AI
AI Power Users Shape the Future of Work
Introduction: The Career Chasm No One Saw Coming
Seventy-five percent of knowledge workers now use AI at work, but a small elite class of power users is leaving their colleagues behind—and bosses are taking notice (Microsoft WorkLab 2024). Over half of new AI users began in the last six months, highlighting rapid AI acceleration in the workplace (The Interview Guys 2025). Most employees dabble with AI tools, but power users dramatically outpace their peers, redefining career success and shaping modern adoption strategies (WSJ 2024).
The stakes are high. Sixty-six percent of managers say they won’t hire someone without AI skills (Microsoft WorkLab 2024), and wage premiums for AI-skilled roles have jumped 56% (PwC Global AI Jobs Barometer, 2025). Skills for jobs are projected to shift ~70% by 2030, with AI-exposed positions seeing 66% faster skills turnover (Future of Jobs Report). AI-driven productivity across common tasks increased by 66% on average for habitual users (The Interview Guys 2025). The question isn’t whether AI matters—it’s whether you’ll master it before your competition does.
Who Are AI Power Users?
AI power users aren’t just frequent users—they’re strategic integrators. Using generative AI daily or several times a week, they treat AI as a versatile collaborator: experimenting, adapting, and reimagining workflows, not just automating tasks. (Microsoft WorkLab, 2024)
Why They’re Winning
The measurable impact is striking:
- Save 30+ minutes per day compared to skeptics (Microsoft WorkLab, 2024)
- 90%+ say AI makes work manageable, increases creativity, and boosts motivation (Microsoft Blog, 2024)
- Visibly outperform colleagues and advance faster (WSJ, 2024)
Types of AI Users
The research identifies a clear spectrum, with professionals falling into four distinct categories:
Skeptics: Rarely use AI, view it as a threat or distraction
These individuals actively avoid AI tools, often citing concerns about accuracy, job security, or philosophical objections to automation. They tend to rely exclusively on traditional methods and may feel overwhelmed by the pace of technological change. Skeptics often miss out on time-saving opportunities and risk falling behind as AI becomes standard in their industry. Their resistance can stem from lack of training, negative early experiences with AI, or genuine concern about the technology’s implications.
Explorers: Experiment occasionally but lack consistency
Explorers are curious about AI and willing to try new tools, but they haven’t yet integrated AI into their regular workflow. They might use ChatGPT for a one-off project or experiment with an AI tool after hearing about it, but then forget about it for weeks. Their usage is reactive rather than proactive—they’ll use AI when someone suggests it or when they stumble upon an obvious use case, but they haven’t developed the habit of systematically considering AI for their tasks. Explorers represent the largest group of AI users, with significant potential for growth.
Regulars: Use AI weekly for specific, predictable tasks
Regulars have found a few reliable use cases for AI and stick to them. They might consistently use AI for drafting emails, summarizing meeting notes, or generating first drafts of reports. However, their usage remains confined to these comfortable, proven applications. They’re productive with AI within their established patterns but rarely venture beyond their routine to discover new applications. Regulars have overcome initial hesitation but haven’t yet developed the experimental mindset or strategic thinking that defines power users.
Power Users: Daily integration across diverse workflows, constantly experimenting
Power users have fundamentally changed how they work. They don’t just use AI—they think with it. AI is embedded in their daily routines, from morning planning to evening wrap-ups, and they continuously explore new applications across different types of tasks. They’ve developed sophisticated prompt engineering skills, maintain personal libraries of effective prompts, and actively share discoveries with colleagues. Power users view AI as a strategic partner that amplifies their capabilities rather than a tool that simply automates tasks.
The gap between power users and skeptics isn’t incremental—it’s exponential. And it’s widening every day.
The Career Impact of AI: What 2025 Research Shows
- 78% of leaders plan specific AI hires in the next year (PwC 2025).
- AI mentions in job listings drive a 17% bump in applications (Microsoft WorkLab 2024).
- LinkedIn members adding AI skills surged 142x in a year (Microsoft WorkLab 2024).
- 170 million new jobs expected by 2030, overwhelmingly favoring those with AI proficiency (The Interview Guys 2025).
- 78% of AI power users are actively considering new roles, creating both opportunity and retention challenges for companies (Betterworks 2025).
- Skills requirements for AI-exposed jobs change 66% faster, compounding the advantage of early adopters (PwC 2025).
Four Habits That Define AI Power Users
- Relentless Experimentation: Frequent use, regular testing, and sharing of AI best practices are foundational (Microsoft WorkLab 2024).
