Page numbers refer to the print edition but are hyperlinked to the appropriate location in the e-book.
Page numbers in italics refer to figures or tables.
Air Force Junior ROTC, 137
American Federation of Teachers (AFT), 116, 118
Apollo 11 space mission, 31–32
Arizona State University (ASU), 171
Artificial Intelligence (AI), xxiv; “AI and Robots Could Threaten Your Career Within 5 Years,” 27; automation and, 63–64; for customers, 38–39; data and, 33, 77–78; disruption from, 16–17; expertise and, 47–48; history of, 148; human skills compared to, 21; information from, 40–41; innovation from, 37–43, 56–57; for insurance industry, xxv, 38–39; for investors, 42–43; machine learning and, 27, 45, 58, 146–47; