How Engineered Living Therapeutics Are Redefining Healthcare

The Living Cure

LAST UPDATED: January 29, 2026 at 5:38 PM

How Engineered Living Therapeutics Are Redefining Healthcare

GUEST POST from Art Inteligencia

For centuries, medicine has been about chemistry — pills and potions designed to intervene in biological processes. But what if the medicine itself could think? What if it could adapt? What if it was alive? This isn’t science fiction; it’s the audacious promise of Engineered Living Therapeutics (ELTs), and it represents a paradigm shift in human-centered healthcare that will redefine our relationship with illness.

As a thought leader in human-centered change and innovation, I’ve seen countless industries disrupted by radical new approaches. Biotechnology is no exception. ELTs are not merely advanced drugs; they are biological systems, often engineered microbes or cells, programmed to perform specific therapeutic functions within the body. This is innovation at its most profound: leveraging the inherent intelligence and adaptability of life itself to heal.

Beyond the Pill: The Intelligence of Living Medicine

Traditional pharmaceuticals often act as blunt instruments, targeting specific pathways with limited specificity and potential side effects. ELTs, by contrast, offer a level of precision and dynamic response previously unimaginable. Imagine a therapy that can detect disease markers, produce therapeutic compounds only when needed, or even self-regulate its activity based on the body’s changing state. This intelligent adaptability is what makes ELTs a truly human-centered approach to healing, tailoring treatment to the unique, fluctuating biology of each individual.

“The future of medicine isn’t just about what we put into the body; it’s about what we awaken within it. Engineered Living Therapeutics aren’t just treatments; they’re collaborations with our own biology.”

— Braden Kelley

Case Study I: Reprogramming the Gut for Metabolic Health

A burgeoning area for ELTs lies within the human microbiome. Consider the challenge of chronic metabolic diseases like Type 2 Diabetes. Current treatments often manage symptoms without addressing underlying dysregulation. One biotech startup engineered a strain of probiotic bacteria to reside in the gut. This engineered bacterium was programmed to sense elevated glucose levels and, in response, produce and deliver an insulin-sensitizing peptide directly within the intestinal lumen.

This targeted, localized intervention offered a novel way to manage blood sugar, reducing the systemic side effects associated with orally administered drugs. The innovation here wasn’t just a new molecule, but a living delivery system that dynamically responded to the body’s needs, representing a truly personalized and responsive therapy.

Case Study II: Targeted Oncology with “Smart” Cells

Cancer treatment remains one of medicine’s most formidable challenges. While CAR T-cell therapy has revolutionized certain hematological cancers, ELTs are pushing the boundaries further. Imagine immune cells engineered not only to identify cancer cells but also to produce potent anti-cancer molecules directly at the tumor site, or even to activate other immune cells to join the fight.

One research initiative is exploring tumor-infiltrating lymphocytes (TILs) engineered to express specific receptors that bind to unique tumor antigens and simultaneously secrete localized immunomodulators. This approach aims to overcome the immunosuppressive microenvironment of solid tumors, a significant hurdle for many current immunotherapies. This represents a leap towards truly precision oncology, where the body’s own defenders are given a sophisticated, living upgrade.

Leading the Charge: Companies and Startups in the ELT Space

The ELT landscape is rapidly evolving, attracting significant investment and groundbreaking research. Established pharmaceutical giants like Novartis and Gilead Sciences (through Kite Pharma) are already active in the approved CAR T-cell therapy space, which serves as a foundational ELT. However, a vibrant ecosystem of innovative startups is pushing the frontier. Companies like Seres Therapeutics are leading with microbiome-based ELTs for infectious diseases. Synlogic is developing engineered bacteria for metabolic disorders and cancer. Ginkgo Bioworks, while not a therapeutic company itself, is a critical enabler, providing the foundational synthetic biology platform for engineering organisms. Additionally, numerous academic spin-offs and smaller biotechs are emerging, focusing on niche applications, advanced gene editing techniques within living cells, and novel delivery mechanisms, signaling a diverse and competitive future for ELTs.

Designing Trust in Living Systems

ELTs raise questions about control, persistence, and governance. Human-centered change demands proactive transparency, ethical foresight, and adaptive regulation.

The future of ELTs will be shaped as much by trust as by technology.

The Human-Centered Future of Living Therapies

Healthcare innovation has long been constrained by an assumption that treatment must be static to be safe. Engineered Living Therapeutics (ELTs) challenge that assumption by embracing biology’s native strength: adaptability.

ELTs are living systems intentionally designed to operate inside the human body. They sense, decide, and respond. In doing so, they force leaders, regulators, and innovators to rethink what medicine is and how it should behave.

“True healthcare innovation begins when we stop trying to control biology and start designing with it.”

— Braden Kelley

The journey with ELTs is just beginning. As with any transformative technology, there are ethical considerations, regulatory hurdles, and manufacturing complexities to navigate. However, the potential for these living medicines to offer durable, highly targeted, and adaptive treatments for a vast array of diseases — from cancer and autoimmune disorders to infectious diseases and chronic conditions — is immense. By placing the human at the center of this innovation, ensuring patient safety, accessibility, and shared understanding, we can unlock a future where our biology becomes an ally in healing, not just a battlefield.


