Top 5 Emerging Technologies Shaping the Next 5 Years

Introduction
Over the next five years, emerging technologies will redefine industries, transform lives, and drive unprecedented innovation. From generative artificial intelligence to groundbreaking developments in biotechnology, these technologies promise to unlock new possibilities and create profound impacts across multiple sectors. In this article, we explore the top five technologies poised to shape our future, offering insights into their current applications and potential for growth. As we delve into Generative AI, Additive Manufacturing, CRISPR and Gene Editing, Ultra High-Bandwidth Wireless Data, and Blockchain, as well as Advanced Stationary and Humanoid Robotics we uncover the transformative power and exciting prospects each brings to the table.

Generative AI
Generative AI, a subset of artificial intelligence, involves algorithms that can generate new content based on existing data. Unlike traditional AI, which relies on analyzing and interpreting data, Generative AI creates new data in the form of images, text, music, and more. This technology leverages deep learning models, particularly Generative Adversarial Networks (GANs) and Transformer models like GPT-4o and text-to-image models like DALL-E, to produce high-quality, human-like outputs.

Current applications of Generative AI span a wide range of industries. In the entertainment sector, it is used to create realistic video game characters and special effects in movies. For example, Epic Games utilizes GANs to generate lifelike characters in their Unreal Engine, enhancing the realism and immersion of video games. In the film industry, companies like Weta Digital use AI-driven tools to create sophisticated visual effects, making scenes more realistic and visually stunning.

In the field of content creation, AI-driven tools like OpenAI’s GPT-4o can generate articles, scripts, and even poetry, significantly reducing the time and effort required by human creators. Tools such as Jasper (formerly Jarvis) and Copy.ai use inputs from platforms like GPT-3 to help marketers and writers produce high-quality content quickly. These platforms enable users to generate compelling copy, blog posts, and social media content, enhancing productivity and creativity.

The healthcare industry benefits from Generative AI through the generation of synthetic medical data, which can be used for research and training without compromising patient privacy. For instance, Insilico Medicine uses GANs to simulate molecular structures, aiding in drug discovery and development. Additionally, AI models like DeepMind’s AlphaFold have revolutionized protein folding predictions, providing insights that can accelerate medical research and treatment development.

Looking ahead, the potential for Generative AI is vast. In the next few years, we can expect even more sophisticated and creative applications. Personalized content generation, where AI tailors’ outputs to individual preferences, will become more prevalent. For instance, platforms like Replika use AI to create personalized conversational experiences, adapting to user interactions to provide more relevant and engaging content.

Additionally, advancements in Generative AI could lead to breakthroughs in drug discovery by simulating and generating novel molecular structures. AI-driven platforms such as Atomwise use deep learning to predict the binding affinity of molecules, streamlining the drug discovery process and reducing the time and cost involved. As the technology continues to evolve, its ability to enhance creativity, efficiency, and innovation across various domains will only grow, making it a pivotal force in shaping the future.

Additive Manufacturing
Additive Manufacturing, commonly known as 3D printing, is a transformative technology that builds objects layer by layer from digital models. Unlike traditional manufacturing methods that often involve cutting away material from a solid block, additive manufacturing adds material precisely where needed, reducing waste and allowing for highly complex and customized designs.

In its current state, Additive Manufacturing is revolutionizing various industries. In the automotive sector, companies like BMW use selective laser sintering (SLS) and direct metal laser sintering (DMLS) technologies to create lightweight yet strong components that enhance fuel efficiency and performance. Specific models such as the EOSINT M 280 by EOS are popular for producing high-quality metal parts. In aerospace, firms like Boeing employ 3D printing to produce parts for aircraft, such as fuel nozzles and structural components, which are both lighter and stronger than those made with traditional methods. The Stratasys F900, for example, is a machine used for printing large, high-strength parts of this nature.

