You know the stories. Kodak developed a digital camera in the 1970s, but its images weren’t as good as film images, so it ended the project. Decades later, that decision ended Kodak. Blockbuster was given the chance to buy Netflix but declined due to its paltry library of titles (and the absence of late fees). A few years later, that decision led to Blockbuster’s decline and demise. Now, in the age of AI, disruption may be about to claim another victim – Google.
A very brief history of Google’s AI efforts
In 2017, Google Research invented Transformer, a neural network architecture that could be trained to read sentences and paragraphs, pay attention to how the words relate to each other, and predict the words that would come next.
In 2020, Google developed LaMDA, or Language Model for Dialogue Applications, using Transformer-based models trained on dialogue and able to chat.
Three years later, Google began developing its own conversational AI using its LaMDA system. The only wrinkle is that OpenAI launched ChatGPT in November 2022.
“In early 2023, months after the launch of OpenAI’s groundbreaking ChatGPT, Google was gearing up to launch its competitor to the model that underpinned the chatbot.
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The search company had been testing generative AI software internally for several months by then. But as the company rallied its resources, multiple competing models emerged from different divisions within Google, vying for internal attention.”
That last sentence is worrying. Competition in the early days of innovation can be great because it pushes people to think differently, ask tough questions, and take risks. But, eventually, one solution should emerge as superior to the others so you can focus your scarce resources on refining, launching, and scaling it. Multiple models “vying for internal attention” so close to launch indicate that something isn’t right and about to go very wrong.
“None was considered good enough to launch as the singular competitor to OpenAI’s model, known as ChatGPT-4. The company was forced to postpone its plans while it tried to sort through the scramble of research projects. Meanwhile, it pushed out a chatbot, Bard, that was widely viewed to be far less sophisticated than ChatGPT.”
Nothing signals the threat of disruption more than “good enough.” If Google, like most incumbent companies, defined “good enough” as “better than the best thing out there,” then it’s no surprise that they wouldn’t want to launch anything.
What’s weird is that instead of launching one of the “not good enough” models, they launched Bard, an obviously inferior product. Either the other models were terrible (or non-functional), or different people were making different decisions to achieve different definitions of success. Neither is a good sign.
“When Google’s finished product, Gemini, was finally ready nearly a year later, it came with flaws in image generation that CEO Sundar Pichai called ‘completely unacceptable’ – a let-down for what was meant to be a demonstration of Google’s lead in a key new technology.”
“A let-down” is an understatement. You don’t have to be first. You don’t have to be the best. But you also shouldn’t embarrass yourself. And you definitely shouldn’t launch things that are “completely unacceptable.”
What happens next?
Disruption takes a long time and doesn’t always mean death. Blackberry still exists, and integrated steel mills, one of Clayton Christensen’s original examples of disruption, still operate.
AI, LLMs, and LaMDAs are still in their infancy, so it’s too early to declare a winner. Market creation and consumer behavior change take time, and Google certainly has the knowledge and resources to stage a comeback.
Except that that knowledge may be their undoing. Companies aren’t disrupted because their executives are idiots. They’re disrupted because their executives focus on extending existing technologies and business models to better serve their best customers with higher-profit offerings. In fact, Professor Christensen often warned that one of the first signs of disruption was a year of record profits.
In 2021, Google posted a profit of $76.033 billion. An 88.81% increase from the previous year.
2022 and 2023 profits have both been lower.
Image credit: Unsplash
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It’s easy to get caught up in the hunt for unique insights that will transform your business, conquer your competition, and put you on an ever-accelerating path to growth. But sometimes, the most valuable insights can come from listening to customers in their natural environment. That’s precisely what happened when I eavesdropped on a conversation at a local pizza joint. What I learned could be worth millions to your business.
A guy walked into a pizza place.
Last Wednesday, I met a friend for lunch. As usual, I was unreasonably early to the local wood-fired pizza joint, so I settled into my chair, content to spend time engaged in one of my favorite activities – watching people and eavesdropping on their conversations.
Although the restaurant is on the main street of one of the wealthier Boston suburbs, it draws an eclectic crowd, so I was surprised when a rather burly man in a paint-stained hoodie flung open the front door. As he stomped to the take-out order window, dust fell from his shoes, and you could hear the clanging of tools in his tool belt. He placed his order and thumped down at the table next to me.
A Multi-Million Dollar Chat
He pulled out his cell phone and made a call. “Hey, yeah, I’m at the pizza place, and they need your help. Yeah, they hate their current system, but they don’t have the time to figure out a new one or how to convert. Yeah, ok, I’ll get his number. Ok if I give him yours. Great. Thanks.”
A few minutes later, his order was ready, and the manager walked over with his pizza.
Hoodie-guy: “Hey, do you have a card?”
Manager: “No, I don’t. Something I can help you with?”
H: “I just called a friend of mine. He runs an IT shop, and I told him you’re using the RST restaurant management system, and you hate it…”
M: “I hate it so much…”
H: “So my buddy’s business can help you change it. He’s helped other restaurants convert away from RST, and he’d love to talk to you or the owner.”
M: “I’m one of the co-owners, and I’d love to stop using RST, but we use it for everything – our website, online ordering, managing our books, everything. I can’t risk changing.”
H: “That’s the thing, my friend does it all for you. He’ll help you pick the new system, set it up, migrate you from the other system, and ensure everything runs smoothly. You have nothing to worry about.”
M: “That would be amazing. Here’s my direct line. Have him give me a call. And if he’s good, I can guarantee you that every other restaurant on this street will change, too. We all use RST, and we all hate it. We even talked about working together to find something better, but no one had time to figure everything out.”
They exchanged numbers, and the hoodie guy walked out with his pizza. The manager/owner walked back to the open kitchen, told his staff about the conversation, and they cheered. Cheered!
Are You Listening?
In just a few minutes of eavesdropping, I uncovered a potential goldmine for a B2B business – 15 frustrated customers, all desperate to switch from a system they hate but unable to do so due to time and resource constraints. The implications are staggering – an entire local market worth tens of millions of dollars ripe for the taking simply by being willing to listen and offer a solution.
As a B2B leader, the question is: are you truly tapping into the insights right in front of you? When was the last time you left your desk, observed your customers in their natural habitat, and listened to their unvarnished feedback? If you’re not doing that, you’re missing out on opportunities that could transform your business.
The choice is yours. Will you stay in your office and rely on well-worn tools, or venture into the wild and listen to your customers? Your answer could be worth millions.
Image credit: Pixabay
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“But even more importantly, our employees were working from home for two and a half years. And in hindsight, it turns out, it’s really hard to do bold, disruptive innovation, to develop a boldly disruptive shoe on Zoom.” – John Donahoe, Nike CEO
I am so glad CNBC’s interview with Nike’s CEO didn’t hit my feed until Friday afternoon. It sent me into a rage spiral that I am just barely emerging from. Seriously, I think my neighbors heard the string of expletives I unleashed after reading that quote, and it wasn’t because it was a lovely day and the windows were open.
Blaming remote work for lack of innovation is cowardly. And factually wrong.
I’m not the only one giving Mr. Donahoe some side-eye for this comment. “There were a whole bunch of brands who really thrived during and post-pandemic even though they were working remotely,” Matt Powell, advisor for Spurwink River and a senior advisor at BCE Consulting, told Footwear News. “So I’m not sure that we that we can blame remote work here on Nike’s issues.”
There’s data to back that up.
In 2023, Mark (Shuai) Ma, an associate professor at the University of Pittsburgh, and Yuye Ding, a PhD student at the university’s Katz Graduate School of Business, set out to empirically determine the causes and effects of a firm’s decision to mandate a return to work (RTO). They collected RTO mandate data from over 100 firms in the S&P 500, worked backward to identify what drove the decision, and monitored and measured the firm’s results after employees returned to work.
Their findings are stark: no significant changes in financial performance for firm value after RTO mandates and significant declines in employee job satisfaction. As Ma told Fortune, “Overall, our results do not support these mandates to increase firm values. Instead, these findings are consistent with managers using RTO mandates to reassert control over employees and blame employees as a scapegoat for firm bad performance.”
Or to justify spending more than $1B to double the size of its Beaverton, OR campus.
When you start blaming employees, you stop being a leader.
CEOs make and approve big, impactful, complex, high-stakes decisions. That’s why they get paid the big bucks. It’s also why, as Harry Truman said, “The buck stops here.”
Let’s examine some of the decisions Mr. Donahue made or supported that maybe (definitely) had a more significant impact on innovation than working from home two days a week.
Ignoring customers, consumers, and the market: Nike has a swagger that occasionally strays into arrogance. They set trends, steer culture, and dictate the rules of the game. They also think that gives them the right to stop listening to athletes, retailers, and consumers, as evidenced by the recently revealed Team USA Track & Field uniforms, the decision to stop selling through major retailers like Macy’s and Olympia Sports, and invest more in “hype, limited releases, and old school retro drops” than the technology and community that has consumers flocking to smaller brands like Hoka and Brooks.
Laying off 2% of its workforce: Anyone who has ever been through a layoff senses it’s coming months before the announcement and the verdicts are rendered. Psychological safety, feeling safe in your environment, is a required element for risk-taking and innovation. It’s hard to feel safe when saying goodbye to 1500 colleagues (and wondering if/when you’ll join them).
Investing too much in the core: Speaking of safety, in uncertain times, it’s tempting to pour every resource into the core business because the ROI is “known.” Nike gave in to that temptation, and consumers and analysts noticed. Despite recent new product announcements like the Air Max DN, Pegasus Premium, and Pegasus 41, “analysts point out these ‘new’ innovations rely too much on existing franchises.”
Innovation is a leadership problem that only leaders can solve
Being a CEO or any other senior executive is hard. The past four years have been anything but ordinary, and running a business while navigating a global pandemic, multiple societal upheavals, two wars, and an uncertain economy is almost impossible.
Bosses blame. Leaders inspire.
Mr. Donohue just showed us which one he is. Which one are you?
One MORE thing
This is a losing battle, but STOP USING “DISRUPTIVE” INCORRECTLY!!!! “Disruptive Innovation,” as defined by Clayton Christensen, who literally coined the phrase, is an innovation that appeals to non-consumers and is cheaper and often lower quality than existing competitors.
Nike is a premium brand that makes premium shoes for premium athletes. Employees could spend 24/7/365 in the office, and Nike would never develop and launch a “boldly disruptive shoe.”
Image credit: Pixabay
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How to Embrace Agile Leadership to Innovate at Speed
GUEST POST from Diana Porumboiu
In a world dominated by uncertainty, how can we prepare for the unpredictable and keep innovating in what seems like a highly chaotic environment?
We simply need to be faster in adapting to change and navigating uncertainty. Studies show that organizations that move faster achieve significantly better results across various metrics, including profitability, operational resilience, organizational health, and growth.
How to make sure your organization is fast enough? Innovation at speed is more relevant than ever, but someone must put the pedal to the metal. Typically, that someone has to be a leader, because in the face of unprecedented change, leaders are needed to get us through the transformation.
However, unless organizations rethink leadership, they won’t be able to innovate systematically. In this day and age, great leadership requires a different mindset and a new approach to drive innovation and keep pace with change. We call this agile leadership.
This article, the second in the series dedicated to Agile Innovation Management, explores the critical role of agile leadership in innovating at speed.
Discover the key challenges and misconceptions surrounding the topic and understand why many leaders struggle with it. We’ll also provide practical steps and examples that will hopefully inspire you to increase the agility of your organization.
From Old Leadership Models to Agile Leadership
Let’s begin by clarifying what we mean by agile leadership and its position in relation to established leadership models.
The history of leadership traces back to Frederick Winslow Taylor, American engineer renown for his methods aimed at enhancing efficiency and productivity. Innovative at his time for shaping industrial management, his legacy still lives on today.
Unfortunately, his methods are not adapted for this century. Despite this, many leaders and managers still adhere to “Taylorism”, a top-down approach where leaders make the decisions and plans, and employees are tasked with executing them.
This model conflicts with the flexible and adaptable mindset required for agility. The gap between employees and Taylorist leaders trying to implement agile practices often leads to frustration and inefficiency.
Even if they introduce squads and sprints, Taylorists maintain a top-down approach, telling people what to do and how.
For successful agile transformations, you need to move away from rigid, outdated models. As we saw in the ING examplepresented in the “Guide to Business Agility” article, simply copying other companies without suitable leadership will not produce the desired outcomes. Therefore, fundamental change is needed.
True agile leadership allows for rapid decision making, resilience, adaptability and innovation. It requires leaders to embrace new ideas, offer clear direction without micromanaging, and create a culture that supports speed and innovation.
Agile leadership is about rapid decision making, resilience, adaptability and innovation.
It’s also important to remember that managers and leaders are not the same. Leadership goes beyond overseeing a group and delivering desired outcomes.
As Seth Godin stated in his “Leadership vs Management” speech, “managers do things right, leaders do the right things”.
While it would be ideal for all managers to cultivate leadership skills, the reality is that their primary focus is on increasing efficiency and productivity within their domains, often overlooking the broader picture. Such skills are essential in leading people, lifting them up and empowering them to become agile, innovative problem solvers.
Despite the progress of AI and technology automating mundane tasks, we still need leaders capable of making decisions that address both present and future challenges. Effective agile leaders should be able to navigate failure and complexities, and map a way to move forward.
To succeed, we need to hone in on critical thinking and those often overlooked “soft skills” like navigating tough conversations, giving and receiving feedback, and showing empathy. No matter where you fall on the org chart, mastering these skills can be the game-changer between just getting by and achieving excellence.
While agile leadership might not be about the “Agile” way, being familiar with the agile values and principles can be useful on a practical level.
For example, the authors of Doing Agile Right help leadership teams shift to agile methods by tailoring the Agile Manifesto’s core values to fit their unique situations. It’s about adapting and making it work for you.
Viima design created from Doing Agile Right: Transformation Without Chaos
To give another example, think of the principle of self-organizing teams. It’s important to know how to build self-organizing teams that thrive, collaborate and continuously learn from each other through continuous feedback and transparent communication.
We’ve seen this time and again in how teams use Viima to collaborate on their ideas, assess, prioritize and develop those that have been discussed openly. We noticed that most successful projects created using Viima have strong leadership too.
But moving away from the practical details to the bigger picture, how much can leaders influence the speed of innovation at an organizational level?
Can Agile Leadership Drive Innovation?