Frequently Asked Questions

What are Engineered Living Therapeutics (ELTs)?ELTs are biological systems, typically engineered microbes (like bacteria) or human cells, programmed to perform specific therapeutic functions within the body to treat diseases.

How do ELTs differ from traditional drugs?Unlike static chemical drugs, ELTs are dynamic and can sense the body’s environment, adapt their function, and produce therapeutic effects precisely where and when needed, offering a more intelligent and targeted approach.

What types of diseases can ELTs potentially treat?ELTs show promise across a wide range of conditions, including cancer, autoimmune disorders, metabolic diseases (like diabetes), infectious diseases, and gastrointestinal disorders.

Disclaimer: This article speculates on the potential future applications of cutting-edge scientific research. While based on current scientific understanding, the practical realization of these concepts may vary in timeline and feasibility and are subject to ongoing research and development.

Image credits: Google Gemini

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Five Key Design Questions

Five Key Design Questions

GUEST POST from Mike Shipulski

1. What do they want?

Some get there with jobs-to-be-done, some use Customer Needs, some swear by ethnographic research and some like to understand why before what. But in all cases, it starts with the customer. Whichever mechanism you use, the objective is clear – to understand what they need. Because if you don’t know what they need, you can’t give it to them. And once you get your arms around their needs, you’re ready to translate them into a set of functional requirements, that once satisfied, will give them what they need.

2. What does it do?

A complete set of functional requirements is difficult to create, so don’t start with a complete set. Use your new knowledge of the top customer needs to define and prioritize the top functional requirements (think three to five). Once tightly formalized, these requirements will guide the more detailed work that follows. The functional requirements are mapped to elements of the design, or design parameters, that will bring the functions to life. But before that, ask yourself if a check-in with some potential customers is warranted. Sometimes it is, but at these early stages it’s may best to wait until you have something tangible to show customers.

3. What does it look like?

The design parameters define the physical elements of the design that ultimately create the functionality customers will buy. The design parameters define shape of the physical elements, the materials they’re made from and the interaction of the elements. It’s best if one design parameter controls a single functional requirement so the functions can be dialed in independently. At this early concept phase, a sketch or CAD model can be created and reviewed with customers. You may learn you’re off track or you may learn you’re way off track, but either way, you’ll learn how the design must change. But before that, take a little time to think through how the product will be made.

4. How to make it?

The process variables define the elements of the manufacturing process that make the right shapes from the right materials. Sometimes the elements of the design (design parameters) fit the process variables nicely, but often the design parameters must be changed or rearranged to fit the process. Postpone this mapping at your peril! Once you show a customer a concept, some design parameters are locked down, and if those elements of the design don’t fit the process you’ll be stuck with high costs and defects.

5. How to sell it?

The goodness of the design must be translated into language that fits the customer. Create a single page sales tool that describes their needs and how the new functionality satisfies them. And include a digital image of the concept and add it to the one-pager. Show document to the customer and listen. The customer feedback will cause you to revisit the functional requirements, design parameters and process variables. And that’s how it’s supposed to go.

Though I described this process in a linear way, nothing about this process is linear. Because the domains are mapped to each other, changes in one domain ripple through the others. Change a material and the functionality changes and so do the process variables needed to make it. Change the process and the shapes must change which, in turn, change the functionality.

But changes to the customer needs are far more problematic, if not cataclysmic. Change the customer needs and all the domains change. All of them. And the domains don’t change subtly, they get flipped on their heads. A change to a customer need is an avalanche that sweeps away much of the work that’s been done to date. With a change to a customer need, new functions must be created from scratch and old design elements must culled. And no one knows what the what the new shapes will be or how to make them.

You can’t hold off on the design work until all the customer needs are locked down. You’ve got to start with partial knowledge. But, you can check in regularly with customers and show them early designs. And you can even show them concept sketches.

And when they give you feedback, listen.

Image credit: Pixabay

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Samsung is Turning Customer Service into a Competitive Advantage

Samsung is Turning Customer Service into a Competitive Advantage

GUEST POST from Shep Hyken

In the 1980s, Jan Carlzon was tasked with turning around Scandinavian Airlines, which had been losing money, and making it profitable. He achieved this by getting everyone to buy into a concept he called “The Moment of Truth.” The definition of this phrase was so straightforward that all Scandinavian Airlines employees could understand it and act accordingly. He defined The Moment of Truth as any time a customer (passenger) came into contact with the company, they had the opportunity to form an impression. All employees were tasked with managing these moments and creating positive impressions. That concept is every bit as valid today as it was over 40 years ago.

This idea is the same, and probably more so, for customer support, the “department” that handles complaints and problems. However, I’d like to paraphrase Carlzon’s timeless wisdom: Any time a customer comes into contact with the company’s customer support department, it is an opportunity to create loyalty.

When you create loyalty through a positive customer experience (CX), especially with customer support, several things happen. First, customers come back. Second, they spend more. Third, they trust the company more. And fourth, they become your best advertising in the form of word of mouth.