- Strategic Pause: 49% more likely to ask, “Can AI help with this?” before starting any task (Microsoft WorkLab 2024).
- Persistence Through Imperfection: Multiple prompt iterations and learning from setbacks set power users apart (Betterworks 2025).
- Bookending the Day: Structured morning and evening AI use drives process improvements (Microsoft WorkLab 2024).
How Power Users Apply AI: From Tasks to Transformation
Power users have moved far beyond the obvious use cases. They apply AI across a surprisingly broad spectrum:
The Comprehensive Toolkit
Compared to casual users, power users are significantly more likely to use AI for:
- Catching up on meetings and communications (+56%) (Microsoft WorkLab, 2024)
- Analyzing data and generating insights (+51%) (Microsoft WorkLab, 2024)
- Designing visual and multimedia content (+49%) (Microsoft WorkLab, 2024)
- Customer engagement—from chatbots to personalized responses (+49%) (Microsoft WorkLab, 2024)
- Brainstorming and problem-solving (+37%) (Microsoft WorkLab, 2024)
- Drafting and refining written content (significantly higher)
- Process engineering—redesigning entire workflows around AI capabilities (+66%) (Microsoft WorkLab, 2024)
From Task Automation to Process Reimagination
Here’s what distinguishes power users most: they don’t think “AI can help me write this email.” They think “AI can help me reimagine how my entire communication workflow operates.” (Bali, 2024)
They’re not just inserting AI into existing processes—they’re rearchitecting how work gets done. This shift from task-level to process-level thinking is what creates exponential productivity gains and makes power users force multipliers for their organizations. (WSJ, 2024)
The High Cost of Waiting
For Individual Professionals: Career Risk
The “wait and see” approach is no longer viable:
- Skills requirements are evolving at unprecedented speed (Microsoft WorkLab, 2024)
- AI proficiency is frequently cited as a critical differentiator in hiring decisions (Gordon, 2024; WSJ, 2024)
- Early adopters are building compound advantages—their AI expertise makes them more productive, which creates more time to learn, which makes them even more capable
- The gap between power users and casual users compounds daily, making it harder to catch up the longer you wait (WSJ, 2024)
For Organizations: Existential Threat
- 79% of leaders see AI as mission-critical for competitiveness (Microsoft WorkLab, 2024)
- But only 39% have delivered meaningful AI training (Microsoft WorkLab, 2024)
- And just 25% plan to offer AI training this year (Microsoft WorkLab, 2024)
This gap creates several risks:
- Talent flight: The best people will move to organizations that invest in their AI development (Gordon, 2024; White, 2024)
- Efficiency lag: Competitors with AI-powered processes will operate faster and cheaper
- Innovation deficit: Organizations without AI fluency will miss emerging opportunities (White, 2024)
- Security exposure: Without sanctioned tools, BYOAI creates unmanaged risk (Microsoft WorkLab, 2024)
As AI-first competitors emerge, companies without clear strategies face potentially existential challenges. (WSJ, 2024)
Conclusion: The Widening Gap and the Choice Before You
We’re at a watershed moment in the world of work. The competitive advantage is shifting from mere technical adoption to the development of AI power users who drive holistic process innovation.
The divide between power users and casual users isn’t just a productivity gap—it’s becoming a career chasm. (WSJ, 2024; Microsoft WorkLab, 2024)
Power users aren’t just increasing their own output—they’re force multipliers for their organizations, unlocking new value, accelerating innovation, and helping build adaptable, future-ready businesses. (Gordon, 2024; WSJ, 2024) They’re the professionals who will define what excellence looks like in an AI-augmented workplace.
The research shows clearly that AI proficiency combined with organizational support creates exponential advantages. (Microsoft WorkLab, 2024; Microsoft Blog, 2024) The time to develop AI fluency isn’t “someday”—it’s right now, today, this week.
Whether you’re an individual professional or organizational leader, the choice is stark: Embrace AI strategically and intentionally, or risk irrelevance as the gap widens. (White, 2024; WSJ, 2024)
Your Next Step: Start This Week
Don’t wait for permission or perfect conditions. The power users aren’t waiting—they’re already experimenting, iterating, and pulling ahead.
Choose one habit to implement this week:
- Experiment with AI on a task you do regularly
- Practice the strategic pause before starting your work
- Persist through imperfect AI results rather than giving up
- Ask yourself every day: “How can AI help me work smarter right now?”
The future belongs to those who master these habits today. The question is: Will you be among them?
