
618. David A. Fields, How AI is Impacting Consulting Hiring
Unleashed - How to Thrive as an Independent ProfessionalShow Notes
Show Notes: David A. Fields talks about how AI is affecting consulting firms. David clarifies that his company's active client base is 30-50 firms, and they are being asked more frequently to help firms with an AI strategy. In terms of size, 20% of their business is solo consultants, while the rest are mostly businesses that range from $2 million to $100 million. Consulting Firms and AI Adoption David explains that the average revenue per FTE in consulting has remained around $250,000 for the past decade.He notes that firms are looking to create the same revenue with fewer people, which is the big promise of AI. He mentions the wide range of AI adoption rates among firms, from those just starting with chatbots to those seeing significant productivity gains. He also highlights the impact of AI on hiring junior people, with firms debating whether to hire junior analysts or use AI for faster, cheaper work. How High-Adopter Firms Use AI The conversation turns to examples of high-adopter firms and the tools they use. David describes a Canadian client that has seen 60% productivity gains by replacing functions with AI, including analysis, presentations, and proposals. The client has taken a hard line on not hiring anyone if AI can replace the function, leading to significant productivity gains and faster client results. David explains that the client uses AI to create summaries of context discussions, and templates for presentations and proposals, which are then populated with data. Additionally, AI speeds turnaround time, and has reduced the need to hire more people to do analysis or when the number of clients increases. Challenges and Opportunities in AI Adoption David discusses the challenges of creating effective AI templates and the importance of good direction for AI tools. He mentions that firms are often building AI templates in-house with some direction from experts. He talks about the variety of AI tools available, including general-purpose tools like ChatGPT and specialized tools for specific tasks. David emphasizes the importance of staying flexible and not fully committing to any one tool by subscribing to an annual membership, as the landscape is constantly changing. Variation in AI Adoption by Functional Areas The discussion moves on to variations in AI adoption by functional areas like strategy, operations, marketing, etc. David explains that adoption rates are more driven by the founder's mindset and operational orientation rather than the specific function. He notes that some industries feel less pressure to adopt AI, while others recognize that AI delivers the analytical horsepower that is needed to stay relevant. There are varying levels of AI adoption across different firms. Predictions for AI in 2026 David predicts that the next few months will be spiky, with specialists who can provide practical applications of AI faring better. He mentions that generalist recommendation givers may struggle more. It is recognized that clients often prefer consultants with specific industry experience, which can be a challenge for AI tools. He also mentions the limitations of AI research. When it comes to advice for junior consultants looking to enter the field, David suggests that domain expertise and knowledge that AI tools don't have are crucial for getting into consulting firms. He emphasizes the importance of being a top user of AI tools and for junior consultants to differentiate themselves by mastering AI tools and demonstrating their value to firms. Timestamps: 02:40: Impact of AI on Hiring and Revenue in Consulting Firms 05:59: Specific AI Tools and Practices in High-Adopter Firms 11:12: Challenges and Opportunities in AI Adoption 14:56: Variation in AI Adoption by Functional Areas 19:26: Predictions for AI in 2026 and Beyond 21:06: Advice for Junior Consultants Links: Website: DavidAFields.com.
Unleashed is produced by Umbrex, which has a mission of connecting independent management consu
More from Unleashed - How to Thrive as an Independent Professional
Show Notes Ben Garthwaite introduces Pegasus Insights. He explains why his firm developed the tool and who it serves. Pegasus is a software tool designed to improve the traditional 13-week cash flow forecasting process. The tool targets middle-market companies and private equity-backed firms looking to improve accuracy and save time, and give better insights on their business on a weekly or daily basis. Pegasus has worked with various sizes of companies from multi-nationals to one-man real estate businesses. It revolutionizes the reporting process, and Ben explains that while 13-week models are common in distressed companies, consistent financial snapshots are vital for any business.
Waziri Garuba, creator of G.R.I.O.T and CEO of HarlemLabs, talks about how he was inspired by the limitations of Siri and where the name for his custom AI persona, G.R.I.O.T, comes from. He integrates several platforms including n8n.io, 11 Labs, Vercel, and it can be integrated with an LLM of choice, including Claude. The system operates using an agentic workflow where a central brain assesses inputs via webhooks. Incoming queries are classified into four categories: direct, tools, complex, or schedule-based to determine the appropriate routing. He explains how his agent can talk to the platforms.
