by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
The Aviation and SAF Revolution: What Business Leaders Need to Know Now
Opening Summary
According to the International Air Transport Association (IATA), the aviation industry is projected to require 450 billion liters of Sustainable Aviation Fuel (SAF) annually by 2050 to meet net-zero carbon emissions targets. That’s a staggering figure when you consider that current global SAF production sits at just over 300 million liters annually. In my work with major airlines and energy companies, I’ve witnessed firsthand the immense pressure building in boardrooms worldwide. We’re not just talking about incremental changes here – we’re witnessing the complete reinvention of an industry that has operated on essentially the same energy model for nearly a century. The current state of aviation reminds me of the early days of digital transformation I observed in other sectors: a perfect storm of regulatory pressure, technological innovation, and shifting consumer expectations is forcing an industry-wide pivot that will redefine air travel as we know it. What’s happening today with SAF isn’t just an environmental initiative; it’s the foundation of aviation’s next century.
Main Content: Top Three Business Challenges
Challenge 1: The Production Scale-Up Dilemma
The most immediate challenge I see in my consulting work with airline executives is the sheer scale of production required. As noted by McKinsey & Company, SAF currently accounts for less than 0.1% of global jet fuel consumption, yet we need to scale this to 65% by 2050 to meet industry commitments. The infrastructure gap is monumental. I recently advised a European airline group that discovered building a single new SAF production facility requires capital investments exceeding $1 billion and timelines stretching 5-7 years. The Harvard Business Review highlights that this scale-up challenge represents one of the most complex industrial transformations since the digital revolution. What makes this particularly challenging is that airlines can’t simply wait for production to materialize – they need to secure supply now to meet their 2030 emissions targets, creating a classic chicken-and-egg problem that’s paralyzing decision-making in many organizations.
Challenge 2: The Economic Viability Gap
The second major challenge that keeps coming up in my strategic sessions with aviation leaders is the significant cost differential. According to Deloitte research, SAF currently costs 2-4 times more than conventional jet fuel, creating an unsustainable economic model without intervention. I’ve seen airlines struggle with how to absorb these costs without pricing themselves out of the market. The World Economic Forum notes that closing this price gap requires coordinated action across the entire value chain – from feedstock suppliers to refiners to airlines and ultimately to passengers. What many executives don’t realize is that this isn’t just a fuel cost issue; it’s a complete business model transformation. The airlines that will succeed are those rethinking their entire operational and financial structures, not just their fuel procurement strategies.
Challenge 3: Technological and Infrastructure Limitations
The third challenge that I consistently observe in my future readiness assessments is the technological diversity and infrastructure compatibility issues. PwC’s aviation practice reports that there are at least seven different SAF production pathways currently being developed, each with different feedstock requirements, energy inputs, and scalability profiles. This creates massive uncertainty for investors and operators alike. During a recent workshop with an airport authority, we discovered that their existing fuel storage and distribution systems would require significant modifications to handle certain types of SAF blends. Accenture’s research confirms that infrastructure compatibility represents a multi-billion dollar challenge that the industry is only beginning to quantify. The risk here is that we could see fragmented adoption patterns that slow down the overall transition.
Solutions and Innovations
In my consulting practice, I’m seeing several innovative approaches gaining traction. First, major airlines like United and Delta are entering into long-term offtake agreements with SAF producers, effectively de-risking production investments. These 10-year contracts provide the certainty needed to finance new production facilities. Second, I’m observing increased collaboration across traditional industry boundaries – energy companies, agricultural producers, and technology firms are forming unprecedented partnerships to solve the feedstock and production challenges.
Digital Technologies and Blockchain
Third, digital technologies are playing a crucial role. Blockchain platforms are being deployed to create transparent SAF certification and tracking systems, addressing the critical issue of sustainability verification. Artificial intelligence is optimizing feedstock sourcing and production processes, driving down costs through improved efficiency. Fourth, I’m seeing progressive airports like Amsterdam Schiphol and Los Angeles International implementing SAF infrastructure upgrades as part of their master plans, recognizing that early investment will create competitive advantages.
Commercial-Scale Production Success
The most exciting development I’ve witnessed comes from companies like LanzaJet and Neste, who are demonstrating that commercial-scale SAF production is achievable today. Their success proves that with the right technology partnerships and market structures, we can overcome the scale-up challenge.
The Future: Projections and Forecasts
Based on my analysis of current trajectories and technological developments, I project that SAF will account for at least 10% of global aviation fuel by 2035. Goldman Sachs Research estimates the SAF market will grow to $30 billion annually by 2030, representing one of the fastest-growing segments in the energy transition. What many leaders don’t realize is that this transformation will create entirely new business models and revenue streams.
2030 Breakthrough Developments
Looking ahead to 2030, I foresee several breakthrough developments. First, we’ll see the emergence of cost-competitive SAF as production scales and technologies mature. Second, I predict that synthetic fuels produced using green hydrogen and captured carbon will begin complementing bio-based SAF, diversifying the supply base. Third, digital fuel passports will become standard, enabling precise emissions tracking and creating new value for lower-carbon travel options.
Investment and Valuation Impact
The Boston Consulting Group projects that airlines that successfully navigate this transition could see valuation premiums of 15-20% by 2030 as investors reward sustainability leadership. Meanwhile, laggards risk facing regulatory restrictions and consumer backlash. The transformation timeline is aggressive: we’ll see major infrastructure investments through 2025, significant production scale-up from 2026-2030, and cost parity emerging around 2032-2035.
