About this video

• Video Title: This Ai Job Will Explode in Demand in the Next 12 Months
• Channel: Marketing Against the Grain
• Speakers: Not explicitly mentioned, but likely the host of the "Marketing Against the Grain" podcast.
• Duration: 14:59

Overview

This video discusses the significant and growing demand for AI consulting services. It outlines a four-step process for establishing an AI consulting business, emphasizes the importance of defining services and target customers, and highlights the value of AI-generated audits and roadmaps. The video also points to resources for marketing and customer acquisition in the AI era, concluding that despite AI's advancements, the need for human expertise in implementing and integrating AI solutions creates a massive, low-competition market opportunity.

Key takeaways

• AI Consulting Business Opportunity: The core message is that businesses need help implementing AI, creating a substantial demand for AI consulting services.
• Four-Step Business Setup:
  1. Define Offerings: Clearly articulate AI consulting services (e.g., audits, training).
  2. Identify Ideal Customer Profile (ICP): Determine company size, industry, and target roles.
  3. Utilize AI Tools & Resources: Leverage AI prompts (like those provided) for audits, assessments, and roadmaps; use marketing resources for customer acquisition.
  4. Customer Acquisition: Employ strategies like direct outreach or marketing (e.g., LinkedIn, YouTube, influencer partnerships).
• Value of AI Audits: AI can quickly generate comprehensive AI transformation audits, including opportunity assessments, prioritization metrics, and implementation roadmaps, which clients would otherwise pay significant amounts for.
• High Demand, Low Supply: There's a $100 billion market for AI integration and consulting with limited competition, as most businesses don't know where to start.
• Human Expertise is Crucial: While AI automates tasks, the need for humans to guide businesses through AI transformation, integrate AI systems, and develop custom workflows is increasing.

The video discusses several specific AI consulting offerings and products that businesses can provide or utilize:

• AI Consulting Services: This is the overarching service, helping businesses understand and implement AI.
• AI Audit Services: Conducting an "AI transformation audit" for clients to assess their current state and identify areas for AI integration and improvement.
• AI Training: Providing training to employees on how to use AI tools, such as "chat GPT training" or "cloud training" for marketing use cases.
• AI Transformation Roadmaps: Developing a 90-day implementation plan for clients to adopt AI technologies.
• Custom AI Workflows: Designing and building specific AI workflows tailored to a business's needs.
• Enterprise-Level Audits: Utilizing advanced AI prompts to conduct detailed audits for large businesses.
• AI Opportunity Assessment: Evaluating the potential benefits, implementation difficulty, and cost savings associated with AI adoption for a client.
• AI Integration Services: Helping businesses integrate AI solutions across their existing systems and processes.
• Building Custom Applications: Assisting businesses in creating niche or internal custom applications powered by AI.

The AI Opportunity Assessment offering, as discussed in the video, is a service that helps businesses understand the potential value and feasibility of integrating AI. It involves using AI tools (like specific prompts within ChatGPT) to generate a comprehensive analysis for a client.

Here's a detailed breakdown of what this offering entails:

• Purpose: To provide a clear picture of how AI can benefit a specific business, what tools could be used, the effort required, and the expected financial return.
• Process:
  1. Input: The consultant would input specific business details and context into an AI prompt designed for this assessment.
  2. AI Generation: The AI then processes this information to produce a detailed report.
• Key Components of the Assessment Report:
  • Executive Summary: A high-level overview of the findings, suitable for management teams.
  • Process Mapping: Analysis of current business processes across different departments (sales, marketing, operations, customer service) to identify areas for AI intervention.
  • AI Opportunity Identification: Pinpointing specific areas where AI can be applied to improve efficiency, reduce costs, or create new value.
  • Potential Tools: Suggesting relevant AI tools or platforms that could be used for the identified opportunities.
  • Implementation Difficulty: An assessment of how challenging it would be for the client to implement the proposed AI solutions.
  • Cost Savings Projections: Estimating the amount of money the client could save by adopting the recommended AI strategies.
  • Cost-Benefit Analysis: A quantitative comparison of the costs involved in AI implementation versus the projected financial benefits.
  • Prioritization Metrics: Helping the client decide which AI initiatives to pursue first based on impact and feasibility.
  • Quick Wins: Identifying immediate, smaller-scale AI applications that can be implemented quickly.
  • Implementation Roadmap: Outlining a plan (e.g., a 90-day roadmap) for how the client can start implementing AI solutions.
  • Financial Modeling: Potentially includes interactive financial models showing cost savings and break-even points, allowing for adjustments to variables.

In essence, the AI Opportunity Assessment is a powerful diagnostic tool that uses AI to provide businesses with a data-driven understanding of their AI potential, complete with actionable insights and a strategic plan, enabling them to make informed decisions about AI adoption.