The ONLY Way to Win as an Enterprise in 2026
In this presentation Marc Chabot argues that the single sustainable competitive advantage for any company in 2026 is the speed at which it can continuously deploy AI‑driven changes. He frames this as a "continuous transformation flywheel" and uses the physics formula force = mass × acceleration to illustrate how organizational size (mass) and decision‑making speed (acceleration) combine to create market momentum. Chabot shows that all competitors have equal access to the same AI models and tools, so the differentiator is execution speed. He provides concrete tactics for both small (launch ~12 agents quickly, add 2 per quarter, act on an insight every other day) and large enterprises (eliminate manual tasks and meetings, flatten hierarchy, enable at least one real change per week, use agents for idea capture, prioritization, planning, governance, and escalation). He backs the claim with historical data on Fortune‑500 tenure, a simple growth‑rate math example, and case studies of OpenAI, Anthropic, NVIDIA, and Tesla. The core solution is his Force Equals (FourSquares) platform, a system‑agnostic, integrated workflow that connects idea pipelines, AI agents, governance, and execution into a single loop, allowing companies to launch, monitor, and iterate on changes weekly. The video ends with a free‑trial call‑to‑action.
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So let's say 2 competitors decide to make the same change in the same week. One of them has it live in 2 weeks. The other is still waiting on approval 6 months later. And by the time it's finally done, the first company has already captured the impact and moved on to the next opportunity. And if again, they can get that next opportunity live in 2 weeks, this adds up. Clearly one company has an advantage over the other. One is compounding impact while the other is sort of stuck. Look, every single one of your competitors is buying the exact same AI as you are. They have the same access to the same models, the same agent platforms, and the same tools your team just signed a contract for. So whatever advantage you were expecting to get out of the technology itself, out of AI itself, everyone else already has it. That leaves you with just one thing that actually separates you from them: how fast you can actually deploy AI to change how your business works safely, iteratively, and continuously. That's really the only way to win as a company right now— being able to change how your business works as fast as possible. Change after change, like a flywheel. And I mean an actual change, like raising an approval limit, cutting a step out of your onboarding flow for a customer, updating a price rule nobody's looked at in years, adding a new product or service capability, changing your pricing structure entirely, automating your configuration of it, or adding a new agent into a workflow. Now, I've helped dozens of companies plan and deploy some of their biggest projects, and most of the time they take way longer than they need to. So in this video, I'm going to show you how to make changes in your business faster than most companies and how to build a flywheel for change that gives you a competitive advantage. Here's what most people get wrong. They think this is about small companies beating big companies. It's not. It's It's simpler and more brutal than that. Size doesn't matter. What matters is adoption. If you're small and you don't adopt continuous transformation, you're dead. If you're large and you don't adopt continuous transformation, you're dead. The only variable that matters is speed of adoption. The company that figures out continuous transformation first, whether it's a 50-person startup or a 50,000-person corporation, the first to adopt wins. The companies that don't adopt, they'll become irrelevant. Look at the Fortune 500 over the last 50 years. In 1980, the average Fortune 500 company lasted 75 years on the list of the top 500. In 2000, it was down to 15 years. Today, it's less than 10 years. The pace of disruption is accelerating. Companies that were dominant a decade ago are irrelevant today. Companies that don't evolve don't survive. And the pace is now accelerating even more dramatically because of new AI capabilities. Every one of your competitors has access to the similar agents, similar models, similar tools. The only differentiator is organizational speed to change. The company that can ask better questions, test faster, learn continuously, and evolve continuously will own every market. The company that moves at a slower pace or relies on larger traditional project-based big bang change will be disrupted by the company that sets themselves up to move in timelines measured in days or This is non-negotiable for anyone. The Fortune 500 reality. The Fortune 500 companies from 1980 that are still around did one thing. They continuously evolved. They didn't wait for disruption. They disrupted themselves. But the pace at which they had to evolve has accelerated dramatically. What took 5 years to change in 1980 now takes 6 months. What takes 6 months now will take a week in 3 years. And AI amplifies this. The companies that understand this, the ones that adopt continuous transformation now and build it into their operations today, they will be the Fortune 500 in 2035. The companies that don't will be acquired, disrupted, or dead. Make one change a week. Now, my current company is called Force Equals, and there's a reason for that. Force equals mass times acceleration, and force applied over time is a positive change in momentum. This is the physics and the core natural truth for any business. Think of mass as the size of your organization, so all your people, your systems, your customers, and everything you've built. Acceleration is how fast you can get all of that mass to make decisions and do things that change your business results. The more of your company you can get contributing and the increased speed you can get it to deliver impact, the greater force you can deliver in your market. And if you can sustain that over time, you gain momentum. The problem is the bigger your organization is, the harder it gets to get it all moving. You have to overcome organizational inertia and bureaucracy, politics and culture. You have to overcome all that to change and increase how much your company contributes and how fast they can contribute. So if you're a smaller organization, it's easier to get everything moving. But because of the limit on the starting point, the size of your team and your limited resources that are available, you have a different starting point. The mass is much smaller. So accelerated impact over time is the lever you have. Who wins? The company that adopts first wins. Period. Doesn't matter if you're 50 people or 50,000 people. It doesn't matter if you're in tech or manufacturing or financial services. It doesn't matter what industry you're in. What matters is, are you building for continuous transformation and continuous self-imposed disruption? The math is clear. The math is the same for both companies, whether your starting point is small or very large. The only question is execution. As a thought experiment, so where does a small company growing at 1% per day over 5 years that starts with $1 million cross a company that's a billion in revenue but growing at 200% a year? They cross at approximately 2 years, 4 months, 858 days. At that point, both are roughly $5.1 billion. Now, no company can sustain either of these rates in the real world indefinitely, but the math proves the point. Somewhere between half a percent and 1% daily improvement is enough to overtake a company 1,000 times your size within 5 years. Seems crazy. This is exactly how every AI startup like OpenAI and Anthropic beat Google in the AI race. This is how NVIDIA beat everyone in the AI chip race. This is how Tesla beat everyone in the automotive race. Consistent small changes deployed frequently beat large, slower project-based changes over time. The differentiator is enabling a flywheel for continuous change. The choice is clear. The only variable is execution speed, and the clock's ticking. If you're a small company, simple— get at it now. If I were you, and I am a small company, we need to get about 12 agents launched as fast as we can and then add about 2 per quarter until we have about 50 agents doing work. And at the same time, we need to build up the pace of actioning about one insight every other day on average across the company. And sustain that pace. That's a lot at first, but it's doable even for a very small team. If you're a large company, you need to change a lot to enable faster compounding change. You need to launch agents just as fast as you can, just like the smaller company. But you also need to speed up how you manage projects so you deliver in time frames measured in weeks instead of months or years. You must have close to zero manual tasks in your workflow. You must eliminate 90% of the meetings your members have across your business. You need to eliminate bureaucracy, flatten your org structure. Everything an agent can do in a business needs to be set up to be done by an AI agent. Keep your humans focused on decisions. That's also a ton to do, but it's also doable. If you're a big company, shoot for figuring out how to enable at least one real change every week. You need new agent technology to optimize your idea pipeline against your strategy so you can prioritize the right initiatives fast, and you need agents helping you collaborate, plan, and align stakeholders so it's not a manual document-heavy process to plan initiatives, attain project sign-offs and approvals. You need to hand off to development quicker. You need to let your developers leverage coding agents. You need to get projects live quicker and make impact quicker. And since most of the projects you launch will be agents, you need the right tools to safely govern and operate them so that you capture all the business signals from escalations and insights quicker, and that can flow back into your idea pipeline. 