Final Take: 10-Year Outlook
Over the next decade, aviation will undergo its most significant transformation since the jet age. SAF will evolve from a niche product to a mainstream fuel source, fundamentally changing how airlines operate and compete. We’ll witness the emergence of new power centers in the energy value chain and see traditional airline business models disrupted by sustainability-driven competition. The winners will be those organizations that treat SAF adoption not as a compliance exercise but as a strategic opportunity to redefine their market position. The risks of inaction are substantial – including regulatory penalties, reputational damage, and competitive irrelevance. However, the opportunities for first-movers are equally significant, including premium pricing power, investor preference, and market leadership in the new sustainable aviation ecosystem.
Ian Khan’s Closing
The future of aviation isn’t just about flying cleaner – it’s about flying smarter, more efficiently, and with greater purpose. As I often tell the leaders I work with, “The most sustainable fuel isn’t just what powers the aircraft, but what powers the vision behind it.”
To dive deeper into the future of Aviation and SAF and gain actionable insights for your organization, I invite you to:
- Read my bestselling books on digital transformation and future readiness
- Watch my Amazon Prime series ‘The Futurist’ for cutting-edge insights
- Book me for a keynote presentation, workshop, or strategic leadership intervention to prepare your team for what’s ahead
About Ian Khan
Ian Khan is a globally recognized keynote speaker, bestselling author, and prolific thinker and thought leader on emerging technologies and future readiness. Shortlisted for the prestigious Thinkers50 Future Readiness Award, Ian has advised Fortune 500 companies, government organizations, and global leaders on navigating digital transformation and building future-ready organizations. Through his keynote presentations, bestselling books, and Amazon Prime series “The Futurist,” Ian helps organizations worldwide understand and prepare for the technologies shaping our tomorrow.
by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
Space Travel in 2035: My Predictions as a Technology Futurist
Opening Summary
According to the World Economic Forum, the global space economy is projected to reach $1.8 trillion by 2035, up from $630 billion in 2023. This staggering growth represents one of the most significant economic transformations I’ve witnessed in my career as a futurist. What was once the exclusive domain of government agencies has exploded into a vibrant commercial ecosystem where private companies are driving unprecedented innovation. In my work advising Fortune 500 companies and government organizations, I’ve seen firsthand how space technologies are becoming integral to business strategy across multiple industries. We’re not just talking about satellite communications anymore – we’re looking at manufacturing in microgravity, asteroid mining, space tourism, and interplanetary infrastructure development. The current state of space travel reminds me of the early days of the internet – we know something massive is happening, but we’re only beginning to grasp its full implications. The transformation ahead will redefine how we live, work, and do business on Earth and beyond.
Main Content: Top Three Business Challenges
Challenge 1: The Astronomical Cost Barrier and Infrastructure Gap
The single biggest challenge facing the space industry today is the immense cost of access to orbit and beyond. While companies like SpaceX have dramatically reduced launch costs, we’re still looking at millions per mission. As noted by McKinsey & Company, developing sustainable space infrastructure requires capital investments that exceed what most private companies can shoulder alone. I’ve consulted with organizations that want to experiment with microgravity manufacturing or space-based data centers, but the financial barriers remain prohibitive. The infrastructure gap extends beyond just launch capabilities – we need sustainable life support systems, orbital habitats, and interplanetary transportation networks. Harvard Business Review recently highlighted that the lack of standardized space infrastructure creates significant operational risks for early adopters. This isn’t just about getting to space; it’s about creating the economic ecosystem that makes staying in space viable.
Challenge 2: Regulatory Uncertainty and International Governance
In my discussions with space industry leaders, regulatory complexity consistently emerges as a critical bottleneck. The current international framework, governed by outdated treaties from the 1960s, is ill-equipped to handle commercial space mining, orbital traffic management, or lunar development. Deloitte research shows that 78% of space industry executives cite regulatory uncertainty as their top concern for long-term planning. I’ve seen promising space ventures delayed or restructured due to unclear licensing requirements and liability frameworks. The situation becomes even more complex when we consider space debris management – with over 130 million pieces of orbital debris currently tracked by NASA, we’re facing a potential cascade of collisions that could render key orbits unusable. Without clear international standards and enforcement mechanisms, we risk creating a tragedy of the commons in Earth’s orbit.
Challenge 3: Talent Development and Workforce Transformation
The space industry faces a critical shortage of specialized talent that extends far beyond rocket scientists. According to PwC’s space industry analysis, the sector will need over 100,000 new professionals in the next decade across disciplines including space law, orbital mechanics, extraterrestrial resource management, and space medicine. In my futurist work, I emphasize that we’re not just building rockets – we’re building entire economic systems in space. This requires a workforce that understands both technical challenges and business implications. The Harvard Business Review recently noted that the competition for space talent is creating salary inflation that could price smaller innovators out of the market. More fundamentally, we need educational institutions to develop entirely new curricula that prepare students for careers that don’t yet exist – from asteroid mining operations to Martian colony management.
Solutions and Innovations
Several groundbreaking innovations are addressing these challenges head-on. Reusable rocket technology, pioneered by companies like SpaceX and Blue Origin, has already reduced launch costs by over 90% compared to a decade ago. I’ve observed how this cost reduction is enabling new business models that were previously unimaginable – from small satellite constellations to commercial space stations.
In-Space Manufacturing
In-space manufacturing represents another transformative solution. Companies like Made In Space are developing 3D printing technologies that can manufacture components in microgravity, reducing the need to launch everything from Earth. According to Accenture’s space technology report, in-orbit manufacturing could create a $10 billion market by 2030. This approach directly addresses the infrastructure gap by enabling the construction of larger structures in space than could ever be launched complete.