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Comparisons
BOAT Platform Comparison 2026
Timelines and pricing vary significantly based on scope, governance, and integration complexity.
What Is a BOAT Platform?
Business Orchestration and Automation Technology (BOAT) platforms coordinate end-to-end workflows across teams, systems, and decisions.
Unlike RPA, BPM, or point automation tools, BOAT platforms:
- Orchestrate cross-functional processes
- Integrate operational systems and data
- Embed AI-driven decision-making directly into workflows
BOAT platforms focus on how work flows across the enterprise, not just how individual tasks are automated.
Why Many Automation Initiatives Fail
Most automation programs fail due to architectural fragmentation, not poor tools.
Common challenges include:
- Siloed workflows optimised locally, not end-to-end
- Data spread across disconnected platforms
- AI added after processes are already fixed
- High coordination overhead between tools
BOAT platforms address this by aligning orchestration, automation, data, and AI within a single operational model, improving ROI and adaptability.
Enterprise BOAT Platform Comparison
Appian
Strengths
Well established in regulated industries, strong compliance, governance, and BPMN/DMN modeling. Mature partner ecosystem and support for low-code and professional development.
Considerations
9–18 month implementations, often supported by professional services. Adapting processes post-deployment can be slower in dynamic environments.
Best for
BPM-led organizations with formal governance and regulatory requirements.
Questions to ask Appian:
- How can we accelerate time to production while maintaining governance and compliance?
- What is the balance between professional services and internal capability building?
- How flexible is the platform when processes evolve unexpectedly?
Cyferd
Strengths
Built on a single, unified architecture combining workflow, automation, data, and AI. Reduces coordination overhead and enables true end-to-end orchestration. Embedded AI and automation support incremental modernization without locking decisions early. Transparent pricing and faster deployment cycles.
Considerations
Smaller ecosystem than legacy platforms; integration catalog continues to grow. Benefits from clear business ownership and process clarity.
Best for
Organizations reducing tool sprawl, modernizing incrementally, and maintaining flexibility as systems and processes evolve.
Questions to ask Cyferd:
- How does your integration catalog align with our existing systems and workflows?
- What is the typical timeline from engagement to production for an organization of our size and complexity?
- How do you support scaling adoption across multiple business units or geographies?
IBM Automation Suite
Strengths
Extensive automation and AI capabilities, strong hybrid and mainframe support, enterprise-grade security, deep architectural expertise.
Considerations
Multiple product components increase coordination effort. Planning phases can extend time to value; total cost includes licenses and services.
Best for
Global enterprises with complex hybrid infrastructure and deep IBM investments.
Questions to ask IBM:
- How do the Cloud Pak components work together for end-to-end orchestration?
- What is the recommended approach for phasing implementation to accelerate time to value?
- What internal skills or external support are needed to scale the platform?
Microsoft Power Platform
Strengths
Integrates deeply with Microsoft 365, Teams, Dynamics, and Azure. Supports citizen and professional developers, large connector ecosystem.
Considerations
Capabilities spread across tools, requiring strong governance. Consumption-based pricing can be hard to forecast; visibility consolidation may require additional tools.
Best for
Microsoft-centric organizations seeking self-service automation aligned with Azure.
Questions to ask Microsoft:
- How should Power Platform deployments be governed across multiple business units?
- What is the typical cost trajectory as usage scales enterprise-wide?
- How do you handle integration with legacy or third-party systems?
Pega
Strengths
Advanced decisioning, case management, multi-channel orchestration. Strong adoption in financial services and healthcare; AI frameworks for next-best-action.
Considerations
Requires certified practitioners, long-term investment, premium pricing, and ongoing specialist involvement.
Best for
Organizations where decisioning and complex case orchestration are strategic differentiators.
Questions to ask Pega:
- How do you balance decisioning depth with deployment speed?
- What internal capabilities are needed to maintain and scale the platform?
- How does licensing scale as adoption grows across business units?
ServiceNow
Strengths
Mature ITSM and ITOM foundation, strong audit and compliance capabilities. Expanding into HR, operations, and customer workflows.
Considerations
Configuration-first approach can limit rapid experimentation; licensing scales with usage; upgrades require structured testing. Often seen as IT-centric.
Best for
Enterprises prioritizing standardization, governance, and IT service management integration.
Questions to ask ServiceNow:
- How do you support rapid prototyping for business-led initiatives?
- What is the typical timeline from concept to production for cross-functional workflows?
- How do licensing costs evolve as platform adoption scales globally?
