Nuvepro - Task Intelligence for the Enterprise
Benchmark

Nuvepro Task Intelligence Index

The NTI scores every industry from 1.0 to 5.0 based on task-level AI readiness. Not survey data. Not job-level predictions. A score derived from classifying 1.8 million tasks across 894 occupations and 81 industries.

Updated quarterly as AI capabilities evolve. Q2 2026 edition.

3.1

Average NTI

across all industries

1.8M

Tasks classified

automate / augment / human-only

722

Occupations scored

across 8 industries

Q2 2026

Last updated

quarterly cadence

NTI by Industry: Q2 2026

Ranked by AI readiness score. Higher = more tasks that AI can handle.

3.4

Technology

35% auto50% augment15% human

Highest NTI of any sector. AI-generated code and automated testing drive the automate score. Architecture and client-facing work remain firmly human.

Most automatable: Data entry, code documentation, test generation
Most human: System architecture, client strategy, team leadership
3.2

Financial Services

31% auto52% augment17% human

High augmentation rate. Most tasks involve structured data that AI can process, but regulatory judgment and client relationships anchor the human-only floor.

Most automatable: Transaction processing, report generation, compliance checks
Most human: Client advisory, risk judgment, regulatory interpretation
3.1

Retail & E-Commerce

28% auto49% augment23% human

E-commerce operations push automation higher. Physical retail tasks (store layout, customer interaction) hold the human score steady.

Most automatable: Inventory tracking, pricing updates, customer ticket triage
Most human: Merchandising strategy, vendor negotiation, in-store experience
3.1

Consulting

26% auto56% augment18% human

Highest augmentation rate across all industries. Nearly every consulting task benefits from AI assistance, but the value comes from human judgment applied to AI-generated analysis.

Most automatable: Research compilation, slide formatting, data extraction
Most human: Client facilitation, strategic framing, executive presentation
3.1

Insurance

27% auto53% augment20% human

Document-heavy workflows drive automation. Complex claims and underwriting judgment remain human-dependent.

Most automatable: Claims intake, document processing, fraud pattern detection
Most human: Complex claims adjudication, policyholder relationships, underwriting judgment
3.0

Healthcare

22% auto55% augment23% human

Highest occupation count. Administrative tasks are highly automatable, but clinical and physical care tasks create a hard floor on human-only work.

Most automatable: Appointment scheduling, medical coding, lab result routing
Most human: Patient diagnosis, surgical procedures, bedside care
2.9

Energy & Utilities

21% auto50% augment29% human

Physical infrastructure maintenance and safety-critical tasks limit automation. Remote monitoring and predictive maintenance are the highest-impact AI opportunities.

Most automatable: Meter reading, grid monitoring, consumption forecasting
Most human: Field repair, safety inspection, emergency response
2.7

Manufacturing

19% auto48% augment33% human

Lowest NTI among major industries. Physical tasks dominate. The opportunity is in augmentation: AI-assisted quality control, predictive maintenance, and demand planning.

Most automatable: Quality data logging, inventory tracking, production scheduling
Most human: Equipment repair, safety supervision, process engineering

How the NTI Is Calculated

A transparent, reproducible formula.

NTI Formula

NTI = (Automate% × 5.0 + Augment% × 3.0 + Human-Only% × 1.0) / 100

Automate weight

5.0

Tasks AI handles end-to-end

Augment weight

3.0

Tasks where human + AI collaborate

Human-only weight

1.0

Tasks requiring full human judgment

Worked example

Technology: (35% × 5) + (50% × 3) + (15% × 1) = 3.4

Data source

1.8 million classified tasks from 8 parallel sources: O*NET (18,484 government-classified tasks), 535K tasks from real job postings (Common Crawl, 2,400+ companies), 235K from structured workflow databases (APQC-aligned), canonical task databases, AI-generated decomposition, market research, web search, and audit history.

