Why AI will dwarf every tech revolution before it: robots, manufacturing, AR glasses from CES 2026
In this episode of All-In, the hosts discuss how AI technology is reshaping industries and workplaces. The conversation examines AI's unprecedented impact compared to previous technological revolutions, with specific examples from companies like McKinsey and Stripe showing how AI integration is changing traditional business operations and accelerating company growth.
The discussion extends to broader implications for the future workforce, including the need for workers to develop skills that complement rather than compete with AI. The hosts explore potential solutions for adapting to these changes, from restructuring organizational hierarchies to implementing new educational models that support continuous learning throughout workers' careers.
This is a preview of the Shortform summary of the Jan 8, 2026 episode of the All-In with Chamath, Jason, Sacks & Friedberg
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1-Page Summary
The Transformative Impact of AI and Emerging Technologies
During CES 2026, Jason Calacanis leads a discussion about unprecedented technological advancement, particularly in AI. Hemant Taneja describes this era as one of "peak ambiguity," where massive geopolitical changes accompany rapidly evolving technology. According to Calacanis, AI's impact will surpass all previous tech revolutions, including the PC, internet, mobile, and cloud computing eras.
The Changing Nature of Work and the Workforce
Taneja highlights how AI is dramatically accelerating business scaling, citing examples like Stripe's growth to a $100 billion company in just 12-13 years. The integration of AI is transforming traditional jobs across sectors, from healthcare to HR. McKinsey, for instance, saved 1.5 million hours last year by shifting routine tasks to AI, allowing their workforce to focus on more complex problems.
Strategies For Enterprises to Adapt To Technological Disruption
Bob Sternfels emphasizes the urgency for businesses to integrate AI and automation across their operations. Companies are adjusting their organizational structures to accommodate this shift, with McKinsey demonstrating this through their increased focus on client-facing roles while reducing non-client-facing positions. Taneja notes that enterprises must prepare all departments for AI integration, including manufacturing, where robotics could help U.S. companies compete with China's cost advantages.
Rethinking Education and Career Development for the Future
Looking ahead, Calacanis and Taneja stress the importance of developing uniquely human skills that AI cannot replicate, such as aspiration, judgment, and creativity. Taneja proposes a lifelong college model to help workers keep pace with evolving technologies. The speakers emphasize that continuous reskilling and building resilience will be crucial as technology continues to reshape the workforce landscape.
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Additional Materials
Clarifications
- CES (Consumer Electronics Show) is an annual global event where companies showcase the latest innovations in technology. It serves as a key platform for industry leaders to announce breakthroughs and set trends for the coming year. The event attracts a wide range of participants, including startups, established tech firms, and media, making it influential in shaping technology discussions. CES 2026 continues this tradition, highlighting cutting-edge developments like AI and emerging technologies.
- Jason Calacanis is a well-known entrepreneur, angel investor, and tech commentator recognized for his insights on startups and emerging technologies. Hemant Taneja is a prominent venture capitalist and managing partner at a major investment firm, focusing on technology-driven companies. Their opinions matter because they have extensive experience investing in and advising innovative tech businesses. Their perspectives influence industry trends and business strategies in the technology sector.
- "Peak ambiguity" refers to a period when uncertainty and complexity are at their highest levels. In technology and geopolitics, it means rapid changes create unclear outcomes and unpredictable impacts. This makes decision-making difficult as traditional rules and patterns no longer apply. It highlights the challenge of navigating a world where both tech advances and global power shifts happen simultaneously.
- AI surpasses previous technological revolutions by automating complex cognitive tasks, not just manual or repetitive ones. It enables machines to learn, adapt, and improve from data, creating new capabilities like natural language understanding and advanced decision-making. Unlike past technologies that primarily enhanced tools or connectivity, AI transforms entire workflows and industries by augmenting human intelligence. This leads to faster innovation cycles and broader economic impact across diverse sectors.
- AI accelerates business scaling by automating repetitive tasks, enabling faster decision-making through data analysis, and personalizing customer experiences at scale. For example, Amazon uses AI-driven logistics to optimize inventory and delivery, reducing costs and speeding up service. Netflix leverages AI algorithms to recommend content, increasing user engagement and retention. AI-powered chatbots and virtual assistants help companies provide 24/7 customer support without proportional increases in staff.
