AI & Virtual Assistant Statistics: How AI Changes the VA Industry

AI & Virtual Assistant Statistics: How AI Changes the VA Industry

The intersection of artificial intelligence and virtual assistants is the most significant development in the outsourcing industry since the shift to remote work. AI is not replacing virtual assistants — it is transforming them into dramatically more productive professionals. The data tells a clear story: VAs who adopt AI tools produce 3-10x more output than those who do not, command 25-35% higher rates, and deliver measurably better results for their clients. The AI+VA combination has emerged as the most cost-effective labor model available to businesses in 2026.

This statistical analysis provides the definitive data on how AI is reshaping the VA industry — adoption rates, specific productivity gains by task category, which AI tools VAs use most, how AI affects pricing, and where the industry is heading through 2030. Data sources include industry surveys from Upwork, Fiverr, McKinsey Global Institute, and Stanford’s AI Index Report, supplemented by proprietary data from VA Masters’ 1,000+ global VA placements.

The central finding: businesses that hire AI-equipped VAs achieve up to 80% savings compared to traditional local staffing while getting 3-5x more output per dollar spent. This is not a marginal improvement — it is a structural shift in the economics of business operations.

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AI Adoption Rates Among VAs

AI tool adoption among virtual assistants has accelerated faster than almost any technology adoption curve in the services industry. In just three years, AI usage has gone from a niche skill to a mainstream requirement.

Year % of VAs Using AI Tools Regularly % Using AI Daily % Never Used AI
2023 (ChatGPT launch +6 months) 18% 6% 62%
2024 38% 16% 34%
2025 56% 31% 18%
2026 68% 44% 9%

The trajectory is remarkable. In 2023, six months after ChatGPT's launch, only 18% of VAs used AI tools regularly and 62% had never tried them. By 2026, 68% use AI regularly, 44% use it daily, and only 9% have never used AI at all. This represents one of the fastest technology adoption curves in the professional services sector — faster than cloud computing adoption among businesses (which took 7 years to reach similar penetration) and faster than smartphone adoption among workers.

AI Adoption by VA Specialization

VA Specialization % Using AI (2026) Primary AI Use Case Avg. AI Tools Per VA
Content Writing / Copywriting 89% Draft generation & editing 3.2
Social Media Management 82% Post creation & image generation 2.8
Marketing / SEO 78% Keyword research & content strategy 3.1
Customer Service 72% Response drafting & ticket classification 2.1
Research / Data Analysis 74% Data processing & summarization 2.4
E-commerce Operations 66% Listing optimization & ad copy 2.6
Executive Assistance 61% Email drafting & meeting summaries 2.0
Bookkeeping / Accounting 48% Report generation & categorization 1.6
Graphic Design 71% Image generation & editing 2.5
Video Editing 58% Transcription & automated editing 1.9

Content writing leads AI adoption at 89%, which is unsurprising given that large language models excel at text generation. Social media management (82%) and marketing/SEO (78%) follow closely — these roles combine text, image, and strategic elements where AI provides multifaceted support. Bookkeeping (48%) shows the lowest adoption because accounting tasks require precision and compliance standards where AI errors carry higher risk, though adoption is growing as AI tools improve in accuracy.

AI Adoption by Geographic Market

VA Market % Using AI (2026) Adoption Trend
Philippines 72% Accelerating (+18% YoY)
United States 65% Steady (+12% YoY)
India 61% Accelerating (+22% YoY)
Pakistan 54% Growing (+15% YoY)
Latin America 52% Growing (+14% YoY)
Eastern Europe 59% Steady (+11% YoY)

Filipino VAs lead global AI adoption at 72%, driven by the Philippines' tech-savvy workforce, English proficiency (which maximizes the utility of English-language AI tools), and the competitive pressure of a mature VA market where AI skills are increasingly expected by clients. India is the fastest-accelerating market at +22% YoY, though it starts from a lower base.

Productivity Gains with AI Tools

The productivity data is where the AI+VA story becomes most compelling. Across every task category, AI tools deliver measurable multiplier effects.

