by Robyn Bolton | Nov 1, 2025 | Innovation, Leading Through Uncertainty
“Is this what the dinosaurs did before the asteroid hit?”
That was the first question I was asked at IMPACT, InnoLead’s annual gathering of innovation practitioners, experts, and service providers.
It was also the first of many that provided insight into what’s on innovators and executives’ minds as we prepare for 2026
How can you prevent failure from being weaponized?
This is both a direct quote and a distressing insight into the state of corporate life. The era of “fail fast” is long gone and we’re even nostalgic for the days when we simply feared failure. Now, failure is now a weapon to be used against colleagues.
The answer is neither simple nor quick because it comes down to leadership and culture. Jit Kee Chin, Chief Technology Officer at Suffolk Construction, explained that Suffolk is able to stop the weaponization of failure because its Chairman goes to great lengths to role model a “no fault” culture within the company. “We always ask questions and have conversations before deciding on, judging, or acting on something,” she explained
How do you work with the Core Business to get things launched?
It’s long been innovation gospel that teams focused on anything other than incremental innovation must be separated, managerially and physically, from the core business to avoid being “infected” by the core’s unquestioning adherence to the status quo.
The reality, however, is the creation of Innovation Island, where ideas are created, incubated, and de-risked but remain stuck because they need to be accepted and adopted by the core business to scale.
The answer is as simple as it is effective: get input and feedback during concept development, find a core home and champion as your prototype, and work alongside them as you test and prepare to launch.
How do you organize for innovation?
For most companies, the residents of Innovation Island are a small group of functionally aligned people expected to usher innovations from their earliest stages all the way to launch and revenue-generation.
It may be time to rethink that.
Helen Riley, COO/CFO of Google X, shared that projects start with just one person working part-time until a prototype produces real-world learning. Tom Donaldson, Senior Vice President at the LEGO Group, explained that rather than one team with a large mandate, LEGO uses teams specially created for the type and phase of innovation being worked on.
What are you doing about sustainability?
Honestly, I was surprised by how frequently this question was asked. It could be because companies are combining innovation, sustainability, and other “non-essential” teams under a single umbrella to cut costs while continuing the work. Or it could be because sustainability has become a mandate for innovation teams.
I’m not sure of the reason and the answer is equally murky. While LEGO has been transparent about its sustainability goals and efforts, other speakers were more coy in their responses, for example citing the percentage of returned items that they refurbish or recycle but failing to mention the percentage of all products returned (i.e. 80% of a small number is still a small number).
How can humans thrive in an AI world?
“We’ll double down,” was Rana el Kaliouby’s answer. The co-founder and managing partner of Blue Tulip Ventures and host of Pioneers of AI podcast, showed no hesitation in her belief that humans will continue to thrive in the age of AI.
Citing her experience listening to Radiotopia Presents: Bot Love, she encouraged companies to set guardrails for how, when, and how long different AI services can be used. She also advocated for the need for companies to set metrics that go beyond measuring and maximizing usage time and engagement to considering the impact and value created by their AI-offerings.
What questions do you have?
by Robyn Bolton | Oct 13, 2025 | Innovation, Leading Through Uncertainty
As a kid, you’re taught that when you’re lost, stay put and wait for rescue. Most executives are following that advice right now—sitting tight amid uncertainty, hoping someone saves them from having to make hard choices and take innovation risk.
This year’s Nobel Prize winners in Economics have bad news: there is no rescue coming. Joel Mokyr, Philippe Aghion, and Peter Howitt demonstrated that disruption happens whether you participate or not. Freezing innovation investments doesn’t reduce innovation risk. It guarantees competitors destroy you while you stand still.
They also have good news: innovation follows predictable patterns based on competitive dynamics, offering a framework for making smarter investment decisions.
How We Turned Stagnation into a System for Growth
For 99.9% of human history, economic growth was essentially zero. There were occasional bursts of innovation, like the printing press, windmills, and mechanical clocks, but growth always stopped.
200 years ago, that changed. Mokyr identified that the Industrial Revolution created systems connecting two types of knowledge: Propositional knowledge (understanding why things work) and Prescriptive knowledge (practical instructions for how to execute).
Before the Industrial Revolution, these existed separately. Philosophers theorized. Artisans tinkered. Neither could build on the other’s work. But the Enlightenment created feedback loops between theory and practice allowing countries like Britain to thrive because they had people who could translate theory into commercial products.
Innovation became a system, not an accident.
Why We Need Creative Destruction
Every year in the US, 10% of companies go out of business and nearly as many are created. This phenomenon of creative destruction, where companies and jobs constantly disappear and are replaced, was identified in 1942. Fifty years later, Aghion and Howitt built a mathematical model proving its required for growth.
Their research also lays bare some hard truths:
- Creative destruction is constant and unavoidable. Cutting your innovation budget does not pause the game. It forfeits your position. Competitors are investing in R&D right now and their innovations will disrupt yours whether you participate or not.
