There is a question that sits at the center of The Augmented Advisor, posed by Ritin Agarwal not as a rhetorical flourish but as a genuine diagnostic tool for every practicing consultant.
If you mapped every hour of last month’s work into two buckets, one labeled “AI could realistically handle this” and the other labeled “this genuinely required me,” what would that ratio look like? More importantly, which direction is it moving?
The answer to that question, Ritin argues, is the most honest assessment of where an advisory practice currently stands and where it is headed. Because the work AI picks up fastest was always more about volume and structure than about the kind of thinking that actually changes outcomes for a client. The premium in consulting is concentrating. It is gathering around territory that needs presence, accumulated experience, and professional instinct that only develops through years of high-stakes, consequential work.
That concentration changes more than what consultants do on a Tuesday afternoon. It reshapes how firms need to be structured, how services need to be designed, how pricing needs to work, and how people in this space need to think about their own career and professional identity.
Why specialization is not a constraint but an accelerant:
The Augmented Advisor dedicates an entire chapter to niche ownership, and Ritin’s argument is counterintuitive enough to be worth unpacking carefully. Most consultants resist narrowing their focus because it feels like turning away potential work. The instinct is understandable. It is also, in the current landscape, increasingly costly.
The generalist model served its era well. When knowledge was expensive and hard to source, a client needed someone who could credibly span multiple domains. That model now faces compression from both directions: AI covering horizontal ground faster and at lower cost than any human generalist, while clients grow discerning enough to identify precisely what kind of specialized insight they require.
The advisors constructing resilient practices today have committed to going deeper into more tightly defined territory, building the kind of authority that compounds with every engagement and every year. Narrowing focus functions as an accelerant rather than a constraint.
The specific dynamics that make India’s advisory landscape particularly significant right now:
Ritin gives the Indian market a specific, substantive treatment in The Augmented Advisor that goes well beyond acknowledging it as an interesting growth market. His analysis is more precise than that.
India’s cost sensitivity is deeply embedded, so efficiency gains from AI-enhanced advisory get adopted faster than in markets where higher billing rates face less scrutiny. Talent depth across finance, tech, and analytics means there is a workforce uniquely ready to use these tools creatively. Digital leapfrogging, the pattern that transformed payments, banking, and public services across India, is starting to show up in consulting too.
And then there is the dimension that does not get enough airtime. The scale of unmet demand. Millions of mid-market and MSME businesses have never worked with a professional advisor. Never had structured financial planning. Never accessed the kind of support that was always reserved for large companies with large budgets.
AI-enhanced, scalable delivery is making that reach possible for the first time. India is not simply along for the ride on this shift. It is positioned to define what the next generation of advisory looks like entirely.
When AI narrows the capability gap between large firms and small ones, when a focused fifteen-person team with the right tools and real expertise delivers at a quality that once required fifty people, the old hierarchy loosens. What matters shifts from scale and infrastructure to specialization, intelligence in workflow, and consistency of outcomes.
- Independent practitioners with sharp niches are winning mandates next to established names
- Mid-size firms with deep domain focus are scaling at rates that would have been unthinkable under the old model
- The economics of running a lean, tech-forward practice have never been more favorable
The three truths that run beneath every chapter of the book:
Ritin names them clearly in the conclusion and they are worth presenting directly because they are the architecture on which everything else in the book sits.
Depth outperforms breadth, consistently, decisively, and increasingly. The advisors constructing resilient practices today have committed to going deeper into more tightly defined territory, building the kind of authority that compounds with every engagement and every year.
Trust emerges through sustained consistency rather than competence alone. Clients can now verify competence with relative ease. They benchmark deliverables, cross-reference methodologies, and evaluate quality against a wider competitive field than was previously accessible. Finding someone they trust at a level beyond professional respect remains difficult and commands an outsized premium. Trust is assembled from accumulated evidence, commitments honored without exception, predictions that proved sound, difficult truths offered with care rather than withheld for comfort.
The advisor’s leverage has shifted from time to judgment amplified by tools. The same advisor, equipped with thoughtfully chosen tools and well-designed processes, can now produce in a single day an outcome that previously demanded a week, and the outcome is frequently superior. Expertise no longer needs to remain imprisoned inside billable hours. It can be embedded in products, codified in frameworks, extended through platforms that serve clients around the clock.
What expertise actually means now and why the AI moment reveals rather than removes it:
Ritin addresses a specific misreading of the AI moment that he considers worth correcting directly.
Some advisors hear “AI will handle the analysis” and receive it as a verdict on their relevance, as though the knowledge painstakingly built over years of practice has been made redundant because a model can generate a financial summary in twenty minutes.
That reading misapprehends what expertise is.
Expertise is the ability to discern which information matters. Understanding why a particular set of figures tells a fundamentally different story than a surface reading suggests. Recognizing that a pattern presenting as a technical signal in the data is, in reality, a leadership failure in disguise. Perceiving that the problem the client articulated in the project brief differs from the actual problem and possessing the confidence and credibility to redirect the engagement accordingly.
That layer of understanding is forged through years of applied experience, sharpened by curiosity, and calibrated through the relentless feedback loop of seeing which judgments held up and which ones collapsed. Models lack it entirely. Genuinely seasoned advisors possess it fully.
AI compresses the surface layer: the time consumed by gathering, organising, and presenting information. Reducing that layer reveals the expertise beneath it rather than diminishing it. A cleaner transaction for everyone. Better outcomes for the client. Better economics for the advisor. A more honest relationship between the two.
The Augmented Advisor is available on Amazon, Flipkart, Kindle, and Google Books. Buy now and build the kind of depth that compounds into authority no algorithm can replicate.
Grab Your Copy Now: https://www.amazon.in/dp/B0GYK78MGL