Mark Williams, the head of customer care at Samsung Electronics America, has been tasked with turning customer support into a loyalty machine. In a recent interview, he shared several important and powerful points that apply to any business:

Customer Service/Support Shouldn’t Be Just About Fixing Problems

A customer may reach out to the company about a problem, and when they finally finish with the interaction, they have a sense of confidence in the company. Every interaction, even when it starts with a complaint or problem, is an opportunity to turn the customer into a loyal customer and brand ambassador.

Customer Service can be Proactive, Not Just Reactive

This is a powerful concept: proactive customer service. Using technology, a company can anticipate problems. Technology is now being integrated into items to help identify problems, often before customers are even aware of them. For example, Samsung’s “smart appliances” can alert customers that the refrigerator is getting warm and help schedule a repair before all the food in the refrigerator and freezer spoils. Williams says, “Get to customers quicker and solve their problems before they even know they have a problem.”

AI Should Not Replace Humans

The more I talk to CX leaders, the more I hear that companies are not reducing their customer support teams because of AI. If anything, they recognize that AI is a tool that helps people, not replaces them. Williams says, “AI is not a replacement. It is an enhancement to make the experience better and let our agents focus on the customers so they can solve problems quicker and more accurately.” Furthermore, when AI is used internally to assist employees, it delivers the right information in a timely manner and empowers them to create a better customer experience. For complicated issues, AI supports the agent while they resolve customer issues and work on rebuilding the customer’s trust in the brand.

The Three S’s of an Amazing Customer Experience

Williams shared his three core principles for delivering an experience that creates loyalty:

  1. Speed: Reduce the time it takes to resolve a customer’s issue. The sooner, the better. Williams is proud that Samsung’s repair network for consumer electronics covers 99% of the U.S. Eight out of 10 Americans (81%) are within 30 minutes of getting their products serviced. That’s actually convenience combined with speed, a powerful combination.
  2. Simplicity: Make it easy for customers to do business with you. Remove confusing policies and anything else that is inconvenient for the customer. Listen to your front-line employees who are actively listening to your customers to get ideas on how to create a simpler and more convenient experience.
  3. Service: Design experiences that put your customers first. When you put yourself in your customers’ shoes, you’ll find opportunities to improve customer service and the overall customer experience. Service includes friendly employees who are knowledgeable and deliver an experience that builds confidence and trust, even when things go wrong, because customers know they can count on you.

Final Words

For those in leadership who still view customer support as a cost center, think again. The people on the front line, along with the people designing digital self-service — an AI-fueled experience — are the extension of your sales and marketing departments. Loyalty can be built by turning around a customer with a complaint. In short, customer service can be an income-generating department. Reliable products are a given, but it’s the way a company handles a customer during a contentious or disappointing moment that makes them say, “I’ll be back!”

This article was originally published on Forbes.com.

Image credits: Pexels

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Win Your Way to an AI Job

Anduril’s AI Grand Prix: Racing for the Future of Work

LAST UPDATED: January 28, 2026 at 2:27 PM

Anduril's AI Grand Prix: Racing for the Future of Work

GUEST POST from Art Inteligencia

The traditional job interview is an antiquated artifact, a relic of a bygone industrial era. It often measures conformity, articulateness, and cultural fit more than actual capability or innovative potential. As we navigate the complexities of AI, automation, and rapid technological shifts, organizations are beginning to realize that to find truly exceptional talent, they need to look beyond resumes and carefully crafted answers. This is where companies like Anduril are not just iterating but innovating the very hiring process itself.

Anduril, a defense technology company known for its focus on AI-driven systems, recently announced its AI Grand Prix — a drone racing contest where the ultimate prize isn’t just glory, but a job offer. This isn’t merely a marketing gimmick; it’s a profound statement about their belief in demonstrated skill over credentialism, and a powerful strategy for identifying talent that can truly push the boundaries of autonomous systems. It epitomizes the shift from abstract evaluation to purposeful, real-world application, emphasizing hands-on capability over theoretical knowledge.

“The future of hiring isn’t about asking people what they can do; it’s about giving them a challenge and watching them show you.”

— Braden Kelley

Why Challenge-Based Hiring is the New Frontier

This approach addresses several critical pain points in traditional hiring:

  • Uncovering Latent Talent: Many brilliant minds don’t fit the mold of elite university degrees or polished corporate careers. Challenge-based hiring can surface individuals with raw, untapped potential who might otherwise be overlooked.
  • Assessing Practical Skills: In fields like AI, robotics, and advanced engineering, theoretical knowledge is insufficient. The ability to problem-solve under pressure, adapt to dynamic environments, and debug complex systems is paramount.
  • Cultural Alignment Through Action: Observing how candidates collaborate, manage stress, and iterate on solutions in a competitive yet supportive environment reveals more about their true cultural fit than any behavioral interview.
  • Building a Diverse Pipeline: By opening up contests to a wider audience, companies can bypass traditional biases inherent in resume screening, leading to a more diverse and innovative workforce.