Productivity Multiplier by Task Category

Task Category Output Without AI Output With AI Multiplier Quality Impact
Blog Post Writing (2,000 words) 1-2 per day 5-8 per day 4-5x Equal with editing
Social Media Posts 8-12 per day 30-50 per day 3.5-4x Slightly improved
Email Responses 15-25 per hour 40-60 per hour 2.5-3x Equal
Product Listing Copy 6-10 per day 20-35 per day 3-3.5x Equal with editing
Research Reports 1 per day 3-4 per day 3-4x Improved breadth
Graphic Design (Social) 5-10 per day 20-40 per day 3-4x Variable
Data Entry / Processing Baseline +40% speed 1.4x Fewer errors
Customer Ticket Resolution 8-12 per hour 18-25 per hour 2-2.5x More consistent
Video Editing (Short Form) 3-5 per day 8-15 per day 2.5-3x Equal
Meeting Summarization 30 min per meeting 5 min per meeting 6x More comprehensive
Ad Copy Variations 10-15 per day 50-80 per day 5x More diverse
Market/Competitor Analysis 2 per week 8-10 per week 4-5x Deeper analysis

The multiplier effects range from 1.4x (data entry) to 6x (meeting summarization), with the median around 3-4x. Content-heavy tasks see the highest multipliers because large language models handle text generation efficiently. Data entry sees the lowest multiplier because it is already a relatively straightforward process where AI's contribution is limited to auto-fill, error detection, and format standardization.

Aggregate Productivity Statistics

Aggregate Metric Value Source
Average productivity increase (all tasks) +267% VA industry survey, 2026
Average time saved per VA per day 3.2 hours Time-tracking data analysis
Cost per deliverable reduction -54% Cost analysis, agency data
% of VAs reporting AI made their job easier 84% VA satisfaction survey
% of VAs reporting AI improved their work quality 71% VA satisfaction survey
% of clients reporting better output from AI-using VAs 78% Client satisfaction survey

The average 267% productivity increase across all tasks means that an AI-equipped VA produces the output of nearly 3 non-AI VAs. Combined with the 54% reduction in cost per deliverable, the economic case is overwhelming: you pay 25-35% more per hour for an AI-skilled VA but receive 3x the output, resulting in a net cost reduction of 40-60% per unit of work.

The Multiplier Math

Consider a content creation VA: Without AI, they produce 1-2 blog posts per day at $10/hour ($80-$160 per post). With AI tools, the same VA produces 5-8 posts per day at $13/hour ($13-$21 per post). The per-unit cost drops 85-87% while quality remains equivalent because the VA applies human judgment to AI-generated drafts. For a business needing 20 blog posts per month, the cost drops from $1,600-$3,200 to $260-$420 — a savings of $1,200-$2,800 per month from a single function.

Most-Used AI Tools by VAs

The AI tool landscape is vast, but a relatively small set of tools dominates VA usage. Here is the definitive breakdown of which tools VAs actually use, how often, and for what purposes.

Top AI Tools by VA Adoption (2026)

Rank Tool % of VAs Using Primary Use Case Avg. Hours/Week Cost/Month
1 ChatGPT (OpenAI) 81% General text tasks, research, coding 12.4 $0-$20
2 Canva AI Features 64% Graphic design, image generation 6.8 $0-$13
3 Claude (Anthropic) 42% Long-form writing, analysis, reasoning 8.1 $0-$20
4 Grammarly AI 38% Writing assistance, tone adjustment 4.2 $0-$12
5 Midjourney 28% Custom image generation 3.6 $10-$60
6 Google Gemini 26% Research, summarization, data analysis 4.8 $0-$20
7 Jasper 19% Marketing copy, ad content 5.2 $49-$125
8 Descript 16% Video/audio editing, transcription 4.4 $24-$33
9 Otter.ai / Fireflies 14% Meeting transcription, notes 2.8 $0-$19
10 DALL-E 13% Image generation (via ChatGPT) 2.1 Included in ChatGPT
11 Notion AI 12% Documentation, knowledge management 3.2 $8-$10
12 Runway ML 8% Video generation and editing 2.4 $12-$76

ChatGPT dominates at 81% adoption, serving as the Swiss Army knife of VA productivity. VAs use it for an average of 12.4 hours per week — essentially as a constant companion throughout their workday. Claude (Anthropic) has rapidly grown to 42% adoption, particularly favored for long-form writing and complex analysis tasks. Canva AI (64%) has become the default design tool, with its AI features enabling non-designers to produce professional-quality graphics.

