< Previousunique attributes and capabilities, and there are more emerging all the time. As we look across Horizon 1, 2, and 3 time lines the sub categories include the following, which means that we will from here on in always be”Chasing the Dragon” ... Horizon 1 • AI Agents • AI Chatbots • Artificial Narrow Intelligence • Constitutional AI • Generative AI • Machine Vision Horizon 2 • Analogue AI • Artificial General Intelligence • Embedded AI • Embodied AI • Evolutionary AI • Open Ended AI • Quantum AI • Swarm AI Horizon 3 • Artificial Super Intelligence • Biological and DNA Based AI • Liquid AI • Meta AI • Organic AI • Synthetic Biological Intelligence BEHAVIOURAL COMPUTING Both an ENABLER and FACILITATOR technology on the one hand Behavioural Computing can collect and generate input data, such as human Biometric, Biomarker, and Natural Language data, that can be fed into downstream automation technologies. But, in combination with especially AI and other interface technologies, it can also be used to automate outputs in new ways. NATURAL LANGUAGE PROCESSING (NLP) An ENABLER technology many people see Natural Language Processing (NLP), which is the ability of technologies such as AI to process and understand the nuances of human language, as a critical component in helping machines understand and therefore automate all manner of things. As a consequence, it could easily be argued that of all the technologies involved in the automation process this one is one of the most impactful and important of all. Notes: 140311institute.comROBOTS A FACILITATOR technology robots, in all of their increasingly varied forms, whether they’re biological, hybrid, or made of metal, whether they’re inanimate or living, generalised or specialised, giant or nano scale, take an input and then perform an output. Furthermore, it’s worth noting that for the purpose of our study this technology category does not include software robotic technologies such as AI or RPA so that we can clearly demarcate between them all. ROBOTIC PROCESS AUTOMATION (RPA) A FACILITATOR technology Robotic Process Automation (RPA) has been the primary go to technology used by organisations to automate different things for decades now. However, while it’s been a pretty dumb “If This Then That” kind of technology up until now moving forwards we can see how combining it with increasingly sophisticated AI technologies will help us create more complex and sophisticated automations. SIMULATION ENGINES A FACILITATOR technology Simulation Engines take an input and then, as the name suggests run simulations to analyse it, determine a course of action, and generate a required output. Enabled by different combinations of technologies, which include everything from AI through to Ultra High Definition Rendering Engines and more, not only can this technology be used to simulate digital processes and create Digital Twins of everything from the Earth and mega factories, to individual drug compounds and even digital twins of humans, but it is also an incredibly powerful training tool that, for example, has helped advance the robotics industry by literal decades. It is, therefore not a technology to be under estimated. SYNTHETIC BEINGS • Digital Humans • Virtual Beings An ENABLER and FACILITATOR technology this umbrella category of technologies can incorporate a variety of distinct individual technology categories including Digital Humans and Virtual Beings - which have their own capabilities and nuances - over time this category will play an increasingly important Notes: 141311institute.comrole in automation as, on the one hand synthetic beings are used as the primary interface to capture and generate data from the things they interact with in the worlds they interact with them, and then, through combinations