- AI can perform routine tasks such as data entry, scheduling, basic customer inquiries, and document review. Automating these tasks reduces manual effort and errors, speeding up workflows. This allows employees to focus on complex analysis, strategy, and decision-making. As a result, companies like McKinsey save significant time and increase productivity.
- Client-facing roles involve direct interaction with customers or clients, such as sales, consulting, or support. Non-client-facing roles focus on internal tasks like administration, research, or IT support. This distinction matters because client-facing roles drive revenue and customer satisfaction, making them critical during business shifts. Organizations may prioritize these roles to enhance agility and growth while automating or reducing non-client-facing tasks.
- Robotics in manufacturing automates repetitive tasks, increasing speed and precision while reducing labor costs. This efficiency helps U.S. companies lower production expenses despite higher wages compared to China. Advanced robotics also improve product quality and consistency, enhancing competitiveness. Additionally, automation enables flexible manufacturing, allowing quicker adaptation to market changes.
- Uniquely human skills include creativity, emotional intelligence, critical thinking, and ethical judgment. These skills involve complex understanding, empathy, and innovation that AI cannot fully mimic because they require consciousness and subjective experience. They are important for future careers as they enable humans to solve novel problems, lead teams, and make nuanced decisions. Developing these skills helps workers complement AI rather than compete with it.
- A "lifelong college model" refers to an education system where learning is continuous throughout a person's life, not limited to early adulthood. It emphasizes ongoing skill development and adaptation to changing job requirements due to technological advances. Unlike traditional education, which is often front-loaded and time-limited, this model supports frequent retraining and upskilling. It aims to keep workers relevant and competitive in a rapidly evolving workforce.
- Continuous reskilling means regularly learning new skills or updating existing ones to stay relevant as job requirements evolve. Building resilience involves developing adaptability, emotional strength, and problem-solving abilities to handle workplace changes and challenges. Workers can engage in online courses, workshops, or on-the-job training to maintain their skill sets. Cultivating a growth mindset helps individuals embrace change and recover quickly from setbacks.
Counterarguments
- While AI has the potential to surpass previous tech revolutions, it's also possible that the integration challenges and societal impacts could slow its transformative impact, making it more on par with previous technological shifts.
- The term "peak ambiguity" suggests a high level of uncertainty, but it could also be argued that every era of rapid technological change has been accompanied by similar feelings of ambiguity and uncertainty.
- Stripe's rapid growth is impressive, but attributing it solely to AI may overlook other factors such as market conditions, business strategy, and regulatory environments that also play critical roles in a company's success.
- AI's transformation of traditional jobs may not be uniformly positive; there are concerns about job displacement and the potential for increased inequality if reskilling and employment support are not adequately provided.
- The claim that AI saves time by automating routine tasks assumes that the time saved is always redirected towards more valuable work, which may not always be the case due to various organizational inefficiencies.
- The urgency for businesses to integrate AI and automation must be balanced with considerations of ethical implications, data privacy, and potential biases in AI systems.
- Restructuring organizational roles in response to AI may not be a one-size-fits-all solution; different industries and companies may require unique approaches to integration that consider their specific contexts and workforce dynamics.
- While robotics and AI can help U.S. companies compete with China's cost advantages, this competition also depends on factors like trade policies, intellectual property rights, and the global supply chain dynamics.
- Developing uniquely human skills is important, but AI's capabilities in areas like creativity and judgment are also advancing, potentially narrowing the gap between human and AI abilities in the future.
- A lifelong college model for continuous learning is a valuable concept, but it may not be accessible or practical for all workers, and alternative models of education and skill development may also be necessary.
- Continuous reskilling and resilience are important, but there should also be a focus on creating a supportive policy framework that ensures equitable access to training and protects workers from the negative impacts of technological disruption.
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The Transformative Impact of Ai and Emerging Technologies
During CES 2026, Jason Calacanis introduces significant advancements in technology, indicating a transformative period dominated by AI.
The Unprecedented Pace of Technological Change and Innovation
The conversation at CES highlights a swift technological evolution, particularly in AI, that is incomparable to past decades.
Acceleration in Ai, Robotics, and Disruptive Tech Adoption Compared To Past Decades
Calacanis notes that the current pace of technological change around AI is noteworthy compared to previous decades, while Sternfels describes the pace of innovation as moving at "warp speed.” Sternfels contrasts this with slower change in the past, dubbing it a "DCAD type of thing" for its rapidity.