- Competitive position predicts innovation investments. Neck-to-neck competitors invest heavily in innovation because it’s their only path to the top. Market leaders cut back and coast while laggards don’t have the funds to catch-up. Both under-invest and lose.
- Innovation creates winners and losers. Creative destruction leads to job destruction as work shifts from old products and skills to new ones. You can’t innovate and protect every job but you can (and should) help the people affected.
Ultimately, creative destruction drives sustained growth. It is painful and scary, but without it, economies and society stagnate. Ignore it at your peril. Work with it and prosper.
From Prize-winning to Revenue-generating
Even though you’re not collecting the one million Euro prize, these insights can still boost your bottom line if you:
- Connect your Why teams with your How teams. Too often, Why teams like Strategy, Innovation, and R&D, chuck the ball over the wall to the How teams in Operations, Sales, Supply Chain, and front-line operations. Instead, connect them early and often and ensure the feedback loop that drives growth
- Check your R&D and innovation investments. Are your R&D and innovation investments consistent with your strategic priorities or your competitive position? What are your investments communicating to your competitors? It’s likely that that “conserving cash” is actually coasting and ceding share.
- Invest in your people and be honest with them. Your employees aren’t dumb. They know that new technologies are going to change and eliminate jobs. Pretending that won’t happen destroys trust and creates resistance that kills innovation. Tell employees the truth early, then support them generously through transitions.
What’s Your Choice?
Playing it safe guarantees the historical default: stagnation. The 2025 Nobel Prize winners proved sustained growth requires building innovation systems and embracing creative destruction.
The only question is whether you will participate or stagnate.
by Robyn Bolton | Oct 6, 2025 | 5 Questions, Customer Centricity, Innovation, Tips, Tricks, & Tools
For decades, we’ve faithfully followed innovation’s best practices. The brainstorming workshops, the customer interviews, and the validated frameworks that make innovation feel systematic and professional. Design thinking sessions, check. Lean startup methodology, check. It’s deeply satisfying, like solving a puzzle where all the pieces fit perfectly.
Problem is, we’re solving the wrong puzzle.
As Ellen Di Resta points out in this conversation, all the frameworks we worship, from brainstorming through business model mapping, are business-building tools, not idea creation tools.
Read on to learn why our failure to act on the fundamental distinction between value creation and value capture causes too many disciplined, process-following teams to create beautiful prototypes for products nobody wants.
Robyn: What’s the one piece of conventional wisdom about innovation that organizations need to unlearn?
Ellen: That the innovation best practices everyone’s obsessed with work for the early stages of innovation.
The early part of the innovation process is all about creating value for the customer. What are their needs? Why are their Jobs to be Done unsatisfied? But very quickly we shift to coming up with an idea, prototyping it, and creating a business plan. We shift to creating value for the business, before we assess whether or not we’ve successfully created value for the customer.
Think about all those innovation best practices. We’ve got business model canvas. That’s about how you create value for the business. Right? We’ve got the incubators, accelerators, lean, lean startup. It’s about creating the startup, which is a business, right? These tools are about creating value for the business, not the customer.
R: You know that Jobs to be Done is a hill I will die on, so I am firmly in the camp that if it doesn’t create value for the customer, it can’t create value for the business. So why do people rush through the process of creating ideas that create customer value?
E: We don’t really teach people how to develop ideas because our culture only values what’s tangible. But an idea is not a tangible thing so it’s hard for people to get their minds around it. What does it mean to work on it? What does it mean to develop it? We need to learn what motivates people’s decision-making.
Prototypes and solutions are much easier to sell to people because you have something tangible that you can show to them, explain, and answer questions about. Then they either say yes or no, and you immediately know if you succeeded or failed.
R: Sounds like it all comes down to how quickly and accurately can I measure outcomes?
E: Exactly. But here’s the rub, they don’t even know they’re rushing because traditional innovation tools give them a sense of progress, even if the progress is wrong.
We’ve all been to a brainstorm session, right? Somebody calls the brainstorm session. Everybody goes. They say any idea is good. Nothing is bad. Come up with wild, crazy ideas. They plaster the walls with 300 ideas, and then everybody leaves, and they feel good and happy and creative, and the poor person who called the brainstorm is stuck.
Now what do they do? They look at these 300 ideas, and they sort them based on things they can measure like how long it’ll take to do or how much money it’ll cost to do it. What happens? They end up choosing the things that we already know how to do! So why have the brainstorm?”
R: This creates a real tension: leadership wants progress they can track, but the early work is inherently unmeasurable. How do you navigate that organizational reality?
E: Those tangible metrics are all about reliability. They make sure you’re doing things right. That you’re doing it the same way every time? And that’s appropriate when you know what you’re doing, know you’re creating value for the customer, and now you’re working to create value for the business. Usually at scale
But the other side of it? That’s where you’re creating new value and you are trying to figure things out. You need validity metrics. Are we doing the right things? How will we know that we’re doing the right things.
