88% of organizations now use AI regularly — but only 6% generate meaningful financial impact. The gap isn't about tools. It's about strategy. Here's what using AI architecturally looks like across every pillar that matters.
- In 2025, 88% of organizations used AI regularly — but only 6% generated meaningful EBIT impact (McKinsey State of AI, July 2025)
- AI-powered corporate ventures reached the $10M revenue milestone 7 months faster than pre-AI ventures (McKinsey AI Venture Building, March 2026)
- AI could boost global trade by nearly 40% by 2040 — cross-border leaders who adopt strategically now will capture a disproportionate share (WTO World Trade Report, September 2025)
The Framework Isn't Changing. Your Execution Is.
The Build, Move, Grow framework has guided how I think about what ambitious leaders should focus on: construct a business that creates real value, expand strategically across geographies and markets, and grow wealth in a way that compounds over time. These three pillars haven't changed.
What has changed is everything inside them.
AI isn't a new strategy. It's a new execution layer — and it's sitting inside every pillar simultaneously. The founders and leaders I watch who are generating real results aren't just using AI more than their peers. They're using it more architecturally — embedding it into how they make decisions, structure their operations, and allocate capital.
In my own work across immigration consulting, business strategy, and investing, the shift happened when I stopped treating AI as a productivity tool and started treating it as a thinking partner. The clarity of decisions improved. The speed improved. The ability to see what actually matters — without the noise — got sharper.
The question isn't whether to use AI. It's whether you're using it at the right layer.
Build: AI Is Your First Hire
In 2025, AI significantly changed the calculus of building a business. According to McKinsey's State of AI report, 88% of organizations now use AI in at least one business function — up from 78% the year before (McKinsey State of AI, July 2025). The building blocks of a company — hiring, systems, decision-making — are all being renegotiated.
The old model of building started with people. You had an idea, you needed talent, talent was scarce and expensive, and hiring was the fundamental constraint on how fast you could build. That constraint has shifted.
Organizations using blended teams — combining AI systems with full-time and contracted human talent — are twice as likely to reach advanced AI deployment stages than those relying on traditional hiring alone (A.Team 2025 AI Leadership Research, February 2025). They're building faster because they've accepted that AI can now do what junior hires used to do: synthesize research, draft documents, run analysis, manage structured workflows.
McKinsey's 2026 research on AI-powered venture building found something even more concrete: corporate ventures using AI reached the $10M revenue milestone in just 31 months — down from 38 months in 2023 (McKinsey AI Venture Building, March 2026). Seven months back in your pocket — from a systems decision, not a hiring one.
The founders winning right now aren't retrofitting AI onto legacy processes. They're designing AI-native operating models from day one — where AI handles execution, humans handle judgment, and the whole system moves faster. For the Build pillar, AI changes three fundamentals: how you hire (less, and later), how you decide (faster, with more data), and how you build systems (leaner teams, greater output).
Move: AI Is Collapsing Borders
The Move pillar is about crossing boundaries — geographic, market, and opportunity boundaries. It's where immigration consulting, cross-border strategy, and global expansion live. For most of my career, moving meant physically moving. You needed people in a market to understand it, serve it, and grow within it. AI hasn't eliminated that expertise. But it has eliminated the friction around it.
In September 2025, the WTO published research showing AI could boost global goods and services trade by nearly 40% by 2040, with the largest growth in digitally deliverable services (WTO World Trade Report 2025, September 2025). That's not a modest projection — that's a structural shift in how cross-border business operates.
India's position in this shift is particularly significant. As of mid-2025, India holds 16% of the global AI talent pool — second only to the United States and representing a 1.9 percentage-point increase in global share year-over-year (BCG India's Global AI Race, June 2025). For Indian-Canadian founders and leaders navigating both markets — whether through immigration pathways, cross-border business, or reverse migration decisions — this creates an unprecedented opportunity. AI skills built in one market transfer directly into the other.
The leaders who understand the Move pillar in an AI world aren't waiting for a visa to enter a new market. They're using AI tools to understand that market — its customers, regulations, competitive landscape, and pricing dynamics — before committing a single dollar. That's information access that previously cost six figures in consulting fees and months of boots-on-the-ground time.
Moving smartly has always meant moving with the right information. AI has made that information accessible to entrepreneurs who couldn't afford it before. If you're working through an immigration or cross-border business decision right now, this is part of why I cover it regularly on the Real with Ritesh podcast — the information environment has changed, and strategy needs to change with it.
Grow: AI Is the Compounding Lever
Wealth doesn't build itself. The inputs to long-term wealth building have always been the same: capital allocation, timing, and access to quality information. Two of those three have historically been democratic — anyone with capital and patience can access them. The third — quality information — never was. Until now.
