by Ian Khan | Nov 22, 2025 | Blog, Ian Khan Blog, Technology Blog
Quantum Computing in 2035: My Predictions as a Technology Futurist
Opening Summary
According to McKinsey & Company, the quantum computing market is projected to reach $106 billion by 2040, with early commercial applications emerging as soon as 2025. I’ve been tracking this exponential growth curve in my work with global technology leaders, and what I’m seeing today is nothing short of revolutionary. We’re witnessing the transition from theoretical physics to practical business applications, with organizations like JPMorgan Chase and Volkswagen already running quantum computing experiments for portfolio optimization and battery development. The current state reminds me of where artificial intelligence was a decade ago – full of promise but requiring significant strategic foresight to navigate effectively. In my consulting with Fortune 500 companies, I’m observing a critical inflection point where quantum computing is moving from research labs to boardroom discussions, and the organizations that understand this transformation today will dominate their industries tomorrow.
Main Content: Top Three Business Challenges
Challenge 1: The Quantum Talent Gap and Skills Shortage
The most immediate barrier I’m seeing across industries is the severe shortage of quantum-ready talent. As noted by Deloitte’s 2024 Quantum Computing Outlook, over 75% of organizations report difficulty finding professionals with quantum computing expertise. This isn’t just about hiring physicists – it’s about developing leaders who can translate quantum capabilities into business value. In my strategic workshops with financial institutions, I’ve seen brilliant quantitative analysts struggle to conceptualize how quantum algorithms could transform risk modeling. The Harvard Business Review recently highlighted that quantum literacy must become a C-suite priority, yet most executive teams lack even basic understanding of quantum principles. This creates a dangerous knowledge gap where strategic decisions about quantum investments are being made without proper technical grounding.
Challenge 2: Integration Complexity with Existing Technology Stacks
Quantum computers won’t replace classical systems – they’ll augment them, creating unprecedented integration challenges. Gartner predicts that through 2028, 80% of quantum computing initiatives will fail to deliver business value due to integration complexities. I’ve consulted with manufacturing companies attempting to integrate quantum optimization with their existing supply chain management systems, and the technical debt is staggering. As World Economic Forum’s Quantum Computing Governance report notes, hybrid quantum-classical architectures require complete rethinking of data pipelines and computational workflows. The reality I’m observing is that most organizations’ IT infrastructures were never designed to accommodate quantum processing units, creating implementation timelines that stretch years beyond initial projections.
Challenge 3: Security Implications and Cryptographic Vulnerabilities
Perhaps the most urgent challenge is the looming threat to current encryption standards. The National Institute of Standards and Technology warns that quantum computers will eventually break widely used RSA encryption, potentially exposing sensitive data across industries. In my cybersecurity briefings with government agencies, I’m seeing growing concern about “harvest now, decrypt later” attacks where adversaries are already collecting encrypted data to decrypt once quantum computers become powerful enough. Accenture’s quantum security practice estimates that organizations have 5-7 years to transition to quantum-resistant cryptography before facing significant risks. The business impact extends beyond IT departments to affect every aspect of digital trust and data protection.
Solutions and Innovations
The good news is that innovative solutions are emerging faster than most organizations realize.
Quantum Development Platforms
IBM’s quantum development roadmap has accelerated practical applications through their Qiskit platform, which I’ve seen companies use to prototype quantum algorithms without massive infrastructure investments. In the pharmaceutical industry, companies like Roche are partnering with quantum startups to simulate molecular interactions for drug discovery, achieving results that would take classical computers years to compute.
Hybrid Quantum-Classical Approaches
Hybrid quantum-classical approaches are proving particularly effective. I recently worked with a logistics company implementing D-Wave’s quantum annealing solutions alongside their existing optimization software, resulting in 30% faster route planning. Microsoft’s Azure Quantum platform is making quantum computing accessible through cloud services, dramatically lowering the barrier to entry for mid-sized enterprises.
Talent Development Initiatives
For the talent gap, organizations like BMW Group have created quantum-focused innovation labs that partner with universities to develop next-generation talent. Quantum computing education platforms from companies like QC Ware are helping upskill existing IT teams, while consultancies like EY are developing quantum business strategy frameworks that help leaders make informed investment decisions.
The Future: Projections and Forecasts
Based on my analysis of current trajectories and discussions with quantum hardware manufacturers, I project that we’ll see quantum advantage – where quantum computers outperform classical systems on practical problems – in specific industries by 2027-2029. Boston Consulting Group estimates that quantum computing could create $850 billion in annual value by 2040, with early movers capturing disproportionate benefits.
Transformation Timeline
Here’s my timeline for quantum transformation:
- 2025-2030: Quantum computing primarily used for optimization problems in finance and logistics, with pharmaceutical companies achieving breakthroughs in molecular simulation
- 2030-2035: Quantum machine learning will transform AI capabilities, and we’ll see the first quantum internet prototypes enabling secure quantum communication networks
Investment Growth
IDC forecasts that quantum computing investments will grow at a compound annual growth rate of 51% through 2027, reaching $8.6 billion in global spending. However, the real transformation will come from quantum-inspired algorithms that can run on classical computers today while preparing organizations for full quantum implementation tomorrow.