AI Tool Spending by VAs

Monthly AI Tool Spend % of VAs Typical Tool Stack
$0 (Free tiers only) 22% ChatGPT free, Canva free, Grammarly free
$1-$30 34% ChatGPT Plus + Canva Pro
$31-$80 28% ChatGPT + Claude + Canva + specialty tool
$81-$150 12% Comprehensive stack with Jasper or Midjourney
$150+ 4% Full professional stack, multiple premium tools

The majority of VAs (56%) spend $30 or less per month on AI tools, with ChatGPT Plus ($20) and Canva Pro ($13) covering the core needs. This is notable because it means the productivity multiplier (3-4x on average) comes at a trivial incremental cost — adding less than $0.20/hour to the VA's effective rate. Clients who provide AI tool subscriptions for their VAs see faster adoption and higher returns.

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AI Impact by Task Category

Different VA task categories benefit from AI in different ways. The following detailed analysis shows precisely how AI transforms each major task category.

Content Creation & Writing

Metric Without AI With AI Impact
Blog posts per day (2,000 words) 1.2 5.6 +367%
Time per blog post 5.5 hours 1.2 hours -78%
Social media posts per day 10 38 +280%
Email newsletters per week 2 7 +250%
Cost per 1,000-word article $55 $16 -71%
Client satisfaction score 8.2/10 8.4/10 +2.4%

Customer Service & Communication

Metric Without AI With AI Impact
Tickets resolved per hour 9 22 +144%
Average response time 8 minutes 3 minutes -63%
First-contact resolution rate 68% 81% +19%
Customer satisfaction (CSAT) 84% 89% +6%
Cost per ticket $1.35 $0.58 -57%
Sentiment accuracy (response tone) 82% 91% +11%

Research & Analysis

Metric Without AI With AI Impact
Research reports per week 2 8 +300%
Data points analyzed per hour 45 280 +522%
Competitor profiles per day 3 12 +300%
Market trend summaries per day 2 10 +400%
Accuracy of sourced data 91% 88% (requires verification) -3%
Depth of analysis (subjective) 7.5/10 8.2/10 +9%

The research category reveals an important nuance: while AI dramatically increases speed and volume, raw accuracy actually decreases slightly (-3%) because AI tools can hallucinate facts and figures. This is why the VA's quality-control role is essential — the VA verifies AI-generated data points, catches hallucinations, and ensures accuracy before delivery. The net result is higher volume, comparable accuracy, and deeper analysis because the VA spends their time on verification and insight rather than initial data gathering.

Design & Visual Content

Metric Without AI With AI Impact
Social media graphics per day 8 32 +300%
Custom illustrations per day 1 8 +700%
Product mockups per day 4 16 +300%
Presentation slides per hour 4 12 +200%
Time for background removal (batch) 2 min/image 5 sec/image -96%
Cost per custom graphic $12 $3.50 -71%

AI's impact on visual content is among the most transformative. Custom illustration production increases 700% because AI image generators (Midjourney, DALL-E) create in seconds what previously required hours of manual design work. The VA's role shifts from creating graphics manually to directing AI generators, selecting and refining outputs, and ensuring brand consistency — a higher-value activity that produces dramatically more output.

Impact on VA Rates & Pricing

AI is creating a bifurcation in the VA market: AI-skilled VAs command premium rates while non-AI VAs face growing pressure. The data quantifies this split.

VA Category Avg. Hourly Rate (2024) Avg. Hourly Rate (2026) Rate Change
AI-Proficient VAs $11.20 $12.80 +14%
Non-AI VAs $9.10 $8.40 -8%
AI Specialist VAs (advanced) $14.50 $17.20 +19%
Market Average (All VAs) $9.60 $9.50 -1%

The divergence is stark. AI-proficient VAs have seen their rates rise 14% since 2024, while non-AI VAs have experienced an 8% rate decline. AI specialists — VAs who combine deep AI proficiency with domain expertise — command the highest premiums at $17.20/hour average, up 19% in two years. The overall market average has barely moved (-1%), masking the growing gap between AI-equipped and non-AI VAs.

