Why Learning While Doing Is Now a Leadership Imperative
By Tony Bynum, MBA, MDM
February 24, 2026
For most of the 20th century, business success followed a predictable trajectory: build scale, integrate operations, optimize for efficiency, and outrun the competition. The metrics were clear. The path was visible. Execution mattered more than innovation.
That model broke somewhere between the dot-com boom and the Great Recession, and what replaced it looks nothing like the world most leadership playbooks were written for.
Sprinkle this on top: 39 percent of core job skills will change by 2030, according to the World Economic Forum’s 2025 Future of Jobs Report.
This isn’t gradual evolution; it’s a wholesale transformation of how work and success happen.
Image Credit: F1 The Movie (Apple TV, 2025)
Welcome to the New Race
Today’s leaders aren’t racing down a straightaway with clear sight lines. They’re navigating a course that changes mid-race, with blind curves, sudden detours, and competitors emerging from adjacent industries unencumbered by ingrained orthodoxies.
Easy access to capital has lowered barriers to entry. Rapid technological shifts compress innovation cycles. Customer expectations evolve in real time while global political volatility reshapes supply chains literally overnight.
And then there’s AI: simultaneously an intern, a trusted co-pilot, and your potential replacement. It’s the naive, omnipresent know-it-all who has your boss’s ear and the potential to make obsolete the decades of experience you’ve earned.
In this environment, in this new race, scaling quickly still matters, but agility matters more.
When Pit Stops Cost You the Race
In Formula 1, pit stops are strategic weapons. Teams pull off the track at precisely calculated moments to refuel, change tires, and make adjustments, often gaining position in the process. That strategy works because everyone competes on the same track, against known competitors, and has algorithmic insight into what each competitor will do next.
Evolution of F1 Pit Stops (1990–2023)
The evolution of Formula 1 pit stops from 1990 to 2023 is a fascinating example of technological advancement, human skill, and strategic innovation.
This is not the business environment we are navigating today.
You’re not always racing the same competitors on the same course. New entrants emerge from adjacent industries. Technologies leapfrog rather than incrementally improve. Customer expectations shift faster than product roadmaps can adapt.
The traditional learning models, conferences, certificates, and classroom training assume you can afford to make a pit stop. Pull your best people off the track, send them to a workshop, and hope the learning transfers when they return.
But here’s what that model actually costs:
You’re not just losing time when you pull people into training. You’re losing momentum, market position, and the ability to respond to forces that don’t wait for your learning cycle to complete.
What Is Kinetic Learning?
Kinetic learning is the organizational capacity to build new capabilities while maintaining operational velocity.
It’s not training that happens between initiatives. It’s development that’s embedded within the work itself, using live projects as the curriculum, real challenges as the practice ground, and business outcomes as the measure of adoption. It’s building capability at operational speed.
Models for Kinetic Learning
How Can Leading Organizations Build Capability at Speed?
The organizations pulling ahead aren’t the ones with the most training programs. They’re the ones who have figured out how to develop capability without interrupting execution.
JPMorgan Chase: Scaling AI Without Stopping
Rather than pulling 60,000 employees offline for AI training, JPMorgan Chase created role-based “AI academies” where teams learn new capabilities by applying them to their current workflows.
Loan officers practice AI-assisted credit analysis on real applications. Fraud analysts test machine learning models against live transaction data. Risk managers build predictive capabilities while managing actual portfolios.
The learning doesn’t pause the work; it accelerates it.
BMW Group: Retooling During Production
As BMW shifted to electric vehicle production, it didn’t shut down factories for wholesale retraining. Instead, they embedded learning into product development cycles.
Teams mastered cloud infrastructure, data analytics, and over-the-air update capabilities while developing current models. Engineers learned new powertrain technologies by designing them. Software teams built competencies in real-time vehicle intelligence while shipping current platforms.
The result: A retooled workforce without a stalled product pipeline.