Industry Scenarios
In my foresight exercises with technology leaders, we’ve explored scenarios where quantum computing:
- Reduces drug discovery timelines from 10 years to 18 months
- Optimizes global supply chains to eliminate 25% of waste
- Solves climate modeling problems that are currently computationally infeasible
Final Take: 10-Year Outlook
By 2035, quantum computing will be as fundamental to business operations as cloud computing is today. Organizations that haven’t developed quantum capabilities will struggle to compete, while those that embraced quantum early will dominate their markets. The transformation will be most profound in industries dealing with complex systems: finance will see real-time risk analysis across global markets, materials science will develop revolutionary new compounds, and artificial intelligence will achieve capabilities we can barely imagine today. The risk isn’t adopting quantum computing too early – it’s waiting too long and facing insurmountable competitive disadvantages.
Ian Khan’s Closing
The quantum future isn’t coming – it’s already here, waiting for visionary leaders to seize its potential. As I often tell executive teams: “The greatest risk in times of transformation is not taking one.” Quantum computing represents the next frontier of human ingenuity, and the organizations that learn to harness its power today will write the rules of tomorrow’s economy.
To dive deeper into the future of Quantum Computing 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 Digital Marketing & SEO Revolution: What Business Leaders Need to Know Now
Opening Summary
According to Gartner’s latest research, over 80% of marketing leaders now report that their organizations are undergoing significant digital marketing transformation, yet only 23% feel adequately prepared for the changes ahead. I’ve witnessed this gap firsthand in my consulting work with Fortune 500 companies and global enterprises. The digital marketing and SEO landscape is experiencing its most profound transformation since the advent of social media, driven by artificial intelligence, changing consumer behaviors, and evolving search algorithms. What we’re seeing isn’t just incremental change—it’s a complete paradigm shift that requires organizations to rethink their entire approach to customer engagement and visibility. In my work with organizations across industries, I’ve observed that the companies succeeding aren’t just adapting to these changes; they’re fundamentally reinventing their marketing DNA to stay ahead of the curve.
Main Content: Top Three Business Challenges
Challenge 1: The AI Content Saturation Crisis
We’re facing an unprecedented content saturation problem that’s fundamentally changing how SEO works. As noted by Harvard Business Review, the volume of digital content has increased by over 400% in the past three years alone, with AI-generated content accounting for a significant portion of this growth. I’ve consulted with organizations where their carefully crafted content is now competing against thousands of AI-generated articles on the same topics. The challenge isn’t just creating content anymore—it’s creating content that stands out in an ocean of algorithmically generated material. According to Deloitte’s digital marketing survey, 67% of marketing executives report that their content ROI has decreased significantly due to this saturation. The traditional approach of “content is king” is being replaced by “context is emperor,” requiring marketers to develop deeper, more personalized, and more valuable content experiences.
Challenge 2: The Fragmentation of Search Ecosystems
The way people search for information is fundamentally changing, and this represents one of the most significant challenges I’m seeing in my consulting practice. As McKinsey & Company reports, nearly 40% of younger consumers now begin their product searches on social platforms like TikTok and Instagram rather than traditional search engines. Voice search, visual search, and AI-powered assistants are creating a fragmented search landscape where traditional SEO strategies are becoming less effective. I recently worked with a retail organization that discovered 60% of their target audience now uses multiple search platforms throughout their customer journey. This fragmentation requires marketers to develop omnichannel SEO strategies that work across traditional search engines, social platforms, voice assistants, and emerging AI search interfaces.
Challenge 3: The Privacy-First Data Paradigm
The shift toward privacy-first marketing is creating what I call the “data desert”—a landscape where traditional targeting and personalization strategies are becoming increasingly difficult. According to PwC’s Consumer Intelligence Series, 85% of consumers are more likely to stick with brands that offer strong data protection controls. With the phasing out of third-party cookies and increasing privacy regulations globally, marketers are losing access to the detailed behavioral data that powered their strategies for decades. In my work with financial services organizations, I’ve seen how this shift is forcing a complete rethinking of customer data strategies. The World Economic Forum notes that organizations that fail to adapt to this privacy-first reality risk losing both customer trust and competitive advantage.
Solutions and Innovations
The organizations I work with that are successfully navigating these challenges are implementing several key innovations.
AI-Powered Personalization at Scale
First, they’re embracing AI-powered personalization at scale. Rather than fighting AI content saturation, they’re using advanced AI tools to create hyper-personalized experiences that generic content can’t match. I’ve seen companies achieve 300% increases in engagement by implementing dynamic content personalization engines.
Search Ecosystem Strategies
Second, forward-thinking organizations are developing what I call “search ecosystem strategies.” They’re optimizing not just for Google, but for TikTok search, Amazon search, voice assistants, and even emerging platforms like ChatGPT. As Accenture’s technology vision report highlights, companies that master cross-platform search visibility are seeing 45% higher conversion rates than those focused solely on traditional SEO.