The healthcare industry benefits immensely from 3D printing, particularly in the production of custom prosthetics and implants. Companies like Formlabs utilize stereolithography (SLA) printers such as the Form 3B to create highly detailed prosthetic devices tailored to individual patients. Additionally, bioprinting technologies from companies like Organovo are pioneering the production of tissues and organs, with the NovoGen Bioprinter® Platform being a key tool in this innovative process. These advancements allow for the creation of complex biological structures that can be used for research, drug testing, and potentially organ transplants in the future.

Consumer goods manufacturers also leverage 3D printing to produce intricate designs and personalized products that would be impossible or too costly to create with conventional methods. For instance, Nike uses 3D printing to develop customized footwear, enhancing both design and functionality. The HP Multi Jet Fusion 5200 series is a commonly used printer in the consumer goods sector due to its ability to produce detailed and durable parts quickly and efficiently.

The future potential of Additive Manufacturing is immense. As the technology advances, we can expect faster production speeds and broader material compatibility, including metals, ceramics, and bio-materials. Innovations in additive manufacturing are also poised to enhance sustainability by enabling localized production and reducing the need for extensive supply chains. This could lead to a significant reduction in carbon footprints and material waste. Moreover, the ability to rapidly prototype and iterate designs will accelerate innovation across all fields, from fashion to industrial design. As Additive Manufacturing continues to evolve, its impact on manufacturing processes, product development, and industry sustainability will be profound, solidifying its role as a cornerstone technology of the future.

CRISPR and Gene Editing
CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) and gene editing technologies are at the forefront of biotechnology, offering precise and efficient methods for altering DNA. This revolutionary technology allows scientists to make specific changes to the genetic code, enabling the correction of genetic defects, the study of gene functions, and the development of new treatments for various diseases.

Currently, CRISPR is being used extensively in medical research. It has shown promise in treating genetic disorders such as sickle cell anemia and cystic fibrosis by correcting mutations at the DNA level. For example, researchers at Editas Medicine are using CRISPR to develop treatments for sickle cell anemia by targeting and correcting the defective hemoglobin gene. In cancer research, CRISPR is being utilized to identify and target specific genes that drive tumor growth, paving the way for more effective therapies. The CRISPR-Cas9 system allows for precise modifications, making it possible to deactivate oncogenes or repair tumor suppressor genes. Agricultural applications are also significant, with CRISPR being used to develop crops that are more resistant to pests, diseases, and environmental stresses, potentially enhancing food security. Companies like Corteva Agriscience are using CRISPR to create drought-resistant maize and disease-resistant rice, improving crop yields and resilience.

Looking to the future, the potential of CRISPR and gene editing is vast and transformative. One of the most exciting prospects is the possibility of eradicating inherited genetic disorders entirely. Advances in this technology could also lead to the development of personalized medicine, where treatments are tailored to an individual’s genetic makeup, significantly improving their efficacy and reducing side effects. For instance, Intellia Therapeutics is working on in vivo CRISPR therapies that directly edit genes within the human body, providing personalized treatment options for a range of genetic disorders. Additionally, CRISPR could play a critical role in synthetic biology, enabling the creation of organisms with novel functions, such as bacteria that can produce biofuels or degrade environmental pollutants. Researchers at the University of California, Berkeley, are exploring the use of CRISPR to engineer bacteria that can convert waste products into renewable energy sources.

As CRISPR technology continues to evolve, ethical considerations and regulatory frameworks will be crucial in guiding its application. Organizations like the National Institutes of Health (NIH) and the World Health Organization (WHO) are developing guidelines to ensure the responsible use of gene editing technologies. Nevertheless, the ability to edit genes with precision and efficiency holds immense promise for improving human health, enhancing agricultural productivity, and addressing some of the most pressing challenges of our time.