Novartis: Building Capability Through Live Clinical Work
Novartis runs data academies where clinicians and statisticians learn advanced analytics while actively designing clinical trials.
They practice new techniques on real datasets. Test AI-powered site selection on actual studies. Build digital monitoring capabilities while trials are running.
Skills aren’t acquired in isolation, they’re built through application in regulatory-sensitive environments where the stakes demand precision.
Aflac: Learning Through Customer Service
In insurance, frontline staff learn omnichannel experience design while servicing customers in real time.
They don’t attend separate training on AI-powered tools, automation, and digital channels. They learn by using these capabilities with actual customers, receiving coaching and reflection built into their workflow.
The capability gap closes as customer needs are being met, not afterward.
What Does Kinetic Learning Look Like in Practice?
Organizations across industries—JPMorgan Chase, BMW Group, Novartis, and Aflac—realize they can’t afford to stop and retool. They need to build capability as they move forward.
Organizations that practice kinetic learning don’t require wholesale transformation, but they do need intentional design.
They share five operational characteristics—
Teams develop capabilities by applying them to real business challenges, not through abstracted case studies or simulations.
When a cross-functional team builds a new digital platform, they practice collaborative design, rapid prototyping, and systems thinking in a live environment.
In racing terms: You learn to take corners faster by racing, not by studying track maps.
Northwestern Mutual launched new digital platforms to transform team collaboration. Shared frameworks, decision criteria, and coordination methods became organizational muscle memory. Single projects deliver outcomes, while kinetic learning delivers outcomes and faster delivery next time.
As design capabilities extend beyond design teams to engineering, operations, and strategy, organizations develop the fluency to spot opportunities and coordinate swiftly. Cross-functional teams adopt a common language of human needs, system dynamics, and rapid experimentation, akin to the precise communication between an F1 driver and strategist. This shared fluency ensures everyone interprets data the same way, understands signals, and can coordinate complex decisions under pressure.
In kinetic learning environments, synthesis is built into the work rhythm. Teams pause for micro-retrospectives, share insights, and continuously refine their approach. These real-time adjustments are like a driver refining brake performance mid-race to account for tire degradation and track evolving conditions.
Learning becomes a strategic lever, not a nice-to-have.
Formula 1 teams don’t only race, they test. They dedicate practice sessions to experiments that might fail but could unlock performance gains.
Similarly, organizations practicing kinetic learning build bandwidth for rapid experimentation. They run small pilots, test new approaches on non-critical projects, and give teams permission to fail fast and iterate.
These aren’t distractions from “real work,” they’re investments in remaining competitive as conditions change.
Why the Institute of Design Executive Academy?
For more than 85 years, the Institute of Design has pioneered learning-by-doing - a tradition rooted in the Bauhaus and refined through decades of design education and organizational transformation work.
We don’t teach design as theory. We practice it as capability.
Our Approach: Work-Integrated Learning
Our programs help organizations build design-driven capabilities - human-centered research, systems thinking, rapid prototyping, collaborative decision-making - through the challenges you’re already facing.
✓ Your team’s current initiatives become the training ground.
✓ Your business objectives become the curriculum.
✓ Your organizational context becomes the lab.
We embed learning directly into your workflow. Participants develop new mindsets and methods while working on projects that matter to your business. Faculty and practitioner coaches work alongside your teams, not in separate classrooms.
What Do You Gain By Working With the ID Executive Academy?
Our partners gain organizational dexterity.
Teams equipped with dexterity can perform today’s job while designing tomorrow’s organization.
Their leaders can execute with excellence and adapt with purpose.
These organizations don’t have to choose between delivering now and transforming for what’s next.
Note: This is not a training program.
This is what we offer: a work-integrated education in organizational dexterity for your whole team.
It’s the only sustainable advantage in a race that never stops changing.
Ready to Learn at Racing Speed?
We don’t ask you to pull into the pit.
We help you build capability while you race.