Artificial Intelligence in Space Operations
Artificial intelligence is playing an increasingly critical role in managing space operations. I’ve worked with organizations implementing AI systems for orbital traffic management, predictive maintenance of satellite constellations, and autonomous navigation. These systems help mitigate regulatory challenges by enabling safer operations in crowded orbital environments.
Blockchain for Space Resource Management
Blockchain technology is emerging as a surprising but powerful solution for space resource management. Several companies are developing blockchain-based systems for tracking space resources, managing satellite communications, and even establishing property rights for extraterrestrial resources. While the regulatory framework is still evolving, these technological solutions are creating the infrastructure for future governance systems.
The Future: Projections and Forecasts
Looking ahead to 2035, I project several transformative developments based on current trajectories and technological roadmaps. Morgan Stanley estimates the space economy could reach $3 trillion by 2040, but I believe we’ll hit that milestone sooner if current innovation rates continue. The next decade will see the establishment of permanent human presence on the Moon, with NASA’s Artemis program serving as the catalyst for commercial lunar development.
Asteroid Mining
What if we could mine asteroids for precious metals? According to IDC research, asteroid mining could become economically viable within the next 15 years, potentially creating the first trillionaires while fundamentally reshaping global commodity markets. I predict the first commercial asteroid mining mission will launch before 2030, with operational mines established by 2035.
Satellite Internet Market
The satellite internet market will mature into a $100 billion annual industry by 2030, as projected by Goldman Sachs, but the real transformation will come from space-based solar power. Several countries and private companies are developing systems to collect solar energy in space and beam it to Earth, potentially providing limitless clean energy. I foresee the first operational space-based solar power station coming online by 2032.
Space Manufacturing
Perhaps most significantly, I project that space manufacturing will become a $50 billion industry by 2035. The unique properties of microgravity enable the production of pharmaceuticals, materials, and electronics that are impossible to create on Earth. In my consulting work, I’m already seeing pharmaceutical companies planning orbital research facilities.
Final Take: 10-Year Outlook
Over the next decade, space travel will transform from an exclusive government-dominated field into a vibrant, multi-trillion-dollar commercial ecosystem. We’ll witness the emergence of space as the eighth continent – not just a destination for exploration, but a permanent extension of human economic activity. The most significant opportunities will emerge in space-based data services, orbital manufacturing, and resource extraction. However, this growth brings substantial risks, including orbital congestion, space debris management, and the potential for conflict over celestial resources. Organizations that begin developing their space strategies today will be positioned to lead in this new frontier. The companies that thrive will be those that view space not as a separate industry, but as an integral component of their terrestrial operations and long-term vision.
Ian Khan’s Closing
The future of space travel represents humanity’s greatest opportunity for growth and discovery since the age of exploration. As I often say in my keynotes, “Space is not the final frontier – it’s the next frontier of human potential and economic growth.” The organizations that embrace this reality today will shape our interplanetary future tomorrow.
To dive deeper into the future of Space Travel and gain actionable insights for your organization, I invite you to:
- Read my bestselling books on digital transformation and future readiness
- Watch my Amazon Prime series ‘The Futurist’ for cutting-edge insights
- Book me for a keynote presentation, workshop, or strategic leadership intervention to prepare your team for what’s ahead
About Ian Khan
Ian Khan is a globally recognized keynote speaker, bestselling author, and prolific thinker and thought leader on emerging technologies and future readiness. Shortlisted for the prestigious Thinkers50 Future Readiness Award, Ian has advised Fortune 500 companies, government organizations, and global leaders on navigating digital transformation and building future-ready organizations. Through his keynote presentations, bestselling books, and Amazon Prime series “The Futurist,” Ian helps organizations worldwide understand and prepare for the technologies shaping our tomorrow.
by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
Low-Code No-Code Platforms in 2035: My Predictions as a Technology Futurist
Opening Summary
According to Gartner, by 2026, developers outside formal IT departments will account for at least 80% of the user base for low-code development tools, up from 60% in 2021. This statistic alone tells a powerful story about the democratization of technology creation that’s unfolding before our eyes. In my work with Fortune 500 companies and government organizations, I’ve witnessed firsthand how low-code no-code platforms are transforming from niche tools into enterprise-wide strategic assets. We’re moving beyond simple app development into a new era where business users can create sophisticated solutions that previously required specialized technical expertise. The current landscape is already impressive, with platforms enabling everything from workflow automation to complex business process management, but what I see coming in the next decade will fundamentally reshape how organizations approach digital transformation. The revolution isn’t coming—it’s already here, and the organizations that understand where this technology is headed will gain significant competitive advantages.
Main Content: Top Three Business Challenges
Challenge 1: The Governance and Security Dilemma
As low-code no-code platforms proliferate across organizations, one of the most significant challenges I’m observing is the governance and security gap. When business users across departments start creating applications without centralized oversight, organizations face unprecedented security risks and compliance challenges. As noted by Deloitte in their 2023 technology outlook, “The rapid adoption of citizen development creates new attack surfaces that many organizations are unprepared to manage.” In my consulting work, I’ve seen companies struggle with shadow IT created by well-intentioned employees building solutions that handle sensitive data without proper security protocols. The Harvard Business Review recently highlighted how one financial services company discovered over 200 unauthorized applications handling customer data, creating massive compliance issues. This challenge isn’t just about preventing security breaches—it’s about maintaining data integrity, ensuring regulatory compliance, and managing the lifecycle of applications created outside traditional IT governance structures.