Why weighted scoring

The weights (5/3/1) reflect the degree of AI involvement in the work. A fully automated task represents maximum AI readiness. An augmented task represents partial AI involvement. A human-only task represents current AI limitations. The resulting score is a single number that captures the overall AI opportunity in an industry.

The NTI uses Tier 1 (Today's AI) classifications. Enterprise AI with company-specific data, policies, and system integration (Tier 3) produces scores 0.5 to 1.5 points higher. See the tier toggle on /explore to compare.

How to Use the NTI

Three audiences, three uses.

COO / CEO

Benchmark your industry. Compare your company's NTI against the industry average. If your company NTI is 0.5+ points below the industry average, your competitors are automating tasks you're still doing manually.

CFO

Quantify the opportunity. Each 0.1-point increase in NTI represents tasks shifting from human-only to AI-assisted. Combined with BLS wage data, this translates to dollar impact per role, per department.

Analysts & Investors

Track AI adoption by industry over time. The quarterly NTI cadence shows which industries are moving fastest. Compare Q1 to Q4 to see the rate of task-level AI penetration.

Frequently Asked Questions

The NTI is a scored benchmark that measures AI readiness at the industry level, on a scale from 1.0 to 5.0. A score of 1.0 means the industry's tasks are almost entirely human-only. A score of 5.0 would mean almost entirely automatable. The NTI is derived from task-level classification data: what percentage of tasks in an industry can be automated, what percentage should be augmented with human-AI collaboration, and what percentage must stay human-only.
The NTI uses a weighted formula: (automate percentage × 5) + (augment percentage × 3) + (human-only percentage × 1), divided by 100. This produces a score where industries with more automatable tasks score higher and industries with more human-only tasks score lower. The weights reflect the degree of AI involvement: fully automated tasks get the highest weight, fully human tasks get the lowest.
The NTI is derived from Nuvepro's Task Intelligence Database: 1.8 million classified tasks across 894 occupations in 81 industries. Each task has been classified as automate, augment, or human-only using AI capability assessments and domain expertise. The underlying data comes from 8 parallel sources including O*NET (18,484 government-classified tasks), 535K tasks from real job postings, 235K from structured workflow databases, and canonical task databases.
The NTI is updated quarterly. AI capabilities evolve rapidly. A task classified as 'human-only' in Q1 may shift to 'augment' by Q3 as new AI models are released. The quarterly cadence ensures the index reflects current AI capabilities, not last year's.
Technology leads with NTI 3.4 because software development tasks have the highest proportion of work that AI can either handle end-to-end (code generation, test writing, documentation) or significantly augment (code review, debugging, architecture). The 15% human-only floor comes from system architecture decisions, client strategy, and team leadership, which require judgment that current AI cannot replicate.
Manufacturing scores NTI 2.7 because 33% of its tasks are human-only, the highest of any major industry. These are physical tasks: equipment repair, safety supervision, process engineering, and quality inspection that require hands-on presence. The opportunity in manufacturing is augmentation (48%), particularly AI-assisted quality control, predictive maintenance, and demand planning.
Yes. While the published NTI uses industry-level averages, Nuvepro can calculate a company-specific or department-specific NTI through its task classification audit. The audit decomposes every role in a department into tasks, classifies each task, and produces a custom NTI score. Companies typically find their NTI differs from the industry average by 0.3 to 0.8 points depending on their specific role mix.
The published NTI uses Tier 1 (Today's AI) classifications, which assume generic LLM capabilities without company-specific context. On /explore, toggling to Tier 3 (Your AI Enterprise) shows what the scores look like with enterprise AI agents that have full company data, policies, and system integration. Tier 3 NTI scores are 0.5 to 1.5 points higher across all industries because the primary blocker for many tasks (AI lacks company context) is removed.

Get your company's NTI

The industry NTI is the average. Your company's NTI depends on your specific role mix. Run a task classification audit on any role to start building your company-specific score.