Life long learning and the future of work
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Life long learning and the future of work JONATHAN WOETZEL June 2019 CONFIDENTIAL AND PROPRIETARY Any use of this material without specific permission of Rated #1 Think Tank 2016 (private sector category) by McKinsey & Company is strictly prohibited the Global Think Tank Index, University of Pennsylvania
History shows that technology has created large employment and sector shifts Large-scale sector employment declines have been countered by growth of other sectors that have absorbed workers Share of total employment by sector in the United States, 1850–2015 100 Trade (retail and wholesale) 90 Construction 80 Transportation Agriculture 70 Manufacturing Household work1 60 Mining Professional services 50 Utilities 40 Business and repair services Telecommunications 30 Health care 20 Entertainment Education 10 Government Financial services 0 1850 1900 50 2000 15 1 Increase from 1850 to 1860 in employment share of household work primarily due to changes in how unpaid labor (slavery) was tracked. NOTE: Numbers may not sum due to rounding. SOURCE: IPUMS USA 2017; US Bureau of Labor Statistics; Groningen Growth and Development Centre 10-Sector Database; Moody’s; IMPLAN; US Bureau of Labor Statistics; FRED; McKinsey Global Institute analysis McKinsey & Company 2
Technology drives the creation of many more jobs than it destroys over time, mainly outside the industry itself Example: Personal computers Total US jobs created and destroyed by personal computers (examples listed are not comprehensive) Thousand jobs Indirect Computer suppliers, 1970–2015 Managers 42 Semiconductor manufacturing occupations 31 Printed circuit assembly occupations 26 Typewriter indirect occupations -79 Direct Enabled Computer equipment manufacturing, 1970–2015 Computer software and service industries, 1970–2015 Assorted managers and administrators 31 151 Software developers (software and apps) 768 524 Computer software developers 27 Computer scientists 686 (in-industry equipment) 2,904 Managers 416 Computer scientists 18 Office machine manufacturers - Jobs created: Typewriter repair -32 (typewriters) 61 19,263 Utilizers Jobs destroyed: Computer-utilizing industries, 1980–2015 3,508 Customer service reps 3,205 Net jobs: Computer scientists 15,755 (not in computer industry) 1.873 ~10% of 2015 civilian labor force Stock and inventory clerks 1,517 Bookkeepers and auditing clerks -881 12,176 Secretaries -823 Typists -562 SOURCE: IPUMS; Moody’s; IMPLAN; US Bureau of Labor Statistics; FRED; McKinsey Global Institute analysis McKinsey & Company 3
Globally, up to 375 million workers may need to switch occupational categories Number of workers needing to move out of current occupational Additional from earliest adoption scenario categories to find work, 2016–30 (trendline scenario)1 Midpoint automation scenario Million (1 block = ~5 million) 2030 workforce (% transitioning) 17–64 16–54 75–375 11–27 3–12 United States Japan Germany Other advanced 166 million 59 million 37 million 195 million (up to 32%) (up to 46%) (up to 33%) (up to 33%) 12–102 10–72 3–38 1–7 Global China India Mexico Other developing 2,661 million 757 million 612 million 68 million 767 million (up to 14%) (up to 13%) (up to 6%) (up to 10%) (up to 9%) 1 Some occupational data projected into 2016 baseline from latest available 2014 data. SOURCE: U.S. Bureau of Labor Statistics; McKinsey Global Institute analysis McKinsey & Company 4
Potential shifts for activities, educational requirements, and wages Net growth in work will involve more application of expertise, interaction, and management: Germany example Total work hours by activity type, 2016–30 (Midpoint automation, step-up demand) Million Displaced hours Added hours Net change in hours Applying expertise 569 2,293 1,724 Interacting with stakeholders 756 1,658 902 Managing and developing people 152 977 824 Unpredictable physical activities 1,054 1,198 144 Processing data 2,678 1,411 1,267 Collecting data 3,413 1,906 1,507 Predictable physical 3,097 1,521 1,576 NOTE: Some occupational data projected into 2016 baseline from latest available 2014 data. SOURCE: ONET skill classification, US Bureau of Labor Statistics; McKinsey Global Institute analysis McKinsey & Company 5
Unless displaced workers are reemployed quickly, medium-term unemployment could rise US unemployment rate Baseline Reemployment within 1 year Low (25%) Range of Medium (50%) unemployment scenarios, mid- High (66%) point automation Full (100%) adoption 2000 2016 2030 SOURCE: McKinsey Global Institute analysis McKinsey & Company 6