We established in The Guide to Agile Innovation Management that agility enables innovation by embracing experimentation and learning, implementing adaptive planning processes, emphasizing cross-functional collaboration and bringing together diverse perspectives and expertise.
All these elements would not be possible without the guidance of a great leader. So how can a good agile leader unlock innovation in an organization?
Adapting fast by building trust
Agility in leadership is about adapting to changing environments quickly, often under the pressure of performance.
However, this can have negative consequences. The Work Trend Index from Microsoft surveyed over 20,000 people across 11 countries and found that half of them reported experiencing burnout. Although 83% of employees claimed to be productive, only 12% of leaders felt confident their teams were genuinely productive.
To build trust and participation in feedback systems, leaders should regularly share what they’re hearing, how they’re responding, and why. — Work Trend Index 2022
As a leader, offering support and trust can help balance the pressure of performance. Including people in the organization’s narrative and showing them where they fit in helps build trust and provides a sense of purpose.
This sense of purpose encourages people to commit, learn, grow, improve, and innovate. Which brings us to the next point: agile leadership nurtures not only the ability but also the willingness of people to innovate.
Speed requires commitment
Many large firms still rely on outdated “industrial-era management” models. These models focus on hierarchical organizational charts, emphasizing static reporting relationships.
In such environments, it can be extremely difficult for ideas and initiatives to navigate through the many layers of hierarchy and reach the right decision-makers. If they do make it through, the process takes so long that the opportunity may be lost by the time an idea reaches approval.
This approach can lead to a culture with limited transparency and collaboration across teams and departments, along with an attitude of “every man for himself.”
It’s no surprise that over 70% of workforce is disengaged or quietly quitting, which significantly stifles an organization’s ability to innovate. When employees lack motivation, everything slows down. But when there is a sense of ownership and pride, there is higher commitment.
An agile leader fosters a sense of community and nurtures people’s commitment and dedication. This leads to speed and adaptability.
While the right mindset is crucial, using the right tools can also help build trust and promote collaboration. Many leaders use Viima to create processes that enhance idea sharing at all levels, collaboration and trust. They can provide feedback and follow up on people’s ideas in a timely manner, while employees can see the progress of their ideas.
But to reach this level, it’s important to understand the behavioral changes needed. In the next section, we’ll dive into practical tips on how to adapt your mindset by examining leaders who have successfully guided their organizations to thrive and innovate.
How to Be an Agile Leader
How can you become a great leader who adapts to change and guides others into the future? To provide some practical examples, I turned to Collective Genius: The Art and Practice of Leading Innovation by Linda Hill, Greg Brandeau, Emily Truelove, and Kent Lineback.
The authors conducted a decade-long research study of 24 leaders across different organizations and industries. They offer valuable insights into how exceptional leaders cultivate environments that foster collective creativity, collaboration, and experimentation.
In a nutshell, the authors describe the ABC of leadership which drives innovation and makes the shift from “vertical ideology of control” to “horizontal ideology of enablement”.
Their research has identified that to lead an organization that innovates at scale with speed, you need leaders that fill in three different functions:
the Architect — to build the culture and capabilities necessary to collaborate, experiment and work.
the Bridger — to create the bridge between the outside and the inside of the organization by bringing together skills and tools to innovate at speed.
the Catalyst — to accelerate co-creation through the entire ecosystem.
The Architect: Create the right environment
The paradox of business agility is that it takes time to build the capabilities needed for fast response and adaptability. Even if you want to move quickly and encourage others to do the same, you can’t force change.
Achieving agility requires a different mindset — letting go of some control that conventional leadership often demands. This is perhaps the most challenging aspect for many leaders who believe their power lies in maintaining control.
However, as an agile leader, you must recognize existing interdependencies. You rely on employees’ willingness, commitment, and ability to drive progress. Your success depends heavily on others, which is why it’s crucial to create an environment where people can ideate, create, and execute. As we will see in the next chapter, agile leadership involves balancing relinquishing control with providing enough direction and guidance to prevent chaos.
Many elements are at play here, but one of the most innovative animation studios, Pixar, offers a clear example. They created the first feature-length computer-animated film, Toy Story. What’s remarkable about Pixar is that every film they released after Toy Story became an instant commercial success.
Ed Catmull, co-founder of Pixar, is a mastermind of innovation and a pioneer in technology and storytelling. His legacy offers numerous inspiring lessons for leaders, but here are some key points on how he and other company leaders fostered an environment where innovation thrives.
Pixar’s culture is built on two essential elements: diversity and conflict.
Diversity
In this context, diversity means intellectual diversity — bringing together people with different perspectives, skills, working styles, and problem-solving approaches.
At Pixar, three different worlds converged: creative, technical, and business. People from all areas were treated as peers, and all perspectives were valued equally. Among visual artists and tech people, you could also find cultural anthropologists, music producers, and even a professional cheerleader.
When different views come together, great ideas, solutions, and innovations can emerge. But inevitably, disagreements and conflict can also arise.
Conflict
Conflict is something many leaders fear and seek to minimize. When conflict becomes destructive, personal, or a battle for who is right and who is wrong, nobody wins. However, at Pixar, feedback is honest and direct. Sometimes even brutal. But the aim is to improve things and find the best solution.
A confrontation becomes a debate in search of a better solution that serves everyone’s goals. Those who receive and provide feedback should always keep this in mind.
Naturally, this is not always achievable, and tempers can flare quickly under pressure, frustration or when passionate people clash. When conflict turns into a fight to win an argument, you should intervene, remind people of the greater purpose, and bring them back on track.
As a leader, community building should also be on your radar. Foster a strong sense of “we” and psychological safety. This encourages people to stand up for their ideas and pursue the solutions they believe are best for the greater good.
This is what contributed to Pixar’s continued innovation. As a leader, Ed Catmull realized early on the critical role of leadership in creating the context for innovation.
I realized the most exciting thing I had ever done was to help create the unique environment that allowed that film (Toy Story) to be made. My new goal became … to build a studio that had the depth, robustness, and will to keep searching for the hard truths that preserve the confluence of forces necessary to create magic.
The Bridger: Decentralize decision making
Decentralized decision-making is key to breaking down silos and eliminating bottlenecks, enabling faster experimentation, learning, and improvement. Although this approach is increasingly popular and recommended for driving innovation, many struggle with its implementation.
Decentralization demands strong leadership that empowers teams to drive progress, avoids micromanagement, and provides the right support while removing barriers and building innovation capabilities.
For teams to collaborate effectively, they need a leader who plays a central role — not to manage decisions, but to facilitate innovation.
Take the example of Volkswagen. In 2010, Luca De Meo was the CMO for VW, a group of nine brands, helping the organization achieve its goal of becoming a leading car manufacturer.
VW’s marketing decisions were decentralized, with local marketing teams independently creating and implementing their own strategies based on general guidelines from headquarters.
However, this approach led to a lack of communication and collaboration among marketing teams worldwide. Marketing spoke with different voices in each market, lacked alignment, and had no clear strategic role within the organization.
To build mutual trust and respect De Meo organized a two-day design lab where he brought together over seventy people to collaborate, ideate and work together to build a global brand. Of course, a one-time brainstorming workshop is not enough, so this became a recurrent event. Each gathering had different goals or action points on which diverse teams had to work together, bring their own experience and expertise to the table.