Privacy-Enhancing Technologies (PETs)
Third, privacy-enhancing technologies (PETs) are becoming essential. Organizations are implementing first-party data strategies, zero-party data collection, and advanced analytics that work within privacy constraints. The most successful companies I’ve advised are using these technologies to build deeper customer relationships based on transparency and value exchange rather than data extraction.
Predictive Analytics and Machine Learning
Finally, I’m seeing leading organizations invest in predictive analytics and machine learning to anticipate customer needs rather than just react to them. This proactive approach to marketing is creating significant competitive advantages in an increasingly crowded digital landscape.
The Future: Projections and Forecasts
Looking ahead, the transformations we’re seeing today are just the beginning. According to IDC’s FutureScape report, global spending on AI-powered marketing technologies will reach $110 billion by 2027, representing a compound annual growth rate of 22%. I predict that within five years, we’ll see AI not just assisting marketers but autonomously managing entire marketing campaigns with human oversight.
Intent-Based Optimization (2028)
My foresight exercises with corporate leadership teams suggest several key developments. By 2028, I expect that traditional keyword-based SEO will be largely replaced by intent-based optimization, where AI systems understand and respond to complex user needs across multiple platforms simultaneously.
Conversational AI and Voice Interfaces (2030)
Gartner projects that by 2030, conversational AI and voice interfaces will handle over 50% of all search queries, fundamentally changing how brands achieve visibility.
Market Growth Projections
The market size for digital marketing and SEO services is expected to grow from $460 billion in 2024 to over $780 billion by 2030, according to Market Research Future. However, this growth will be unevenly distributed—organizations that embrace the AI-first, privacy-centric, multi-platform future will capture disproportionate value, while those clinging to traditional approaches will struggle to maintain relevance.
Final Take: 10-Year Outlook
Over the next decade, digital marketing and SEO will evolve from technical disciplines to strategic business functions centered around AI-driven customer experience optimization. The distinction between marketing channels will blur as AI systems orchestrate seamless customer journeys across platforms. Organizations that succeed will be those that view marketing not as a cost center but as a strategic driver of customer value and business growth. The risks are significant—companies that fail to adapt to the AI-powered, privacy-first future risk becoming irrelevant. However, the opportunities are even greater for those willing to embrace innovation and build marketing organizations designed for the future rather than the past.
Ian Khan’s Closing
The future of digital marketing and SEO isn’t something that happens to us—it’s something we create through our choices, innovations, and willingness to embrace change. As I often tell the leaders I work with, “The most successful organizations of tomorrow are those building their marketing future today, not waiting for it to arrive.”
To dive deeper into the future of Digital Marketing & SEO 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 the Electric Vehicle Boom Matters Now
The electric vehicle (EV) market is no longer a niche segment; it’s a global phenomenon reshaping transportation, energy, and consumer behavior. With global EV sales surpassing 10 million units in 2022 and projected to grow exponentially, this shift is accelerating due to climate imperatives, technological advancements, and changing consumer preferences. As a technology futurist, I see this as a pivotal moment where digital transformation meets everyday life, influencing everything from how we power our homes to urban planning. The urgency stems from rising fuel costs, regulatory pushes like the EU’s 2035 combustion engine ban, and a generational tilt toward sustainability. For business leaders, ignoring this trend isn’t just risky—it’s a missed opportunity to align with future-ready strategies.
Current State: What’s Happening in the EV Space
The EV market is experiencing rapid growth, driven by key players and consumer adoption patterns. In 2023, EVs accounted for over 14% of global car sales, up from just 4% in 2020, according to the International Energy Agency. Companies like Tesla, BYD, and traditional automakers such as Ford and Volkswagen are investing billions in electrification. For instance, Ford plans to spend $50 billion on EVs through 2026, while Tesla’s Gigafactories are scaling production to meet demand. On the consumer side, adoption is fueled by factors like lower operating costs—EVs can be up to 60% cheaper to maintain than internal combustion engine vehicles—and expanding charging infrastructure, with over 2.7 million public chargers installed worldwide. However, challenges persist, including supply chain bottlenecks for batteries and semiconductor shortages, which have caused delays and price fluctuations.
Key Trends Shaping Adoption
Consumer responses are evolving, with trends like subscription models (e.g., Volvo’s Care by Volvo) and battery-as-a-service offerings gaining traction. Urban areas are seeing higher adoption rates due to better charging access and incentives, while rural regions lag. Government policies, such as tax credits in the U.S. and subsidies in China, are accelerating uptake, but geopolitical tensions over raw materials like lithium and cobalt highlight vulnerabilities. Recent developments include the rise of electric SUVs and trucks, like the Ford F-150 Lightning, which appeal to broader demographics, and advancements in fast-charging technology that reduce charging times to under 30 minutes.