A key element of a future skills framework is to create portable lifelong credentials that students can acquire from multiple different sources In-person or distance learning to address specific knowledge gaps Formal Structured courses offered by education accredited higher education institutions Learning taking place outside classroom and institutional Learning without setting (eg. online) curriculum or Lifelong certifications Courses may or may not be structured and credentials Knowledge and ideas Non- Informal can be accredited acquired through social formal education education and professional interactions (e.g. conferences) ▪ Certificates and diplomas Lifelong ▪ Digital badges (eg. Mozilla Open Badges) credentials ▪ Digital CV (eg. LinkedIn profile) ▪ Digital graph to create “skills profile” from different sources SOURCE: Press search, McKinsey analysis McKinsey & Company 7
The UNESCO strategy formulates internationally applicable standards and delivers initial approaches for actions Objectives ▪ Promotion of ability to think critically among individuals ▪ Ability to deal with changes in the economy and working world ▪ Improved resilience, in particular among young and old sections of the population ▪ Additional international objectives, such as lifelong learning on education for peace and human rights Activity 1 Policy areas ▪ Recommendation for holistic and inclusive state polices ▪ Institutionalization: Inter-ministerial forums, and stakeholder participation (recom- mendations ▪ Political ecosystem: clarification and information, evident nature to member 2 Governance states) ▪ Multi-stakeholder approach and mechanisms at all state levels (e.g., federal, state, and municipal) ▪ Principles Effectiveness, transparency, accountabilities, as well as democratic and participatory nature ▪ Flexibility via decentralization ▪ Piloting via "learning cities, towns, and villages" (model locations for lifelong learning) 3 Financing ▪ Shared responsibility between the state, private sector, and individuals ▪ Prioritiy given to base competencies, such as adult literacy ▪ Recommendat. for instruments: Individual Learning Accounts (ILAs), support (e.g., coupons, vouchers), and educat. leave 4 Participation, inclusion, and equality ▪ Creation of discrimination-free access, particularly for marginalized groups ▪ Institutional structures, such as municipal centers for lifelong learning ▪ High-quality informational and advisory-services offers 5 Quality ▪ Regular monitoring and evaluation (M&E) ▪ Offer spectrum: practical offers that address the needs of the employer; review of effectiveness and efficiency ▪ Learning ecosystem: modern pedagogy and IT, secure learning facilities ▪ Accreditation and certification SOURCE: UNESCO "Recommendation on Adult Learning and Education" (2015) McKinsey & Company 8
In Denmark, the entire educational system is oriented around lifelong learning The excellence of the Danish adult-education system Factors for excellence ▪ High overall levels of state Information ▪ Institutional offers for consultation: consultation in centers around funding for education and transpar- the country, e-guidance (telephone, SMS, e-mail, chat, Facebook) (3600 EUR per capita) ency for all citizens as well as dedicated research centers for lifelong learning ▪ High level of participation Learning ▪ National political strategy: "Lifelong Learning Strategy" since with regard to offers for 2006 ecosystem adult education in EU ▪ Structure of country-wide centers for lifelong learning since 2007: comparison: a continuous 30% participation rate in – Coordination of lifelong learning based on clear targets and benchmarks on behalf of the ministry of education Denmark among people aged 25-64 years – Advising for companies and individual persons – Providers must cooperate with the centers, in order to receive state funds, which are increased when political aims are ▪ High quality of the adult- surpassed education system according to OECD Access ▪ Cultural anchoring: Grundtvig developed the concept of lifelong comparison learning in Denmark in 1830 ▪ Broad-based access (incl. catching up on education) and an extensive offers ("basic skills" and "beyond basic skills") ▪ Flexibility: Courses are offered online, in the evening, and in blocks Monitoring ▪ Quality of formal education (incl. university): once well educated, one looks for further education ▪ Country-wide centers with a quality-assurance function SOURCE: Adult Education Survey (2016); OECD Skills Matter: Further Results from the Survey of Adult Skills, (2016); UNESCO Institute for Statistics (2016) McKinsey & Company 9
