Overcoming Barriers to Innovation in Tech Companies

Your organization says it wants innovation. Your processes suggest otherwise. I watched a brilliant executive spend 6 weeks getting approval to test a $50/month software tool. By the time she got the green light, two competitors had already deployed similar solutions and moved ahead. This isn’t stupidity. It’s institutional logic taken to its absurd conclusion. Here’s what’s really happening: Every approval layer was added for good reasons. Every committee was formed to prevent real disasters. Every process was implemented to solve actual problems. But collectively, they’ve created something no one intended: organizations so protected from making bad decisions that they can’t make ANY decisions. The “We Already Have a Process” Problem Walk into any corporate meeting about innovation and listen to the language: • “How does this align with our existing governance framework?” • “What’s the ROI justification for deviating from proven methodologies?” • “We need to ensure this integrates with our current compliance requirements.” These aren’t questions. They’re defensive mantras. The underlying message is clear: If your innovation doesn’t fit our existing framework, the problem isn’t with the framework—it’s with your innovation. The Expert Authority Trap The CIO who built their career preventing security breaches. The CFO who optimized cost structures. The Legal counsel who knows every compliance pitfall. These aren’t obstructionist bureaucrats. They’re experts whose professional identity depends on understanding why things might go wrong. But expertise optimized for preventing known problems becomes a barrier to discovering unknown opportunities. What Actually Works The organizations winning this game don’t eliminate their governance systems—they create parallel tracks. → High-risk decisions get rigorous 6-week evaluations → Low-risk experiments get 6-day pilot approvals → Different types of innovation get different types of oversight The Real Challenge This isn’t about process—it’s about identity. When systems change, people must grapple with fundamental questions: What’s my role? What’s my value? Who am I in this new world? The IT professional trained to prevent problems must learn to enable possibilities. The finance analyst who eliminated costs must develop intuition about when spending money to learn is the most economical choice. The Bottom Line Organizations that thrive in the next decade won’t choose between innovation and control. They’ll master both simultaneously. They’ll develop what I call “institutional ambidexterity”—the ability to be stable AND adaptive, careful AND experimental, systematic AND creative. The question isn’t whether your organization can change. It’s whether your organization can learn to change intelligently. What’s the biggest innovation killer in your organization? Share your story in the comments—I read every one.

Last year at Microsoft, I spent months untangling Microsoft Copilot’s global rollout. AI’s biggest roadblocks? They weren’t technical at all. Imagine a meeting room in Kauala Lumpur. Someone says, “We’ve always done it this way.” Another whispers, “AI will replace our jobs.” A third leans in: “Our data is too sensitive for AI.” Familiar script, right? Truth is, the toughest challenges weren’t coding or infrastructure, they were deep-seated habits and fears. The breakthrough? It always came from the believers. In every successful Copilot launch, we found our internal champions early like GAURAV JOSHI, Sergey Oreshin, the ones eager to explore, not argue. We trained them, armed them with quick wins, and let their teams see real ROI instead of vague promises. Progress snowballed from those first pockets of success. Here’s a three-step playbook I swear by: 1️⃣ Start with the believers: Map out your internal AI curiosity. 2️⃣ Equip and coach them: Focus on real teams, not abstract rollouts. 3️⃣ Let their results speak: Showcase ROI, then scale, fear melts before evidence. Every company talks about technical innovation, but it’s culture that makes or breaks AI adoption. So, what’s the single biggest cultural barrier you’ve seen hold back real innovation? Share your story below and let’s gather ideas that move the needle. (This is why I collect lessons weekly in Executive AI Essentials—check my profile if you want the next playbook.) PS: Pic made in wonderful Malaysia, but Nano Banana ironed my shirt :)

Despite the cultural and language barrier — with 90% of the team primarily speaking Russian — last year, I tested a 'reverse mentoring' program within our organization. I recognized the invaluable insights and digital fluency of our younger members and facilitated structured sessions where they mentored senior executives. It started with informal coffee meetings and progressed to virtual sessions where ideas flowed freely over collaborative digital platforms. The results were remarkable: our senior leaders gained technical knowledge and a fresh perspective on innovation and market dynamics. Simultaneously, our junior colleagues felt empowered and appreciated, their confidence growing with each session. This initiative not only boosted team morale but also fostered a more inclusive workplace culture where creativity and mutual respect flourished naturally. My recommendation? GO FOR IT! Cognitive biases like the Dunning-Kruger effect, for example, really can hinder organisational success by limiting openness to new ideas and technological advancements. Yes, it affects the bottomline big-time. As industries evolve rapidly, fostering this sort of exchange of knowledge becomes essential for maintaining agility and staying ahead in competitive markets.