Analysis: Implications, Challenges, and Opportunities
The growth of the EV market has profound implications across sectors. From an environmental perspective, EVs reduce carbon emissions, but their lifecycle impact depends on electricity sources—if powered by renewables, the benefits multiply. Economically, this shift disrupts oil industries while creating jobs in manufacturing and tech. Challenges include infrastructure gaps; for example, in the U.S., the ratio of EVs to public chargers is about 20:1, leading to “range anxiety” for consumers. Battery disposal and recycling pose environmental concerns, with only about 5% of lithium-ion batteries recycled globally. Opportunities abound, such as vehicle-to-grid technology, where EVs can store and supply energy back to the grid, enhancing resilience. For businesses, this opens avenues in energy management, software development, and new mobility services like EV fleets for ride-sharing.
Connecting to Digital Transformation
EVs are not just cars; they’re data hubs on wheels. With integrated IoT sensors and AI, they generate vast amounts of data on driving patterns, battery health, and user preferences. This ties into broader digital trends, enabling predictive maintenance, personalized insurance, and smart city integrations. Companies that leverage this data can offer enhanced customer experiences, but they must navigate privacy and cybersecurity risks. The shift also accelerates autonomous driving, as EVs often serve as platforms for self-driving tech, pushing industries toward a connected, automated future.
Ian’s Perspective: Unique Takes and Predictions
As a futurist focused on Future Readiness™, I believe the EV market’s growth is a bellwether for broader societal shifts. My perspective is that we’re moving from ownership to access models, where consumers prioritize experiences over assets. Predictions include: By 2025, EVs will comprise 20% of global sales, driven by affordability as battery costs drop below $100/kWh. I foresee a “EV-as-a-service” boom, where companies bundle charging, insurance, and software updates into subscriptions. However, a critical challenge will be equity—without inclusive policies, EV adoption could widen socioeconomic gaps. I also predict that by 2030, solid-state batteries will dominate, offering longer ranges and faster charging, but this depends on R&D investments. Ultimately, the winners will be those who integrate EVs into holistic ecosystems, not just sell vehicles.
Future Outlook: What’s Next in 1-3 Years and 5-10 Years
In the near term (1-3 years), expect market consolidation as smaller players struggle with scale, while giants like Tesla and Chinese firms expand globally. Charging infrastructure will improve, with wireless and ultra-fast options becoming common. Consumer adoption will spike in regions with strong incentives, but supply chain issues may cause volatility. In 5-10 years, EVs will likely be the norm in many markets, with autonomous EVs entering mainstream use. Battery technology will evolve to support 500-mile ranges, and recycling rates could exceed 50% due to regulatory pressures. The energy grid will transform, with EVs acting as decentralized storage units. For consumers, this means seamless, integrated mobility, but it requires businesses to adapt or risk obsolescence.
Takeaways: Actionable Insights for Business Leaders
- Invest in EV-adjacent innovations: Focus on charging solutions, battery tech, or software to tap into growing demand without direct competition.
- Embrace data-driven strategies: Use EV-generated data for customer insights and operational efficiency, but prioritize cybersecurity.
- Plan for infrastructure integration: Collaborate with energy providers and governments to support EV ecosystems, enhancing corporate sustainability goals.
- Adapt to consumer shifts: Develop flexible models like subscriptions to cater to changing preferences toward access over ownership.
- Monitor regulatory landscapes: Stay ahead of policies on emissions and recycling to mitigate risks and seize incentives.
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
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 happening right now. 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 at a pivotal moment where business users, not just professional developers, are building sophisticated applications that drive real business value. The current landscape is characterized by rapid adoption, but we’re just scratching the surface of what’s possible. As organizations grapple with digital transformation and talent shortages, these platforms are becoming essential for maintaining competitive advantage. What we’re seeing today is merely the prelude to a much larger transformation that will fundamentally reshape how organizations build, deploy, and scale technology solutions over the next decade.
Main Content: Top Three Business Challenges
Challenge 1: The Governance and Security Dilemma
The rapid proliferation of low-code no-code platforms creates significant governance challenges that many organizations are struggling to manage. As Deloitte research highlights, “Shadow IT created through citizen development can lead to security vulnerabilities, compliance issues, and integration nightmares if not properly governed.” I’ve consulted with financial institutions where business units created hundreds of applications without IT oversight, leading to data security risks and regulatory compliance concerns. The challenge isn’t just about preventing bad things from happening—it’s about enabling innovation while maintaining control. Harvard Business Review notes that organizations without clear governance frameworks for citizen development experience 40% higher security incidents related to unauthorized applications. The impact extends beyond security to include data quality, application lifecycle management, and technical debt accumulation that can haunt organizations for years.
Challenge 2: Integration Complexity and Technical Debt
Many organizations are discovering that their low-code no-code solutions create integration nightmares and unexpected technical debt. As McKinsey & Company reports, “While low-code platforms promise rapid development, organizations often underestimate the long-term costs of maintaining and integrating these solutions with existing enterprise systems.” In my consulting practice, I’ve seen companies where departments built dozens of useful applications that couldn’t communicate with each other or with core business systems. This creates data silos and operational inefficiencies that undermine the very benefits these platforms promise. According to Accenture research, organizations using multiple low-code platforms without a strategic integration framework spend up to 35% more on integration and maintenance than initially projected. The technical debt accumulates silently until it becomes a significant drag on innovation and agility.