Furthermore, since 2015, Denmark has focused on on-the-job training – with success Continuing education programs specifically for low-skilled Success factors in Challenge individuals – examples: on- the-job training Low-skilled workers 1 “Upgrading skills through System governance often drop out of the employment” (all social partners, lifelong learning system ▪ Job center: Subsidies to meaning employers, ▪ Low-skilled workers employers for improving skills unions, and state) participate in continuing among employees education programs only ▪ Employer must offer continuing half as often as highly education programs that extend skilled workers beyond normal standards ▪ Since 2015, there has ▪ Program for the unemployed Evidence-based been a focus on the and individuals at risk for policy integration of low- joblessness (e.g., subsidies and skilled workers consultation/advising 2 “Adult apprenticeship scheme” ▪ At time of training, an adult aged have proven at least 25 years: Subsidized particularly salary payments effective) SOURCE: Danish Agency for Labour Market and Recruitment (STAR), EU “Education and Training Monitor 2017 Denmark”, (2018); McKinsey interviews with experts McKinsey & Company 10
Singapore launched initiatives to upskill its citizens and harmonize the skills framework 1 Enhanced internships 2 SKILLSFUTURE 3 Young talent programme Earn and Learn Programme opportunities to gain overseas 65% of about 290 market expertise and become polytechnic and ITE courses “globally ready” offer greater emphasis on Internships structured learning, experience 40 Total of Over 500 Polytechnic and ITE and mentorship in real work students received funding support to programs environments participate in overseas immersion programmes 4 SKILLSFUTURE 5 SKILLSFUTURE Mid-career enhanced subsidy Credit Upskilling >18,000 Up to 90% 9,000 About Over 69,000 Utilized by over SKILLSFUTURE subsidies courses Singaporeans 126,000 credit-approved Singaporeans courses available 6 Skills Framework Integral part of industry transformation maps which guide enterprises and Singaporeans on key growth areas and skills required for emerging jobs NEW Skills Early childhood care and education Accountancy Logistics framework 3 Hotel and accommodation services 7 Aerospace Retail Precision engineering Electronics Sea transport Framework Frameworks in launched the pipeline Food services McKinsey & Company 11
Skillsfuture provides a comprehensive plan of offerings across the lifelong learning learning cycle Your skills. Your Asset. Your Future EDUCATION AND CAREER SKILLSFUTURE EARN AND SKILLS-FOCUSED MODULAR SECTORAL MANPOWER PLANS GUIDANCE (ECG) LEARN PROGRAMME COURSES Developing pipeline of skilled workers. Counsellors to help students make well- Placement with structured on-the-job Wider range and scale of short skills- Progression and development informed decisions on education, and institution-based training to give focused modular courses relevant to framework to provide every worker with training and careers. fresh ITE and polytechnic graduates a industry needs. career pathways based on skills. career headstart in sectors. ENHANCE INTERNSHIP SKILLSFUTURE STUDY AWARDS SKILLSFUTURE LEADERSHIP Structured programmes and enhanced SKILLSFUTURE CREDIT Monetary awards to help individuals DEVELOPMENT INITIATIVE internships will better support career Learning credits for all Singaporeans develop and deepen their skills in growth Funding to support increased exploration and workplace learning aged 25 years and above to pay for clusters. collaboration with companies to course fees for work-skills-related develop and stretch high-potential YOUNG TALENT PROGRAMME courses supported by public agencies INCREASED COURSE SUBSIDIES talent. (YTP) All Singaporeans aged 40 years and More market immersion opportunities for above to receive a minimum of 90% SKILLSFUTURE MENTORS ITE, polytechnic and university students. course subsidy for MOE-funded and SMEs can access pool of mentors with WDA-supported courses. deep industry skills and experience to INDIVIDUAL LEARNING provide guidance in their SKILLSFUTURE FELLOWSHIPS implementation of skills deepening PORTFOLIO Cash sponsorship for individuals initiatives. An online, one-stop education. training with deep skills expertise and career guidance portal for every to achieve mastery in SKILLSFUTURE CREDIT Singaporean to plan their education, respective fields. Regular top-ups in learning credits for training and career path. all Singaporeans to support skills deepening. In school Starting work Growing your career Growing your In school Starting work career Students, parents & Individuals Employees Employers Government Education & Unions & Industry teachers training institutions Associations McKinsey & Company 12