Challenge 2: Integration Complexity and Technical Debt
The second major challenge organizations face is the integration nightmare that emerges when dozens or hundreds of low-code no-code applications need to work together with existing enterprise systems. According to McKinsey & Company, organizations using multiple low-code platforms report spending up to 40% of their IT budget on integration and maintenance of these solutions. In my experience working with manufacturing and healthcare organizations, I’ve seen how quickly technical debt accumulates when business units create point solutions that don’t communicate effectively with core systems. The World Economic Forum’s recent report on digital transformation notes that “the proliferation of disconnected digital solutions creates operational silos that can undermine digital transformation efforts.” This isn’t just a technical problem—it’s a strategic one that impacts operational efficiency, data consistency, and long-term digital strategy.
Challenge 3: Skills Gap and Change Management
Perhaps the most underestimated challenge is the human element—the skills gap and change management required to successfully implement low-code no-code strategies at scale. PwC’s 2024 Digital IQ survey reveals that 63% of CEOs cite skills gaps as their biggest barrier to adopting new technologies like low-code platforms. In my keynote presentations and workshops, I consistently hear from leaders who struggle with both the technical upskilling required and the cultural transformation needed to embrace citizen development. Employees who are accustomed to requesting IT solutions now need to become creators, while IT professionals must transition from builders to enablers and coaches. This shift requires significant investment in training, new organizational structures, and fundamentally different ways of working. The challenge extends beyond technical skills to include design thinking, process optimization, and digital literacy at all organizational levels.
Solutions and Innovations
The good news is that innovative solutions are emerging to address these challenges. Leading organizations are implementing what I call “governed democratization” frameworks that balance innovation with control. Companies like Unilever and Siemens have established center-of-excellence models where citizen developers receive training, access to approved platforms, and guidance from IT experts while maintaining governance standards. These programs include automated security scanning, compliance checks, and centralized monitoring of all low-code no-code applications.
AI-Powered Integration Platforms
We’re also seeing the emergence of AI-powered integration platforms that can automatically connect low-code applications with enterprise systems. Tools like MuleSoft Composer and Microsoft Power Platform’s enhanced data integration capabilities are reducing the technical burden of connecting citizen-developed applications with core business systems. In my work with retail organizations, I’ve seen how these integration platforms can cut development time by up to 70% while ensuring data consistency across the organization.
Collaborative Development Environments
Another exciting innovation is the rise of collaborative development environments that bring business users and IT professionals together. Platforms are incorporating features like co-development workspaces, version control for non-technical users, and visual testing tools that make collaboration seamless. Accenture’s research shows that organizations using these collaborative approaches see 45% higher adoption rates and significantly better outcomes from their low-code no-code initiatives.
The Future: Projections and Forecasts
Looking ahead to 2035, the low-code no-code landscape will look fundamentally different. According to IDC forecasts, the worldwide low-code no-code platform market will grow from $13.2 billion in 2021 to $65 billion by 2027, with accelerated growth continuing through 2035. But the real transformation will be in how these platforms evolve beyond their current capabilities.
Natural Language Programming
In my foresight work with organizations, I project that by 2030, natural language programming will become the primary interface for low-code no-code platforms. Instead of dragging and dropping components, users will describe what they want to build in plain language, and AI will generate the application. We’re already seeing early versions of this with platforms like OpenAI’s GPT-based tools, but within five years, this will become mainstream.
Self-Optimizing Applications
What if by 2035, low-code no-code platforms could automatically optimize business processes based on real-time performance data? I believe we’ll see the emergence of self-optimizing applications that continuously improve their own functionality using machine learning. Gartner predicts that by 2028, AI-augmented development will be embedded in 80% of low-code no-code platforms, fundamentally changing how applications are created and maintained.
Market Size Projections
The market size projections are staggering. According to Forrester Research, the total addressable market for low-code no-code platforms could exceed $187 billion by 2030 as these tools expand beyond application development into process automation, data analysis, and even strategic planning. The timeline for this transformation is compressed—what used to take decades in technology adoption will now happen within years due to accelerated digital transformation post-pandemic.
Final Take: 10-Year Outlook
Over the next decade, low-code no-code platforms will evolve from tools to ecosystems, becoming the foundation for organizational digital capability. We’ll see the emergence of industry-specific platforms tailored to healthcare, manufacturing, finance, and other sectors with pre-built components and compliance frameworks. The distinction between professional developers and citizen developers will blur as platforms become more powerful and accessible simultaneously. Organizations that fail to develop comprehensive low-code no-code strategies risk being outpaced by more agile competitors. The opportunity lies in creating cultures of innovation where technology creation is democratized but governed, enabling rapid response to market changes and customer needs while maintaining security and integration standards.
Ian Khan’s Closing
The future belongs to those who can harness the power of technology creation, not just consumption. Low-code no-code platforms represent one of the most significant shifts in how humans interact with technology since the personal computer revolution. We’re moving toward a world where every professional can become a creator, every idea can be rapidly prototyped, and innovation is limited only by imagination, not technical skill.
To dive deeper into the future of Low-Code No-Code Platforms and gain actionable insights for your organization, I invite you to:
- Read my bestselling books on digital transformation and future readiness
- Watch my Amazon Prime series ‘The Futurist’ for cutting-edge insights
- Book me for a keynote presentation, workshop, or strategic leadership intervention to prepare your team for what’s ahead
About Ian Khan
Ian Khan is a globally recognized keynote speaker, bestselling author, and prolific thinker and thought leader on emerging technologies and future readiness. Shortlisted for the prestigious Thinkers50 Future Readiness Award, Ian has advised Fortune 500 companies, government organizations, and global leaders on navigating digital transformation and building future-ready organizations. Through his keynote presentations, bestselling books, and Amazon Prime series “The Futurist,” Ian helps organizations worldwide understand and prepare for the technologies shaping our tomorrow.
by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
Opening: Why Quantum Networking Matters Now
In a world where digital transformation accelerates daily, the race to harness quantum computing has shifted from isolated experiments to interconnected ecosystems. Recently, tech giants IBM and Cisco announced ambitious plans to network quantum computers, signaling a pivotal moment in the evolution of quantum technology. This isn’t just about faster calculations; it’s about building the foundation for a quantum internet that could revolutionize industries from finance to healthcare. As a technology futurist, I see this as a critical step toward future readiness, where businesses must prepare for a paradigm shift in computing power and security. With quantum advancements doubling every few years, according to industry estimates, the time to engage is now—before competitors leap ahead.
Current State: What’s Happening in Quantum Networking
IBM and Cisco are leading the charge in a space once dominated by academic research. IBM’s Quantum Network, which includes over 200 organizations, is expanding to integrate quantum processors via classical networks, while Cisco is leveraging its expertise in networking infrastructure to develop protocols for secure quantum communication. Recent developments, such as the demonstration of quantum key distribution (QKD) over fiber-optic cables, highlight progress toward practical applications. For instance, in 2023, researchers achieved quantum entanglement over distances exceeding 100 kilometers, a milestone that underscores the feasibility of long-range quantum networks. However, the current landscape is fragmented, with players like Google and startups such as Rigetti Computing also exploring similar avenues, but often in silos. This collaboration between IBM and Cisco aims to bridge these gaps, focusing on standardization and scalability.
Key Players and Milestones
Beyond IBM and Cisco, entities like the European Quantum Internet Alliance and China’s Micius satellite project are pushing boundaries. Statistics from the Quantum Economic Development Consortium suggest that global investment in quantum technologies could surpass $30 billion by 2030, with networking being a growing segment. Yet, challenges persist: quantum decoherence, where qubits lose their state, remains a major hurdle, and current networks rely heavily on classical infrastructure for control and error correction.
Analysis: Implications, Challenges, and Opportunities
The move to network quantum computers opens a Pandora’s box of possibilities and pitfalls. On the opportunity side, interconnected quantum systems could enable distributed quantum computing, where multiple quantum processors collaborate to solve complex problems—think simulating molecular interactions for drug discovery or optimizing global supply chains in real-time. This could lead to scientific breakthroughs, such as accelerating climate modeling or developing new materials. In cybersecurity, quantum networks promise unbreakable encryption through QKD, potentially rendering current cryptographic methods obsolete.
However, the challenges are equally daunting. Technically, maintaining quantum coherence over networks requires ultra-low temperatures and noise-free environments, which are costly and complex to scale. Economically, the high initial investment—estimated at millions per node—could widen the digital divide, favoring large corporations over smaller players. Ethically, the power of networked quantum computers raises concerns about data privacy and misuse, such as in surveillance or algorithmic bias. From a business perspective, this shift demands a reevaluation of IT strategies; companies that ignore quantum readiness risk being disrupted by those who embrace it early.
Balancing Innovation and Risk
Opportunities include enhanced AI training through quantum-machine learning hybrids and new revenue streams in quantum-as-a-service models. Challenges involve interoperability issues between different quantum hardware and the need for skilled talent, with a projected shortage of quantum engineers in the coming years. By addressing these, businesses can turn potential threats into competitive advantages.
Ian’s Perspective: Predictions and Unique Insights
As a futurist focused on future readiness, I believe IBM and Cisco’s initiative is more than a technological feat—it’s a strategic move to dominate the next digital frontier. My prediction: within 2-3 years, we’ll see the first commercial quantum networks handling niche tasks, like secure financial transactions or pharmaceutical simulations. However, don’t expect a quantum internet overnight; it will evolve incrementally, much like the early internet. I foresee a hybrid quantum-classical ecosystem emerging, where quantum nodes enhance classical networks rather than replace them. This aligns with broader trends in digital transformation, where convergence—not replacement—drives innovation.
Critically, I urge leaders to look beyond the hype. While quantum networking holds transformative potential, it’s not a silver bullet. Success will depend on collaboration across industries and governments to establish standards, akin to the TCP/IP protocol for the internet. My take: those who invest in quantum literacy and pilot projects today will be best positioned to capitalize on the disruptions ahead. Remember, the goal isn’t to buy quantum computers but to build capabilities that integrate with future networks.
Future Outlook: What’s Next in Quantum Networking
In the next 1-3 years, expect to see pilot quantum networks in sectors like banking and healthcare, focusing on applications such as fraud detection and personalized medicine. Advances in error correction and quantum repeaters will improve reliability, but scalability will remain a challenge. By 5-10 years, I predict the emergence of a rudimentary quantum internet, enabling global quantum communication and distributed computing for grand challenges like climate change. This could lead to a 10x increase in computational efficiency for specific tasks, according to optimistic projections from research institutes.
Long-term, quantum networking might integrate with other exponential technologies, such as AI and IoT, creating smart systems that learn and adapt in real-time. However, this future hinges on overcoming current limitations, including energy consumption and public trust. Businesses should monitor regulatory developments, as governments worldwide are crafting policies to govern quantum technologies.
Takeaways: Actionable Insights for Business Leaders
To navigate this evolving landscape, here are three to five key takeaways:
- Invest in Quantum Literacy: Train teams on quantum basics and potential applications to foster innovation and risk awareness.