of technology analyse that data and generate an appropriate automated output. Over time, however, as the different technologies that they rely on improve we will see technologies grow in capability and sophistication, as well in agency and autonomy. SMART CONTRACTS A FACILITATOR technology Smart Contracts, which are linked to the Blockchain and Web 3.0 technology categories - neither of which are strictly speaking automation technologies - are small software programs that take an input and then in most cases quite tactically generate an output. However, over time as we see them converge with other technologies such as AI I would expect their automation capabilities and levels of sophistication improve dramatically. Notes: 142311institute.comNotes: 143311institute.comAUTOMATED BY WHENAUTOMATION TECH HARD SKILLS CATEGORY AUTOMATION CHART PROJECTIONS FOR WHICH UMBRELLA HARD SKILL CATEGORIES WILL BE AUTOMATED, WHEN BY, AND BY WHICH INDIVIDUAL, CONVERGED, OR SYSTEM OF SYSTEM TECHNOLOGIES . Numbers correspond to the technologies listed above. The SQUARE with the BLACK DOT is also a GRAPH . Y Axis is the Automation Sophistication , Top is Highest. X Axis is Market Maturity , Right is Highest. CHART KEY AUTOMATION TECHNOLOGIES 1 . AI Agents 2 . AI Chatbots 3 . Artificial General Intelligence 4 . Artificial Narrow Intelligence 5 . Behavioural Computing 6 . Constitutional AI 7 . Digital Humans 8 . Generative AI 9 . NLP 10 . Open Ended AI 11 . RPA 12 . Robots 13 . Simulation Engines 14 . Smart Contracts Full Automation Medium Low 1 . 2 . 31 . 2 . 3 USER INTERFACES This section looks at the technologies used to automate skills categories. These are the primary individual technologies and the most significant converging technologies that will generate a huge multiplier effect, across a Horizon 1, 2, 3 timeline. Here we present three futures scenarios. Horizon 1, 2, 3 projections for when individual, converging, and System of Systems technologies will automate skills categories including the automation level, market maturity, and sophistication. When it comes to how people and machines interface with these automation technologies there lots of new UI technologies emerging. Explore them by clicking or scanning the QR Code. DOWNLOAD CODEX OF THE FUTURE SERIES EXPLORE THE TECH . TRENDS . & MORE CONVERGED TECHNOLOGIES H1 H2 H3 INDIVIDUAL TECHNOLOGIES H1 H2 H3 SYSTEM OF SYSTEMS H1 H2 H3 CONVERGED TECHNOLOGIES INDIVIDUAL TECHNOLOGIES 3 . 8 . 91 . 3 1. ANALYTICAL SKILLS 2. BUSINESS MANAGEMENT SKILLS 3. BUSINESS OPERATIONS SKILLS 4. CLINICAL & MEDICAL SKILLS 5. CREATIVE & DESIGN SKILLS 6. CORPORATE RESPONSIBILITY SKILLS 7. ENGINEERING SKILLS 8. ECONOMIC SKILLS 9. FINANCE SKILLS 10. GREEN SKILLS 11. INFORMATION TECHNOLOGY SKILLS 12. LEARNING & DEVELOPMENT SKILLS 13. LEGAL SKILLS 14. MANUFACTURING & PRODUCTION SKILLS 15. PHYSICAL SKILLS 16. R&D SKILLS 17. SALES SKILLS 18. SPECIALIST TRADE SKILLS HARD SKILL CATEGORIES 1 . 8 . 91 . 3 3 . 9 . 111 . 3 3 . 9 . 123 . 13 1 . 8 . 103 . 8 8 . 9 . 113 . 9 3 . 8 . 131 . 3 4 . 8 . 111 . 3 8 . 9 . 111 . 3 3 . 8 . 113 . 13 1 . 8 . 111 . 3 7 . 8 . 133 . 8 8 . 9 . 141 . 3 8 . 12 . 131 . 3 4 . 12 . 131 . 12 8 . 12 . 133 . 13 2 . 7 . 83 . 9 4 . 8 . 123 . 12CONVERGED TECHNOLOGIES H1 H2 H3 INDIVIDUAL TECHNOLOGIES H1 H2 H3 SYSTEM OF SYSTEMS H1 H2 H3 AUTOMATED BY WHEN CONVERGED TECHNOLOGIES INDIVIDUAL TECHNOLOGIES AUTOMATION TECH SOFT SKILLS CATEGORY AUTOMATION CHART PROJECTIONS FOR WHICH UMBRELLA SOFT SKILL CATEGORIES WILL BE AUTOMATED, WHEN BY, AND BY WHICH INDIVIDUAL, CONVERGED, OR SYSTEM OF SYSTEM TECHNOLOGIES . 2 . 4 . 112 . 