Beyond Anduril: Other Pioneers of Performance-Based Hiring

Anduril isn’t alone in recognizing the power of real-world challenges to identify top talent. Several other forward-thinking organizations have adopted similar, albeit varied, approaches:

Google’s Code Jam and Hash Code

For years, Google has leveraged competitive programming contests like Code Jam and Hash Code to scout for software engineering talent globally. These contests present participants with complex algorithmic problems that test their coding speed, efficiency, and problem-solving abilities. While not always directly leading to a job offer for every participant, top performers are often fast-tracked through the interview process. This allows Google to identify engineers who can perform under pressure and think creatively, rather than just those who can ace a whiteboard interview. It’s a prime example of turning abstract coding prowess into a tangible demonstration of value.

Kaggle Competitions for Data Scientists

Kaggle, now a Google subsidiary, revolutionized how data scientists prove their worth. Through its platform, companies post real-world data science problems—from predicting housing prices to identifying medical conditions from images—and offer prize money, and often, connections to jobs, to the teams that develop the best models. This creates a meritocracy where the quality of one’s predictive model speaks louder than any resume. Many leading data scientists have launched their careers or been recruited directly from their performance in Kaggle competitions. It transforms theoretical data knowledge into demonstrable insights that directly impact business outcomes.

The Human Element in the Machine Age

What makes these initiatives truly human-centered? It’s the recognition that while AI and automation are transforming tasks, the human capacity for ingenuity, adaptation, and critical thinking remains irreplaceable. These contests aren’t about finding people who can simply operate machines; they’re about finding individuals who can teach the machines, design the next generation of algorithms, and solve problems that don’t yet exist. They foster an environment of continuous learning and application, perfectly aligning with the “purposeful learning” philosophy.

The Anduril AI Grand Prix, much like Google’s and Kaggle’s initiatives, de-risks the hiring process by creating a performance crucible. It’s a pragmatic, meritocratic, and ultimately more effective way to build the teams that will define the next era of technological advancement. As leaders, our challenge is to move beyond conventional wisdom and embrace these innovative models, ensuring we’re not just ready for the future of work, but actively shaping it.

Anduril Fury


Frequently Asked Questions

What is challenge-based hiring?

Challenge-based hiring is a recruitment strategy where candidates demonstrate their skills and problem-solving abilities by completing a real-world task, project, or competition, rather than relying solely on resumes and interviews.

What are the benefits of this approach for companies?

Companies can uncover hidden talent, assess practical skills, observe cultural fit in action, and build a more diverse talent pipeline by focusing on demonstrable performance.

How does this approach benefit candidates?

Candidates get a fair chance to showcase their true abilities regardless of traditional credentials, gain valuable experience, and often get direct access to influential companies and potential job offers based purely on merit.

To learn more about transforming your organization’s talent acquisition strategy, reach out to explore how human-centered innovation can reshape your hiring practices.

Image credits: Wikimedia Commons, Google Gemini

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Tackle Your Toughest Challenge This Year

Tackle Your Toughest Challenge This Year

GUEST POST from Geoffrey A. Moore

This is the first in what I hope to be an extended series of blogs focused on a single topic: What is the toughest challenge your company faces today, and what would it take to overcome it? I’ve reached out to my network, so I have a few good ones to start with, but needless to say, I would be very interested to learn what you are up against in your enterprise. In the meantime, here is my first shot on goal:

“I think we had stopped innovating for a long time. Customers were disappointed. But over the past few years, we have made massive improvements to our products. In fact, many who use the products feel like they are best in class. Our big challenge is getting the market to recognize that we are not the company we were a decade ago. This tends to be very easy to accomplish in small pockets but is a huge challenge at scale.”

There is a whole cohort of global enterprises that are facing this conundrum, including the iconic enterprise tech companies that rode the client-server/Internet wave to become the great growth stocks of the 1990s, who then became overshadowed by the massive mobile/cloud wave that has driven consumer tech successes in this century, and who are now institutional, single-digit-growth anchor holdings in today’s value investors’ portfolios. What would it take to free their future from the pull of the past?

The answer comes in two parts. First, they have to participate in a wave of disruptive innovation that is inside the tornado, with AI and ML being likely current candidates. They don’t have to be the first mover or even the category leader, but they do have to gain a substantial share of some piece of the pie, enough for the world to see they are a real player and that their growth prospects have therefore materially changed. This is something that can — indeed must — be powered by internal forces, management committing to the risk, engineering committing to the task, go-to-market committing to the sales, and everyone competing like crazy to get enough share to be taken seriously.

This is a big deal in itself, but not as the quote above makes clear, the toughest challenge. Instead, it creates the toughest challenge, which is how to get the world to acknowledge and buy into the good work that has been done and that is continuing to be done. Specifically, the challenge is how to change the narrative.

Narratives are how we make sense of the world. They are the stories we tell about ourselves, our friends, our enemies, the products we use, the causes we participate in — you name it, if we have any stake in it, we tell stories about it. These stories circulate, and after a while, they become institutionalized as received wisdom or established reputation or brand image. As with “your father’s Oldsmobile,” everybody knows that so-and-so is such-and-such, without anyone giving it much thought. These narratives become signposts along the road of life. We expect them to stay the same. And that, of course, is what makes them so hard to change.

