The traditional consulting model — charge a premium, deliver a deck, disappear — was always a bad deal. Now that AI can replicate the deliverable for a fraction of the cost, it's an inexcusable one.

Let me say something plainly: I think the traditional consulting model is one of the most cynical arrangements in business. You hire a firm. They send in a team of analysts, often made up of brilliant, twenty-six years old ambitious wonks working from a template, who spend eight weeks learning your business, interviewing your leadership, and synthesizing what you already know into a document you could have written yourself. Then they hand you the deck, collect somewhere between $80,000 and $400,000, and leave. The implementation is your problem.

For decades, executives accepted this arrangement because objectivity had a price, and the credibility of the firm's letterhead had real value in boardrooms and investor meetings. McKinsey said so. BCG validated the strategy. That meant something. But the model always had a fundamental flaw: the consultants were never accountable for what happened after the presentation.

The AI Moment That Changes Everything

Here is the part of this story that should give every executive pause. McKinsey, the firm charging you $500-an-hour for strategic insight, has quietly deployed an internal AI platform called Lilli, and reports indicate that roughly three-quarters of its 40,000-plus employees now use it for strategy work, client research, and document analysis. The firm processes more than 500,000 AI prompts per month internally and has reported time savings of up to 30% on knowledge retrieval and synthesis tasks. All of this is going on inside their walls while they are billing clients at rates that presuppose a level of human intellectual labor that is increasingly being automated away.

To be clear: there is nothing wrong with using AI. I use it every day. The issue is the value proposition. If the primary output you are paying for, including the research synthesis, the market sizing, the competitive landscape, the strategic framework, is now being generated in significant part by the same language models you have access to, then what exactly are you paying for?

I’ll tell you: You are paying for the letterhead. You are paying for the brand. What you are not paying for, and what you have never been getting enough of, is genuine accountability for what happens after the deck lands.

Where AI Ends and Judgment Begins

None of this means AI should be kept out of go-to-market strategy. That would be as misguided as refusing to use spreadsheets. The question is not whether to use agents; it is knowing precisely where to use them, where not to use them, and how to use them.

This is where I see companies making their most expensive mistakes right now. There is a seductive logic to over-automation: if an agent can draft the email sequence, generate the market sizing, write the product brief, and map the competitive set, why wouldn't you let it do all of those things? The answer is that your prospects know. Not always consciously, but they feel it.

An outreach sequence built entirely by an AI and never audited by a human who understands the relationship context is legible in a way that is deeply off-putting to sophisticated buyers. It is the business equivalent of being handed a form letter addressed to "Dear Valued Customer." You know immediately that no one who cares about you wrote it.

The same dynamic applies to product integrations. Agents can accelerate the work of connecting one SaaS platform to another, scaffolding a UI, or generating a first-draft workflow. In these cases, AI is an accelerator, not an originator. The final product, though, must be something a human being has to use. Consequently, you need a human being to audit what AI produces before it goes anywhere near a client. I have learned this directly, from experience that went both ways.

What Sophisticated Businesses Actually Need

You are talking to people who know better. Your partners, your enterprise buyers, and your investors have been pitched by consultants for years. They have received the decks. They have heard the frameworks. They can feel, immediately, when they are being handled by a process rather than engaged by a person. Treating them otherwise is not just ineffective. It is a slap in the face.

What actually moves sophisticated people is someone who has taken the time to understand their vision, their founding principles, their industry context, and their actual competitive position and who is bringing judgment, not just output. That is not something you can prompt into existence. It requires someone embedded enough to know what matters, experienced enough to know what works, and accountable enough to still be there when the strategy needs to be adjusted.

Credibility is a Team Sport

A single operator, however capable, is more credible when they show up with a network behind them. I’m not talking about a firm with a recognized logo; I am talking about a genuine ecosystem of partners, specialists, and allies who can be activated for the specific challenge at hand. That is how Tao of Data operates.

I am not a one-size-fits-all solution and I will tell you clearly when something requires a capability outside my own. What I bring is the judgment to know the difference, the relationships to solve for it, and the commitment to stay accountable through the outcome, not just a theoretical deliverable.

The consulting model worth paying for in 2026 and beyond is not the one that synthesizes your market for you and hands you a .pdf. It is the one where someone who has done this before embeds with your team, uses every tool available, AI and otherwise, with sophisticated judgment, and does not leave until the thing actually works.

That is not what most consultants offer. It is exactly what I do. If this is what you are looking for and what your entity needs in order to scale, let’s talk.