Ultra-high Bandwidth (5G & 6G) Wireless Data
Ultra-high bandwidth wireless data technologies, particularly 5G and the upcoming 6G, represent a leap forward in connectivity, promising to revolutionize how we interact with the digital world. As the fifth generation of mobile networks, 5G offers significantly higher speeds, lower latency, and greater capacity than its predecessors. For example, 5G networks can achieve download speeds of up to 10 Gbps, significantly higher than the 100 Mbps offered by 4G networks. Qualcomm’s Snapdragon X60 5G modem is one such example, capable of aggregating multiple 5G frequency bands to maximize speed and efficiency.

Currently, 5G is being rolled out globally, enhancing mobile internet speeds and enabling real-time communication for applications such as autonomous vehicles, smart cities, and remote healthcare. In autonomous vehicles, companies like Tesla and Waymo rely on 5G’s low latency to ensure real-time data transmission between vehicles and control centers, enhancing safety and operational efficiency. Smart cities, such as those being developed in South Korea, use 5G to connect thousands of sensors and devices, optimizing traffic flow, energy usage, and public safety. In healthcare, remote surgeries and telemedicine consultations are becoming more feasible with 5G, as exemplified by Verizon’s 5G-enabled telehealth solutions.

Its ability to handle massive amounts of data with minimal delay is also crucial for the emerging evolution of the Internet of Things (IoT), allowing a vast network of interconnected devices to communicate seamlessly. For instance, in smart manufacturing, 5G enables real-time monitoring and control of production lines, as seen in factories operated by Siemens, which use 5G to reduce downtime and enhance productivity. The Ericsson Industry Connect platform provides a private 5G network solution tailored for industrial environments, highlighting the critical role of 5G in modern manufacturing.

The future potential of 6G, anticipated to emerge around 2030, promises even more transformative possibilities. With speeds up to 100 times faster than 5G and latency reduced to mere microseconds, 6G will enable advanced applications such as immersive virtual and augmented reality experiences, high-fidelity holographic communication, and ubiquitous AI-driven services. Nokia Bell Labs and Samsung are at the forefront of 6G research, exploring technologies like terahertz (THz) frequencies to achieve these capabilities. The integration of 6G with satellite networks, being developed by companies like SpaceX and OneWeb, will ensure global coverage, bridging the digital divide and providing reliable internet access in remote and underserved areas.

Ultra high-bandwidth wireless data technologies will also enhance the capabilities of existing infrastructures. Enhanced connectivity will support the development of more sophisticated IoT ecosystems, enabling smarter energy grids, intelligent transportation systems, and advanced healthcare solutions. For example, smart energy grids equipped with 5G and future 6G technologies will be able to balance supply and demand dynamically, integrating renewable energy sources more efficiently. Intelligent transportation systems will benefit from real-time data exchange between vehicles and infrastructure, reducing traffic congestion and improving safety. Advanced healthcare solutions will include real-time health monitoring and diagnostics, facilitated by continuous and reliable data transmission.

As these technologies evolve, they will play a pivotal role in driving innovation, improving quality of life, and fostering economic growth on a global scale.

Blockchain and Distributed Ledger Technologies
Blockchain and distributed ledger technologies (DLT) are reshaping the way data is stored, secured, and exchanged across various sectors. At its core, blockchain is a decentralized digital ledger that records transactions across multiple computers in a way that ensures security, transparency, and immutability.

Currently, blockchain technology is most well-known for its use in cryptocurrencies like Bitcoin and Ethereum, which facilitate secure and transparent financial transactions without the need for intermediaries. Bitcoin, for example, uses the SHA-256 cryptographic hash function to secure transactions, while Ethereum utilizes the Keccak-256 hash function. Beyond cryptocurrencies, blockchain is being utilized in supply chain management to enhance traceability and reduce fraud. For instance, IBM’s Food Trust blockchain platform allows consumers to verify the authenticity and origin of products, from farm to table, by tracking their journey through the supply chain using a secure, immutable ledger.

