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The AI Implementation Gap

Invested in AI Tools.
Missing the ROI?

Companies are spending billions on AI licenses. But without the right people to implement, integrate, and scale — most of that investment sits unused.

87%

of AI projects never make it to production

— Gartner

1 in 10

companies actually see ROI from their AI investments

— MIT Sloan

$4.6T

projected AI market by 2030 — talent is the bottleneck

— McKinsey

Root Cause Analysis

Why AI Projects Fail

It's not the technology. It's the talent gap.

Wrong Talent

Traditional developers aren't trained on LLMs, RAG architectures, or prompt engineering. Hiring generalists for AI-specific work leads to failed implementations.

No LLM experience Wrong skill set Steep learning curve

No AI Strategy

AI tools without AI Product Managers or AI Ops people to drive adoption. No one owns the AI roadmap, measures ROI, or connects AI capabilities to business goals.

No AI ownership Missing roadmap Unclear ROI

Siloed Implementation

AI lives in a lab instead of being embedded across the organization. Without AI-native designers, content strategists, and ops people, AI stays a proof-of-concept forever.

Lab-only AI No cross-functional adoption Stuck in pilot
The Solution

The Difference Between AI Hype and AI ROI
Is People

WorkGenius gives you access to pre-vetted AI talent across engineering, product, design, data, content, and operations — the complete team you need to make AI work.

Explore AI roles
AI Talent by Function

AI-Ready Talent Across Every Department

AI isn't just an engineering problem. Build complete AI teams spanning every function.

Browse All AI Roles

Find the Right AI Specialist

Every role links to a dedicated page with skills, use cases, and how to hire.

AI Implementation Playbook

How to Build an AI-Ready Team

A proven 3-step approach to go from AI investment to AI ROI.

1

Start With Strategy

AI Product Managers and AI Ops Specialists define use cases, set ROI targets, and create the roadmap. Strategy first, technology second.

AI Product Manager AI Ops Specialist
2

Build the Core

AI Engineers, LLM Engineers, and Data Scientists build, fine-tune, and deploy the AI systems. From prototype to production.

AI Engineer LLM Engineer AI Data Scientist
3

Scale Across the Org

Prompt Engineers, AI Designers, and AI Content Strategists embed AI into every workflow. AI becomes how you work, not just a side project.

Prompt Engineer AI Design Lead AI Content Strategist
Build Your AI Team

Free consultation. Tell us your AI goals and we'll recommend the right team.

For Companies

Source AI Talent Without the Guesswork

We don't just match keywords. We understand AI roles and vet for real-world AI implementation skills.

AI-Specific Vetting

We assess prompt engineering, RAG architecture, model fine-tuning, and AI system design — not just Python skills. Our technical assessments are built for the AI era.

Cross-Functional AI Teams

Don't just hire engineers. Build complete AI teams: product managers to define strategy, designers to build the UX, and ops to keep it running. AI needs every function.

Enterprise Compliance

Compliant AI talent in 150+ countries. We handle contracts, payments, IP protection, and AI-specific legal requirements so you can focus on building.

Free Whitepaper

Closing the AI Implementation Gap

Our executive whitepaper on why AI-ready talent is the missing piece between AI investment and AI ROI — and how to build the cross-functional team that delivers.

  • The 3 reasons AI projects fail (and how to fix them)
  • A 3-step framework for building AI-ready teams
  • The complete AI-ready talent map: 13 roles across 6 functions
Download PDF No email required
WorkGenius Whitepaper

Closing the
AI Implementation Gap

Why AI-ready talent is the missing piece between AI investment and AI ROI.

February 2026 6 min read
For AI Professionals

Your AI Skills Are in Demand

The world's biggest companies are looking for talent like you. Join WorkGenius and get matched to high-impact AI projects.

  • Work with Fortune 500 companies deploying AI at scale
  • Get matched to projects that fit your AI specialization
  • Fair, transparent pay — no hidden fees or intermediaries
  • Recruiter support throughout every engagement
  • Flexible: project-based, part-time, or full-time engagements
Join the Network
Available Now
SL

Sarah L.

Senior LLM Engineer

4.9 (87 reviews)

Skills

LangChain RAG GPT 5.2 Fine-tuning Python Vector DBs
8+
Years exp.
23
AI projects
4
Active offers

Latest Project

Built RAG pipeline for Fortune 500 legal team — 40% faster contract review

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