✨ I'm happy to share my latest article, “The Three Traps That Stymie Reinvention,” featured on the cover of MIT Sloan Management Review. In this piece, I distill over a decade of research into insights for leaders navigating the challenges of reinvention—whether prompted by new opportunities, technological shifts, or market disruptions. Through interviews, focus groups, and workshops with over 1,000 individuals across a wide range of industries, I found a core challenge of reinvention is that an organization’s past success can either be the greatest asset or the chief liability to its future growth. The article examines three common traps that limit a company’s ability to embrace breakthrough innovation: organizational identity, structural architecture, and limited collaboration. It highlights how to avoid these traps by laying the appropriate communications groundwork to foster a coherent identity, setting up new organizational structures, and paying close attention to interpersonal dynamics at the team and individual level. Examples from my field research at Corning, Moleskine, independent bookstores, and Swiss watchmakers illustrate how these strategies can be successfully implemented. The article also offers a self-assessment exercise to evaluate your organization’s readiness to reinvent itself. If you’re curious about positioning your organization for sustainable growth and reinvention, take a look and share your thoughts!

Innovation efforts often stall before they start because organizations misread their own unreadiness. They mistake successful pilots for true adoption, ignore the emotional scars of past failures, and the structural friction embedded in processes, governance, incentives, and culture. Entrenched vendors exploit this by offering “safe” roadmaps that optimize existing workflows but limit genuine transformation. Recognizing the realities of unreadiness and addressing them through a company-owned strategy and independent architectural thinking is not just essential for innovation in general; it is the single most important prerequisite for implementing AI productively, rather than theatrically, in the years ahead. #InnovationReadiness #InnovationUnreadiness #AIReadiness cc Gregory LaBlanc at UC Berkeley Sutardja Center for Entrepreneurship and Technology (SCET)

The 2025 Nobel Prize just explained why your AI strategy is failing. Joel Mokyr, Philippe Aghion, and Peter Howitt won for their work on creative destruction, the process where innovation creates growth by destroying what came before. Their formula: g = λln(γ) Growth comes from the rate of innovation (λ) times the size of breakthroughs (γ). But here's what they proved that most leaders ignore: Every big gain requires destroying something that currently works. This isn't abstract economics. It's playing out in every boardroom right now. Why do 94% of leaders say they're unhappy with innovation efforts? Why do 80-90% of innovation labs fail? Because companies can't bring themselves to embrace creative destruction from the inside. They won't cannibalize profitable products. They protect legacy systems. They fund AI as a side bet, not a strategic imperative. And then they wonder why startups had no such hesitation. The question no one wants to answer: How do you lead an organization to enthusiastically build the thing that will make your current cash cow obsolete? I spent the last decade helping companies innovate. I've seen the same six failure modes repeatedly. But through the lens of the Nobel laureates' work, I am taking a different approach to explaining them: These aren't innovation failures. They're organizational immune responses to creative destruction. Your company isn't bad at innovation. It's designed to resist it. I've written a new piece that breaks down: The six barriers blocking creative destruction Why each is a rational, self-preserving behavior How to diagnose which barriers are killing your growth Actionable frameworks for each barrier This is Part 1 of a 7-part series connecting Nobel Prize-winning economics to the daily reality of leading in the AI era. Link to the full piece in the comments 👇 If you're an executive wrestling with AI strategy or innovation, I want to hear from you: What's blocking your initiatives? Where do you see tension between protecting the present and building the future? What leadership challenges keep you up at night? Your insights will shape the rest of this series, so shoot me a note. The dot-com crash didn't end the Internet. It refined it. The AI reckoning won't end innovation. It will separate leaders who embrace creative destruction from those who cling to what worked yesterday. Which side will you be on?