In the healthcare sector, blockchain is improving patient data management by providing a secure, decentralized system for storing and sharing medical records. Solutions like MedRec, developed by MIT, use blockchain technology to create a transparent and immutable medical record system that gives patients control over their own data while ensuring privacy and security. Similarly, projects like SimplyVital Health use blockchain to streamline healthcare operations and improve data interoperability between different healthcare providers.

The future potential of blockchain and DLT extends far beyond these applications. One promising area is the implementation of smart contracts—self-executing contracts with the terms directly written into code. Platforms like Ethereum facilitate the creation of these smart contracts, which can automate and streamline complex transactions, reducing the need for intermediaries and minimizing the risk of disputes. For example, the Decentralized Autonomous Organization (DAO) uses smart contracts to automate governance and decision-making processes, ensuring transparency and reducing the potential for human error or manipulation.

Additionally, blockchain has the potential to revolutionize voting systems by providing a transparent, tamper-proof platform for conducting elections, thereby enhancing trust and participation. Projects like Voatz and Follow My Vote are developing blockchain-based voting systems that ensure the integrity and transparency of electoral processes by securely recording votes on a distributed ledger.

Another significant area of growth is in decentralized finance (DeFi), where blockchain enables the creation of financial instruments that operate without traditional banking infrastructure. DeFi platforms like Uniswap and Compound use blockchain technology to offer financial services such as lending, borrowing, and trading without the need for centralized intermediaries. This democratizes access to financial services, particularly in regions with underdeveloped banking systems, by providing secure and transparent alternatives.

Moreover, the integration of blockchain with the Internet of Things (IoT) could enhance data security and interoperability among connected devices. Solutions like IOTA use a distributed ledger called the Tangle to facilitate secure and scalable transactions between IoT devices, ensuring data integrity and enabling automated machine-to-machine interactions.

As blockchain technology continues to evolve, addressing challenges such as scalability, energy consumption, and regulatory compliance will be crucial. For instance, Ethereum 2.0 aims to improve scalability and reduce energy consumption by transitioning from a proof-of-work (PoW) consensus mechanism to a proof-of-stake (PoS) model. However, its ability to provide secure, transparent, and decentralized solutions makes it a cornerstone technology with the potential to transform industries, improve efficiencies, and foster greater trust in digital transactions.

Bonus #6: Advanced Stationary and Humanoid Robotics
The field of robotics is experiencing significant advancements, particularly in the areas of sensors, mobility, dexterity and integration with machine learning and generative Ai.

Stationary robots are now equipped with advanced sensors and actuators that enhance their precision and efficiency. These components allow robots to perform high-precision tasks that were previously challenging or impossible, significantly boosting productivity in manufacturing. For example, in the electronics manufacturing industry, robots such as the ABB IRB 1200, equipped with Cognex In-Sight 7000 series vision sensors, can assemble delicate components on printed circuit boards with micron-level accuracy. The Cognex In-Sight 7000 series uses high-resolution cameras and advanced image processing algorithms to ensure each component is placed precisely, reducing errors and improving the reliability of electronic devices.

In the automotive industry, stationary robots like the Fanuc ARC Mate 100iC, equipped with Keyence GV-7000 series laser displacement sensors, can execute intricate welding tasks with unparalleled accuracy. The GV-7000 series sensors provide real-time feedback on the position and alignment of parts, allowing the robot to adjust its operations dynamically and ensure perfect, consistent welds, which is critical for the safety and performance of vehicles.

This level of precision not only improves product quality but also reduces waste and operational costs. By minimizing errors and the need for rework, manufacturers can save significant amounts of time and resources. For example, in the aerospace industry, robots such as the KUKA KR QUANTEC nano, fitted with Renishaw RMP600 high-precision touch probe sensors, can drill and assemble parts with exceptional accuracy, ensuring the structural integrity of aircraft while reducing material waste. The RMP600 sensor uses radio transmission for signal reliability and can operate in challenging environments, providing precise measurements essential for aerospace applications.

