Digital Labor Is Already Reshaping Work. Here’s What Leaders Need to Do Next

By
Brad Owens
January 27, 2026
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Your competitors aren’t using digital labor to eliminate jobs; they’re using it to outperform you. Digital labor, AI-powered members of your workforce, is rapidly becoming core to how work gets done. With the IDC's latest report projecting that digital labor will unlock $13T in global economic value by 2030 and absorbing 22% of full-time equivalent work, leaders must decide how to reorganize teams around this new reality.

The challenge? Chaotic adoption can undermine your entire workforce. Most organizations treat digital labor like a technology rollout when it actually requires workforce transformation. Leaders who approach this as an AI tool implementation instead of designing a hybrid workforce, will struggle with adoption, fail to capture ROI, and create friction instead of value.

At Asymbl, we help companies with this transition through workforce orchestration, the intentional design and management of hybrid teams using our three-step playbook: design, onboard, and coach.

What the IDC Data Really Means for Leaders

IDC’s analysis leaves little doubt: the barriers to digital labor adoption are rooted in organizational dynamics. Across IDC’s findings and broader research, four blockers determine whether digital labor becomes a performance multiplier or stalls entirely.

  • Governance: We've seen companies stall because no one owns the digital worker's performance: oversight, safety, performance management, and continuous improvement. Each are all part of the ongoing optimization of digital labor through coaching and management, work that must be grounded in effective governance.
  • Sequencing: Sequencing: Successful organizations design digital labor for outcomes rather than implementing it as a tool, sequencing adoption around the data, workflows and business results that matter most.
  • Change Management: Helping teams see AI as a digital teammate has become central to change management, reshaping mindsets and expectations around how work gets done.
  • Cross-Functional Alignment: Digital workers succeed when processes, data, and decision flows are aligned across functions, making cross-functional coordination essential.

IDC's research validates what we've seen firsthand: organizations aren’t going to win by sprinkling AI onto workflows. They'll win by adopting a platform model that orchestrates people, processes, and digital workers into adaptive, efficient, revenue-generating systems.

When the report projects workload augmentation, roughly eight hours per week of capacity returned to each worker, it describes workforce recomposition instead of displacement. Mundane execution shifts to digital workers. Human capacity is freed for decision-making, customer engagement, and cross-functional innovation. 

But here's the gap: most companies expect productivity gains and cost efficiencies from AI, yet they lack the connective tissue to deploy digital labor at scale or measure its business impact. Instead of developing their operating environment, they're implementing point solutions and running into challenges that consistently hinder adoption. 

Asymbl's Approach: Our Three-Step Playbook

Asymbl's view is that success hinges on unifying digital workers, human workflows, data governance, and change management into a single, continuously learning system. The IDC's guidance: start with high-ROI areas, invest in data foundations, and support human-AI partnership, aligns directly with our platform philosophy: AI doesn't transform organizations; AI-enabled organizations transform themselves.

Rather than treating digital labor as another tool rollout, Asymbl helps companies design hybrid teams, define digital job descriptions, and operationalize digital workers as true teammates, ensuring organizations capture value, rather than chaos. Inside Asymbl, the conversation about digital labor is no longer hypothetical. It's operational. Every team has at least one digital counterpart, and we talk about human and digital workers as part of the same team because that's what they are. This approach recognizes that workforce orchestration, the intentional design and management of hybrid teams, is the critical behavior leaders need to adopt. It's not about implementing technology; it's about fundamentally rethinking how work gets done when digital workers can handle high-volume, repeatable tasks alongside their human teammates.

The operationalization follows a three-step playbook: define the roles and motivation, onboard into the flow of work, and coach and scale. By treating digital workers as new team members with clear job descriptions, proper onboarding into existing systems and processes, and ongoing coaching, Asymbl enables organizations to scale capacity and maximize human strengths. Digital workers are configured to work within platforms like Salesforce and woven into existing workflows rather than requiring extensive integration work. The result is measurable, sustainable impact: 3,789% ROI for our sales team, 1,529% for our HR team, and 92 digital workers operating across 10 business functions. 

As leaders ask important questions about spending and impact, Asymbl’s approach offers a proven model for preparing organizations for the magnitude of change ahead. Digital labor is rewriting how value is created. And the next move belongs to leaders bold enough to redesign their organizations around it.

FAQs

Leaders Are Asking About Digital Labor

How critical is digital labor to our competitiveness and business model over the next 2–5 years?

The recently published 2025 IDC report projects that there’s $13 trillion of global economic impact that will come from digital labor in the next five years. Businesses that want to capture that value, are already securing the coaching and guidance needed to prepare and support their teams.

What is the ROI, and how much should we invest in digital labor (AI/automation) versus human labor?

The ROI of digital labor depends on where you deploy it and how well it's orchestrated with your human workforce. Organizations that move beyond isolated AI tools, where digital workers execute end-to-end workflows, typically see the strongest returns. Learn more from our recent post, How to Measure Digital Labor ROI.

How do we balance the benefits of automation (efficiency, scale) with the increased risk of human error, insider threats, or misuse when digital workers interact with sensitive data or decision-making?

There may be a tendency for businesses to over-optimize and move fast instead of strategic workforce orchestration. This invites costly risk. Asymbl helps organizations mitigate these risk factors by co-designing hybrid teams, co-defining digital job descriptions, and co-operationalizing digital workers as true teammates, ensuring businesses capture value, instead of chaos. 

Our customer-zero approach means that businesses can leverage the ROI from the digital labor landscape we’ve already covered, and continue to discover.

What are the risks, operational, financial, ethical, of adopting digital labor too fast (or too broadly)?

While this is not an exhaustive list, the key risks of over-adopting digital labor in your business include: skill and knowledge decay, reduced resilience, cultural and creative decline, increased system fragility, and growing complacency.

What kind of tasks, functions or roles are best suited for digital labor, and which ones still demand human judgement, creativity or oversight?

The best tasks, functions, or roles that are best suited for digital labor are generally repetitive and redundant tasks that can be bundled/assembled into full workflows. However, this generalization doesn’t apply to every business across every industry. Context matters when it comes to workforce orchestration.

When your human workforce is prepared and enabled, they can excel at higher-order tasks leading to enhanced human capabilities or intelligence augmentation (IA). These main tasks for your human workforce include: cognition and creativity, socio-emotional tasks, and adaptability and dexterity.

How do we restructure our organization (teams, roles, processes) to integrate digital workers meaningfully without disruption, while protecting human jobs and morale?

Leaders must replace the ‘tool adoption’ mindset with a new one: full workforce redesign. The transition we’re in requires deliberate workforce orchestration: aligning people, processes, and digital labor through strategy, coaching, process optimization, hybrid-team development, and management restructuring. This support ensures productivity gains without disrupting roles, morale, or performance.

How do we secure and govern a hybrid human–AI workforce (digital agents + humans), especially around data access, identity, compliance, and attack surface expansion?
  • In practice, establishing clear AI governance in your organization looks like this: 
    • establish a formal framework that defines how they will design, deploy, and monitor AI systems
    • provide oversight for AI systems
    • create mechanisms that continuously monitor your digital workforce
    • put processes in place to evaluate AI use cases before investment or assess the AI ROI to proactively identify and address potential risks

Brad Owens

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