To change the narrative you need a forcing function. This has to be external to your enterprise, something that causes the world to reorient itself, and in so doing, to realize that its old signposts may no longer serve. In tech, we have been blessed with a plethora of forcing functions, something Joseph Schumpeter taught us to call “waves of creative destruction.” Such waves radically alter the allocation of budgets, and in so doing, they run roughshod over the old highways along with any of their signposts. To change your narrative, you have to position your enterprise in their path.

Satya Nadella’s “Cloud first, Mobile first” is a good example. Cloud threatened to creatively destroy Microsoft’s back office franchise, and mobile threatened to do the same to its PC operating system monopoly. Both were forcing functions. Now, it turns out that mobile did not work out for them, but cloud surely did. The point is, Satya’s tagline redefined Microsoft’s position, putting it in line for a whole new generation of investment. AMD is doing the same thing with AI chips, following Nvidia’s lead, just as Microsoft was following Amazon Web Services. Iconic companies do not have to lead the next wave. Nobody expects that, although Apple astoundingly did so not once, not twice, but three times within a space of little more than a decade. But because iconic enterprises have global footprints, because they are well positioned to capitalize on the new wave of change, they get the benefit of the doubt once they have demonstrated they can deliver products or services that make the grade.

That phrase “Satya’s tagline” leads me to my last point. You would think that changing the corporate narrative should be the function of corporate marketing, but it never is. First of all, it is unpopular, and marketing teams, aligned as they are with sales teams, are reluctant to do anything that would offend. Second, marketing does not have the clout. It wasn’t the tagline that anchored Microsoft’s change. It was the CEO himself, with the backing of the board.

And buried therein lies the third challenge — changing the narrative is deeply unpopular with value investors, particularly when it entails internal investments that impact earnings per share. It is not easy for a board of directors, who are continually reminded they are there to represent the interests of the shareholders, and the CEO, who is highly compensated to manage for shareholder value, to take a step back and do what they believe is the right thing for the long term.

Beneath a change in any corporate narrative, therefore, there is an underlying meta-narrative about the role of enterprise in relation to all its stakeholders. This includes its customers, partners, employees, and communities, as well as its investors. In that context, customers are family — they have skin in your game and are likely to stick with you through thick and thin. Investors, by contrast, do not. Your company is a financial instrument in their portfolio, and should it cease to perform the financial role they have in mind for it, they have no reason to hold onto it. You still need to take their interests seriously — they are your financial foundation — but they are not your reason for being. Customers are. So should you undertake to change your narrative, focus on why your customers need you to do so. They are your North Star.

That’s what I think. What do you think?

Image Credit: Pixabay

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What to Do When Your Plans Are Already Obsolete

HINT: It has something to do with strategy execution

What to Do When Your Plans Are Already Obsolete

GUEST POST from Robyn Bolton

We are three full weeks into the new year and I am curious, how is the strategy and operating plan you spent all Q3 and Q4 working on progressing? You nailed it, right? Everything is just as you expected and things are moving forward just as you planned.

I didn’t think so.

So, like many others, you feel tempted to double down on what worked before or  chase every opportunity with the hope that it will “future-proof” your business.

Stop.

Remember the Cheshire Cat, “If you don’t know where you’re going, any road will get you there.”

You DO know where you’re going because your goals didn’t change. You still need to grow revenue and cut costs with fewer resources than last year.

The map changed.  So you need to find a new road.

You’re not going to find it by looking at old playbooks or by following every path available.

You will find it by following these three steps (and don’t require months or millions to complete).

Return to First Principles

When old maps fail and new roads are uncertain, the most successful leaders return to first principles, the fundamental, irreducible truths of a subject:

  1. Organizations are systems
  2. Systems seek equilibrium and resist change when elements are misaligned
  3. People in the system do what the system allows, models, and rewards

Returning to these principles is the root of success because it forces you to pause and ask the right questions before (re)acting.

Ask Questions to Find the Root Cause

Based on the first principles, think of your organization as a lock. All the tumblers need to align to unlock the organization’s potential to get to where you need to go.  When the tumblers don’t align, you stay stuck in the dying status quo.

Every organization has three tumblers – Architecture (how you’re organized), Behavior (what leaders actually do), and Culture (what gets rewarded) – that must align to develop and execute a strategy in an environment of uncertainty and constant change.

But ensuring that you’ve aligned all three tumblers, and not just one or two, requires asking questions to get to the root cause of the challenges.

Is your leadership team struggling to align on a decision because they don’t have enough data or can’t agree on what it means? The Behavior and Culture tumblers are misaligned with the structure and incentives of Architecture

Are people resisting the new AI tools you rolled out?  Architectural incentives and metrics, and leadership communications and behaviors are preventing buy-in.

Struggling to squeeze growth out of a stagnant business?  Structures and systems combined with organization culture are reinforcing safety and a fixed mindset rather than encouraging curiosity and learning.

Align the Tumblers

When you diagnose the root causes you find the misaligned tumbler. And, in the process of bringing it into alignment, it will likely pull the others in, too.

By role modeling leadership behaviors that encourage transparent communication (no hiding behind buzzwords), quantifying confidence, and smart risk taking, you’ll also influence culture and may reveal a needed change in Architecture.