2 reasons. First, agents you launch won't be right the first time. They all will require maintenance and change. So don't worry about over-engineering them. Get them launched and ensure you have the business-focused guardrails at the agent level, over a group of agents in a workflow, and at the business unit or organizational level that ensure you keep them safe and controlled. But more importantly, so you can manage the escalations and route them to where expertise and authority merge so you can take action but also capture the learnings to help iteratively improve your agents, the business guardrails. But also, this brings us to the second topic. Each agent you launch will expose 10 new great ideas to consider. These need to be captured because these are likely the most important next set of bite-sized projects that will make a real impact on your business. And these tools all need to be connected— a full connected flywheel, insights feeding your ideas ideas colliding with your strategy so you can prioritize the right initiatives, so you gain momentum and efficient planning, so you can deliver faster with controlled agents that feed you intelligent escalations, actions, and insights that feed back into your idea cycle. That's the flywheel you need, and it has to all be connected. It all has to be in one place, one tool, and your team does not have these tools yet. And that's exactly why I built Force Equals. It's purpose-built to enable Transformation flywheel for an AI-enabled company. It's purpose-built for everything we discussed in this video in one connected workflow, entirely system and agent agnostic. We overlay what you already have in place and start helping you make it better continuously. Let me show you what that looks like inside my platform Force Equals. I built it to do all this for you so you can easily enable the full transformation loop. It's easy while also being robust, so it's capable for a complex enterprise but also. Easy and approachable for a small business. Check out the idea pipeline. These are insights automatically captured from your AI agents, and here are ideas from your team, customers, line of business, all in the same place. Our AI is already deciding how complex each project is and how much detail each part of the plan needs uniquely to each project idea. Agents expand the context automatically, build business cases. The agents make prioritization recommendations based based on your business strategy. Agents help you automatically plan, prototype the ideas, projects, and changes. Small projects and lots of projects for small businesses can be nearly completely automated, just enabling sign-offs on the prototypes with one click of a button, code ready for deployment, push live, or completely automated in our system. For larger projects and enterprises where planning governance is required, governance is enabling speed. It ensures stakeholders are identified, aligned fast, collaborating with risk Resources analyzed, thorough business cases, and all presentations and documents automatically created and maintained. The agents do 95% of the work, with the humans focusing just on the decisions and the approvals. Agents prevent hundreds of hours spent on unnecessary meetings on every project, plus hundreds of hours of manual work is completely eliminated in the planning process. For enterprises, this supercharges your PMO, your delivery team, and can radically speed up your ability ability to transform. Every approval gets tracked in one place so you can see who signed off and where work still needs to be completed and by who. And agents take the lead so you don't have to chase anyone one by one. All traceable, all accountable. So now all the coordination that used to take months to get done can be accomplished in a couple of weeks, and you hand off projects code-ready to developers so they can complete the last mile, getting you on a That's fast enough to deploy changes every week, real substantial changes every week. And because it's a loop, it doesn't stop the moment a change goes live. Once it's out there, you can see whether it did what you wanted because the agents you deploy as a result of your projects are already connected wherever they're built or run across your company. So they're connected so you can see cause and effect. And every agent's business level governance, escalation management, and signal capture comes right back into the loop. And that becomes the starting point for your next change. So every change you make sets up the next one, and your business keeps improving week after week. By the way, if you want to try out Force Equals for yourself, I'll leave a link at the top of the description where you can get started for free. Now you could try and coordinate every change manually across your teams, but if you want to get on the flywheel so your business can start identifying, prioritizing, and making changes on a continuous transformation flywheel so you can compete You can try FourSquares for free by clicking the first link in the description. You get agent operations, control, and escalation management at the business level, so you can take actions on changes and signals really fast. You get agent assistance, strategy, prioritization, planning, and delivery all in one connected system that overlays any of your current infrastructure. So again, you can get started with FourSquares for free by clicking the first link below this video. And if you want to know how to pick which changes to make first, then check out this next video.