- Explore Partnerships: Collaborate with research institutions or tech firms for pilot projects, avoiding large capital outlays initially.
- Assess Cybersecurity Risks: Evaluate how quantum advancements could threaten current encryption and plan upgrades to quantum-resistant protocols.
- Monitor Industry Standards: Stay informed on evolving quantum networking protocols to ensure future compatibility.
- Focus on Use Cases: Identify business problems that quantum networks might solve, such as optimization or simulation, to justify investments.
By acting now, leaders can turn quantum uncertainty into strategic opportunity, ensuring their organizations are future-ready.
Ian Khan is a globally recognized technology futurist, voted Top 25 Futurist and a Thinkers50 Future Readiness Award Finalist. He specializes in AI, digital transformation, and Future Readiness™, helping organizations navigate technological shifts.
For more information on Ian’s specialties, The Future Readiness Score, media work, and bookings please visit www.IanKhan.com
by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
Autonomous Vehicles in 2035: My Predictions as a Technology Futurist
Opening Summary
According to McKinsey & Company, the autonomous vehicle market is projected to generate between $300 billion and $400 billion in revenue by 2035. I’ve been working closely with automotive manufacturers and technology companies, and what I’m seeing today is just the beginning of a transportation revolution that will fundamentally reshape our cities, economies, and daily lives. The current state of autonomous vehicles reminds me of where smartphones were in the early 2000s – we know they’re transformative, but we haven’t yet imagined all the ways they’ll change our world. In my consulting work with Fortune 500 companies, I’ve observed that we’re at a critical inflection point where technological capability is rapidly converging with market readiness. The vehicles being tested today are already demonstrating remarkable capabilities, but the real transformation lies ahead as these technologies mature and scale. What we’re witnessing isn’t just about cars driving themselves – it’s about reimagining mobility, urban design, and human productivity.
Main Content: Top Three Business Challenges
Challenge 1: Regulatory Fragmentation and Safety Standards
The single biggest hurdle I’ve observed in my work with automotive leaders is the patchwork of regulations across different jurisdictions. As noted by the World Economic Forum, the lack of unified global standards creates significant barriers to scaling autonomous vehicle technologies. I’ve consulted with companies that have had to develop different versions of their autonomous systems for different states and countries, dramatically increasing costs and complexity. The safety certification process alone can take years, and what passes in one region might be rejected in another. This regulatory fragmentation isn’t just slowing adoption – it’s creating massive inefficiencies that could delay the benefits of autonomous transportation by years. The recent Deloitte analysis on autonomous vehicle regulation highlights how this challenge could cost the industry billions in delayed revenue and redundant development costs.
Challenge 2: Public Trust and Behavioral Adaptation
Harvard Business Review recently published research showing that public trust remains the most significant barrier to widespread autonomous vehicle adoption. In my keynote presentations and workshops, I consistently encounter skepticism about handing control over to machines. This isn’t just about technology – it’s about human psychology and cultural adaptation. I’ve worked with organizations that have developed technically flawless autonomous systems, only to struggle with consumer acceptance. The transition from human-driven to autonomous vehicles represents one of the most significant behavioral shifts in modern history. As PwC’s mobility research indicates, building trust requires not just demonstrating safety, but also addressing complex ethical questions about decision-making in unavoidable accident scenarios. This challenge goes beyond marketing – it requires fundamental changes in how we think about transportation safety and responsibility.
Challenge 3: Infrastructure Integration and Urban Planning
The third major challenge I’ve identified through my consulting work is the massive infrastructure gap. Current cities were designed for human-driven vehicles, and retrofitting them for autonomous transportation requires enormous investment. According to Accenture’s smart cities research, most urban centers are decades away from having the digital and physical infrastructure needed to support large-scale autonomous vehicle deployment. I’ve advised city planners who recognize the potential benefits – reduced traffic, lower emissions, more efficient land use – but struggle with the practical realities of implementation. The transition period, where autonomous and human-driven vehicles share the same roads, creates particularly complex challenges. Gartner’s analysis of smart infrastructure highlights how this mixed environment could actually decrease efficiency and safety during the transition years unless carefully managed.
Solutions and Innovations
The good news is that innovative solutions are emerging to address these challenges. In my work with leading technology companies, I’m seeing several promising approaches gaining traction.
Blockchain-Based Verification Systems
First, blockchain-based verification systems are being deployed to create transparent, auditable safety records that build public trust. Companies like Mobileye are implementing systems that record every decision an autonomous vehicle makes, creating verifiable safety histories that regulators and consumers can trust.
Simulation-Based Testing Environments
Second, I’m observing the rise of simulation-based testing environments that allow manufacturers to validate their systems across millions of virtual miles and scenarios. Companies like NVIDIA are developing digital twin technology that enables comprehensive testing without physical risks. This approach not only accelerates development but also provides concrete data to address regulatory concerns.
Vehicle-to-Everything (V2X) Communication
Third, vehicle-to-everything (V2X) communication technology is emerging as a critical solution for the infrastructure challenge. As I’ve seen in my consulting with smart city projects, V2X enables autonomous vehicles to communicate with each other and with infrastructure elements like traffic signals and road sensors. This creates a coordinated system that can dramatically improve safety and efficiency during the transition period.
Modular and Scalable Autonomy Systems
Fourth, modular and scalable autonomy systems are allowing for gradual implementation. Rather than requiring fully autonomous capabilities from day one, companies are developing systems that can operate at different levels of autonomy depending on conditions and regulations. This phased approach, which I’ve helped several organizations implement, reduces risk and allows for incremental learning and improvement.