Hemant Taneja refers to current times as "peak ambiguity," with massive geopolitical changes accompanying the fast evolution of technology. Taneja observes a stark difference in capabilities between current technologies and those from just a few years prior. He speaks of the compression of time for value creation thanks to advancements such as self-writing code and fundamentally transformed distribution methods.
Ai's Potential to Dwarf Previous Tech Revolutions
Ai's Impact Will Surpass the Pc, Internet, Mobile, and Cloud Revolutions
Calacanis boldly asserts that AI's impact will overshadow all earlier tech revolutions, such as the PC, internet, mobile, and cloud computing. He relates this to his visit to Tesla's Optimus lab, led by Elon Musk, and suggests that Optimus, the humanoid robot, will become the most transformative tech product, surpassing even Tesla's automotive achievements. He believes that Large Language Models (LLMs) will empower devices like Optimus to understand and interact with the world, handling tasks that humans prefer not to perform.
Rethink and Adapt Business Strategies and Structures
...
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The Transformative Impact of Ai and Emerging Technologies
Additional Materials
Clarifications
- Jason Calacanis is a well-known entrepreneur, angel investor, and tech commentator. He has founded several startups and is recognized for his early investments in companies like Uber. Calacanis hosts popular podcasts and events focused on technology and startups. His opinions carry weight in the tech industry due to his extensive experience and influence.
- CES stands for Consumer Electronics Show, an annual global event where companies showcase the latest innovations in technology. It is a key platform for unveiling new products and trends that shape the future of tech industries. CES 2026 refers to the edition of this event held in the year 2026. Its relevance lies in highlighting cutting-edge advancements, such as AI, that influence business and consumer technology directions.
- "Peak ambiguity" refers to a period of maximum uncertainty and rapid change, where it is difficult to predict outcomes due to complex, shifting factors. Hemant Taneja uses it to describe the current era marked by fast technological advances and geopolitical shifts. This ambiguity challenges decision-making as traditional patterns no longer apply. It highlights the need for adaptability and resilience in business and strategy.
- Self-writing code refers to software that can generate or modify its own programming instructions automatically. It typically uses AI models, like Large Language Models, trained on vast amounts of code to produce new code based on user prompts or specific tasks. This process accelerates development by automating routine coding, debugging, and optimization. It enables faster creation and adaptation of software without requiring manual coding for every change.
- Tesla's Optimus is a humanoid robot designed to perform repetitive or dangerous tasks that humans prefer to avoid. It uses advanced AI, including Large Language Models, to understand and interact with its environment autonomously. The robot aims to assist in manufacturing, logistics, and potentially everyday activities. Its development reflects Tesla's push to integrate robotics with AI for broad practical applications.
- Large Language Models (LLMs) are advanced AI systems trained on vast amounts of text to understand and generate human-like language. They enable devices to interpret instructions, answer questions, and engage in conversations naturally. By processing language contextually, LLMs allow machines to perform complex tasks involving communication and decision-making. This capability makes devices like robots more interactive and useful in everyday environments.
- Venture capitalists (VCs) typically invest in startups, but acquiring large companies allows them to provide startups with immediate access to established customer bases and resources. This strategy accelerates growth by combining startup ...
Counterarguments
- While AI's impact is significant, it may not necessarily surpass the combined influence of the PC, internet, mobile, and cloud revolutions, as these technologies have laid the foundation for AI's development and integration into society.
- The assertion that the current pace of technological change is unprecedented may overlook the fact that each previous technological revolution was also considered groundbreaking in its own time.
- The term "peak ambiguity" suggests a level of uncertainty that may not be universally experienced or acknowledged, as some industries or regions might have a clearer vision of their technological trajectory.
- The idea that self-writing code and new distribution methods are compressing innovation cycles could be challenged by the argument that these advancements also introduce new complexities and challenges that may slow down practical implementation.
- The success of Tesla's Optimus humanoid robot as the most transformative tech product is speculative and depends on various factors, including market acceptance, regulatory approval, and real-world functionality.
- The belief that Large Language Models will enable devices to perform tasks humans prefer not to do may be too optimistic, as there are ethical, practical, and economic considerations that could limit or shape the deployment of such technologies.