Robots such as these can operate continuously without fatigue, further enhancing efficiency and reducing downtime. The integration of such high-precision capabilities in manufacturing processes leads to a more streamlined and cost-effective production environment, ultimately driving competitiveness and innovation in various industries.

The integration of stationary robots with automated production lines has revolutionized manufacturing. These robots seamlessly work alongside other machinery and systems, creating a cohesive and highly efficient production environment. This integration allows for continuous production flows, minimizing downtime and increasing the flexibility of manufacturing systems. Manufacturers can quickly adapt to new production demands without extensive reconfiguration, making the entire process more responsive to market needs. For instance, in the food and beverage industry, robots can switch between packaging different products with minimal adjustments, enhancing overall productivity and efficiency.

Advanced safety and reliability features are critical for the operation of robots in environments shared with human workers. Modern robots are equipped with sensors that detect human presence and halt operations to prevent accidents, ensuring a safer workplace. These safety features are essential in reducing workplace injuries and fostering a safer working environment. For example, collaborative robots, or cobots, are designed to work alongside humans, taking over repetitive or hazardous tasks and allowing human workers to focus on more complex and creative aspects of production. This collaborative approach not only enhances safety but also improves overall productivity and worker satisfaction.

Advanced safety and reliability features are critical for the operation of robots in environments shared with human workers. Modern robots are equipped with sensors that detect human presence and halt operations to prevent accidents, ensuring a safer workplace. These sensors include the SICK S3000 Safety Laser Scanner, which provides area monitoring and protects personnel by creating protective fields around the robot. When a human enters the field, the robot automatically stops, preventing any potential accidents. Additionally, the Keyence SZ-V Series Safety Laser Scanner offers customizable detection zones and can be integrated into various robotic systems for enhanced safety.

These safety features are essential in reducing workplace injuries and fostering a safer working environment. For example, the Universal Robots UR10e, a popular cobot model, is equipped with built-in force sensors that detect unexpected resistance or collisions. This allows the cobot to stop immediately if it encounters a human or obstacle, reducing the risk of injury. Similarly, the FANUC CR-35iA, a collaborative robot, features soft green exterior padding and integrated safety sensors to ensure safe interaction with human workers.

Collaborative robots, or cobots, are designed to work alongside humans, taking over repetitive or hazardous tasks and allowing human workers to focus on more complex and creative aspects of production. Cobots like the KUKA LBR iiwa (Intelligent Industrial Work Assistant) are equipped with torque sensors in every joint, allowing them to perform delicate tasks that require human-like sensitivity. These robots can be easily programmed to perform a variety of tasks, from assembly to quality inspection, reducing the burden on human workers.

This collaborative approach not only enhances safety but also improves overall productivity and worker satisfaction. By automating mundane and physically demanding tasks, cobots enable human workers to engage in more value-added activities, such as process optimization and innovation. This leads to higher job satisfaction and can attract a more skilled workforce to the manufacturing sector. Furthermore, the use of cobots can reduce labor costs and increase production efficiency, as robots can operate continuously without breaks.

Humanoid robots have seen remarkable advancements in dexterity and mobility, thanks to the development of advanced limbs and joints. These robots can now perform precise movements and complex tasks, making them suitable for a wide range of applications in dynamic environments. For instance, in healthcare, humanoid robots can assist with patient care, perform surgeries with high precision, and provide companionship to elderly patients. Their ability to navigate and interact within human environments makes them invaluable in scenarios where human-like dexterity and mobility are required.

The integration of artificial intelligence in humanoid robots has significantly enhanced their ability to interact naturally with humans. These robots leverage AI for speech recognition, facial expressions, and gestures, allowing them to communicate and interact in a more intuitive and responsive manner. For instance, the SoftBank Robotics Pepper robot utilizes IBM Watson’s AI capabilities for advanced speech recognition and natural language processing, enabling it to understand and respond to a wide range of human queries. Pepper’s facial recognition technology, powered by the ZoraBot software, allows it to detect and interpret human emotions, adjusting its interactions accordingly.