The Future: Projections and Forecasts
Looking ahead, the data paints a compelling picture of transformation. According to IDC’s latest projections, we’ll see autonomous vehicles account for over 15% of new vehicle sales by 2030, growing to nearly 40% by 2035. The financial implications are staggering – Boston Consulting Group estimates that the autonomous vehicle ecosystem could capture $60-80 billion in revenue by 2030, with the majority coming from mobility-as-a-service models rather than vehicle sales.
In my foresight exercises with corporate leaders, I often explore “what if” scenarios that reveal unexpected opportunities. What if autonomous vehicles reduce urban parking needs by 90%, freeing up valuable real estate for parks and housing? What if commute times become productive work hours, effectively adding billions of hours to the global economy? These aren’t just theoretical questions – they’re strategic considerations that forward-thinking organizations are already addressing.
The technological breakthroughs I anticipate over the next decade will fundamentally change the autonomous vehicle landscape. Quantum computing will enable real-time optimization of entire transportation networks, while advanced AI will create vehicles that can handle increasingly complex environments. By 2030, I predict we’ll see the first cities designed specifically for autonomous vehicles, with integrated systems that optimize traffic flow, energy use, and public space.
Market size predictions from McKinsey suggest the passenger autonomous vehicle market alone could reach $1.5 trillion by 2040, with commercial and logistics applications adding another $700 billion. The transformation timeline shows rapid acceleration beginning around 2027, as regulatory frameworks mature and public acceptance grows.
Final Take: 10-Year Outlook
Over the next decade, autonomous vehicles will transition from experimental technology to mainstream transportation. We’ll see the rise of integrated mobility ecosystems where vehicles, infrastructure, and users communicate seamlessly. The distinction between public and private transportation will blur as autonomous mobility services become ubiquitous in urban areas. The most significant transformation will be economic – as transportation becomes more efficient and predictable, supply chains will reorganize, urban land use will transform, and how we think about “commuting” will fundamentally change. The organizations that thrive will be those that anticipate these shifts and build flexibility into their business models.
Ian Khan’s Closing
The future of autonomous vehicles isn’t just about technology – it’s about reimagining human potential. As I often say in my keynotes, “The greatest journeys ahead aren’t measured in miles, but in the new possibilities we create when we free human attention from the steering wheel.” The autonomous revolution represents one of the most significant opportunities of our generation to redesign how we live, work, and connect.
To dive deeper into the future of autonomous vehicles and gain actionable insights for your organization, I invite you to:
- Read my bestselling books on digital transformation and future readiness
- Watch my Amazon Prime series ‘The Futurist’ for cutting-edge insights
- Book me for a keynote presentation, workshop, or strategic leadership intervention to prepare your team for what’s ahead
About Ian Khan
Ian Khan is a globally recognized keynote speaker, bestselling author, and prolific thinker and thought leader on emerging technologies and future readiness. Shortlisted for the prestigious Thinkers50 Future Readiness Award, Ian has advised Fortune 500 companies, government organizations, and global leaders on navigating digital transformation and building future-ready organizations. Through his keynote presentations, bestselling books, and Amazon Prime series “The Futurist,” Ian helps organizations worldwide understand and prepare for the technologies shaping our tomorrow.
by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
The 3D Printing & Additive Manufacturing Revolution: What Business Leaders Need to Know Now
Opening Summary
According to a comprehensive report by McKinsey & Company, the additive manufacturing market is projected to reach $100 billion by 2030, growing at an astonishing compound annual growth rate of over 20%. I’ve watched this industry evolve from producing simple prototypes to manufacturing mission-critical components for aerospace, medical devices, and automotive sectors. In my consulting work with Fortune 500 manufacturers, I’ve witnessed firsthand how 3D printing is transforming supply chains, product development cycles, and even business models. What began as rapid prototyping technology has matured into a full-scale manufacturing revolution that’s reshaping global production. The current state represents a tipping point where organizations that embraced additive manufacturing early are now seeing significant competitive advantages, while those who hesitated are scrambling to catch up. The transformation ahead will be even more dramatic than what we’ve seen so far, and business leaders who understand this trajectory will position their organizations for unprecedented success.
Main Content: Top Three Business Challenges
Challenge 1: The Talent and Skills Gap
The single biggest challenge I consistently encounter in my work with manufacturing leaders is the severe shortage of professionals who understand both the technical aspects of additive manufacturing and its strategic business applications. As noted by Deloitte in their 2023 manufacturing outlook, nearly 70% of manufacturers report moderate to severe talent shortages that affect their ability to implement advanced technologies like 3D printing. This isn’t just about finding engineers who can operate 3D printers—it’s about developing talent that understands material science, digital design, supply chain integration, and business strategy simultaneously. I recently consulted with a major aerospace company that had invested $15 million in state-of-the-art additive manufacturing equipment, only to discover they lacked the internal expertise to maximize its potential. The gap between technology acquisition and talent development creates significant operational bottlenecks and delays return on investment, often by years rather than months.
Challenge 2: Integration with Traditional Manufacturing Systems
Harvard Business Review recently highlighted that most organizations struggle with integrating additive manufacturing into their existing production ecosystems. The challenge isn’t just technical—it’s cultural and procedural. Traditional manufacturing operates on economies of scale, while additive manufacturing thrives on customization and complexity. I’ve seen numerous companies treat 3D printing as a separate silo rather than integrating it into their core manufacturing strategy. According to PwC’s manufacturing research, organizations that successfully integrate additive manufacturing achieve 30-50% faster time-to-market and significant cost reductions in prototyping and tooling. However, the path to integration requires rethinking everything from quality control standards to supply chain logistics. The companies that succeed are those that view additive manufacturing not as a replacement for traditional methods, but as a complementary technology that enhances their overall manufacturing capabilities.