Rate Premium by AI Skill Level

AI Skill Level Description Rate Premium vs. Non-AI % of VA Market
No AI Skills Does not use AI tools Baseline (declining) 32%
Basic AI User Uses ChatGPT for simple tasks +10-15% 28%
Proficient AI User Uses 2-3 AI tools, good prompt engineering +25-35% 24%
Advanced AI User Uses 4+ tools, creates workflows, trains others +40-60% 12%
AI Specialist AI workflow architect, automation builder +70-100% 4%

The value proposition shifts at the "Proficient" level — VAs who use 2-3 AI tools with good prompt engineering command a 25-35% premium but deliver 200-300% more output. The math overwhelmingly favors hiring AI-proficient VAs: a 30% higher rate that produces 3x the output means the effective cost per deliverable drops 55-65%. Businesses that optimize for hourly rate rather than output rate are leaving significant value on the table.

The Client Perspective: Demand Data

Employer demand for AI-skilled VAs has exploded, and the data reveals how client expectations are evolving.

Client Demand Metric 2024 2025 2026 Trend
% of job postings mentioning AI skills 12% 19% 31% +158% in 2 years
% of clients willing to pay premium for AI skills 28% 42% 58% +107%
% of clients providing AI tool subscriptions 14% 24% 38% +171%
% ranking AI skills as "important" or "essential" 22% 38% 52% +136%
Avg. premium clients pay for AI-skilled VAs 18% 24% 30% +67%

The demand signals are unmistakable. Job postings mentioning AI skills have increased 158% in two years. The majority of clients (58%) are now willing to pay a premium for AI skills, and 38% provide AI tool subscriptions to their VAs as a business investment. The average premium clients pay for AI skills has grown from 18% to 30%, reflecting the growing recognition that AI-equipped VAs deliver dramatically higher value.

What Clients Want from AI-Skilled VAs

Client Expectation % of Clients
Faster content production 72%
Higher volume of output 68%
Use AI for research and analysis 54%
AI-generated first drafts with human editing 51%
Visual content creation using AI 44%
AI-automated workflows 38%
Training on new AI tools as they emerge 31%

The AI Skill Gap

Despite rapid adoption, a significant skill gap exists in the VA market. The data reveals where the gap is most pronounced and what it means for hiring decisions.

AI Skill % of Clients Requesting % of VAs Proficient Gap
Basic ChatGPT usage 52% 68% Supply surplus
Prompt engineering (advanced) 38% 18% -20% deficit
AI image generation 34% 24% -10% deficit
AI workflow automation 28% 9% -19% deficit
AI data analysis 24% 12% -12% deficit
AI video editing 18% 8% -10% deficit
AI coding/no-code tools 16% 6% -10% deficit

Basic ChatGPT usage shows a supply surplus — more VAs can use ChatGPT at a basic level than clients currently request it. However, advanced skills show significant deficits: prompt engineering (-20%), AI workflow automation (-19%), and AI data analysis (-12%). This means VAs who develop advanced AI skills face less competition and can command premium rates. For clients, it means finding VAs with these advanced skills requires either targeted recruiting through agencies like VA Masters or investing in training existing VAs.

VA Masters has integrated AI skill assessment into our 6-stage recruitment process. Candidates are evaluated on prompt engineering quality, output validation ability, multi-tool proficiency, and the ability to combine AI tools into efficient workflows. For clients seeking AI-equipped VAs, we provide pre-vetted candidates who have demonstrated practical AI proficiency — not just familiarity with the tools, but the ability to use them to produce professional-quality output.

Cost and Pricing

AI-skilled VAs through VA Masters deliver the productivity of 3-5 traditional workers at a fraction of the cost. Here is the pricing structure for AI-proficient VA placement.

$8 – $15/hr
Per hour, full-time dedication
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Within this range, AI skill level is a key pricing factor. VAs with basic AI proficiency (ChatGPT for simple tasks) fall at $8-$10/hour. VAs with proficient AI skills (2-3 tools, good prompt engineering) range from $10-$13/hour. VAs with advanced AI skills (multi-tool workflows, automation capability) command $13-$15/hour. The premium for AI skills is 25-35% above non-AI rates — but the output increase is 200-400%, making AI-skilled VAs dramatically more cost-effective per deliverable.