He also took a new approach in handling launches by creating a cross-functional team that brought together fresh perspective from young employees in marketing or other fields. He created a small team and gave them a free hand to come up with an integrated marketing strategy for the launch of a new city car model.
De Meo did not interfere and did not tell them how to go about it. Instead, he encouraged them to work as intrapreneurs within the larger organization. He set high expectations and tried to nudge them in the right direction when needed. Most importantly, he encouraged them to take risks and allowed them to make mistakes. The agile way.
A very important thing to highlight from this story is that De Meo made sure that minority voices were heard. In setups with a conventional approach to leadership, the loudest (or more experienced) voices usually get their ideas across. This means that many opportunities can be missed.
Long story short, leadership created the environment for people to innovate and removed barriers and enabled people to move faster. The efforts paid off and VW grew both as a recognized brand and in financial results.
The Catalyst: Grow capabilities of everyone around you
Visionary leaders made history, but if we take a closer look, it was not all about vision. It’s not enough to have a vision and expect others to follow you. You also need to set direction on how to get there, not just by dictating but by unleashing and amplifying people’s own capabilities, talents, passion and strengths that are useful for the bigger goal.
In our latest conversation in The Innovation Room podcast, we had the great pleasure of talking to John Bessant, an innovation veteran. From his vast experience he shared a few examples of how innovation leaders focused on facilitating conversations and debates to lead people to the future.
Such leaders can cultivate agility, and what is called dynamic capability: the ability to integrate, build and reconfigure internal and external competences to address rapidly changing environments.
To illustrate dynamic capability, Bessant gives the example of Procter and Gamble. P&G made a major change after 150 years of excelling in R&D and market research. They switched to a model they called “Connect and Develop” — their open innovation approach — well ahead of the open innovation trend. This shift involved a significant change in mindset and took them 20 years to get through it. They stepped back, reassessed, and adapted to the changing world.
This is a summary of their achievements, but reaching such results required an internal shift in culture. P&G needed to get everyone on board with open innovation, not just to embrace external ideas, but internal ones too. Early on, they recognized this model as essential for adapting to future challenges.
P&G leadership understood the critical role of employees in driving these changes. The new approach required employees to be more agile and flexible, to develop skills like curiosity, collaboration, and connectedness.
They worked to support employees who were inclined to control more, were insecure, or were resistant to sharing and opening up. P&G set new challenges and increased the complexity of some tasks to push employees’ capabilities. They ensured that employees worked across the business in different markets. As employees gained experience in different areas and improved at identifying and solving problems, their mindsets began to evolve.
Cultivating an innovative mindset is a process that takes time and a structured, intentional approach.
These are just a few examples, and although summarizing them may make it sound simple, each of these leaders struggled in their journey to achieve the desired outcomes.
Excellent agile leadership is challenging, but it doesn’t have to be an all-or-nothing approach. Let’s explore these challenges in more detail to help you assess what you can realistically implement in your own leadership role.
Challenges and Limitations of Agile Leadership
Being a great leader is never easy and being an agile one — navigating through uncertainty — is even tougher. Whether you call it agile leadership or not, your role as a leader is to create spaces for your teams to adapt quickly and steer the organization toward future success.
Let’s see what are some of these challenges and how you can address them by leading with agility.
1. Providing a sense of certainty in an uncertain environment
Certainty is an emotional state that can influence how we perceive our work environment. While you can’t control uncertainty, you can manage the fear of the unknown by being transparent. The least transparent environments often breed anxiety, rumors and speculations.
Remember: Share the big picture with your team, and don’t shy away from the truth. Provide updates on ongoing projects, successes, and setbacks. This way you build trust and foster a sense of purpose. Balance transparency with discretion — too much detail can overwhelm people, but too little breeds suspicion.
2. Managing the chaos
You want your team to take initiative and explore new ideas, but a lack of guidance can cause confusion and inefficiency. I’ve seen leaders struggle with this balance, either micromanaging their teams or stepping back too far.
Remember: Define clear ground rules and processes to guide your team. Support people to innovate within a framework that provides structure. Encourage ideas to surface and provide top-down guidance to turn them into actionable innovations.
3. Adapting to a new leadership model
Embracing agile leadership requires stepping out of your comfort zone and taking others with you. It demands discipline and a low tolerance for incompetence, with a focus on striving for excellence.
Remember: Encourage a disciplined approach to experimentation and ensure that failures lead to valuable lessons rather than wasted efforts. Candid feedback should flow both ways. Both leaders and employees should be open to having their ideas challenged. Embracing this kind of culture fosters growth and adaptability, but it also demands discipline and high standards to strive for excellence, as mediocrity thrives in comfort zones.
Conclusion
Whether you’re a leader or aspiring to be one, it’s important to recognize that perfection in leadership doesn’t exist — everyone has their own shortcomings and challenges. While we should empathize with these struggles, we must also hold leaders accountable.
Today, speed is a crucial competitive advantage, often going hand in hand with scale. Agility at the team level alone may not be enough; you need speed and scale in innovation to drive meaningful change.
Achieving this requires responsible and committed leadership that understands the need for both rapid and large-scale innovation. As you navigate your leadership journey, strive to lead with accountability, adaptability, and a focus on accelerating innovation.
Growth is the lifeblood of any organization, and the quest for growth opportunities is not just a strategic imperative. It is a fundamental necessity because the ability to identify and capitalize on opportunities is a game-changer for companies wanting to achieve sustainable success and stay ahead of the competition.
The challenge, however, is that not all opportunities are the same – some are head-smackingly obvious, while others are like trying to nail down JELL-O. Yet companies take a “one size fits all” approach to finding, developing, and capitalizing on them.
SEARCH when need to transform
What do you do when you need information but don’t know precisely what you need and certainly don’t know where to find it? You Google it or, in less-branded terms, you search for it.
When searching for growth opportunities, you’re looking for something but don’t know exactly what you need or where you’ll find it. Finding opportunities requires you to go beyond traditional market analysis and adopt a learner’s mindset to see ways to disrupt the status quo, challenge existing paradigms, and create new value propositions for your customers.
Searching is a creative process that entails investing in R&D, fostering a culture of intrapreneurship, and experimenting with new technologies. It requires a culture of creativity, experimentation, and agility to adapt to changing market dynamics. You have to be willing to be wrong on your way to being right, to move slowly so you can act quickly, and to throw out the timeline to harness the game-changing opportunity.
SEEK when you need to innovate
What do you do when you know what you need and generally where to find it? You seek it out – you go to where you think it will be, and, on the off-chance it’s not there, you pivot to Option B.
When you’re seeking growth opportunities, you have a target in mind but are not 100% sure how to hit it. Maybe you know you want to enter a new geography, but you need to figure out how to do it successfully and avoid the mistakes of previous entrants. Maybe it’s a new industry or category, but you must understand if and how to do it without disrupting your existing business model.
Seeking is both creative and analytical. You look for data and market intelligence, interview experts and individuals, analyze industry trends and explore untapped segments. It also requires you to stay open to surprises and new possibilities and take calculated risks to capitalize on emerging trends or consumer preferences. Like searching, it requires patience. Unlike searching, it respects a deadline.
STALK when you need to improve
Just like a lioness stalking a wildebeest, you do this when you see an opportunity and know exactly how to capture it. Yes, there will be zigs and zags along the way, and an unexpected competitor may pop up. But this is who you are and what you do.