Challenge 3: Quality Control and Standardization
The World Economic Forum’s Advanced Manufacturing Initiative has repeatedly emphasized that inconsistent quality and lack of standardization remain significant barriers to widespread additive manufacturing adoption. Unlike traditional manufacturing where processes have been refined over decades, additive manufacturing quality can vary dramatically between machines, materials, and even environmental conditions. In my consulting practice, I’ve worked with medical device manufacturers who face rigorous regulatory requirements that demand consistent, reproducible quality across every single part. As Accenture notes in their industrial technology outlook, the absence of universally accepted standards for additive manufacturing creates uncertainty in highly regulated industries like aerospace, healthcare, and automotive. This challenge extends beyond technical specifications to include certification processes, material traceability, and post-processing requirements that many organizations underestimate when adopting the technology.
Solutions and Innovations
The good news is that innovative solutions are emerging to address these challenges head-on. Leading organizations are implementing comprehensive training programs that combine technical skills with strategic thinking. Companies like Siemens and GE Additive have developed extensive certification programs that are helping to professionalize the industry and create clearer career pathways. I’ve advised several organizations on creating internal “additive manufacturing centers of excellence” that serve as hubs for knowledge sharing and skill development.
Digital Twin Technology
Digital twin technology represents another breakthrough solution that’s transforming how companies integrate additive manufacturing. By creating virtual replicas of their manufacturing processes, organizations can simulate, test, and optimize their additive manufacturing workflows before physical implementation. According to Gartner, organizations that implement digital twins see a 30% improvement in cycle times for critical processes. I’ve witnessed automotive manufacturers use digital twins to seamlessly integrate 3D printed components into their assembly lines, dramatically reducing integration challenges.
AI-Powered Quality Control
Artificial intelligence and machine learning are revolutionizing quality control in additive manufacturing. Companies like Markforged are implementing AI-powered systems that monitor the printing process in real-time, detecting anomalies and automatically adjusting parameters to ensure consistent quality. These systems are creating the foundation for the standardization that the industry desperately needs. In my work with manufacturing leaders, I’ve seen how these AI systems not only improve quality but also build the data foundation required for regulatory compliance and certification.
The Future: Projections and Forecasts
Looking ahead, the next decade will witness transformations that will make today’s additive manufacturing landscape seem primitive by comparison. IDC forecasts that by 2030, over 40% of manufacturing organizations will use 3D printing for mass customization of end-use products, up from less than 10% today. The financial implications are staggering—Morgan Stanley Research estimates that additive manufacturing could capture $240 billion to $500 billion of the total manufacturing market by 2040.
My foresight exercises with global manufacturing leaders reveal several breakthrough scenarios. What if we reach the point where 3D printers can print entire functional electronic devices in a single process? What if distributed manufacturing networks enable products to be printed locally anywhere in the world, fundamentally disrupting global supply chains? These aren’t science fiction scenarios—they’re technological inevitabilities that forward-thinking organizations are already preparing for.
Industry Transformation Timeline
The industry transformation timeline shows accelerating adoption across sectors. Between 2025-2028, I predict we’ll see widespread adoption of multi-material printing capabilities that enable complex, functional parts in single print jobs. From 2028-2032, the integration of quantum computing with additive manufacturing design processes will enable optimization of structures at a molecular level, creating materials and products with properties we can’t currently imagine. The market size predictions from leading analysts consistently point toward exponential growth, with Grand View Research projecting the global 3D printing market to reach $76.16 billion by 2030, driven by healthcare, aerospace, and automotive applications.
Final Take: 10-Year Outlook
The 3D printing and additive manufacturing industry is headed toward complete integration into mainstream manufacturing. Within ten years, I believe the distinction between “traditional” and “additive” manufacturing will largely disappear as hybrid approaches become standard. The opportunities for customization, supply chain resilience, and sustainability will drive adoption across virtually every manufacturing sector. However, significant risks remain for organizations that fail to adapt—particularly around talent development, intellectual property protection, and managing the transition from physical inventory to digital inventory. The companies that thrive will be those that view additive manufacturing not as a technology to implement, but as a fundamental capability to master.
Ian Khan’s Closing
The future of manufacturing isn’t just about making things—it’s about reimagining what’s possible. As I often tell the leaders I work with, “The most successful organizations won’t just adopt new technologies; they’ll reinvent their entire value creation process around them.” 3D printing and additive manufacturing represent one of the most powerful tools for that reinvention, enabling unprecedented levels of customization, efficiency, and innovation.
To dive deeper into the future of 3D Printing & Additive Manufacturing and gain actionable insights for your organization, I invite you to:
- Read my bestselling books on digital transformation and future readiness
- Watch my Amazon Prime series ‘The Futurist’ for cutting-edge insights
- Book me for a keynote presentation, workshop, or strategic leadership intervention to prepare your team for what’s ahead
About Ian Khan
Ian Khan is a globally recognized keynote speaker, bestselling author, and prolific thinker and thought leader on emerging technologies and future readiness. Shortlisted for the prestigious Thinkers50 Future Readiness Award, Ian has advised Fortune 500 companies, government organizations, and global leaders on navigating digital transformation and building future-ready organizations. Through his keynote presentations, bestselling books, and Amazon Prime series “The Futurist,” Ian helps organizations worldwide understand and prepare for the technologies shaping our tomorrow.