Similar initiatives exist also at city level: NYC launched the NYC Tech Talent Pipeline in partnership with 150+ firms & 16 colleges 1 Population & Infrastructure 2 Size of Tech Labor market 3 Demand for Tech Talent Annually 8.4 million 125+ academic 31,000 companies residents institutions employ tech talent 291k jobs Situation Public school Estimated 30.4% $500 million growth in employment network with over public workforce system 1.1 million $30 billion between 2012-2022 students wages 4 Out of Reach Jobs 5 Training Inadequacy “Tech employers report a shortage in the number of qualified Companies report significant homegrown candidates for in-demand roles” number of candidates from NYC-based education and training institutions Challenge Only2% aren’t prepared with full range of skills needed to 7% NYC possess in-demand effectively compete with workers have skills employers candidates from other corners of the U.S. or across tech skills seek the world. 6 THE NYC TECH TALENT PIPELINE (TTP) Solution Identified five key competencies Building a network Facilitated Industry of over Define employment needs Review of Foundational Skills & Knowledge Develop training and education Technical Skills: Role-Specific solutions to meet the needs 150 Elucidate barriers to scale and 16 Technical Skills: Applied sustainability Experience & Exposure Companies NYC Colleges Professional Skills & Interests McKinsey & Company 13
Typical dos and don'ts can be derived from experiences in other countries (1/2 – "dos") Learning effect from Successful aspects Example "dos" Holistic CPA account system for all service types Central administration of service Transparent and facilitates an overview and helps ensure service with good usability for citizens easy to access lapses CPF continuing-education account accumulates Equal inclusion of all citizens, Independent of education/training time independent of employment independent of current life employment status status; account is retained until end of employment situation Improved financial planability for employee dismissals via "Abfertigung neu" (new severance Thinking about employers' Plannable for pay scheme) needs, in order to win over employers In cases where multiple months of educational leave employers as important are taken, employers can postpone up to 9months partners Simple application ILA with very high usage figures via low levels of Avoidance of complex application process regulation and simple application process systems for easier accessibility The MySkillsFuture Web site reaches 1.9 million Strong advertising and visits in 2017 (among 3.4 million 25-64-year-olds); consultation is at least as Advertising advertising campaign appeals directly to consumers important as the program itself with the slogan, "The most important update is you" SOURCE: "Personal employment account: Internationale Modelle und Erfahrungen (International Models and Experiences)," Institute of Labor Economics, (2017) McKinsey & Company 14
Typical dos and don'ts can be derived from experiences in other countries (2/2 – "don'ts") Learning effect from Points of criticism Example "don'ts" 150-400 hours across a lifespan are not adequate Thinking through exactly what Undersizing for balancing out critical capability deficits scope creates value High level of Many accounts that cannot be merged together Avoidance of complex systems complexity with a variety of components Little variety in Offers for continuing education are heavily Broad positioning of the offer for a offers segmented, bureaucratic and inflexible variety of needs Initiative not not carried by tariff partners or Thinking about employers' needs, Integration employers in order to win over employers as ecosystem important partners "Abfertigung neu" did not generate greater mobility Meas. of effects and readjustment Comparison of among workers, although this was the declared aim in the event that there is no objective and effect impact "Career development" created the "wrong" Thinking about citizens' intrinsic Wrong motivation motivation of saving for early retirement vs. a hiatus fears and motivations from work Optimized use via users with a high level of Strong promotion and Unwanted education, a lack of consultation for engaging consultation is at least as distribution effect weaker users important as the program itself ILA budget estimated at GBP 97 million (approx. 1/3) Safeguarding of system against Abuse misused (by dummy corporations among, other abuse things) SOURCE: "Persönliches Erwerbstätigenkonto: Internationale Modelle und Erfahrungen (Personal Employment Account: International Models and Experiences)," Institute of Labor Economics, (2017) McKinsey & Company 15
Life long learning and the future of work JONATHAN WOETZEL June 2019 CONFIDENTIAL AND PROPRIETARY Any use of this material without specific permission of Rated #1 Think Tank 2016 (private sector category) by McKinsey & Company is strictly prohibited the Global Think Tank Index, University of Pennsylvania
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