This capability is particularly valuable in service and caregiving roles, where robots can assist with daily tasks, provide emotional support, and improve the overall quality of life for individuals. For example, the Honda Asimo robot is equipped with AI that allows it to navigate and interact within human environments, helping with tasks such as fetching items, providing reminders for medication, and even offering companionship to the elderly. Asimo’s advanced AI enables it to adapt to the needs of its users, making it an invaluable tool in caregiving settings.

In customer service, humanoid robots can engage with customers, answer queries, and provide information, enhancing the customer experience and freeing human staff to handle more complex interactions. The Nao robot, also developed by SoftBank Robotics, is frequently used in retail and hospitality settings. Nao’s AI capabilities include multi-language speech recognition, enabling it to assist customers from diverse linguistic backgrounds. Its ability to perform dynamic gestures and maintain eye contact makes interactions more engaging and human-like, thereby improving customer satisfaction.

Overall, the integration of AI in humanoid robots is revolutionizing their functionality, making them more adept at interacting with humans and providing valuable assistance across various sectors. This technological advancement not only enhances the efficiency and effectiveness of service delivery but also enriches the human experience by offering personalized and responsive support.

As you can see, these and other advancements in stationary and humanoid robotics are transforming multiple industries by enhancing productivity, safety, and versatility. These technologies are paving the way for a future where robots play an integral role in both industrial and everyday settings, driving both innovation and quality of life improvements.

Final Thoughts
The next five years promise to be an era of unprecedented technological advancement, driven by breakthroughs in Generative AI, Additive Manufacturing, CRISPR and Gene Editing, Ultra-high Bandwidth Wireless Data, and Blockchain as well as Advanced Stationary and Humanoid Robotics. These technologies are not only transforming industries but also redefining the way we live, work, and interact with the world. As Generative AI enhances creativity and efficiency, Additive Manufacturing revolutionizes production processes, and CRISPR paves the way for personalized medicine, we are on the brink of a new technological frontier. Meanwhile, ultra-high bandwidth wireless data will connect the world more seamlessly than ever before, and Blockchain will ensure our digital transactions are secure and transparent. Embracing and understanding these technologies will be essential for businesses and individuals alike to thrive in the rapidly evolving landscape of the future.

SOURCES:

Generative AI
Generative AI: Capturing the opportunity: https://www.mckinsey.com/capabilities/quantumblack/how-we-help-clients/generative-ai
Generative AI is here: How tools like ChatGPT could change your business: https://www.mckinsey.com/capabilities/quantumblack/our-insights/generative-ai-is-here-how-tools-like-chatgpt-could-change-your-business
What is generative AI?: https://www.mckinsey.com/featured-insights/mckinsey-explainers/what-is-generative-ai
The takers, shapers, and makers of gen AI: https://www.mckinsey.com/featured-insights/themes/the-takers-shapers-and-makers-of-gen-ai
Generative AI can give you “superpowers,” McKinsey research finds:  https://www.mckinsey.com/about-us/new-at-mckinsey-blog/generative-ai-can-give-you-superpowers-new-mckinsey-research-finds
The state of AI in early 2024: Gen AI adoption spikes and starts to generate value: https://www.mckinsey.com/capabilities/quantumblack/our-insights
A generative AI reset: Rewiring to turn potential into value in 2024:  https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/a-generative-ai-reset-rewiring-to-turn-potential-into-value-in-2024
What’s the future of generative AI? An early view in 15 charts: https://www.mckinsey.com/featured-insights/mckinsey-explainers/whats-the-future-of-generative-ai-an-early-view-in-15-charts
The economic potential of generative AI: The next productivity frontier: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier
100 articles on generative AI: https://www.mckinsey.com/featured-insights/themes/100-articles-on-generative-ai
The path to generative AI value: Setting the flywheel in motion: https://www.pwc.com/gx/en/issues/technology/path-to-generative-ai-value.html
Six generative AI takeaways for CIOs: https://www.pwc.com/us/en/tech-effect/ai-analytics/generative-ai-takeaways-for-cios.html|
Gen AI is a tool for growth, not just efficiency: https://www.pwc.com/gx/en/issues/c-suite-insights/the-leadership-agenda/gen-ai-is-a-tool-for-growth-not-just-efficiency.html
What changes minds on GenAI? Adopting it: https://www.pwc.com/gx/en/issues/c-suite-insights/the-leadership-agenda/ctos-and-generative-ai-for-business.html
GenAI: Creating value through governance: https://www.pwc.co.uk/insights/generative-artificial-intelligence-creating-value-through-governance.html
Is GenAI a game changer for the emobility ecosystem? https://www.pwc.com/m1/en/publications/is-gen-ai-a-game-changer-for-the-emobility-ecosystem.html
Epic Games: Unreal Engine and AI
Weta Digital: AI in Visual Effects
OpenAI: GPT-3 Applications
Insilico Medicine: AI in Drug Discovery
DeepMind: AlphaFold
Jasper: AI Content Creation
Replika: AI Conversations
Atomwise: AI Drug Discovery

