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September 8, 2026 2 min Reimagining work in the AI era A blueprint for tomorrow’s human and AI-powered workforce Futures Thought Leadership
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Brian Solis Global Head of Innovation, ServiceNow
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Most organizations approach AI the same way they approach any new efficiency tool: They automate what's repetitive, cut costs, and move on. It works…for a while. But treating AI purely as a cost-cutting mechanism caps its potential at modest efficiency gains on top of an existing playbook. 

The real opportunity is bigger. Organizations that use AI only to scale yesterday's work at a lower price point aren't future-proofing anything; they're optimizing a model that competitors are already leaving behind. The businesses pulling ahead are the ones asking a different question: What can we do now that we never had the bandwidth, budget, or imagination for before? 
 

From automation to exponential performance 

The alternative is augmentation over automation. This approach pairs human judgment, creativity, and relationships with AI speed and scale to unlock outcomes neither could reach alone.  

Getting there requires two shifts happening at once:  

  • Building AI fluency across the workforce so that employees can use AI as a tool that sharpens their output, not as a shortcut that quietly erodes and replaces their thinking 
  • Reimagining how human and AI agent roles are designed together so that freed capacity gets redirected toward genuinely new value rather than simply disappearing 

A 7-phase blueprint 

This thinking can be summarized into an actionable roadmap to reimagine work. 

The Human + AI Blueprint for exponential performance

1. Define intent and create a business case 

Establish why your organization is pursuing AI augmentation (not just automation), and explore value creation rather than cost cutting alone. 

2. Map work and identify value 

Catalog activities by high/low repetition and strategic value to determine what should be automated, augmented, protected, or eliminated. 

3. Design human + agent roles 

Rewrite job descriptions to pair people with AI agents, defining accountability, success metrics, and the optimal human-to-AI ratio for each role. 

4. Build AI fluency 

Launch ongoing learning programs that develop AI literacy across the workforce, and graduate employees through progressive tiers. 

5. Design strategic A -> A -> X2 pilots 

Run 30-day A/B tests comparing automation-only and human-plus-agent workflows against baseline processes to measure time savings, quality gains, and capacity redeployed. 

6. Scale and govern 

Create an AI resources office (a partnership between IT and HR) to manage AI agent role definition, onboarding, performance, compliance, and ethics at scale. 

7. Maintain operational intelligence and optimize lifecycle 

Continuously monitor, measure, and improve AI agent performance through an enterprisewide AI control tower to help ensure sustained value and accountability. 
 

The bottom line 

The biggest barrier to this shift isn't the technology; it's the leadership's imagination. It’s time to leave the old playbook behind and reimagine work for a new era. 

Read our full report for more insights: Work reimagined: The human + AI blueprint for exponential performance

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