- The notion that venture capitalists acquiring large companies is beneficial f ...
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The Changing Nature of Work and the Workforce
The discussion led by Taneja and Calacanis delves into the ways businesses and the workforce are transforming, with a focus on the impacts of AI and emerging technologies.
Time Compression to Build and Scale Disruptive Businesses
Scaling Companies With Ai and Emerging Technologies
Taneja speaks to the phenomenal speed at which companies can now scale due to AI and emerging technologies. He shares investment examples like Stripe's growth to a $100 billion company in about 12-13 years and Anthropic's significant valuation increase based on business growth. AI and technological adoption allow businesses to expand rapidly due to faster adoption rates.
Impact on Traditional Jobs and Career Paths
Risk of Automation and Displacement For Job Functions
The integration of AI in various sectors implies a direct risk of automation and displacement of traditional job functions. From healthcare to HR to call centers, there's evidence of jobs being fundamentally transformed by technology. For instance, the entry-level tasks in management consulting, such as analysis and report writing, can now be accomplished by AI, as McKinsey saved 1.5 million hours last year through shifting their work towards solving more complex problems.
Calacanis highlights the deployment of personalized agents capable of performing trusted job functions, while Taneja points to the necessity of AI teammates in every department. They discuss labor shortages in US manufacturing and how robotics could play a significant role in creating resilient supply chains to compete on cost. This suggests a future where the workforce might see a one-to-one ratio of humans to robots.
Workers' Need to Complement Ai and Robotics Skills
In the wake of the integration of AI into business operations, workers are required to complement AI and robotics rather than compete against them. Taneja suggests the need for human-AI teamwork, and the workforce is challenged to tackle more complex problems. Corporate America's preference for building automated agents over new employee recruitment indicates an imperative for the workforce to adapt and develop new skills to collaborate with AI.
Shifting Talent Landscape: Importance of Resilience and Adaptability
Challenge of Talent Acquisition and Retention in Rapi ...
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The Changing Nature of Work and the Workforce
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Clarifications
- Stripe is a leading fintech company that provides online payment processing, known for its rapid growth and innovation in digital commerce. Anthropic is an AI research company focused on developing safe and reliable artificial intelligence systems. Both companies exemplify how leveraging advanced technology and AI can accelerate business growth and valuation quickly. Their success stories highlight the transformative impact of AI and tech adoption on scaling modern businesses.
- Time compression in business means drastically shortening the time it takes to grow and scale a company. Advances in AI and technology speed up processes like product development, customer acquisition, and operational efficiency. This acceleration allows startups to reach milestones and market dominance much faster than before. Essentially, it condenses years of traditional growth into months or even weeks.
- In management consulting, AI can automate data collection, initial data analysis, and the generation of standard reports. It can quickly process large datasets to identify trends and insights that consultants would otherwise analyze manually. AI tools also assist in creating presentations and drafting routine documents. This automation allows consultants to focus on strategic thinking and complex problem-solving.
- Personalized AI agents are software programs tailored to an individual’s or company’s specific needs and preferences. They can handle routine tasks like scheduling, data analysis, or customer interactions with high accuracy and reliability. These agents gain trust by consistently performing tasks correctly and securely, often using advanced machine learning to improve over time. Their ability to automate trusted job functions helps free humans for more complex work.
- The one-to-one human-to-robot workforce ratio means that for every human worker, there is one robot working alongside them. This balance aims to combine human skills like problem-solving with robots' efficiency in repetitive or precise tasks. It helps maintain productivity while addressing labor shortages and reducing costs. Such integration creates a collaborative environment rather than replacing humans entirely.
- Human-AI teamwork refers to humans and AI systems working together, where AI handles repetitive or data-heavy tasks while humans focus on creativity, judgment, and complex decision-making. Workers complement AI by developing skills that AI cannot easily replicate, such as emotional intelligence, critical thinking, and strategic planning. They also manage, interpret, and improve AI outputs, ensuring technology aligns with human goals. This collaboration enhances productivity and innovation beyond what either can achieve alone.
- Corporate America prefers building automated agents because automation reduces long-term labor costs and increases efficiency. Automated systems can operate 24/7 without breaks, improving productivity. They also minimize human error and can quickly scale to meet demand. Additionally, automation helps address labor shortages and compliance challenges.
