Why Your Board Should Fund an AI Competitor to Your Own Company

By Camiel Notermans, Founder & CEO, ZeroForce

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The Most Dangerous Thing You're Not Doing

Right now, somewhere in a co-working space, a team of three people is building an AI-native version of your business. They don't have your customer relationships, your brand equity, or your distribution network.

They don't need them.

They have a system that does in hours what your operations team does in weeks. No management overhead. No HR complexity. No legacy software held together with duct tape. Just autonomous AI executing at machine speed with near-zero marginal cost.

Your competitor isn't raising Series A money. They're not hiring. They're building.

The question for your board isn't whether this threat is real. It's whether you want to control it or be destroyed by it.

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Offense Beats Defense Every Time

The default corporate response to AI disruption is defensive. Invest in AI tools. Automate existing workflows. Hire a Chief AI Officer. Commission a transformation strategy.

This is the wrong move.

Defensive AI adoption improves the efficiency of what you already do. It doesn't change your business model. It doesn't address the fact that the assumptions your entire operation is built on — labour costs, process complexity, customer acquisition costs — are being reset to near zero by AI-native competitors.

Efficiency gains don't survive business model disruption.

Kodak digitised its photo processing workflow. It still died when digital cameras made film irrelevant. Blockbuster optimised its store operations. It still died when streaming made physical media irrelevant. Today's version of that story: optimising your human-operated workflows while an AI-native competitor eliminates the need for those workflows entirely.

The companies that survived — and won — were the ones that funded their own disruption. Amazon didn't just sell books faster; it built AWS because Bezos understood that computing infrastructure was about to be disrupted and he wanted to own the disruption. Netflix didn't just stream content faster; it cannibalized its own DVD business before Blockbuster could exploit the window.

Offense beats defense. Every time. The only question is who's running the offense.

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The Controlled Disruption Thesis

Here's the strategic insight most boards are missing: you have a structural advantage that outside competitors don't.

You have:

• Deep domain knowledge about your own customers and operations
• Existing distribution and customer relationships
• Institutional knowledge about where your market is heading
• The capital to move now, before you're under threat

An AI-native competitor built in stealth doesn't have any of these. They'll spend 18 months figuring out what you already know. During that window, you could have already built, launched, and scaled the autonomous version of your own business.

The "controlled disruption" thesis is simple: spin up an AI-native competitor to your own company before an outsider does, using the advantages only you have access to.

This isn't a pivot. It's a hedge — and arguably the highest-ROI strategic move available to boards right now.

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What This Looks Like in Practice

The mechanics are straightforward.

Step 1: Map your own disruption surface. Identify the three to five core processes in your business that could be replaced by autonomous AI systems. Don't ask "how can AI improve this?" — ask "how would an AI-native startup eliminate the need for this entirely?"

Step 2: Fund a separate venture. Not a department. Not a task force. A separate entity with a mandate to compete, using AI-native architecture from day one. Give it real resources, real autonomy, and a real brief: build the version of this business that would put you out of business.

Step 3: Let it run autonomously. The power of this model is that the venture operates with AI at the core — not as a tool layered on top of existing processes, but as the operating system. Human oversight at the strategic level; AI execution at every other level.

Step 4: Either acquire it or become it. If the autonomous venture succeeds, you've controlled your own disruption. You own the AI-native competitor. If it fails, you've learned — cheaply, in a controlled environment — exactly where the limits are. Either way, you're ahead.

The companies that get this right don't just survive disruption. They own the next generation of their market.

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The ROI of Self-Disruption

Let's talk numbers — because this is ultimately a board conversation.

The cost of being disrupted: losing your core business to an AI-native competitor typically means a 70–90% decline in market cap, followed by either a distressed acquisition or extinction. In a disruption scenario, the question isn't whether you lose value — it's how much.

The cost of controlled disruption: funding an autonomous AI venture typically runs 1–5% of your current operating budget. Not a rounding error, but not existential either.

The return on controlled disruption: you either own the next iteration of your own market, or you force your competitors to react to your AI-native offering instead of the other way around.

The math isn't complicated. What's complicated is the organisational will to fund something that might cannibalize your existing revenue. But here's the reframe: if someone's going to cannibalize it, it should be you.

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Why This Is a CEO/Board Decision — Not a CTO Decision

This is where most companies fail before they start.

Controlled disruption gets delegated to the CTO, who frames it as a technology initiative. The AI venture gets absorbed into IT. It gets staffed with people accountable to the existing business's KPIs. The new venture optimises for not disrupting the current business.

This is organisational immune response — and it kills every meaningful disruption attempt.

Controlled disruption requires board-level commitment for three reasons:

1. It requires protecting the venture from the core business. The existing P&L will always fight against anything that threatens current revenue. Only the board has the authority to say: this venture gets resources, autonomy, and protection from internal politics.

2. It requires a different success metric. The autonomous venture isn't trying to optimise the current business model. It's trying to replace it. That's a different mandate, and it requires board-level clarity on what success looks like.

3. It requires strategic patience. Autonomous AI ventures don't follow traditional business development timelines. Boards that expect quarterly ROI from a venture designed to disrupt a multi-year business model will kill it too early.

The CTO builds the AI. The CEO decides whether to fund the disruption. The board determines whether the company has the strategic will to execute it.

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The ZeroForce Framework

This is exactly what we do at ZeroForce.

We work directly with boards and CEOs to design, fund, and launch autonomous ventures that compete with their own core business. Not as consultants advising from the sidelines — as venturing partners building the actual system.

The process is systematic: identify the disruption surface, architect the AI-native model, build the autonomous operating system, launch and iterate. We've learned, through direct experience building Zero Human Companies, exactly where the leverage points are and where the traps are.

The result is a funded, operational autonomous venture that your board controls — built by people who have done this before, moving at the speed the market requires.

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The Question Your Board Should Be Asking

Not: "How do we protect our current business from AI disruption?"

But: "If an AI-native startup were going to put us out of business, what would it look like — and why aren't we building it?"

The boards asking the first question are managing decline. The boards asking the second question are building the next version of their company.

Which board do you want to be?

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Camiel Notermans is the founder of ZeroForce, the world's first Zero Human Company venturing firm — building autonomous ventures that operate without human intervention. He advises boards and CEOs on controlled disruption strategy and AI-native venture building.