Jean-Christophe Lanoix is the founder of Turboconsultant. He spent seventeen years at Hinicio, a strategy consultancy specialising in hydrogen — joining as an intern, rising to Associate Director and leaving in 2024, two years after the firm's exit. He now builds the system he wishes he had had. Introducing Turboconsultant An execution layer for solo consultants: a virtual team of AI agents spanning the whole practice — business development, research, methodologies, marketing and content, deliverable production, quality control, meetings and follow-up, admin. The consultant directs. The agents execute. It installs as a plugin on Claude Cowork and turns a generalist agentic workspace into a consulting-grade one. Three things separate it from a general-purpose assistant. Personalisation. A one-time onboarding hands it the consultant's own methodologies, templates, frameworks and voice. What comes out arrives in their template, follows their methods, and reads in their words. Quality control. Every document it produces passes three layers of audit before it leaves — sources traced, figures recomputed, claims contested by models outside the system. That is where AI hallucination and error get caught. Data walling. Nothing moves from one engagement to another, and the models do not train on client work. And it is one system rather than a patchwork of tools: the whole practice runs in a single environment that sharpens with every engagement. The net effect, measured on the existing user base, is a 25x on average, while improving the general quality of the work. Demonstration of Turboconsutlant Both cases are invented, and so is the consultant behind them — a generic profile carrying no proprietary methodologies, no past deliverables, no writing to learn from. The engagement starts the way a real one does: a request for proposal lands by email. Everything that follows comes out of that one document and public sources. The proposal — thirty minutes The system interviews the consultant first — how they want to work, whether they know the client, who delivers, what their day rate is. Then it writes, in their own template: context, the question behind the client's question, objectives, approach and methodology, scope in and out, work packages, data room requirements, timeline, budget options, next steps. The consultant reviews and signs off. Nothing leaves unvalidated. Without AI, a proposal of that depth is several man-days.
Show Notes: Andreia Fernandes, founder of the Portfolio Career Institute, explains that the term "portfolio career" was coined by Charles Handy in 1994, and it emphasizes working in different roles and contexts. Defining a Portfolio Career Andreia adds that portfolio careers involve using different skills in various contexts, such as a mathematician working in both a school and an insurance company. She highlights that portfolio careers are not just about diversifying income streams but also aligning with one's values and being purpose-driven. The Portfolio Career Program Andreia describes the stages of her cohort program for pursuing a portfolio career. She emphasizes the importance of community and peer exchange in her program, sharing an example of two bankers with different career paths. The program starts with understanding one's strengths, purpose, and limitations, and includes evaluating whether a portfolio career is the right fit. Andreia mentions that some participants are clear about their goals, while others are unsure and need guidance to explore new paths. Designing a Career Andreia discusses the importance of self-reflection and specific exercises in her program, such as the Ikigai principle. She introduces the portfolio career canvas, a framework she developed with a scientific background to help participants design their careers. The canvas includes elements like portfolio career metrics, learning journey, network building, and revenue streams. Andreia explains that participants need to consider what would make them regret having a portfolio career and adjust their plans accordingly. Stages of the Portfolio Career Program Andreia explains the next stages of the program, focusing on activating networks and positioning oneself in the market. She shares her own experience of having a portfolio career, including entrepreneurial ventures, lecturing, and executive coaching. Andreia emphasizes the importance of having a unique selling proposition (USP) and positioning oneself in the right environment. She provides examples of her clients' success stories, such as a banker who became a lecturer and project manager. How the Program Helps Participants When asked about common strands in portfolio careers, and Andreia mentions that there are no limits to what one can do. Andreia shares an example of a white-collar worker who wanted to produce something with their hands, such as brewing beer or working with wood. She discusses the concept of strategic diversifiers, who have two passions and want to follow different streams to balance their energy. Andreia highlights the importance of learning and knowledge sharing in portfolio careers, especially in the knowledge economy. How the Program Impacts Careers Andreia shares examples of participants who have gone through her cohort and the impact it had on their careers. She mentions a banker who became a lecturer and project manager, exploring new areas outside of risk management. Another participant, an employer for seven and a half years, strengthened her current activity by exploring new business models. Andreia emphasizes that the program helps participants design their future and make informed decisions about their careers. For those who want to learn more about Andreia's coaching and the Portfolio Career Institute, Andreia offers upcoming events and webinars where potential participants can meet her and learn about her approach. Andreia encourages listeners to visit the website for more information and to contact her directly for further inquiries. Timestamps: 0:02: Defining a Portfolio Career 02:50: Program Structure and Community Support 06:51: Self-Reflection and Exercises 13:16: Activating Networks and Positioning 14:36: Common Strands in Portfolio Careers 19:52: Impact of Cohort Participants 20:56: Resources and Contact Information This episode on Umbrex: https://umbrex.com/unleashed/episode-655-andreia-fernandes-portfolio-careers-the-future
Show Notes: Shankar Ananth shares his background, mentioning his nine years of consulting experience, highlighting his experience at McKinsey and Bain, and his role in building the new app, Micro-Casing. Bridging the Gap in Case Interview Preparation Shankar explains the gap in case interview preparation methods, which led him to create Micro-Casing. He also mentions his eight years of experience as a case coach and the usefulness of the app for students. He discusses the target audience of the app, which includes consulting candidates and those looking to improve their consulting thinking. Micro-Casing - Your Case Partner Reimagined Shankar explains the homepage of the app, where users can log in through Google or Apple.