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Impacting Technologies by Occupation - How to Interpret

Impacting Technologies by Occupation API helps you understand which specific technologies are driving automation and augmentation within a selected occupation.

Unlike year-based APIs that show change over time, this API focuses on one occupation, in one year, breaking down technology impact by technology type.

This article explains how to read the output, what each part means, and how this data supports workforce planning and technology investment decisions.

What This API Returns

This API provides:

  • A ranked list of technologies affecting the occupation

  • The automation and augmentation contribution of each technology

  • The total impact each technology has

  • Optional units in % Time Savings or Hours Saved

  • Combined totals for automation, augmentation, and total tech impact

The core of this API is the horizontal bar chart visualisation.

Key Definitions 

  • Automation Impact - The % of work tasks that could be replaced by technology.
    Automation allows employees to redirect time to other responsibilities.
  • Augmentation Impact - The % of work tasks that could be supplemented by technology.
    Augmentation speeds up task completion or improves task quality.
  • Total Tech Impact - The combined effect of automation and augmentation — representing the overall potential impact of technology on time spent on tasks.

How to read the chart

Screenshot 2025-11-22 at 2.15.18 am

Each technology row contains:

  • A pink bar (Automation impact)

  • A purple bar (Augmentation impact)

  • The total length of the bar represents the total tech impact

  • Hovering reveals exact % or hours (e.g., LLM Chatbot: 3.6% automation, 2.2% augmentation, 5.8% total)

This visual format allows for quick prioritisation — the longer the bar, the more the technology affects the occupation.

What Each Component Means — and Why It Matters for Your Business

Automation Bar (Pink)

Automation indicates potential task replacement.

What this means for the business:

  • Signals where labour demand may decrease

  • Highlights tasks that may be phased out

  • Helps identify roles at risk of significant redesign

  • Supports decisions on reskilling, redeployment, or hiring freezes

  • Allows modelling of cost savings from removed manual effort

Example:
In the screenshot, Robotic Process Automation (RPA) shows one of the highest automation bars.
This suggests that repetitive, rules-based accounting tasks may be heavily automated, reducing manual processing time.

 Augmentation Bar (Purple)

Augmentation shows where technology enhances worker output.

What this means for the business:

  • Shows where productivity may increase without reducing headcount

  • Identifies tools that allow employees to work faster or with better accuracy

  • Indicates where upskilling has the highest ROI

  • Helps anticipate which technologies will become “expected skills” in the role

Example:
Technologies like Predictive Analytics or LLM Chatbots show strong purple bars.
This implies accountants gain efficiency through AI-supported analysis or conversational automation — leading to higher throughput and better decision-making.

Total Tech Impact (Bar Length)

The total length of the bar shows how impactful each technology is overall.

What this means for the business:

  • A prioritisation signal for technology investment

  • Helps identify which technologies matter most for productivity shift

  • Informs which tools to roll out first

  • Highlights where training resources should focus

  • Supports long-term role redesign and org-wide transformation planning

Example:
The chart shows RPA, Predictive Analytics, and Fixed Robots ranking highest.
This means these technologies will be the main drivers of productivity change for accountants in 2030.

Technology Ordering (Top to Bottom)

The chart orders technologies by total impact.

What this means for the business:

  • The top items represent your priority technologies

  • These are the tools most likely to:

    • change workflows

    • restructure job responsibilities

    • deliver the highest ROI

    • affect performance targets

  • Lower-impact technologies matter less, or may only impact specialised teams

Units of Analysis: % Time vs Hours Saved

Why this matters:

  • % Time Savings
    Best for understanding proportionate impact and comparing technologies.
  • Hours Saved
    Best for business cases, ROI calculations, and FTE modelling.

Example interpretation:
5.6 hours saved per week (shown in the total automation/augmentation boxes) means:

  • ~291 hours saved per employee per year

  • This can be converted into labour cost savings or increased billable capacity

  • Scaling across teams amplifies the business impact dramatically

Turning These Insights Into Decisions

Here’s how organisations typically use this API:

  • Tech Investment Prioritisation
    Focus budget and rollout plans on the highest-impact technologies (top bar segments).
  • Workflow Re-Engineering
    Redesign work processes around technologies bringing the largest automation or augmentation gains.
  • Role Evolution & Job Architecture
    Identify future skills needed and shift job descriptions accordingly.
  • L&D and Upskilling Initiatives
    High augmentation technologies signal where training will deliver the highest productivity lift.
  • Vendor Selection & Procurement Strategy
    Technologies with high future impact should influence software procurement priorities.
  • Change-Management Readiness
    Large automation bars indicate potential workforce disruption that requires planning and communication.