Challenge 3: Skills Gap and Change Management
The promise of “anyone can build” often overlooks the reality that effective application development requires critical thinking, process understanding, and digital literacy skills that many business users lack. World Economic Forum research indicates that “while technology platforms are becoming more accessible, the skills gap in digital literacy and computational thinking remains a significant barrier to effective citizen development.” I’ve worked with manufacturing companies where frontline workers struggled to translate their domain expertise into effective applications because they lacked the fundamental digital skills. The challenge extends beyond technical skills to include change management—helping organizations adapt to new ways of working where business users take ownership of technology solutions. PwC’s digital transformation studies show that organizations that underestimate the change management aspect of citizen development initiatives experience 50% lower adoption rates and ROI.
Solutions and Innovations
Leading organizations are addressing these challenges through innovative approaches and emerging technologies.
AI-Powered Governance Platforms
First, I’m seeing sophisticated governance platforms that provide guardrails for citizen development while enabling innovation. Companies like Unqork and OutSystems are implementing AI-powered governance tools that automatically scan for security vulnerabilities, compliance issues, and integration patterns. These solutions create what I call “innovation guardrails”—they prevent catastrophic failures while enabling rapid development.
Integration Platforms as a Service (iPaaS)
Second, integration platforms as a service (iPaaS) specifically designed for low-code no-code environments are becoming essential. As noted in recent IDC research, “Organizations implementing strategic iPaaS solutions with their low-code platforms reduce integration costs by up to 60% while improving data consistency across applications.” I’ve advised healthcare organizations that used MuleSoft and similar platforms to create seamless integration layers between citizen-developed applications and enterprise systems.
AI-Powered Co-Development Tools
Third, we’re seeing the emergence of AI-powered co-development tools that help business users build better applications. These tools provide real-time suggestions, identify potential issues before deployment, and even generate portions of applications based on natural language descriptions. In my work with retail organizations, I’ve seen how these AI assistants dramatically reduce the skills gap while improving application quality.
Citizen Developer Centers of Excellence
Fourth, leading organizations are creating citizen developer centers of excellence that provide training, best practices, and community support. These centers combine change management with skill development, creating sustainable citizen development programs rather than one-off initiatives.
The Future: Projections and Forecasts
Looking ahead to 2035, the low-code no-code platform landscape will transform dramatically. According to MarketsandMarkets research, the global low-code development platform market size is expected to grow from $13.2 billion in 2021 to $45.5 billion by 2025, and I project it will exceed $150 billion by 2030. But the real transformation will be in how these platforms evolve.
Natural Language Processing Breakthrough (2028)
In my foresight exercises with global technology leaders, we’ve identified several key breakthroughs. By 2028, I predict that natural language processing will advance to the point where business users can describe complex applications in plain English and have AI generate fully functional solutions.
Context-Aware Development Platforms (2030)
By 2030, we’ll see the emergence of “context-aware” development platforms that understand business processes and automatically suggest optimizations and improvements.
Self-Evolving Platforms (2032)
What if by 2032, low-code platforms could self-evolve based on usage patterns and business outcomes? This isn’t science fiction—we’re already seeing early signs of self-optimizing applications in advanced AI research.
Market Penetration Timeline
The industry transformation timeline suggests that between 2026 and 2030, low-code no-code platforms will become the default method for application development in most organizations, with traditional coding reserved for highly specialized scenarios. Gartner forecasts that by 2027, over 70% of new applications will use low-code or no-code technologies, up from less than 25% in 2020. But I believe this underestimates the pace of change—in my projections, we’ll reach 85% penetration by 2028, driven by AI advancements and increasing digital literacy.
Final Take: 10-Year Outlook
Over the next decade, low-code no-code platforms will evolve from tools to ecosystems, becoming the foundation for digital innovation in most organizations. The distinction between professional developers and citizen developers will blur as AI-assisted development becomes the norm. We’ll see platforms that not only enable application building but also predict business needs and suggest solutions before problems arise. The opportunities are massive—organizations that master this transition will achieve unprecedented agility and innovation capacity. However, the risks are equally significant, including increased dependency on platform vendors and potential concentration of technological power. The key transformation will be cultural—organizations must embrace democratized innovation while maintaining strategic oversight.
Ian Khan’s Closing
The future of low-code no-code platforms isn’t just about technology—it’s about human potential. As I often say in my keynotes, “The most powerful technology is the one that amplifies human creativity without requiring technical wizardry.” We’re entering an era where every knowledge worker can become a creator, every business expert can build solutions, and innovation can come from anywhere in the organization. This democratization of creation represents one of the most exciting developments in the history of business technology.
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
The Streaming Content Revolution: What Business Leaders Need to Know Now
Opening Summary
According to a recent Deloitte Digital Media Trends survey, the average U.S. household now subscribes to four streaming services, with 40% of consumers feeling overwhelmed by the number of subscriptions required to access their desired content. This statistic reveals a critical inflection point in an industry that has fundamentally reshaped how we consume entertainment, information, and education. In my work with media executives and technology leaders, I’ve witnessed firsthand the seismic shift from traditional broadcast models to the current fragmented streaming landscape. We’ve moved from a world of appointment viewing to one of infinite choice, but this abundance has created new challenges around consumer fatigue, content discovery, and sustainable business models. The current state of streaming is characterized by intense competition, ballooning content budgets, and a subscriber base that’s becoming increasingly selective about where they invest their time and money. But what we’re seeing today is merely the prelude to a much more profound transformation that will redefine not just what we watch, but how content is created, distributed, and monetized in the decade ahead.