4 1. ADAPTABILITY & RESILIENCE 2. COLLABORATION SKILLS 3. COMMUNICATION SKILLS 4. LEARNING APTITUDE & MINDSET 5. CREATIVE AND INNOVATIVE THINKING 6. CRITICAL THINKING & PROBLEM SOLVING 7. CULTURAL COMPETENCE 8. EMOTIONAL INTELLIGENCE 9. ENTREPRENEURIAL MINDSET 10. INTERDISCIPLINARY THINKING 11. INTERPERSONAL SKILLS 12. LEADERSHIP SKILLS 13. MORAL INTELLIGENCE & INTEGRITY 14. PROFESSIONALISM & WORK ETHIC 15. SELF-MANAGEMENT Numbers correspond to the technologies listed above. The SQUARE with the BLACK DOT is also a GRAPH . Y Axis is the Automation Sophistication , Top is Highest. X Axis is Market Maturity , Right is Highest. SOFT SKILL CATEGORIES CHART KEY AUTOMATION TECHNOLOGIES 1 . Affective Computing 2 . AI Agents 3 . AI Chatbots 4 . Artificial General Intelligence 5 . Artificial Narrow Intelligence 6 . Behavioural Computing 7 . Constitutional AI 8 . Digital Humans 9 . Generative AI 10 . NLP 11 . Open Ended AI 12 . Simulation Engines 13 . Virtual Beings Full Automation Medium Low 1 . 2 . 31 . 2 . 3 USER INTERFACES This section looks at the technologies used to automate skills categories. These are the primary individual technologies and the most significant converging technologies that will generate a huge multiplier effect, across a Horizon 1, 2, 3 timeline. Here we present three futures scenarios. Horizon 1, 2, 3 projections for when individual, converging, and System of Systems technologies will automate skills categories including the automation level, market maturity, and sophistication. When it comes to how people and machines interface with these automation technologies there lots of new UI technologies emerging. Explore them by clicking or scanning the QR Code. DOWNLOAD CODEX OF THE FUTURE SERIES 2 . 3 . 102 . 4 3 . 7 . 106 . 10 4 . 8 . 94 . 9 4 . 9 . 119 . 12 4 . 9 . 114 . 11 6 . 7 . 107 . 10 1 . 4 . 61 . 10 2 . 4 . 92 . 4 2 . 4 . 94 . 7 1 . 6 . 86 . 8 2 . 4 . 72 . 4 2 . 7 . 10 2 . 7 2 . 7 . 92 . 4 2 . 4 . 92 .4 EXPLORE THE TECH . TRENDS . & MOREHARD SKILL CATEGORIES These are the umbrella categories we identified through our research that adequately cover all business and society related hard skill activities. 1. Analytical Skills 2. Business Management Skills 3. Business Operations Skills 4. Clinical and Medical Skills 5. Corporate Responsibility Skills 6. Creative and Design Skills 7. Economic Skills 8. Engineering Skills 9. Finance Skills 10. Green Skills 11. Information Technology Skills 12. Learning and Development Skills 13. Legal Skills 14. Manufacturing and Production Skills 15. Physical Skills 16. R&D Skills 17. Sales Skills 18. Specialist Trade Skills PROJECTED LONG TERM HARD SKILLS AUTOMATION BY CATEGORY Based on primary and secondary research and taking into account the impact of future technology developments, including AI Agents, Artificial General Intelligence (AGI), AI Agents, and General Purpose Robotics, this is the 311 Institute’s optimistic baseline for the overall or generalised level of automation we can expect to see for the listed hard skill umbrella categories across the nominated timeline. Best used as a guide it is designed to show an estimated ‘direction of travel’ for automation. TODAY TIMELINE 2035 0% LEVEL OF AUTOMATION 100% 5 4 6 4 14 2 . 10 5. 8 . 13 . 17 1 . 12 . 16 7 . 18 3 . 15 9 11 2 . 10 6 . 7 . 13 . 17 1 . 8 . 12 . 16 18 3 . 15 9 11 . 14SOFT SKILL CATEGORIES These are the umbrella categories we identified through our research that adequately cover all business and society related soft skill activities. 