI can enhance workplace culture, improve collaboration, and drive innovation. However, without the right approach, it can also create confusion, resistance, and even disengagement.

How AI is Changing Collaboration

AI as a Team Player – A surprising 60% of employees already consider AI a “coworker.” AI is no longer just a tool in the background—it’s becoming an active participant in decision-making, strategy, and execution.

From Optimization to Reinvention – Many organizations initially use AI to automate repetitive tasks and streamline workflows. While this is valuable, the biggest gains come from rethinking entire processes. Instead of simply working faster, AI enables teams to work differently—unlocking new value, enhancing creativity, and making collaboration more dynamic.

Empowering Employees, Not Replacing Them – When AI is integrated successfully, it elevates human potential. Employees can shift from routine tasks to high-value work like problem-solving, innovation, and relationship-building. Organizations who embrace this shift will see higher engagement, stronger teams, and a more resilient workforce.

Why Adaptability is the New Competitive Advantage

AI is disrupting industries at every level, making adaptability the most important skill for long-term success. Ransbotham’s research indicates organizations with a culture of experimentation and continuous learning are far more successful in AI adoption.

The key differentiators?

Encouraging Experimentation – Organizations who embrace AI as a tool for learning—rather than solely for automation—are 2X more likely to navigate uncertainty successfully.

Rethinking Success Metrics – Traditional KPIs often don’t capture the full impact of AI. Organizations need to focus less on output and more on learning, iteration, and long-term value creation.

Building AI Fluency at Every Level – AI adoption isn’t an IT initiative. The most successful companies train and empower employees to integrate AI into their daily work, making it a collaborative asset rather than a top-down mandate.

A Smarter Approach to AI-Driven Collaboration

AI is here to stay, but success depends on how organizations choose to implement it. Companies who prioritize adaptability, continuous learning, and human-AI collaboration will be best positioned to thrive.

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