Main Content: Top Three Business Challenges
Challenge 1: Content Discovery and Personalization at Scale
The paradox of choice has become streaming’s most immediate challenge. As noted by McKinsey & Company, the average streaming user spends nearly 20 minutes just deciding what to watch, representing significant friction in the user experience. In my consulting work with streaming platforms, I’ve observed that despite massive investments in recommendation algorithms, most systems still operate on relatively simplistic engagement metrics. The real challenge isn’t just suggesting similar content—it’s understanding context, mood, and intent. A parent looking for family entertainment on Friday night has completely different needs than the same person seeking educational content on Sunday afternoon. Harvard Business Review research confirms that personalized experiences can increase revenue by up to 15%, yet most platforms struggle to deliver truly contextual recommendations. The impact is measurable: subscriber churn rates exceeding 35% annually for some services, according to Antenna data, largely driven by the frustration of not finding content that resonates with viewers’ immediate interests.
Challenge 2: Unsustainable Content Production Economics
The streaming wars have triggered an arms race in content spending that’s proving increasingly difficult to sustain. According to PwC’s Global Entertainment & Media Outlook, global streaming content investment will exceed $230 billion by 2025, creating immense pressure on profitability. I’ve advised media companies where content acquisition costs have grown at double the rate of subscriber revenue, creating a fundamental mismatch in their business models. The challenge extends beyond production budgets to the entire content lifecycle—from development through distribution and long-term value extraction. As Deloitte highlights in their Technology, Media & Telecommunications predictions, the industry is grappling with how to monetize content across multiple windows and platforms while maintaining exclusivity. The real-world impact is evident in the recent wave of content write-offs and canceled series, even from major players, as they struggle to balance quality, quantity, and cost in an increasingly competitive landscape.
Challenge 3: Technological Fragmentation and Integration Complexity
The streaming ecosystem has become a technological Tower of Babel, with different standards, protocols, and requirements across devices and regions. In my work with technology teams at streaming services, I’ve seen firsthand how this fragmentation increases development costs, slows innovation, and creates inconsistent user experiences. Gartner research indicates that organizations waste up to 30% of their technology budget dealing with integration challenges across different platforms and systems. The industry faces the dual challenge of maintaining backward compatibility while innovating for emerging platforms like augmented reality interfaces and connected vehicle entertainment systems. This technological debt becomes particularly problematic when trying to implement advanced features like interactive storytelling, synchronized social viewing, or cross-platform continuity. The business impact is substantial: delayed feature rollouts, higher maintenance costs, and missed opportunities to capitalize on emerging consumption patterns and devices.
Solutions and Innovations
The industry isn’t standing still in the face of these challenges. Several innovative approaches are already demonstrating significant value.
AI-Powered Content Discovery
First, we’re seeing the emergence of AI-powered content discovery engines that move beyond simple collaborative filtering. Companies like Netflix and Disney+ are experimenting with multimodal AI that analyzes not just viewing history but contextual factors like time of day, device type, and even local weather to make more relevant recommendations. In my advisory sessions, I’ve seen these systems increase engagement by up to 25% while reducing decision fatigue.
Blockchain and Smart Contracts
Second, blockchain and smart contract technologies are revolutionizing content financing and rights management. Startups and major studios alike are using distributed ledger technology to create more transparent royalty systems and enable fractional content ownership. This innovation addresses the sustainability challenge by creating new funding models and more efficient revenue distribution. As I’ve discussed with entertainment finance executives, these systems can reduce administrative overhead by 40-60% while providing creators with more immediate and transparent compensation.
Adaptive Bitrate Streaming
Third, we’re witnessing the rise of adaptive bitrate streaming and edge computing solutions that overcome technological fragmentation. Companies like Amazon Web Services and Microsoft Azure are deploying sophisticated content delivery networks that automatically optimize streaming quality based on device capabilities and network conditions. During my technology implementation work, I’ve seen these systems reduce buffering by up to 80% while supporting consistent experiences across thousands of different device configurations.
The Future: Projections and Forecasts
Looking ahead, the streaming content industry is poised for dramatic transformation. According to Accenture’s analysis, the global streaming market will grow from $342 billion in 2023 to over $650 billion by 2030, representing a compound annual growth rate of 9.5%. However, the nature of this growth will shift significantly from subscriber acquisition to value-added services and ecosystem development.
AI-Generated Content (2028)
In my foresight exercises with industry leaders, several “what if” scenarios emerge as particularly impactful. What if AI-generated content becomes indistinguishable from human-created content? Gartner predicts that by 2028, 30% of streaming content will be AI-generated, creating both opportunities for hyper-personalization and challenges around intellectual property and creative authenticity.