Modifying the metrics and rewards in Architecture and making sure that your communications and behavior encourage buy-in to new AI tools, will start to establish an AI-friendly culture.

Overhauling Architecture to encourage and reward actions that expand that stagnant business into new markets or brings new solutions to your existing customers, will build new leadership Behaviors will drive culture change.

Get to your Goals

It’s a VUCA/BANI world AND It’s only going to accelerate. That means that the strategy you developed last quarter and the operational plans you set last month will be obsolete by the end of the week.

But the strategy and the plan were never the goal. They were the road you planned based on the map you had.  When the map changes, the road does, too. But you can still get to the goal if you’re willing to fiddle with a lock.

Image credit: Pixabay

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We Must Stop Fooling Ourselves and Get Our Facts Straight

We Must Stop Fooling Ourselves and Get Our Facts Straight

GUEST POST from Greg Satell

Mehdi Hasan’s brutal takedown of Matt Taibbi was almost painful to watch. Taibbi, a longtime muckraking journalist of some renown, was invited by Elon Musk to review internal communications that came to be known as the Twitter Files and made big headlines with accusations regarding government censorship of social media.

Yet as Hasan quickly revealed, Taibbi got basic facts wrong, either not understanding what he was looking at, doing sloppy work or just plainly being disingenuous. What Taibbi was reporting as censorship was, in fact, a normal, deliberative process for flagging problematic content, most of which was not taken down.

He looked foolish, but I could feel his pain. In both of my books, I had similarly foolish errors. The difference was that I sent out sections to be fact-checked by experts and people with first-hand knowledge of events before I published. The truth is that it’s not easy to get facts straight. It takes hard work and humility to get things right. We need to be careful.

A Stupid Mistake

Some of the most famous business stories we hear are simply not accurate. Gurus and pundits love to tell you that after inventing digital photography Kodak ignored the market. Nothing could be further from the truth. In fact, its EasyShare line of cameras were top sellers. It also made big investments in quality printing for digital photos. The problem was that it made most of its money on developing film, a business that completely disappeared.

Another popular fable is that Xerox failed to commercialize the technology developed at its Palo Alto Research Center (PARC), when in fact the laser printer developed there saved the company. What also conveniently gets left out is that Steve Jobs was able to get access to the company’s technology to build the Macintosh because Xerox had invested in Apple and then profited handsomely from that investment.

But my favorite mistold myth is that of Blockbuster, which supposedly ignored Netflix until it was too late. As Gina Keating, who covered the story for years at Reuters, explains in her book Netflixed, the video giant moved relatively quickly and came up with a successful strategy, but the CEO, John Antioco, left after a fight with investor Carl Icahn and the strategy was reversed.

Yet that’s not exactly how I told the story. For years I reported that Antioco was fired. I even wrote it up that way in my book Cascades until I contacted the former CEO to fact-check it. He was incredibly generous with his time, corrected me and then gave me additional insights that improved the book.

To this day, I don’t know exactly why I made the mistake. In fact, as soon as he pointed it out I knew I was wrong. Somehow the notion that he was fired got stuck in my head and, with no one to correct me, it just stayed there. We like to think that we remember things as they happened, but unfortunately our brains don’t work that way.

Why We Get Fooled

We tend to imagine that our minds are some sort of machines, recording what we see and hear, then storing those experiences away to be retrieved at a later time, but that’s not how our brains work at all. Humans have a need to build narratives. We like things to fit into neat patterns and fill in the gaps in our knowledge so that everything makes sense.

Psychologists often point to a halo effect, the tendency for an impression created in one area to influence opinion in another. For example, when someone is physically attractive, we tend to infer other good qualities and when a company is successful, we tend to think other good things about it.

The truth is that our thinking is riddled with subtle yet predictable biases. We are apt to be influenced not by the most rigorous information, but what we can most readily access. We make confounding errors that confuse correlation with causality and then look for information that confirms our judgments while discounting evidence to the contrary.

I’m sure that both Matt Taibbi and I fell into a number of these pitfalls. We observed a set of facts, perceived a pattern, built a narrative and then began filling in gaps with things that we thought we knew. As we looked for more evidence, we seized on what bolstered the stories we were telling ourselves, while ignoring contrary facts.

The difference, of course, is that I went and checked with a primary source, who immediately pointed out my error and, as soon as he did, it broke the spell. I immediately remembered reading in Keating’s book that he resigned and agreed to stay on for six months while a new CEO was being hired. Our brains do weird things.

How Our Errors Perpetuate

In addition to our own cognitive biases, there are a number of external factors that conspire to perpetuate our beliefs. The first is that we tend to embed ourselves in networks that have similar experiences and perspectives that we do. Scientific evidence shows that we conform to the views around us and that effect extends out to three degrees of relationships.

Once we find our tribe, we tend to view outsiders suspiciously and are less likely to scrutinize allies. In a study of adults that were randomly assigned to “leopards” and “tigers,” fMRI studies noted hostility to out-group members. Research from MIT suggests that when we are around people we expect to agree with us, we don’t check facts closely and are more likely to share false information.