When stalking opportunities, you bring the full value and power of your experience, expertise, resources, and capabilities to bear on an opportunity. This may happen when you’re operating and improving your core business. It may also occur after you’ve searched (and found) an opportunity, sought (and decided on) a strategy, and now you have the confidence to launch and scale.
Do Your Approaches Align with Your Goals?
Most companies say that they want to transform. Still, very few have the patience or intestinal fortitude to search because there is no Google for Transformation that produces the exact plan you need to transform successfully.
Companies also tend to stalk when they want to innovate, leaving opportunities to change the game and build sustainable competitive advantage on the sideline because they’re too uncertain or take too long.
Growth requires all three approaches – search, seek, and stalk – but only happens when your chosen approach aligns with your goals.
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In 2014, rumors started to circulate that Apple was developing a self-driving autonomous car to compete with Tesla. At the end of February 2024, rumors circulated that Apple was shutting down “Project Titan,” its car program. According to multiple media outlets, the only logical conclusion from the project’s death is that this decision signals the beginning of the end of Apple.
As much as I enjoy hyperbole and unnecessary drama, the truth is far more mundane.
The decision was just another day in the life of an innovation.
As always, there is a silver lining to this car-shaped cloud: the lessons we can learn from Apple’s efforts.
Lesson 1: Innovation isn’t all rainbows and unicorns
People think innovation is fun. It is. It is also gut-wrenching, frustrating, and infuriating. Doing something new requires taking risks, which is uncomfortable for most people. Even more challenging is that, more often than not, when you take a risk, you “fail.” (if you learned something, you didn’t fail, but that’s another article).
What you can do: Focus on the good stuff – moments of discovery, adventures when experimenting, signs that you’re making life better for others – but don’t forget that you’re defying the odds.
Lesson 2: More does not mean success
It’s been reported that Apple spent over ten billion dollars on Project Titan and that over 2000 people were working on it before it was canceled. With a market cap of over two trillion dollars, a billion dollars a year isn’t even a rounding error. But it’s still an eye-popping number, which makes Apple’s decision to cut its losses downright courageous.
What you can do: Be on guard for the sunk-cost fallacy. It’s easy to believe that you’ll eventually succeed if you keep working and pouring resources into a project. That’s not true, as Apple experienced. And in the rare cases when it is, executives are often left wondering if the success was worth the cost.
Lesson 3: Pivot based on data, not opinions
At least four different executives led Project Titan during its decade in development, and each leader brought their own vision for what the Apple Car should be. First, it was an electric vehicle with driver assistance that would compete with Tesla. Next, it was a self-driving car to compete with Google’s WayMo. Then, plans for fully autonomous driving were canceled. Finally, the team returned to its original target of matching Tesla’s Level 2 automation.
Changes in project objectives, strategies, and execution plans are necessary for innovation, so there’s nothing obviously wrong with these pivots. But the fact that they tended to happen when a new leader was appointed (and that Jony Ive caused an 18-month hiring freeze simply by expressing “displeasure”) makes me question how data-based these pivots actually were
What you can do: Be willing to change but have a high standard for what is required to cause a change. Data, even qualitative and anecdotal data, should be seriously considered. The opinion of a single executive, not so much.
Lesson 4: Dream big, build small
Apple certainly dreamed big with its aspirations to build a fully semi-autonomous vehicle and it poured billions into developing and testing the sensors, batteries, and partnership required to make it a reality. But it was never all-or-nothing in its pursuit of the automotive industry. Apple introduced CarPlay the same year it kicked off Project Titan, and it continues to offer regular updates to the system. Car Key was announced in 2020 and is now offered by BMW, Genesis, Hyundai, and Kia.
What you can do: Take a portfolio approach towards your overall innovation portfolio (Apple kept working on the iPhone, iPad, Apple Watch, and Vision Pro) and within each project. It’s not unusual that a part of the project turns out to be more valuable than the whole project.
Lesson 5: ___________________________
Yes, that is a fill-in-the-blank because I want to hear from you. What lesson are you taking away from Project Titan’s demise, and how will it make you a better innovator?
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AI is NOT a substitute for person-to-person discovery conversations or Jobs to be Done interviews.
But it is a freakin’ fantastic place to start…if you do the work before you start.
Get smart about what’s possible
When ChatGPT debuted, I had a lot of fun playing with it, but never once worried that it would replace qualitative research. Deep insights, social and emotional Jobs to be Done, and game-changing surprises only ever emerge through personal conversation. No matter how good the Large Language Model (LLM) is, it can’t tell you how feelings, aspirations, and motivations drive their decisions.
Then I watched JTBD Untangled’s video with Evan Shore, WalMart’s Senior Director of Product for Health & Wellness, sharing the tests, prompts, and results his team used to compare insights from AI and traditional research approaches.
In a few hours, he generated 80% of the insights that took nine months to gather using traditional methods.
Get clear about what you want and need.
Before getting sucked into the latest shiny AI tools, get clear about what you expect the tool to do for you. For example:
Provide a starting point for research: I used the free version of ChatGPT to build JTBD Canvas 2.0 for four distinct consumer personas. The results weren’t great, but they provided a helpful starting point. I also like Perplexity because even the free version links to sources.
Conduct qualitative research for me: I haven’t used it yet, but a trusted colleague recommended Outset.ai, a service that promises to get to the Why behind the What because of its ability to “conduct and synthesize video, audio, and text conversations.”
Synthesize my research and identify insights: An AI platform built explicitly for Jobs to be Done Research? Yes, please! That’s precisely what JobLens claims to be, and while I haven’t used it in a live research project, I’ve been impressed by the results of my experiments. For non-JTBD research, Otter.ai is the original and still my favorite tool for recording, live transcription, and AI-generated summaries and key takeaways.
Visualize insights:Mural, Miro, and FigJam are the most widely known and used collaborative whiteboards, all offering hundreds of pre-formatted templates for personas, journey maps, and other consumer research templates. Another colleague recently sang the praises of theydo, an AI tool designed specifically for customer journey mapping.
Practice your prompts
“Garbage in. Garbage out.” Has never been truer than with AI. Your prompts determine the accuracy and richness of the insights you’ll get, so don’t wait until you’ve started researching to hone them. If you want to start from scratch, you can learn how to write super-effective prompts here and here. If you’d rather build on someone else’s work, Brian at JobsLens has great prompt resources.
Spend time testing and refining your prompts by using a previous project as a starting point. Because you know what the output should be (or at least the output you got), you can keep refining until you get a prompt that returns what you expect. It can take hours, days, or even weeks to craft effective prompts, but once you have them, you can re-use them for future projects.
Defend your budget
Using AI for customer research will save you time and money, but it is not free. It’s also not just the cost of the subscription or license for your chosen tool(s).
Remember the 80% of insights that AI surfaced in the JTBD Untangled video? The other 20% of insights came solely from in-person conversations but comprised almost 100% of the insights that inspired innovative products and services.
AI can only tell you what everyone already knows. You need to discover what no one knows, but everyone feels. That still takes time, money, and the ability to connect with humans.
Run small experiments before making big promises
People react to change differently. Some will love the idea of using AI for customer research, while others will resist with. Everyone, however, will pounce on any evidence that they’re right. So be prepared. Take advantage of free trials to play with tools. Test tools on friends, family, and colleagues. Then under-promise and over-deliver.
AI is a starting point. It is not the ending point.