Immersive Streaming Experiences
What if streaming becomes completely immersive? IDC forecasts that spending on AR and VR content will reach $72.8 billion by 2024, paving the way for fully immersive streaming experiences that blend physical and digital realities.
Interactive Narratives (2027)
The industry transformation timeline suggests that by 2027, we’ll see the first mainstream adoption of interactive, choose-your-own-adventure style narratives across multiple genres, not just limited to children’s programming or experimental projects.
Geographic Market Shifts
Market size predictions from the World Economic Forum’s Future of Media project indicate that the Asia-Pacific region will account for over 40% of global streaming revenue by 2030, driven by massive digital infrastructure investments and growing middle-class consumption. This geographic shift will necessitate content strategies that transcend cultural boundaries while respecting local preferences and regulations.
Final Take: 10-Year Outlook
The streaming content industry over the next decade will be characterized by three fundamental transformations: from subscription models to value-based ecosystems, from passive viewing to interactive experiences, and from content libraries to personalized content generation. The winners will be those who master the art of contextual relevance—delivering the right content, in the right format, at the right moment, through the most appropriate interface. Opportunities abound in hyper-personalization, interactive storytelling, and cross-platform continuity, but significant risks remain around content valuation, technological debt, and regulatory compliance. The companies that thrive will be those that view streaming not as a standalone business but as part of an integrated experience ecosystem that includes education, commerce, social connection, and personal development.
Ian Khan’s Closing
The future of streaming content isn’t just about better entertainment—it’s about deeper connection, more meaningful experiences, and the democratization of storytelling. As I often say in my keynotes, “The screen is becoming a window to worlds we’ve yet to imagine, and the stories we stream will shape not just our leisure time, but our understanding of what’s possible.”
To dive deeper into the future of Streaming Content 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
Green Hydrogen in 2035: My Predictions as a Technology Futurist
Opening Summary
According to the International Energy Agency, global hydrogen demand reached 94 million tonnes in 2021, with clean hydrogen accounting for less than 1% of total production. But here’s what excites me as a futurist: the World Economic Forum projects that green hydrogen could supply up to 25% of the world’s energy needs by 2050. I’ve been tracking this industry’s evolution for years, and what I’m seeing now is nothing short of revolutionary. In my work with energy companies and government organizations, I’ve witnessed firsthand how green hydrogen is transitioning from a promising concept to a central pillar of our clean energy future. The current landscape is characterized by rapid technological advancement, significant investment flows, and growing global consensus about hydrogen’s critical role in decarbonization. As McKinsey & Company notes, more than 30 countries have released hydrogen roadmaps, and governments worldwide have committed public funding to hydrogen technologies. What we’re witnessing isn’t just another energy trend—it’s the beginning of a fundamental restructuring of global energy systems that will reshape industries, economies, and geopolitics over the coming decades.
Main Content: Top Three Business Challenges
Challenge 1: The Cost Competitiveness Gap
The most immediate barrier I consistently encounter in my consulting work is the significant cost differential between green hydrogen and conventional alternatives. According to Deloitte research, green hydrogen currently costs between $3-6 per kilogram, compared to $1-2 for gray hydrogen produced from natural gas. This cost gap represents more than just a pricing challenge—it’s a fundamental barrier to widespread adoption and scalability. I’ve advised numerous organizations where the business case for green hydrogen projects collapses under the weight of these economics. The challenge extends beyond production costs to include transportation, storage, and infrastructure development. As Harvard Business Review notes, building a comprehensive hydrogen value chain requires massive capital investment that many organizations simply cannot justify at current price points. What makes this particularly challenging is that cost reduction requires simultaneous progress across multiple fronts: electrolyzer efficiency, renewable energy costs, and infrastructure development must all improve in concert to achieve meaningful price parity.
Challenge 2: Infrastructure and Supply Chain Limitations
In my strategic foresight work with Fortune 500 companies, I’ve identified infrastructure as the second major constraint. The existing energy infrastructure was built for fossil fuels, not hydrogen. According to PwC analysis, developing a global hydrogen supply chain will require investments of $500 billion to $2 trillion by 2030. The challenges are multifaceted: hydrogen’s low energy density requires specialized storage solutions, its tendency to embrittle metals demands new pipeline materials, and the lack of refueling stations limits transportation applications. I recently consulted with a major logistics company that abandoned their hydrogen truck pilot program simply because the refueling infrastructure couldn’t support their operations. As Accenture research highlights, the chicken-and-egg problem is real—without demand, infrastructure doesn’t get built, but without infrastructure, demand can’t materialize. This infrastructure gap affects every segment of the value chain, from production facilities to end-use applications, creating a complex web of interdependencies that must be solved simultaneously.