1. Adaptability and Resilience 2. Collaboration Skills 3. Communication Skills 4. Learning Aptitude and Mindset 5. Creative and Innovative Thinking 6. Critical Thinking and Problem Solving 7. Cultural Competence 8. Emotional Intelligence 9. Entrepreneurial Mindset 10. Interdisciplinary Thinking 11. Interpersonal Skills 12. Leadership Skills 13. Moral Intelligence and Integrity 14. Professionalism and Work Ethic 15. Self-Management PROJECTED LONG TERM SOFT SKILLS AUTOMATION BY CATEGORY Based on primary and secondary research and taking into account the impact of future technology developments, including Affective Computing, Biometrics, AI Agents, and Artificial General Intelligence (AGI), this is the 311 Institute’s optimistic baseline for the overall or generalised level of automation we can expect to see for the listed soft skill umbrella categories across the nominated timeline. Best used as a guide it is designed to show an estimated ‘direction of travel’ for automation. TODAY TIMELINE 2035 0% LEVEL OF AUTOMATION 100% 13 5 . 7 . 9 . 13 1 . 10 . 12 8 4 . 11 . 14 2 . 15 6 3 9 7 5 10 1 . 12 8 4 . 14 11 15 . 2 6 3FORECASTING THE FUTURE By going through this exhaustive process it is ultimately our hope that you will have a method you can use to try to future proof yourself and your future career across whatever time horizon you care about. PUTTING EVERYTHING TOGETHER . B Y BREAKING everything down to the most granular level, whereby we’re able to individually assess the market value of a particular job and it’s overall likelihood of automation we have created a future proof system that individuals and organisations alike can use to predict future job outcomes. So all that remains now is to put all the individual pieces together in a way that’s easy to follow. As a consequence, and as you can see on the following pages with the examples we’ve provided, we’ve created the equivalent of a Job Card. Once we have established todays baseline for the role, such as the core skills required, the market factors, and the level of personal touch that is required to perform it adequately - all of which we visualise in Job Card - we can then use our futures knowledge - of business, markets, technology, and other sources of information - to evaluate how they may all change in the future across the Horizon 1, 2, and 3 timelines we care about. Which then, in turn, allows us to accurately map the evolution of quite literally any and every role in the world with high degrees of accuracy. 148311institute.comCASHIER EST. WAGE : $30,378 MARKET FACTORS The higher the Wage Score the more likely it is this is a highly paid job. 1. Certification Requirements 2 2. Confidentiality and Trust 5 3. Complexity 3 4. Cultural Expertise 4 5. Impact of Failure 3 6. Industry Profitability 4 7. Language Skills Requirement 3 8. Level of Experience 3 9. Level of Expertise 3 10. Level of Impact 2 11. Level of Responsibility 4 12. Level of Risk 3 13. Market Demand 7 14. Multi-Disciplinary Expertise 2 15. Output Quality 5 16. Specialised Knowledge 2 17. Specialised Skills 3 18. Talent Scarcity 4 WAGE SCORE 64 / 180 PERSONAL TOUCH LOW CASHIER : AUTOMATABILITY, JOB FULFILMENT, AND WAGES In this example we look at the job of a Cashier with an average salary of around $30,000 per annum and which has a low Wage Score of 64. Ten hard skills and ten soft skill competencies are listed with 01, 04, and 08 being the most important hard skills, and 12 and 14 being the most important soft skills. This role, with its low Personal Touch score, depending on the situation, and as we’ve seen with Amazon Go, can be fully automated wiping out the wage opportunity entirely, and also technology can be used to up skill workers faster as we have seen with Walmart which could depress wages as it increases the supply of potential candidates. 01. ACCURACY AND ATTENTION TO DETAIL 11. ADAPTABILITY 02. BAGGING TECHNIQUE 03. BASIC MATHS SKILLS 04. CASH HANDLING 05. CUSTOMER VERIFICATION 07. HANDLING RETURNS AND EXCHANGES 08. POS OPERATION 09. PRODUCT SCANNING 10 . RECEIPT HANDLING 12. COMMUNICATION 13 . CONFLICT RESOLUTION 14. CUSTOMER SERVICE 15 . DEPENDABILITY 17. PATIENCE 18. PROBLEM SOLVING 19. TEAMWORK 20. TIME MANAGEMENT 06. CURRENCY RECOGNITION16. MULTI-TASKING CHART KEY LOW - HIGH REQUIREMENT _ +Next >