I’m curious, have you tried using AI for customer research? What tools have you tried? Which ones do you recommend?
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We live in a world, with less stability, certainty, simplicity, and predictability, where regional conflicts, societal divisions, and civil unrest have increased globally. Simultaneously, technological-induced disruptive innovations and the climate crisis impact every aspect of our daily lives. This means that we live in an age of overwhelm and a world of unknowns, requiring us all to know how to uncover and eliminate our individual and collective blind spots, to be adaptive and innovative. By thinking and acting differently about leadership and innovation, we can all grow, survive, and thrive within it.
This a moment in time that calls for leaders to boldly and courageously, step up, shift out of any myopic, reactive, cost, and short-term focus, and develop their leadership consciousness. By taking personal responsibility, and being accountable for owning and shifting their interior state or inner being, to eliminate flaws, maximize core strengths, and build confidence, capacity, and competence to adapt, innovate, and grow through disruption.
To refocus on developing future-fit systemic and innovative solutions, that add real value in ways that serve and sustain people, profit, and the planet, differently.
Leadership is in crisis
We are experiencing a global leadership crisis.
Many leaders, in the corporate sector, and national and international institutions have become increasingly reactive. In ways that are passively or aggressively defensive, egotistic, and often self-serving. By vacillating between political correctness, denial, justification, and avoidance – and between attacking, shaming, and blaming groups, individuals, and nations for the current state of social unrest, political chaos, cultural divisions, and regional and religious conflicts.
Hitting a pause button
The missing key element is the leadership consciousness required in taking the time to pause, retreat (step back), reflect, and explore the deep causes, current implications, and nature of challenging, complex, and systemic problems.
Leaders are obliged to step out of their habitual comfort zones and boost their ability to bravely make sense of what is going on – and develop the foresight skills to risk mitigate and identify the most intelligent actions that will deliver high-value and high-impact outcomes that serve people, profits, and the planet.
To uncover the repetitive mindsets and behaviors that keep on producing results that no one wants, by bravely exposing and eliminating their leadership blind spots.
Leadership blind spots
We know that most of the innovative solutions to the complex challenges we face already exist.
To unleash these desirable, value-adding, and innovative solutions, we need to empower, enable, and equip leaders to bravely and safely expose and eliminate their largely, unconscious and unknown leadership blind spots. These exist in our individual and collective leadership, they also exist in our everyday team and social interactions.
Because most leaders are smart and know what to do, and how to do it, identifying and eliminating any leadership blind spots will enable them to do it better.
Yet, despite, in many cases, years of leadership training they are at risk of being perpetually reactive, unfocused, overcome with “busyness” and addicted to the tasks involved in “getting stuff” (usually the urgent “small stuff” and not always the “important stuff”) the done.
As defined by Dr. Karen Blakeley in “Leadership Blind Spots and What to Do about Them,” a blind spot is “a regular tendency to repress, distort, dismiss or fail to notice information, views or ideas in a particular area that results in an individual failing to learn, change or grow in response to changes in that area.”
Source of leadership blind spots
The majority of leaders are mostly blind to the Source from which they operate. This is often because many do not have the self-awareness and emotional intelligence to manage and self-regulate any of their unconscious un-resourceful emotional states, mindsets, and behaviors.
Leadership Consciousness
“An ordered distinction between self and environment, simple wakefulness, one’s sense of self-hood or soul explored by “looking within”; being a metaphorical “stream” of contents, or being a mental state, mental event or mental process of the brain”.
Igniting the brain
Leadership blind spots are typically contained in our neurology and can be exposed and eliminated by:
Paying attention to their three core neurological levels and being intentional in cultivating their leadership consciousness.
When engaged in a coaching partnership, a leader can learn how to shift, self-regulate, and self-manage at all three levels to effectively eliminate their flaws, and learn how to think and act differently in delivering successful transformation and change initiatives.
Power of Coaching Intervention
A coach is an external disruptor who seeks to bring out the best in a leader, tap into and maximize their potential, and adds value by facilitating deep, insight-based learning processes, that shifts mindsets and result in sustainable behavior change.
Coaching helps smart people be and think beyond who they are being and beyond what they are thinking now. In ways that can empower, enable, and equip leaders to adapt, innovate, and grow, cultivate their imagination and creativity, to think and act differently in an unstable world.
This enables them to develop and implement systemic and innovative solutions in a timely way and at scale.
Noticing, disrupting, disputing, and deviating
Coaches partner with leaders to enable them to notice, disrupt, dispute, and deviate by accessing and harnessing resourceful emotional states, and mindsets. Coaches safely explore the “boxes”, thinking, or the “stories” a leader may have been unconsciously living within, and constricted by.
Because we can’t solve the problem with the same thinking that created it in the first instance.
Especially in a 21st-century world where developing leadership consciousness enables us to adapt, innovate, and grow by:
Reducing our brain’s ability to hijack us when doing its best to constantly keep us safe from danger,
Letting go of old pervasive Industrial Age mental models and perspectives, especially around cost and efficiency,
Relearning new future-fit ways of being, thinking, and acting differently.
And increases our ability to be agile, centered, and focused in thinking faster in the Disruption Age, where technology is accelerating faster than our human brains are.
Upskilling our brains!
A coaching partnership will create a safe and collective holding space to help leaders deep dive into the unknown develop strategies and develop their leadership consciousness in ways that:
Opens their minds, ignites their imagination, curiosity, and creativity, shifts their perspective, makes sense of things develops a whole systems perspective, and think differently,
Opens their hearts to become connected with self, others, systems, and with Source, and be empathic and compassionate,
Closing leadership blind spots to adapt, innovate and grow
A coach empowers, enables, and equips a leader’s capacity, confidence, and competence, to identify and close their leadership blind spots, be in charge of their minds, and think and act differently, to adapt, innovate, and grow in times of great uncertainty.
To convincingly work with, and flow with both their peoples overwhelm, and with the constraints in the external environment by:
Developing an awareness of their neurological RIGIDITY which exists within their emotional, cognitive, and visceral states, in turn, impacts their ability to mobilise, focus, and engage their efforts.
When a leader has a blind spot in this area, they may demonstrate rigidity, or functional fixedness, resulting in an inability to mobilise, they will be withdrawn, reactive, and become overly passive or even aggressive. Because they are unconsciously at the effect of the “mental blocks” resulting from unacknowledged fears and anxiety.
Developing their neurological PLASTICITY and flexibility to be able to attend to, regulate, and focus their thoughts, and feelings, and be grounded, mindful, present, and intentional in taking intelligent actions.
When a leader has a blind spot in this area, they will not be able to access their brain’s ability to change, reorganize, or grow new neural networks, learn, adapt, and become resilient. They will not develop the agility required to shift mindsets or behaviours, or even learn the new skills that will equip them to be future-fit and deliver the results they seek.
Generating the critical and creative thinking, problem sensing, and solving skills required to improve their leadership consciousness and GENERATE their crucial elastic thinking and human skills required to see, think differently in solving complex and wicked problems, be future-fit, and lead others to thrive.
When a leader has a blind spot in this area, they will take a conventional and linear approach to decision-making problem-solving, and team development. They will safely stay stuck in what they know, even though what they did in the past may not have worked.
Adding value to the quality of peoples’ lives
If we keep on trying to solve the problem with the same thinking (and neurological state) that created it, we will continue to reproduce the results no one wants.
