#3 Profit Pools Under Siege – How AI is Atomising the Core Margins of Legacy Businesses
#5 Looking Ahead to 2030 – Preparing for the Next Wave of AI-Native Competition and Opportunity
Executive Summary
AI-native startups are not targeting your cost base, they’re attacking your core revenue streams. High-margin services that incumbents have long sold to clients consulting, custom software, legal renewals, pricing strategy are now being replicated, accelerated, and unbundled by AI-native challengers operating at radically lower cost.
This isn’t operational optimisation. It’s commercial displacement. The profit pools that fund your future are under siege.
Boards and executive teams must act with urgency. Retooling internal systems is no longer enough, your external service lines must be reinvented before they are outclassed by faster, cheaper, AI-native competitors.
Strategic Context and Importance
Enterprises don’t lose relevance all at once. They lose it when their most profitable offerings those once protected by complexity, expertise, and customer intimacy become replicable.
These services often deliver 60–80% of enterprise profit. They are considered defensible because of their perceived need for human judgment, long timelines, or regulatory complexity.
But AI-native firms are delivering the same outcomes, with none of the friction. They remove the effort and collapse the delivery model selling direct, at scale, with no margin for incumbents to hide behind.
Real-World Examples of Profit Pool Atomisation
1. Supernatural AI: Replacing Brand Strategy Firms
- Targeted Profit Pool: Advertising and campaign strategy ($10k–$100k+ per engagement)
- Approach: AI platform delivers fully integrated campaigns data-led creative, segmentation, and media planning, in hours.
- Impact: Eliminates need for agencies or in-house cross-functional teams.
- Strategic Insight: Brand strategy firms are being bypassed as firms prioritise speed, iteration, and automation.
2. StackBlitz (via Bolt.new): Outpacing Custom Software Providers
- Targeted Profit Pool: Enterprise software builds ($50k–$500k+)
- Approach: Translates text prompts into production-ready code using pretrained agent workflows.
- Impact: $20M ARR in 8 weeks; enterprise-grade software shipped in minutes.
- Strategic Insight: Boutique dev firms and internal innovation labs are losing ground as code becomes commoditised.
3. AI Renewals Agents (Mistral-style): Displacing Legal and Commercial Advisors
- Targeted Profit Pool: Contract renewal services (external legal, procurement, commercial consulting)
- Approach: Auto-generates renewals based on usage, benchmarking, and risk scoring, no human input needed.
- Impact: Renewal cycles cut by 30%; legal spend shrinks dramatically.
- Strategic Insight: Law firms and deal-side consultancies are being displaced by embedded, autonomous deal agents.
4. OffDeal: Automating M&A Advisory
- Targeted Profit Pool: M&A advisory and investor memos ($500k–$5M+ per transaction)
- Approach: AI-native platform manages deal sourcing, diligence, and pitch automation for growth-stage firms.
- Impact: Disintermediates the mid-market banker; faster, more scalable deal flow.
- Strategic Insight: Corporate finance advisors are being replaced by full-stack AI-native investment platforms.
5. Zilliant: Replacing Strategic Pricing Consultancies
- Targeted Profit Pool: Strategic pricing engagements ($250k–$2M+)
- Approach: AI models simulate market shifts, competitive behaviour, and demand elasticity in real time.
- Impact: Delivers pricing lift of 5–15%, with no human strategist required.
- Strategic Insight: Revenue strategy consultants and pricing analysts are losing relevance to AI-native precision pricing engines.
Strategic Recommendations
- Audit Your External Profit Pools for AI Exposure
Map your highest-margin offerings. Identify where AI-native challengers already deliver the same customer outcomes. - Stand Up a Greenfield AI-Native Business Unit
Launch a separate team with a clean mandate to build agent-first, outcome-led offerings. Don’t retrofit, start fresh. - Turn Your IP Into Software
Take proprietary frameworks, methods, or data and build them into AI-powered workflows or client-accessible products. - Make It Hard to Compete with You
Pick one high-risk service and strengthen it using what only you have trusted relationships, specialist knowledge, or exclusive data. - Exit Services Already Being Replaced
Don’t wait for margin erosion. Redeploy capital from declining offerings to areas where you still have a strategic edge.
Actionable Boardroom Takeaways
- Audit profit pools – Find where your margins are exposed to AI-native competition.
- Launch a greenfield AI unit – Build a new offering with AI at the core, not bolted on.
- Productise your IP – Turn one method or dataset into a customer-facing AI service.
- Fortify one key service – Use your unique assets to make it hard for AI rivals to copy.
- Exit before collapse – Wind down services already being undercut by AI.
Conclusion
The most profitable parts of your business, the ones built on complexity, expertise, and customer relationships are now being atomised by AI-native challengers.
These firms aren’t building tools. They’re building businesses that deliver the same outcomes your customers pay you for, only faster, cheaper, and without legacy drag.
For boards and executive teams, this is not a technology issue, it’s a revenue crisis in slow motion. The profit centres that fund your future are being dismantled today.
You can’t defend yesterday’s margins with yesterday’s model.
This is the essence of Defence and Dominance.
The market isn’t waiting. And the AI-native firms aren’t playing by your rules.