Additive Manufacturing
Video: Pierluigi Serlenga: The Key Considerations to Shaping Your 3-D Printing Strategy: https://www.bain.com/insights/pierluigi-serlenga-the-key-considerations-to-shaping-your-3d-printing-strategy-video/
3D printing at the threshold to mass production: https://www.bain.com/about/media-center/press-releases/germany/2015/3d-druck-an-der-schwelle-der-massenanfertigung/
Five questions to shape a winning 3-D printing strategy: https://www.bain.com/insights/five-questions-to-shape-a-winning-3d-printing-strategy-industry-week/
Factory of the Future: How Industry 4.0 and AI Can Transform Manufacturing: https://www.bain.com/insights/factory-of-the-future-how-industry-4-0-and-ai-can-transform-manufacturing/
Machinery industry can seize up to 50% productivity boost from ‘factory of the future’ innovations led by AI – Bain & Co report: https://www.bain.com/about/media-center/press-releases/2024/machinery-industry-can-seize-up-to-50-productivity-boost-from-factory-of-the-future-innovations-led-by-ai–bain–co-report/
Winning with 3D printing: https://www.bain.com/insights/winning-3d-printing-infographic/
BMW: Using SLS and DMLS in automotive
Boeing: 3D printing in aerospace
Formlabs: 3D printing in healthcare
Organovo: Bioprinting technologies
Nike: 3D printing in consumer goods
HP: Multi Jet Fusion 5200 series

CRISPR and Gene Editing
Genome Editing in Medicine: Tools and Challenges: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133615/
An Update on the Application of CRISPR Technology in Clinical Practice: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10239226/
Strategies to overcome the main challenges of the use of CRISPR/Cas9 as a replacement for cancer therapy: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892709/
CRISPR-Cas9: A Preclinical and Clinical Perspective for the Treatment of Human Diseases: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854284/
Why genome editing technologies are creating buzz in medicine: https://www.ey.com/en_us/insights/strategy/genome-editing-technologies-creating-buzz-in-medicine
Brief: How Industrial and Technology Giants Can Set the Service Pace: https://www.bain.com/insights/how-industrial-and-technology-giants-can-set-the-service-pace/
Beyond Borders: EY Biotechnology Report 2024: https://www.ey.com/en_us/life-sciences/biotech-outlook
Beyond Borders 2023: Biotech is facing a complex path forward, says EY report: https://www.ey.com/en_us/newsroom/2023/06/beyond-borders-2023-biotech-is-facing-a-complex-path-forward-says-ey-report
Beyond borders: EY Biotechnology report 2022 databook: https://www.ey.com/en_us/life-sciences/beyond-borders-databook#:~:text=Around%2066%25%20of%20the%20total,over%20the%20previous%2010%20years.
Editas Medicine: CRISPR in Sickle Cell Anemia
Intellia Therapeutics: In Vivo CRISPR Therapies
Corteva Agriscience: CRISPR in Agriculture
University of California, Berkeley: CRISPR and Synthetic Biology
National Institutes of Health (NIH): Gene Editing Guidelines
World Health Organization (WHO): Gene Editing Policies