We will not be able to shift beyond what we think now, nor will we connect, export, and, discover the crucial new horizons we need to emerge to develop and implement the systemic and innovative solutions, in a timely way and at scale, that the world needs right now!
Imagine if leaders truly and deeply committed to cultivating their leadership consciousness, and make the time and space to eliminate their blind spots, how peaceful and harmonious the world could become!
If leaders could learn how to think and act differently, focus on adding value to the quality of people’s lives in ways they appreciate and cherish, and contribute to the common good, to serve all of humanity, how people, profit, and the planet could flourish.
Find out more about our work at ImagineNation™
Find out about our collective, learning products and tools, including The Coach for Innovators, Leaders, and Teams Certified Program, presented by Janet Sernack, is a collaborative, intimate, and deeply personalized innovation coaching and learning program, supported by a global group of peers over 9-weeks, and can be customized as a bespoke corporate learning and coaching program for leadership and team development and change and culture transformation initiatives.
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Transformation and change initiatives are usually designed as strategic interventions, intending to advance an organization’s growth, deliver increased shareholder value, build competitive advantage, or improve speed and agility to respond to fast-changing industries. These initiatives typically focus on improving efficiency, and productivity, resolving IT legacy and technological issues, encouraging innovation, or developing high-performance organizational cultures. Yet, according to research conducted over fifteen years by McKinsey & Co., shared in a recent article “Losing from day one: Why even successful transformations fall short” – Organizations have realized only 67 percent of the maximum financial benefits that their transformations could have achieved. By contrast, respondents at all other companies say they captured an average of only 37 percent of the potential benefit, and it’s all due to a lack of human skills, and their inability to adapt, innovate, and thrive in a decade of disruption.
Differences between success and failure
The survey results confirm that “there are no shortcuts to successful transformation and change initiatives. The main differentiator between success and failure was not whether an organization followed a specific subset of actions but rather how many actions it took throughout an organizational transformation’s life cycle” and actions taken by the people involved.
Capacity, confidence, and competence – human skills
What stands out is that thirty-five percent of the value lost occurs in the implementation phase, which involves the unproductive actions taken by the people involved.
The Boston Consulting Group (BCG) supports this in a recent article “How to Create a Transformation That Lasts” – “Transformations are inherently difficult, filled with compressed deadlines and limited resources. Executing them typically requires big changes in processes, product offerings, governance, structure, the operating model itself, and human behavior.”
Complex and difficult to navigate – key challenges
As a result of the impact of our VUCA/BANI world, coupled with the global pandemic, current global instability, and geopolitics, many people have had their focus stolen, and are still experiencing dissonance cognitively, emotionally, and viscerally.
This impacts their ability to take intelligent actions and the range of symptoms includes emotional overwhelm, cognitive overload, and change fatigue.
It seems that many people lack the capacity, confidence, and competence, to underpin their balance, well-being, and resilience, which resources their ability and GRIT to engage fully in transformation and change initiatives.
The new normal – restoring our humanity
At ImagineNation™ for the past four years, in our coaching and mentoring practice, we have spent more than 1000 hours partnering with leaders and managers around the world to support them in recovering and re-emerging from a range of uncomfortable, disabling, and disempowering feelings.
Some of these unresourceful states include loneliness, disconnection, a lack of belonging, and varying degrees of burnout, and have caused them to withdraw and, in some cases, even resist returning to the office, or to work generally.
It appears that this is the new normal we all have to deal with, knowing there is no playbook, to take us there because it involves restoring the essence of our humanity and deepening our human skills.
Taking a whole-person approach – develop human skills
By embracing a whole-person approach, in all transformation and change initiatives, that focuses on building people’s capacity, confidence, and competence, and that cultivates their well-being and resilience to:
Engage, empower, and enable them to collaborate in setting the targets, business plans, implementation, and follow-up necessary to ensure a successful transformation and change initiative.
Safely partner with them through their discomfort, anxiety, fear, and reactive responses.
Learn resourceful emotional states, traits, mindsets, behaviors, and human skills to embody, enact and execute the desired changes strategically and systemically.
By then slowing down, to pause, retreat and reflect, and choose to operate systemically and holistically, and cultivate the “deliberate calm” required to operate at the three different human levels outlined in the illustration below:
The Neurological Level – which most transformation and change initiatives fail to comprehend, connect to, and work with. Because people lack the focus, intention, and skills to help people collapse any unconscious RIGIDITY existing in their emotional, cognitive, and visceral states, which means they may be frozen, distracted, withdrawn, or aggressive as a result of their fears and anxiety.
You can build your capacity, confidence, and competence to operate at this level by accepting “what is”:
Paying attention and being present with whatever people are experiencing neurologically by attending, allowing, accepting, naming, and acknowledging whatever is going on for them, and by supporting and enabling them to rest, revitalize and recover in their unique way.
Operating from an open mind and an open heart and by being empathic and compassionate, in line with their fragility and vulnerability, being kind, appreciative, and considerate of their individual needs.
Being intentional in enabling them to become grounded, mindful conscious, and truly connected to what is really going on for them, and rebuild their positivity, optimism, and hope for the future.
Creating a collective holding space or container that gives them permission, safety, and trust to pull them towards the benefits and rewards of not knowing, unlearning, and being open to relearning new mental models.
Evoking new and multiple perspectives that will help them navigate uncertainty and complexity.
The Emotional Cognition Levels – which most transformation and change initiatives fail to take into account because people need to develop their PLASTICITY and flexibility in regulating and focusing their thoughts, feelings, and actions to adapt and be agile in a world of unknowns, and deliver the outcomes and results they want to have.
You can build your capacity, confidence, and competence to operate at this level by supporting them to open their hearts and minds:
Igniting their curiosity, imagination, and playfulness, introducing novel ideas, and allowing play and improvisation into their thinking processes, to allow time out to mind wander and wonder into new and unexplored territories.
Exposing, disrupting, and re-framing negative beliefs, ruminations, overthinking and catastrophizing patterns, imposter syndromes, fears of failure, and feelings of hopelessness and helplessness.
Evoking mindset shifts, embracing positivity and an optimistic focus on what might be a future possibility and opportunity.
Being empathic, compassionate, and appreciative, and engaging in self-care activities and well-being practices.
The Generative Level – which most transformation and change initiatives ignore, because they fail to develop the critical and creative thinking, and problem sensing and solving skills that are required to GENERATE the crucial elastic thinking and human skills that result in change, and innovation.
You can build your capacity, confidence, and competence to operate at this level by:
Creating a safe space to help people reason and make sense of the things occurring within, around, and outside of them.
Cultivating their emotional and cognitive agility, creative, critical, and associative thinking skills to challenge the status quo and think differently.
Developing behavioral flexibility to collaborate, being inclusive to maximize differences and diversity, and safe experimentation to close their knowing-doing gaps.
Taking small bets, giving people permission and safety to fail fast to learn quickly, be courageous, be both strategic and systemic in taking smart risks and intelligent actions.
Reigniting our humanity – unlocking human potential
At the end of the day, we all know that we can’t solve the problem with the same thinking that created it. Yet, so many of us keep on trying to do that, by unconsciously defaulting into a business-as-usual linear thinking process when involved in setting up and implementing a transformation or change initiative.