In David McRraney’s new book, How to Change a Mind, he points out that people who are able to leave cults or reject long-held conspiracy theories first build alternative social networks. Our associations form an important part of our identity, so we are loath to change our opinions that signal inclusion into our tribe. There are deep evolutionary forces that drive us to be stalwart citizens of the communities we join.

Taibbi was, for years, a respected investigative journalist at Rolling Stone magazine. There, he had editors and fact checkers to answer to. Now, as an independent journalist, he has only the networks that he chooses to give him feedback and, being human like all of us, he subtly conforms to a set of dispositions and perspectives.

I probably fell prey to similar influences. As someone who researches innovation, I spend a lot of time with people who regard Netflix as a hero and Blockbuster as something of a bumbler. That probably affected how I perceived Antioco’s departure from the company. We all have blind spots and fall prey to the operational glitches in our brains. No one is immune.

Learning How To Not Fool Ourselves

In one of my favorite essays the physicist Richard Feynman wrote, “The first principle is that you must not fool yourself — and you are the easiest person to fool. So you have to be very careful about that,” He goes on further to say that simply being honest isn’t enough, you also need to “bend over backwards” to provide information so that others may prove you wrong.

So the first step is to be hyper-vigilant and aware that your brain has a tendency to fool you. It will quickly grasp on the most readily available data and detect patterns that may or may not be there. Then it will seek out other evidence that confirms those initial hunches while disregarding contrary evidence.

This is especially true of smart, accomplished people. Those who have been right in the past, who have proved the doubters wrong, are going to be less likely to see the warning signs. In many cases, they will even see opposition to their views as evidence they are on the right track. There’s a sucker born every minute and they’re usually the ones who think that they’re playing it smart.

Checking ourselves isn’t nearly enough, we need to actively seek out other views and perspectives. Some of this can be done with formal processes such as pre-mortems and red teams, but a lot of it is just acknowledging that we have blind spots, building the habit of reaching out to others and improving our listening skills.

Perhaps most of all, we need to have a sense of humility. It’s far too easy to be impressed with ourselves and far too difficult to see how we’re being led astray. There is often a negative correlation between our level of certainty and the likelihood of us being wrong. We all need to make an effort to believe less of what we think.

— Article courtesy of the Digital Tonto blog
— Image credit: 1 of 1,050+ FREE quotes for your meetings & presentations at http://misterinnovation.com

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You Cannot Be Too Busy to Prioritize

You Cannot Be Too Busy to Prioritize

GUEST POST from Stefan Lindegaard

Most teams I meet are swamped. Everyone is busy. Prioritization becomes a task on its own – or a quick fix to sort the chaos.

But here is the trap:

Prioritization often defaults to short-term execution.

We solve what is urgent.

We push what is noisy.

We clear the decks – but rarely step back.

What gets left behind?

  • Long-term initiatives
  • Capability-building
  • Strategic reflection
  • Learning, networking, and future growth

All of it gets labelled “nice to have.”

And that is where performance erodes over time.

High-performance leadership means protecting what matters – even when it is not urgent.

It is not just about doing things right. It is about making space for the things that keep you moving in the right direction.

So next time someone says, “We are too busy to focus on this right now” …

Ask: What will it cost us later if we do not?

Image Credit: Stefan Lindegaard

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Supercritical Water Oxidation (SCWO)

Designing the Future of Waste Destruction

LAST UPDATED: January 22, 2026 at 5:36 PM

Supercritical Water Oxidation (SCWO)

GUEST POST from Art Inteligencia

As we navigate the complexities of 2026, the global innovation community is increasingly focused on sustainable competitive advantage. But sustainability is no longer just a buzzword for the Environmental, Social, and Governance (ESG) report; it is a fundamental engineering and human-centered challenge. We are currently witnessing a paradigm shift in how we handle the “unhandleable” — toxic wastes like Per- and Polyfluoroalkyl Substances (PFAS), chemical agents, and industrial sludges. At the heart of this revolution is Supercritical Water Oxidation (SCWO).

Innovation, as I often say, is about increasing the probability of the impossible. For decades, the permanent destruction of “forever chemicals” felt like a biological and chemical impossibility. SCWO changes that math by leveraging the unique properties of water at its critical point — 374°C and 22.1 MPa — to create a “homogeneous” environment where organic waste is effectively incinerated without the flame, converting toxins into harmless water, carbon dioxide, and salts.

“Innovation transforms the useful seeds of invention into widely adopted solutions valued above every existing alternative. With SCWO, we aren’t just managing waste; we are redesigning our relationship with the environment by choosing permanent destruction over temporary storage.” — Braden Kelley

The Mechanism of Change

In a standard liquid state, water is a polar solvent. However, when pushed into a supercritical state, its dielectric constant drops, and it begins to behave like a nonpolar organic solvent. This allows oxygen and organic compounds to become completely miscible. The result? A rapid, high-efficiency oxidation reaction that happens in seconds. For the human-centered leader, this represents more than just a chemical reaction; it represents agility. It allows us to process waste on-site, reducing the carbon footprint and risk associated with transporting hazardous materials.