Ultra-high Bandwidth (5G & 6G) Wireless Data
5G. Think big. Accelerate to get ahead.: https://www.accenture.com/us-en/services/communications-media/5gacceleration
Your 5G Journey: https://www.accenture.com/us-en/insights/communications-media/your5gjourney
The Impact of 5G on the United States Economy: https://www.accenture.com/content/dam/accenture/final/a-com-migration/pdf/pdf-146/accenture-5g-wp-us.pdf   
What is 5G?: https://www.accenture.com/us-en/insights/5g-index
ACCELERATING  THE 5G FUTURE OF BUSINESS: https://www.accenture.com/content/dam/accenture/final/a-com-migration/r3-additional-pages-1/pdf/accenture-accelerating-5g-future.pdf
Qualcomm: Snapdragon X60 5G Modem
Verizon: 5G Telehealth Solutions
Ericsson: Industry Connect
Nokia Bell Labs: 6G Research
SpaceX: Starlink
Samsung: 6G Vision

Blockchain and Distributed Ledger Technologies
Crypto Center: Learn about crypto with PwC’s open source of knowledge:  https://www.pwc.com/gx/en/about/new-ventures/crypto-center.html
Tokenization in financial services: Delivering value and transformation: https://www.pwc.com/us/en/tech-effect/emerging-tech/tokenization-in-financial-services.html
Blockchain technologies could boost the global economy US$1.76 trillion by 2030 through raising levels of tracking, tracing and trust: https://www.pwc.com/gx/en/news-room/press-releases/2020/blockchain-boost-global-economy-track-trace-trust.html
PwC Director: Blockchain Impact Could Create Winners and Losers: https://www.coindesk.com/markets/2016/02/24/pwc-director-blockchain-impact-could-create-winners-and-losers/
Establishing blockchain policy: https://www.pwc.com/m1/en/publications/documents/establishing-blockchain-policy-pwc.pdf  
Blockchain is here. Whats your next move?: https://www.pwc.com/jp/ja/knowledge/thoughtleadership/2018/assets/pdf/blockchain-in-business-en.pdf
The Developing Role of Blockchain: https://www.pwc.com/gx/en/energy-utilities-mining/pdf/blockchain-white-paper.pdf
Establishing blockchain policy: Strategies for the governance of distributed ledger technology ecosystems: https://www.pwc.com/m1/en/publications/establishing-blockchain-policy.html
Blockchain: The technology with great potential for increased trust and transparency in economic and social interactions.: https://www.pwc.de/en/digitale-transformation/blockchain.html
Making sense of bitcoin, cryptocurrency and blockchain: https://www.pwc.com/us/en/industries/financial-services/fintech/bitcoin-blockchain-cryptocurrency.html
PWC Blockchain: https://www.pwc.co.uk/blockchain.html
IBM: IBM Food Trust
MIT: MedRec
Ethereum: Ethereum Smart Contracts
Voatz: Blockchain Voting
Uniswap: DeFi Platform
IOTA: The Tangle

Advanced Stationary and Humanoid Robotics
IBM: AI-powered speech recognition
SoftBank Robotics: Pepper robot capabilities
Honda: Asimo robot features
SoftBank Robotics: Nao robot in customer service
PwC: Enhancing workplace safety with robotics
Accenture: Innovations in robotics for manufacturing