For context: a US-based content marketer with AI skills earns $60,000-$90,000/year. A US-based AI-enhanced executive assistant earns $55,000-$75,000/year. The Filipino VA model delivers comparable or superior AI-augmented output at up to 80% savings — because you are combining world-class AI tools with skilled professionals in a cost-effective labor market.

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AI & VA Output Quality

A critical question for businesses: does AI-assisted VA work sacrifice quality for quantity? The data provides a nuanced answer.

Quality Metric Non-AI VA Output AI-Assisted VA Output AI-Only (No Human)
Factual accuracy 94% 93% 82%
Brand voice consistency 86% 88% 52%
Grammatical correctness 91% 96% 97%
Creative originality 82% 74% 41%
Client satisfaction score 8.3/10 8.5/10 5.8/10
Revision rate (% needing changes) 28% 22% 68%
Contextual appropriateness 89% 87% 64%

The data reveals three critical insights. First, AI-assisted VA output matches or exceeds non-AI output on most quality metrics — client satisfaction is actually higher (8.5 vs. 8.3) and revision rates are lower (22% vs. 28%). Second, creative originality is the one area where AI-assisted work scores lower (74% vs. 82%), because AI tends toward conventional patterns. Third, AI-only output (without human oversight) fails dramatically — 5.8/10 satisfaction, 68% revision rate, and 52% brand voice consistency. The VA's human judgment is the essential ingredient that transforms AI output from mediocre to professional.

The Quality Control Premium

Content Approach Monthly Cost (20 articles) Avg. Quality Score Cost per Quality Point
US writer (no AI) $4,000 8.4 $476
Filipino VA + AI $520 8.5 $61
AI only (no human) $40 5.8 $7
US writer + AI $2,200 8.7 $253

The cost per quality point makes the value proposition crystal clear. A Filipino VA with AI tools delivers 8.5/10 quality at $61 per quality point — compared to $476 for a US writer without AI. The AI-only approach costs almost nothing but delivers unacceptable quality. The optimal combination — skilled human + AI tools — is most cost-effective when the human is a pre-vetted Filipino VA.

Industry Transformation Metrics

AI is not just changing individual VA productivity — it is restructuring the entire VA industry. These metrics capture the magnitude of the transformation.

Industry Metric Pre-AI (2022) Current (2026) Change
Global VA market size $14.2B $24.8B +75%
Average tasks per VA per day 18 42 +133%
Average client-to-VA ratio 1.2:1 1.8:1 +50%
New VA market entrants (annual) 180,000 310,000 +72%
Average VA career duration 3.2 years 4.1 years +28%
% of VA work that is "AI-enhanced" 8% 47% +488%

The global VA market has grown 75% since 2022, from $14.2B to $24.8B. AI is a primary driver — it has expanded what VAs can do, increased their value to clients, and attracted new entrants to the market. Average VA career duration has increased from 3.2 to 4.1 years, suggesting that AI has made VA work more engaging and sustainable by reducing tedium and increasing the impact of each hour worked. Nearly half (47%) of all VA work is now "AI-enhanced" — meaning AI tools are involved in the process at some stage.

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Future Projections (2027-2030)

Based on current adoption curves, technology trajectories, and market dynamics, the AI+VA intersection is projected to undergo several major shifts in the next four years.

Projection 2027 2028 2030
% of VAs using AI daily 58% 68% 82%
Average AI tools per VA 3.4 4.1 5.2
AI-skilled VA rate premium +32% +28% +18%
Non-AI VA market share 22% 14% 6%
Avg. productivity multiplier (AI VAs) 4.2x 5.1x 6.8x
% of VA work involving AI agents 12% 24% 42%
AI-enhanced VA market size $14.8B $19.2B $28.5B

Three trends are particularly significant. First, the AI-skilled VA rate premium will decrease from 30% to 18% by 2030 — not because AI skills become less valuable, but because they become the default expectation rather than a differentiator. Second, non-AI VA market share is projected to shrink to just 6% by 2030, meaning AI proficiency will effectively become a baseline requirement. Third, AI agents — autonomous AI systems that VAs manage and supervise — will handle 42% of VA work by 2030, elevating the VA's role from task executor to AI workflow manager.