Case Study 1: Eliminating the “Forever” in PFAS

In a recent multi-provider demonstration involving 374Water, Battelle, and Aquarden, SCWO technology was tested against Aqueous Film-Forming Foam (AFFF) contaminated with high concentrations of PFAS. The results were staggering. The systems achieved a 99.99% reduction in total PFAS. By shifting from a “filtration and storage” mindset to a “destruction” mindset, these organizations proved that the technical debt of past industrial eras can be settled permanently. This is a classic example of using curiosity to solve a legacy problem that traditional ROI models would have ignored.

Market Leaders and The Innovation Ecosystem

The commercialization of SCWO is being driven by a dynamic ecosystem of established players and agile startups. 374Water (NASDAQ: SCWO) remains a prominent leader, recently expanding its board to accelerate the global rollout of its “AirSCWO” systems. Revive Environmental has also made significant waves by deploying its “PFAS Annihilator,” a mobile SCWO unit that can treat up to 500,000 gallons of landfill leachate daily. Other key innovators include Aquarden Technologies in Denmark, Battelle, and specialized engineering firms like Chematur Engineering AB. These companies aren’t just selling hardware; they are selling a future where waste management is a closed-loop system.

Case Study 2: Industrial Sludge and Energy Recovery

A European chemical manufacturing plant integrated a tubular SCWO reactor to handle hazardous organic sludges that previously required expensive off-site incineration. Not only did the SCWO process destroy 99.9% of the toxins, but the plant also implemented a heat recovery system. Because the oxidation reaction is exothermic, they were able to capture the excess heat to pre-heat the influent waste, significantly lowering operational costs. This transformation of a cost-center (waste disposal) into a self-sustaining utility is exactly the type of systemic innovation I encourage leaders to pursue.

Final Thoughts: The Curiosity Advantage

The half-life of our current waste management techniques is shrinking. Landfills are filling, and regulations are tightening. The organizations that thrive will be those that exercise the collective capacity for curiosity to adopt “future-present” technologies like SCWO. We must stop asking “How do we hide the waste?” and start asking “How do we unmake it?”


Supercritical Water Oxidation (SCWO) FAQ

What are the primary benefits of SCWO over traditional incineration?

SCWO operates in a closed system at lower temperatures than incineration, preventing the formation of harmful NOx, SOx, and dioxins. It also allows for higher destruction efficiency (often >99.99%) for persistent organic pollutants like PFAS.

Can SCWO systems recover energy from waste?

Yes. The oxidation process in SCWO is exothermic (it releases heat). Many modern commercial systems are designed to capture this energy to pre-heat the influent waste or generate steam for other industrial processes.

Is SCWO technology ready for large-scale industrial use?

While historically challenged by corrosion and salt buildup, 2026-era SCWO systems from leaders like 374Water and Revive Environmental use advanced materials and “transpiring wall” designs to handle these issues, making them viable for municipal and industrial scale-up.

Disclaimer: This article speculates on the potential future applications of cutting-edge scientific research. While based on current scientific understanding, the practical realization of these concepts may vary in timeline and feasibility and are subject to ongoing research and development.

Image credits: Google Gemini

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Four Ways to Manage Projects

Four Ways to Manage Projects

GUEST POST from Mike Shipulski

There are four ways to run projects.

One – 80% Right, 100% Done, 100% On Time, 100% On Budget

  • Fix time
  • Fix resources
  • Flex scope and certainty

Set a tight timeline and use the people and budget you have. You’ll be done on time, but you must accept a reduced scope (fewer bells and whistles) and less certainty of how the product/service will perform and how well it will be received by customers. This is a good way to go when you’re starting a new adventure or investigating new space.

Two – 100% Right, 100% Done, 0% On Time, 0% On Budget

  • Fix resources
  • Fix scope and certainty
  • Flex time

Use the team and budget you have and tightly define the scope (features) and define the level of certainty required by your customers. Because you can’t predict when the project will be done, you’ll be late and over budget, but your offering will be right and customers will like it. Use this method when your brand is known for predictability and stability. But, be weary of business implications of being late to market.

Three – 100% Right, 100% Done, 100% On Time, 0% On Budget

  • Fix scope and certainty
  • Fix time
  • Flex resources

Tightly define the scope and level of certainty. Your customers will get what they expect and they’ll get it on time. However, this method will be costly. If you hire contract resources, they will be expensive. And if you use internal resources, you’ll have to stop one project to start this one. The benefits from the stopped project won’t be realized and will increase the effective cost to the company. And even though time is fixed, this approach will likely be late. It will take longer than planned to move resources from one project to another and will take longer than planned to hire contract resources and get them up and running. Use this method if you’ve already established good working relationships with contract resources. Avoid this method if you have difficulty stopping existing projects to start new ones.

Four – Not Right, Not Done, Not On Time, Not On Budget

  • Fix time
  • Fix resources
  • Fix scope and certainty

Though almost every project plan is based on this approach, it never works. Sure, it would be great if it worked, but it doesn’t, it hasn’t and it won’t. There’s not enough time to do the right work, not enough money to get the work done on time and no one is willing to flex on scope and certainty. Everyone knows it won’t work and we do it anyway. The result – a stressful project that doesn’t deliver and no one feels good about.

Image credit: Pexels

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