- Client-facing roles involve direct interaction with customers or clients, such as sales, support, or consulting. Non-client-facing roles focus on internal operations like administration, data processing, or back-office functions. Growth in client-facing roles is driven by the need for personalized service and relationship management, which AI cannot fully replicate. Non-client-facing roles often face automation because routine tasks can be efficiently handled by AI and technology.
- AI changes traditional HR practices like resume sorting by using algorithms to quickly scan and rank candidates based on keywords and qualifications. This reduces human bias and speeds u ...
Counterarguments
- While AI and emerging technologies can enable rapid scaling, they also require significant investment in infrastructure, talent, and data management, which can be a barrier for some companies.
- The faster adoption rates facilitated by AI might lead to market saturation and increased competition, which could harm long-term business sustainability.
- The risk of automation and displacement might be overstated for certain job functions that require a high degree of human touch, empathy, and complex decision-making.
- AI's ability to perform entry-level tasks could potentially lead to a lack of training opportunities for newcomers in industries, as entry-level jobs are traditional stepping stones for learning and growth.
- The idea of a one-to-one human-to-robot ratio in the workforce may not account for the nuanced ways in which AI and robotics will integrate into different industries and job functions.
- The imperative for workers to complement AI might overlook the socio-economic barriers that prevent some workers from accessing the necessary education and training.
- The preference for automated agents over new employee recruitment could exacerbate existing economic inequalities and lead to a workforce that is less diverse and less prepared for unexpected challenges.
- The shift in the talent landsca ...
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Strategies For Enterprises to Adapt To Technological Disruption
In a rapidly evolving technological landscape, Hemant Taneja and Bob Sternfels discuss how enterprises can navigate and embrace disruptive changes.
Enterprises Must Embrace AI and Emerging Tech
Integrate AI and Automation Across the Business
Sternfels underscores the urgency for businesses to integrate AI and automation into their operations to keep pace with accelerating technological advances. He notes that CEOs are actively seeking ways to increase organizational speed, suggesting that embracing AI and automation is key to achieving this goal.
Taneja echoes this sentiment, emphasizing that AI, particularly language models and cloud services, are becoming essential tools within the engineering departments of enterprises. The widespread uptake of these technologies has prompted a significant increase in IT spending, and enterprises are now using technology at scale rates previously unseen.
The speakers also emphasize the importance of integrating AI and other disruptive technologies throughout the entire business, not just selective departments. They highlight the transformation imperative that applies to various sectors within businesses.
Rethinking Organizational Structures and Processes for Faster Adaptation
To adapt swiftly to disruptive technologies, enterprises are adjusting their organizational structures, as McKinsey's shift towards a client-facing sector growth, while reducing the non-client-facing workforce, demonstrates. This new paradigm accommodates growth in client-facing roles and operational shrinkage using emerging tech within the same organization.
Taneja recommends that enterprises must prepare all departments for AI integration, signifying a strategic necessity to adopt AI and automate processes to keep up with technological advancements.
He also mentions the crucial role of physical AI in manufacturing within the US to compete with China's cost advantages. Calacanis projects that robotics will transform manufacturing, alongside human interactions. However, the current challenge is the lack of hardware capability that operates like an API infrastructure to speed up the diffusion of these models.
Balancing Efficiency and Effectiveness in Tech Adoption
The focus shift from strategy to organizational speed emphasizes the necessity for enterprises to reconsider their processes and structure ...
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Strategies For Enterprises to Adapt To Technological Disruption
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Counterarguments
- While integrating AI and automation is important, there is a risk of over-reliance on technology which could lead to vulnerabilities, such as security breaches or loss of critical human expertise.
- Emphasizing organizational speed might lead to rushed decisions and implementations, potentially compromising the quality and thoughtfulness of strategic initiatives.
- The essential role of AI in enterprise engineering departments might overshadow the importance of other departments, such as human resources or customer service, which also play critical roles in the success of a business.
- Increases in IT spending and technology usage at scale could lead to significant financial risks if not managed properly, especially for enterprises that may not have the same level of resources as larger corporations.
- The call for AI and disruptive technologies to be integrated throughout the entire organization may not consider the unique needs and capabilities of different departments, potentially leading to inefficient or inappropriate use of technology.
- The recommendation to adjust organizational structures and processes for swift adaptation may not account for the complexities and potential resistance to change within established enterprises.