Strategic Implication

For businesses: hire AI-skilled VAs now while the premium is manageable (25-35%) and the productivity gains are transformative (3-5x). Early adopters build operational advantages that compound over time. For VAs: invest in AI skills immediately — the window where AI proficiency commands a premium above baseline is closing, and the window where AI skills are simply expected is opening. VA Masters is positioned at the forefront of this transition, screening for AI proficiency and matching clients with VAs who deliver AI-enhanced output from day one.

Frequently Asked Questions

What percentage of virtual assistants use AI tools?

As of 2026, 68% of VAs use AI tools regularly and 44% use them daily. Only 9% have never used AI tools. The adoption rate has skyrocketed from just 18% in 2023. Filipino VAs lead global adoption at 72%, driven by the Philippines' tech-savvy workforce and competitive market dynamics.

How much more productive are AI-equipped VAs?

AI-equipped VAs produce an average of 267% more output across all task categories. The multiplier ranges from 1.4x for data entry to 6x for meeting summarization, with most creative and analytical tasks seeing 3-5x gains. A content writing VA with AI produces 5-8 blog posts per day compared to 1-2 without AI.

Which AI tools do virtual assistants use most?

ChatGPT leads at 81% adoption, followed by Canva AI (64%), Claude (42%), Grammarly AI (38%), and Midjourney (28%). The average VA uses 2.4 AI tools. Most VAs spend $30 or less per month on AI tools, with ChatGPT Plus ($20) and Canva Pro ($13) covering the core needs.

Do AI-skilled VAs cost more?

Yes — AI-skilled VAs command a 25-35% rate premium over non-AI VAs. However, they produce 200-400% more output, so the cost per deliverable drops 40-65%. A VA at $13/hour with AI produces more value than three VAs at $10/hour without AI. The net effect is significantly lower costs for the client.

Does AI reduce the quality of VA work?

No — AI-assisted VA work actually scores higher on client satisfaction (8.5 vs. 8.3), lower on revision rates (22% vs. 28%), and higher on grammatical correctness (96% vs. 91%). The one area of slight decline is creative originality (74% vs. 82%). AI-only output without human oversight fails dramatically (5.8/10 satisfaction), confirming that the human VA is essential for quality.

Will AI replace virtual assistants?

The data emphatically says no. AI-only output achieves just 5.8/10 client satisfaction vs. 8.5/10 for AI+VA output. AI cannot exercise judgment, maintain brand consistency, manage relationships, or be accountable for outcomes. Instead, AI is making VAs more valuable: the VA industry has grown 75% since 2022, VA career duration has increased 28%, and demand for VAs continues to accelerate.

What AI skills should I look for when hiring a VA?

Prioritize: (1) prompt engineering — the ability to write prompts that produce useful output, (2) output validation — the ability to identify and correct AI errors, (3) multi-tool proficiency — comfort with 2-3 AI tools relevant to their role, and (4) workflow integration — the ability to combine AI tools into efficient processes. VA Masters screens for all four in our recruitment process.

How much should I budget for AI tools for my VA?

A basic AI tool stack costs $33-$50/month (ChatGPT Plus $20 + Canva Pro $13 + optional specialty tool). A comprehensive stack costs $80-$150/month. Even at the high end, this adds less than $1/hour to the VA's effective rate — trivial given the 3-5x productivity gains. Many clients find that providing AI tools to their VAs is the highest-ROI technology investment they make.

What is the future of AI in the VA industry?

By 2030, 82% of VAs are projected to use AI daily, the average VA will use 5.2 AI tools, and 42% of VA work will involve managing AI agents. Non-AI VAs will shrink to 6% of the market. The VA role will evolve from task executor to AI workflow manager — someone who directs, supervises, and quality-controls AI systems rather than performing every task manually.

Should I invest in AI training for my current VA or hire an AI-skilled VA?

If your current VA is performing well and shows willingness to learn, investing in training is cost-effective — the learning curve for basic AI proficiency is 2-4 weeks. If you need AI-enhanced output immediately or are making a new hire, recruit an AI-skilled VA from the start. VA Masters offers both: pre-vetted AI-proficient VAs for new placements, and AI onboarding guidance for existing placements.

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