Ai can only take us so far, because the defining trait of our species, is our human creativity, which is at the heart of all creative problem-solving endeavors, where innovation can be the engine of change, transformation, and growth, no matter what the context. According to Fei-Fei Li, Sequoia Professor of Computer Science at Stanford, and co-director of AI4All, a non-profit organization promoting diversity and inclusion in the field of AI.
“There’s nothing artificial about AI. It’s inspired by people, created by people, and most importantly it has an impact on people”.
Develop the human skills
When we have the capacity, confidence, and competence to reignite our humanity, we will unlock human potential, and stop producing results no one wants. By developing human skills that enable people to adapt, be resilient, agile, creative, and innovate, they will grow through disruption in ways that add value to the quality of people’s lives, that are appreciated and cherished, we can truly serve people, deliver profits and perhaps save the planet.
Find out more about our work at ImagineNation™
Find out about our collective, learning products and tools, including The Coach for Innovators, Leaders, and Teams Certified Program, presented by Janet Sernack, is a collaborative, intimate, and deeply personalized innovation coaching and learning program, supported by a global group of peers over 9-weeks, and can be customized as a bespoke corporate learning and coaching program for leadership and team development and change and culture transformation initiatives.
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For those of us working in the innovation and change field, it is hard to overstate the value and importance of AI. It opens doors, that were, for me at least, barely imaginable 10 years ago. And for someone who views analogy, crossing expertise boundaries, and the reapplication of ideas across domains as central to innovation, it’s hard to imagine a more useful tool.
But it is still a tool. And as with any tool, leaning it’s limitations, and how to use it skillfully is key. I make the analogy to an automobile. We don’t need to know everything about how it works, and we certainly don’t need to understand how to build it. But we do need to know what it can, and cannot do. We also need to learn how to drive it, and the better our driving skills, the more we get out of it.
AI, the Idiot Savant? An issue with current AI is that it is both intelligent and stupid at the same time (see Yejin Chois excellent TED talk that is attached). It has phenomenal ‘data intelligence’, but can also fail on even simple logic puzzles. Part of the problem is that AI lacks ‘common sense’ or the implicit framework that filters a great deal of human decision making and behavior. Chois calls this the ‘dark matter’ common sense of decision-making. I think of it as the framework of knowledge, morality, biases and common sense that we accumulate over time, and that is foundational to the unconscious ‘System 1’ elements that influence many, if not most of our decisions. But whatever we call it, it’s an important, but sometimes invisible and unintuitive part of human information processing that is can be missing from AI output.
Of course, AI is far from being unique in having limitations in the quality of its output. Any information source we use is subject to errors. We all know not to believe everything we read on the internet. That makes Google searches useful, but also potentially flawed. Even consulting with human experts has pitfalls. Not all experts agree, and even to most eminent expert can be subject to biases, or just good old fashioned human error. But most of us have learned to be appropriately skeptical of these sources of information. We routinely cross-reference, challenge data, seek second opinions and do not simply ‘parrot’ the data they provide.
But increasingly with AI, I’ve seen a tendency to treat its output with perhaps too much respect. The reasons for this are multi-faceted, but very human. Part of it may be the potential for generative AI to provide answers in an apparently definitive form. Part may simply be awe of its capabilities, and to confuse breadth of knowledge with accuracy. Another element is the ability it gives us to quickly penetrate areas where we may have little domain knowledge or background. As I’ve already mentioned, this is fantastic for those of us who value exploring new domains and analogies. But it comes with inherent challenges, as the further we step away from our own expertise, the easier it is for us to miss even basic mistakes.
As for AI’s limitations, Chois provides some sobering examples. It can pass a bar exam, but can fail abysmally on even simple logic problems. For example, it suggests building a bridge over broken glass and nails is likely to cause punctures! It has even suggested increasing the efficiency of paperclip manufacture by using humans as raw materials. Of course, these negative examples are somewhat cherry picked to make a point, but they do show how poor some AI answers can be, and how they can be low in common sense. Of course, when the errors are this obvious, we should automatically filter them out with our own common sense. But the challenge comes when we are dealing in areas where we have little experience, and AI delivers superficially plausible but flawed answers.
Why is this a weak spot for AI? At the root of this is that implicit knowledge is rarely articulated in the data AI scrapes. For example, a recipe will often say ‘remove the pot from the heat’, but rarely says ‘remove the pot from heat and don’t stick your fingers in the flames’. We’re supposed to know that already. Because it is ‘obvious’, and processed quickly, unconsciously and often automatically by our brains, it is rarely explicitly articulated. AI, however, cannot learn what is not said. And so because we don’t tend to state the obvious, it can make it challenging for an AI to learn it. It learns to take the pot off of the heat, but not the more obvious insight, which is to avoid getting burned when we do so.
This is obviously a known problem, and several strategies are employed to help address it. These include manually adding crafted examples and direct human input into AI’s training. But this level of human curation creates other potential risks. The minute humans start deciding what content should and should not be incorporated, or highlighted into AI training, the risk of transferring specific human biases to that AI increase. It also creates the potential for competing AI’s with different ‘viewpoints’, depending upon differences in both human input and the choices around what data-sets are scraped. There is a ‘nature’ component to the development of AI capability, but also a nurture influence. This is of course analogous the influence that parents, teachers and peers have on the values and biases of children as they develop their own frameworks.
But most humans are exposed to at least some diversity in the influences that shape their decision frameworks. Parents, peers and teachers provide generational variety, and the gradual and layered process that builds the human implicit decision framework help us to evolve a supporting network of contextual insight. It’s obvious imperfect, and the current culture wars are testament to some profound differences in end result. But to a large extent, we evolve similar, if not identical common sense frameworks. With AI, the narrower group contributing to curated ‘education’ increases the risk of both intentional and unintentional bias, and of ‘divergent intelligence’.
What Can We do? The most important thing is to be skeptical about AI output. Just because it sounds plausible, don’t assume it is. Just as we’d not take the first answer on a Google search as absolute truth, don’t do the same with AI. Ask it for references, and check them (early iterations were known to make up plausible looking but nonsense references). And of course, the more important the output is to us, the more important it is to check it. As I said at the beginning, it can be tempting to take verbatim output from AI, especially if it sounds plausible, or fits our theory or worldview. But always challenge the illusion of omnipotence that AI creates. It’s probably correct, but especially if its providing an important or surprising insight, double check it.
The Sci-Fi Monster! The concept of a childish super intelligence has been explored by more than one Science Fiction writer. But in many ways that is what we are dealing with in the case of AI. It’s informational ‘IQ’ is greater than the contextual or common sense ‘IQ’ , making it a different type of intelligence to those we are used to. And because so much of the human input side is proprietary and complex, it’s difficult to determine whether bias or misinformation is included in its output, and if so, how much? I’m sure these are solvable challenges. But some bias is probably unavoidable the moment any human intervention or selection invades choice of training materials or their interpretation. And as we see an increase in copyright law suits and settlements associated with AI, it becomes increasingly plausible that narrowing of sources will result in different AI’s with different ‘experiences’, and hence potentially different answers to questions.
AI is an incredible gift, but like the three wishes in Aladdin’s lamp, use it wisely and carefully. A little bit of skepticism, and some human validation is a good idea. Something that can pass the bar, but that lacks common sense is powerful, it could even get elected, but don’t automatically trust everything it says!
Image credits: Pexels
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