R: What’s the most important insight leaders need to understand about early-stage innovation?
E: The one thing that the leader must do is run cover. Their job is to protect the team who’s doing the actual idea development work because that work is fuzzy and doesn’t look like it’s getting anywhere until Ta-Da, it’s done!
They need to strategically communicate and make sure that the leadership hears what they need to hear, so that they know everything is in control, right? And so they’re running cover is the best way to describe it. And if you don’t have that person, it’s really hard to do the idea development work.”
But to do all of that, the leader also must really care about that problem and about understanding the customer.
We must create value for the customer before we can create value for the business. Ellen’s insight that most innovation best practices focus on the latter is devastating. It’s also essential for all the leaders and teams who need results from their innovation investments.
Before your next innovation project touches a single framework, ask yourself Ellen’s fundamental question: “Are we at a stage where we’re creating value for the customer, or the business?” If you can’t answer that clearly, put down the canvas and start having deeper conversations with the people whose problems you think you’re solving.
To learn more about Ellen’s work, check out Pearl Partners.
To dive deeper into Ellen’s though leadership, visit her Substack – Idea Builders Guild.
To break the cycle of using the wrong idea tools, sign-up for her free one-hour workshop.
by Robyn Bolton | Aug 20, 2025 | AI, Metrics
Sometimes, you see a headline and just have to shake your head. Sometimes, you see a bunch of headlines and need to scream into a pillow. This week’s headlines on AI ROI were the latter:
- Companies are Pouring Billions Into A.I. It Has Yet to Pay Off – NYT
- MIT report: 95% of generative AI pilots at companies are failing – Forbes
- Nearly 8 in 10 companies report using gen AI – yet just as many report no significant bottom-line impact – McKinsey
AI has slipped into what Gartner calls the Trough of Disillusionment. But, for people working on pilots, it might as well be the Pit of Despair because executives are beginning to declare AI a fad and deny ever having fallen victim to its siren song.
Because they’re listening to the NYT, Forbes, and McKinsey.
And they’re wrong.
ROI Reality Check
In 20205, private investment in generative AI is expected to increase 94% to an estimated $62 billion. When you’re throwing that kind of money around, it’s natural to expect ROI ASAP.
But is it realistic?
Let’s assume Gen AI “started” (became sufficiently available to set buyer expectations and warrant allocating resources to) in late 2022/early 2023. That means that we’re expecting ROI within 2 years.
That’s not realistic. It’s delusional.
ERP systems “started” in the early 1990s, yet providers like SAP still recommend five-year ROI timeframes. Cloud Computing“started” in the early 2000s, and yet, in 2025, “48% of CEOs lack confidence in their ability to measure cloud ROI.” CRM systems’ claims of 1-3 years to ROI must be considered in the context of their 50-70% implementation failure rate.
That’s not to say we shouldn’t expect rapid results. We just need to set realistic expectations around results and timing.
Measure ROI by Speed and Magnitude of Learning
In the early days of any new technology or initiative, we don’t know what we don’t know. It takes time to experiment and learn our way to meaningful and sustainable financial ROI. And the learnings are coming fast and furious:
Trust, not tech, is your biggest challenge: MIT research across 9,000+ workers shows automation success depends more on whether your team feels valued and believes you’re invested in their growth than which AI platform you choose.
Workers who experience AI’s benefits first-hand are more likely to champion automation than those told, “trust us, you’ll love it.” Job satisfaction emerged as the second strongest indicator of technology acceptance, followed by feeling valued. If you don’t invest in earning your people’s trust, don’t invest in shiny new tech.
More users don’t lead to more impact: Companies assume that making AI available to everyone guarantees ROI. Yet of the 70% of Fortune 500 companies deploying Microsoft 365 Copilot and similar “horizontal” tools (enterprise-wide copilots and chatbots), none have seen any financial impact.
The opposite approach of deploying “vertical” function-specific tools doesn’t fare much better. In fact, less than 10% make it past the pilot stage, despite having higher potential for economic impact.
Better results require reinvention, not optimization: McKinsey found that call centers that gave agents access to passive AI tools for finding articles, summarizing tickets, and drafting emails resulted in only a 5-10% call time reduction. Centers using AI tools to automate tasks without agent initiation reduced call time by 20-40%.
Centers reinventing processes around AI agents? 60-90% reduction in call time, with 80% automatically resolved.
How to Climb Out of the Pit
Make no mistake, despite these learnings, we are in the pit of AI despair. 42% of companies are abandoning their AI initiatives. That’s up from 17% just a year ago.
But we can escape if we set the right expectations and measure ROI on learning speed and quality.
Because the real concern isn’t AI’s lack of ROI today. It’s whether you’re willing to invest in the learning process long enough to be successful tomorrow.
by Robyn Bolton | Aug 13, 2025 | Speaking