- The focus on shifting workforce towards client-facing roles and reducing non-client-facing roles may not recognize the value that support staff and internal processes contribute to the overall health of an organization.
- The strategic necessity for all departments to prepare for AI integration may not take into account the varying levels of relevance and benefit that AI can provide to different areas of a business.
- The emphasis on physical AI and robotics in manufacturing to compete with China's cost advantages may not fully consider the potential social and economic impacts of automation on the workforce.
- The dilemma between CFOs' ca ...
Actionables
- You can enhance your adaptability to technology by setting aside time each week to learn about AI and automation trends. Dedicate an hour or two every weekend to explore online courses or articles on AI advancements, focusing on how they're applied across different industries. This habit will help you understand the broader impact of technology and prepare you for changes in any organizational role you might hold.
- Start a discussion group with friends or colleagues to brainstorm how AI could improve your daily tasks. Meet once a month to share ideas on how automation could streamline your workflows, even if it's as simple as using a new app to organize your schedule or automate bill payments. This collective thinking can lead to personal efficiency gains and a better grasp of AI's practical uses.
- Volunteer to participate in or lead a small project at work that involves a ...
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Rethinking Education and Career Development for the Future
The conversation with Jason Calacanis and Taneja explores the changing landscape of education and career development in the era of advancing technology.
Shift From Subject Mastery to Broader Cognitive Skills
Calacanis and Taneja recognize the importance of developing skills that AI cannot replicate, such as aspiration, judgment, and creativity. Calacanis emphasizes the need for the education system to help students cultivate these broader cognitive skills as AI and robotics become more capable of performing human tasks.
Developing Skills in Aspiration, Judgment, and Creativity to Complement AI
Calacanis notes that these capacities remain uniquely human and should be prioritized in educational curricula. Taneja further suggests that shifting focus from problem-solving to questioning creatively is essential in a world where technology can address many issues for us. They highlight the critical need for a transition in education and career development to skills that complement AI's capabilities.
Need For Lifelong, Fluid Learning and Skill Development
The speakers imply that continuous reskilling and upskilling are crucial as the pace of technological change accelerates and job requirements evolve with AI advances.
Skills' Half-Life Shortens: Continuous Reskilling and Upskilling Needed
No specific details were provided in the outline about the half-life of skills; however, Calacanis refers to research which indicates the decreasing return on investment in skills over the last 30 years, demonstrating the urgency for continuous learning. Taneja proposes a lifelong college model, advocating for continuous education to catch up with evolving technologies and workforce changes.
Imperative to Foster Workforce Resilience and Adaptability
The discussion underlines the importance of building resilience and adaptability to deal with AI's impact on the job market rapidly.
Helping Individua ...
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Rethinking Education and Career Development for the Future
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Counterarguments
- While broader cognitive skills are important, subject mastery should not be undervalued as it provides the foundational knowledge necessary for critical thinking and innovation.
- AI and technology may evolve to replicate or support human capacities in aspiration, judgment, and creativity, changing the skills that are considered uniquely human.
- Problem-solving remains a critical skill, even in an AI-driven world, as it enables individuals to navigate complex situations that AI may not be able to fully address.
- The concept of a lifelong college model may not be practical or accessible for everyone, and alternative forms of education and skill development, such as apprenticeships or on-the-job training, may be more effective for some individuals.
- The focus on continuous reskilling and upskilling could lead to burnout and stress, emphasizing the need for a balanced approach that includes rest and mental health considerations.
- The idea that the half-life of skills is decreasing may not apply uniformly across all industries or job roles, and some skills may retain their value longer than others.
- Emphasizing adaptability and resilience could inadvertently place the burden of adjusting to technological change solely on individuals, without addressing systemic issues or the role of employers and policymakers in facilitating these transitions.
- ...
Actionables
- You can enhance your creative questioning by starting a "Question of the Day" journal where you challenge yourself to come up with one complex question each day that doesn't have an easy answer. This practice encourages you to think beyond standard problem-solving and stimulates cognitive skills like judgment and creativity.
- Develop resilience by setting up a "Skill Swap" with friends or colleagues, where you teach each other skills from your respective fields or hobbies on a regular basis. This not only broadens your skill set but also gets you into the habit of continuous learning and adapting to new information.
- Create a personal "Tech Adaptability Plan" where you identify a piece of technolo ...
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