OVI is the AI-native ATS where you chat to hire. Two AI agents — Sora for sourcing and Milo for screening — find candidates, score every CV, and run AI interviews, all controlled from a single chat.

What does "chat to hire" mean?

Chat to hire is OVI's AI-native hiring workflow: instead of clicking through a traditional ATS, you describe what you need in chat and OVI's AI agents source candidates, screen applicants, run AI interviews, and send outreach for you.

What is an AI-native ATS?

An AI-native ATS is an applicant tracking system built around AI agents rather than forms and pipelines. OVI's AI chat ATS lets recruiters source, screen, interview, and follow up through conversation — the agents do the work and surface only the candidates worth meeting.

Who are Sora and Milo?

Sora is OVI's AI sourcing agent — she scans LinkedIn, the open web, and your ATS history to find best-fit candidates and reach out in your name. Milo is OVI's AI screening agent — he scores every applicant against your rubric and surfaces a ranked shortlist.

How do OVI's AI interviews work?

OVI runs async AI interviews for every shortlisted candidate and returns scores, transcripts, and recordings — so your team only meets the people worth meeting.

Anthropic's Data Reveals AI Augments More Than It Automates — HR Leaders Are Solving the Wrong Problem

2026-06-30

Most HR leaders are preparing for mass automation. Anthropic's own usage data tells a different story.

The Anthropic Economic Index — a first-of-its-kind analysis of real Claude AI interactions — found that 52% of conversations augment humans working alongside AI, while 45% involve full automation. That split should reframe the entire conversation about AI workforce strategy.

What the Anthropic Economic Index Is

The Anthropic Economic Index is not a forecast or a survey. It's a classification of actual usage data — what people are really doing with AI, based on the analysis of one million Claude.ai conversations and one million API interactions.

Augmentation vs Automation: Why the Distinction Matters for HR

The distinction between augmentation and automation isn't semantic — it determines how AI reshapes roles.

Augmentation means AI handles part of a task alongside a human. Automation means AI handles the task entirely without human involvement.

On college-level tasks, AI augmentation produces a 12x average speedup compared to a human working alone. That's a structural shift in how fast augmented workers can operate.

Who Gets the Gains — and Who Doesn't

The average hourly wage of Claude.ai users is $47.90, compared to $37.30 for the overall workforce. Users with six or more months of tenure achieve approximately 10% higher success rates than newcomers.

For HR leaders, this is the skills gap to close. AI literacy isn't binary — there's a measurable learning curve, and organisations that invest in early enablement will see compounding returns.

Adoption Is Broader Than Most HR Leaders Realise

49% of all jobs have had at least a quarter of their tasks performed using Claude — up from 36% in January. The top 10 task types dropped from 24% to 19% of all traffic in just three months. AI usage is diversifying fast.

The Employment Stability Signal

Anthropic's labor market analysis found no systematic increase in unemployment among highly exposed workers since late 2022. Occupations where AI usage is primarily augmentative show greater employment stability. How you deploy AI is a workforce planning decision, not just a technology one.

What HR Should Do Differently

Stop framing AI strategy as automate-or-eliminate. Map tasks by augmentation vs automation potential. Prioritise augmentation workflows first.
Invest in AI upskilling that targets the experience gap. A 10% performance difference based on six months of use means the ROI on early enablement is large.
Track AI adoption depth in your own organisation. With 49% of jobs in scope, HR leaders who haven't measured their adoption rate are flying blind.

What is the Anthropic Economic Index?

The Anthropic Economic Index is a research initiative by Anthropic that analyses actual Claude AI usage data to understand how AI is being used across occupations and tasks, providing an evidence-based view of AI's workforce impact.

What does "augmentation" vs "automation" mean in practice?

Augmentation occurs when AI handles part of a task while a human directs, reviews, and integrates the output. Automation occurs when AI completes a task entirely without human involvement. The January 2026 report found 52% of interactions were augmentative and 45% were automative.

What should HR leaders do with this data?

Three priorities: audit your AI adoption depth, invest in structured AI upskilling, and shift workforce planning from 'which roles will AI eliminate' to 'which tasks should be augmented vs automated'.