The most significant barrier to innovation is that organizations are designed to protect their main business. This means they have many disincentives to invest in and nurture new ideas and business units that will define their future. An excellent book on this topic is ”Loonshots” by Safi Bahcall. He outlines the conditions required for innovation, one of which is that if you don't create a barrier between your "franchise" and your "innovation," the franchise will always win. We experienced this at Amazon. When it was time to invent our digital media offerings, Jeff understood that a different management approach was required for new product innovation versus the core business. For example, instead of asking me to build new digital media products while I was managing the core US Books, Music, and Video businesses, he pulled me out of that role, and I was made a Single-Threaded leader for digital media—building what would become Amazon Music and Prime Video. The other important management decision Jeff made was that he prioritized spending time with me to brainstorm, ideate, iterate, and manage these new businesses. I met with him multiple times a week to align on the “who”, “what”, and “how” we were building in digital media. This meant that my decisions and plans were equally Jeff’s decisions and plans. We were aligned, and Jeff was all-in on what we were doing. We would never have achieved success without Jeff’s support and approval; the resistance and gravitational pull of the rest of the company would have killed these new businesses in their early years, when they were struggling to grow and make a profit. You see, a new product or service is like a newborn baby — turning this baby into an effective adult is going to require a lot of time, care, and feeding. Everyone else in the company is managing an adult business, so when they look at your new venture, they just see a baby draining the enterprise's resources rather than an adult contributing new ones. The takeaway for executives: a) Innovation is not a side gig. If your leaders are managing both the core and the new offerings, the core will always take priority. b) Separation is necessary. New ideas need to be nurtured in an environment free from the biases of the established business. True innovation requires both the courage to take your best leaders and builders away from your biggest businesses and the patience and support to build new ones.

5 invisible forces that block innovation (and hide in even the best teams). By the time you realize innovation is stuck, it’s probably already been stalled for 12 months. Leaders often assume innovation gets blocked by lack of ideas or talent. In reality, it’s much more subtle. 5 quiet blockers of innovation: 1. Success Becomes a Straitjacket When what’s always worked keeps working, there's no urgency to try something new.  The team becomes optimized for consistency, not creativity. 2. The Pressure to Perform Kills Risk High expectations create a culture where failure is taboo.  Innovation needs room to fail.  Without psychological safety, bold ideas stay buried. 3. Over-Optimization Leaves No Slack Every hour is scheduled, every resource allocated.  But innovation lives in the white space.  No slack = no spark. 4. Groupthink in Disguise Alignment is good, until it morphs into uniform thinking. Breakthroughs require dissent, debate, and diverse perspectives. 5. Too Much Focus on the Now Top performers solve today’s problems. But innovation demands time for what’s next. When urgent always beats important, the future gets shortchanged. Don’t assume innovation will just “happen.” → Make space for exploration → Reward smart risks → Invite diverse thinking → Tolerate failure along the way Innovation doesn’t compete with performance.  It fuels the next level of it. → Which of these 5 roadblocks have you seen most often? -- Hi, I’m an executive coach helping leaders get results, lead strategically, and excel in their careers. 🔹 Follow me (LK Pryzant) for more.

I most often inherited existing teams at The Walt Disney Company, Microsoft, and VMware. Each time, one of the biggest challenges was the org chart itself, not the actual people, when trying to build high-performing, innovative teams that service the business and customers well. When I inherited a team, I’d start with an inventory. I’d map the people and their skills, identify what's working, and what's not. Figure out the overlaps and gaps. Then design short-term fixes and longer-term plans tied to where the business processes were going. But here's what I learned across three major companies: traditional org charts often create silos that kill cross-functional decisions and innovation. You can often see high-performing teams within their narrowly defined business functions. Sales does sales well. R&D does R&D well. Operations run smoothly. But when two middle managers from different silos want to collaborate on something that could help the whole business, they often hit a wall. Are they empowered to act? Or do they need to escalate up their chains, get approval at the top, then wait for decisions to flow back down? We all know the answer. And if they skip the process and make the right call, maybe they get rewarded. But if it's wrong, the organization comes down hard with "don't ever do that again." That asymmetry destroys innovation. The best organizations break down these barriers. They establish clear decision rights across silos. They empower middle managers with guardrails so they can act without full escalation. They tune the structure to have just enough for compliance and clarity, but not so much that it slows delivery. Companies oscillate between "just ship it" and "tight governance." The bigger you get, the harder this balance becomes.

In tech, everyone talks innovation. But the real game-changer? Creating a team that isn’t afraid to fail ↓ My biggest edge in scaling tech teams? I borrowed it straight from IO psychology. It's the lever nobody talks about: Psychological safety. In the fast-paced world of tech, where innovation is king, we often overlook the human element. A team that feels safe to take risks is a team that innovates. How do you create this environment? 1. Encourage open dialogue 2. Celebrate failures as learning opportunities 3. Lead by example - admit your own mistakes 4. Reward vulnerability and honesty 5. Foster a culture of constructive feedback When team members feel psychologically safe, they're more likely to: - Share innovative ideas - Take calculated risks - Collaborate effectively - Learn from failures - Adapt to change quickly The result? A more agile, creative, and productive tech team. This approach has helped me build high-performing teams that consistently deliver groundbreaking solutions. Remember: Technology is our tool, but people are our greatest asset. Invest in your team's psychological safety and watch your innovation soar. Create an environment where your tech talent can truly thrive.