In February 2025, Accenture surveyed 500 financial advisors across the US and Canada and found that 96% believe generative AI will revolutionize client servicing and investment management — with 97% expecting the most significant impact within the next three years (Accenture Powering Wealth Management with Generative AI, February 2025). This isn't about replacing advisors. It's about AI giving founders and investors the same quality of information access that was previously reserved for institutional players.
But here's the data that matters most for the Grow pillar: PwC's 2026 AI Performance Study found that the top 20% of AI-adopting organizations capture 74% of AI's total economic value — and run approximately 4 percentage points higher profit margins than their peers (PwC 2026 AI Performance Study, April 2026). The distribution isn't random. These are organizations that embedded AI into their decision-making architecture — not just their execution layer.
The founders I watch who are building real wealth aren't treating AI adoption as an expense. They're treating it as a capital allocation decision — because that's what it is. Where you invest in AI systems is as strategic as where you invest capital. Get that right, and the compounding starts from both directions at once.
For the Grow pillar, AI changes the wealth-building calculus in three specific ways: better investment decisions (more data processed faster, fewer blind spots), better business exits (AI-native companies command higher multiples), and more time for strategy (when AI handles execution, you can focus on what grows the asset, not just what maintains it).
The 6% Problem — Why Most Leaders Miss the Value
Here's the uncomfortable reality behind all these statistics: 88% of organizations report using AI regularly. Only 6% generate significant financial impact from it (McKinsey State of AI, July 2025). That gap — between adoption and value — is the real strategic challenge for leaders right now.
What separates the 6% from the 94%? It's not the tools. The tools are largely the same — ChatGPT, Claude, Gemini, Copilot. The difference is how AI is positioned inside the business. The 6% have integrated AI into how they think, not just how they work. It's embedded in their decision processes, their hiring models, their financial frameworks.
The 94% are using AI to do things faster. The 6% are using AI to do things differently.
Deloitte's January 2026 survey of 3,235 leaders across 24 countries found something that illustrates this exactly: 66% achieved productivity and efficiency gains from AI — but only 20% have increased revenue so far, despite 74% expecting to (Deloitte State of AI in the Enterprise 2026, January 2026). Efficiency gains are real. Revenue impact requires a different kind of integration.
The question for every leader reading this isn't "what can AI do for you?" That's the adoption question — and 88% of organizations are already there. The strategic question is: "what decisions would I make differently if I had AI-quality information about them?" Start there. Work backward to the tools.
The Sequence Has Changed — And So Has the Opportunity
The traditional Build, Move, Grow sequence was linear. Build first — stabilize the business, then think about moving into new markets. Move, establish yourself, then think about growing wealth strategically. Each phase required the previous one to be largely complete before the next could begin.
AI breaks that linearity.
Today, you can build a lean AI-native business while simultaneously using AI to explore new markets, while using AI-powered financial tools to make better capital allocation decisions — in parallel. Not sequentially. The framework is the same. The sequencing is no longer forced.
This is the real redefinition. Not that Build, Move, Grow has changed — it hasn't. But the framework can now be executed with far less friction and far greater precision by a focused founder with the right strategy and systems behind them.
If you've been waiting to "get AI right" before expanding, or waiting to hit a certain revenue threshold before thinking about your wealth strategy — the wait has a cost. The 6% aren't waiting. And the leaders I work with who are making real moves across immigration, AI, and business strategy aren't either.
The Build, Move, Grow framework still works. What AI has given you is the ability to work all three pillars with more intelligence, more speed, and more strategic precision than was possible two years ago. The window to get ahead of this is open — but it won't stay that way.
If you're a founder or leader figuring out how to build an AI strategy that actually serves your specific goals — let's talk. And if you want to understand how these frameworks play out in real businesses, read about how Ritesh built across three pillars.
Frequently Asked Questions
What does AI strategy for leaders actually mean in practice?
An AI strategy for leaders goes beyond using individual tools — it means embedding AI into your decision architecture. In 2025, only 6% of organizations generated meaningful financial impact from AI, according to McKinsey. The 6% don't use more tools; they use AI more deliberately, integrating it into how they build, move, and grow rather than just how they execute tasks day-to-day.
How can AI help business leaders expand across borders without a physical presence?
AI now handles market research, translation, customer segmentation, and regulatory navigation across jurisdictions — functions that previously required in-country teams or expensive consultants. The WTO projects AI could boost global trade by nearly 40% by 2040, with digitally deliverable services leading the way. For India–Canada entrepreneurs specifically, AI compresses the cost of operating across both markets simultaneously while India contributes 16% of global AI talent (BCG, 2025).
Is AI primarily a cost-cutting tool or a growth strategy for leaders?
The leaders generating the most value treat AI primarily as a growth strategy. PwC's 2026 AI Performance Study found the top 20% of AI-adopting companies capture 74% of the economic value and run approximately 4 percentage points higher profit margins than peers. They achieve this not by cutting headcount, but by accelerating decision velocity, improving capital allocation, and opening revenue streams that weren't viable before.