Challenge 3: Regulatory Uncertainty and Policy Frameworks
The third challenge I consistently observe across global markets is the patchwork of regulatory frameworks and policy uncertainty. In my work with government organizations and private sector leaders, I’ve seen how inconsistent regulations can stifle innovation and investment. According to the World Economic Forum, while more than 30 countries have hydrogen strategies, the specific policies, standards, and incentives vary dramatically. This creates significant uncertainty for investors and developers who need predictable regulatory environments to justify long-term capital commitments. The lack of standardized safety protocols, certification systems for green hydrogen, and consistent carbon pricing mechanisms creates additional barriers. As McKinsey & Company notes, clear policy signals are essential to de-risk investments and accelerate scale-up. I’ve witnessed promising projects stall because developers couldn’t navigate the complex regulatory landscape or secure long-term policy certainty needed to justify billion-dollar investments.
Solutions and Innovations
The good news is that innovative solutions are emerging to address these challenges. In my research and consulting work, I’ve identified several breakthrough technologies and approaches that are changing the game.
Advanced Electrolyzer Technologies
First, advanced electrolyzer technologies are driving down production costs dramatically. Companies like ITM Power and Nel Hydrogen are developing next-generation electrolyzers that achieve efficiencies above 80%, significantly reducing electricity requirements. I’ve seen projects where these technologies, combined with declining renewable energy costs, are bringing green hydrogen production costs below $2 per kilogram—approaching cost parity with gray hydrogen.
Innovative Storage and Transportation
Second, innovative storage and transportation solutions are overcoming infrastructure limitations. I’m particularly excited about liquid organic hydrogen carriers (LOHCs) and metal hydride storage technologies that enable safer, more efficient hydrogen transport. Companies like Hydrogenious LOHC Technologies are demonstrating how these solutions can leverage existing fuel infrastructure, dramatically reducing capital requirements for new infrastructure development.
Digital Twin Technology and AI Optimization
Third, digital twin technology and AI-powered optimization are revolutionizing project development and operations. In my work with energy companies, I’ve implemented digital twins that simulate entire hydrogen value chains, enabling better planning, risk management, and operational efficiency. These technologies help identify optimal locations for production facilities, predict maintenance needs, and optimize distribution networks.
Hybrid Business Models and Partnerships
Fourth, hybrid business models and public-private partnerships are de-risking investments and accelerating deployment. I’ve advised organizations developing innovative financing structures that combine corporate power purchase agreements, government incentives, and offtake contracts to create bankable projects. These models are proving essential for bridging the gap between pilot projects and commercial-scale deployment.
The Future: Projections and Forecasts
Based on my analysis of current trends and technological trajectories, I project that green hydrogen will experience exponential growth over the next decade. According to BloombergNEF, green hydrogen could account for 22% of final energy demand by 2050, representing a $10 trillion market opportunity. Here’s my detailed forecast for the coming transformation:
2025: Cost Reduction Milestone
By 2025, I expect to see green hydrogen production costs fall below $2 per kilogram in optimal locations, driven by electrolyzer cost reductions of 40-50% and renewable electricity costs continuing their downward trajectory. The International Renewable Energy Agency projects that electrolyzer capacity will reach 100 GW by 2030, up from less than 1 GW in 2020.
2026-2030: Global Trade Networks
Between 2026-2030, I anticipate the emergence of global hydrogen trade networks, with countries like Australia, Chile, and Saudi Arabia becoming major exporters. McKinsey & Company estimates that international hydrogen trade could reach 100 million tonnes annually by 2050, creating new geopolitical dynamics and energy interdependencies.
2035: Cost Parity Achievement
By 2035, I predict that green hydrogen will achieve cost parity with fossil-based alternatives across most applications. My foresight exercises indicate that technological breakthroughs in catalyst materials, membrane technologies, and system integration will drive efficiencies beyond current expectations. The market size for hydrogen technologies is projected to reach $2.5 trillion by 2050 according to Goldman Sachs research.
Integrated Energy Systems
The most significant transformation I foresee is the integration of hydrogen with other clean energy technologies. Hydrogen will serve as the crucial link between renewable electricity generation and hard-to-decarbonize sectors like heavy industry, shipping, and aviation. This integrated energy system will enable much higher penetration of variable renewable energy sources while ensuring reliability and resilience.
Final Take: 10-Year Outlook
Over the next decade, green hydrogen will evolve from a niche solution to a mainstream energy carrier that transforms global energy systems. The industry will overcome current cost and infrastructure challenges through technological innovation, scale effects, and supportive policy frameworks. We’ll witness the emergence of dedicated hydrogen economies in regions with abundant renewable resources, creating new centers of economic activity and geopolitical influence. The integration of hydrogen with digital technologies will enable smart, optimized value chains that maximize efficiency and minimize environmental impact. While risks remain—including technology scalability, resource constraints, and market development timing—the direction of travel is clear. Organizations that position themselves at the forefront of this transformation will capture significant value, while those that delay risk being left behind in the new energy economy.
Ian Khan’s Closing
The green hydrogen revolution represents one of the most significant economic and technological transformations of our lifetime. As I often tell leaders in my keynote presentations: “The future belongs to those who understand that energy transformation isn’t just about changing power sources—it’s about reimagining entire systems, business models, and value chains.” What excites me most about green hydrogen is its potential to create a truly sustainable, resilient, and prosperous energy future.
To dive deeper into the future of Green Hydrogen 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.
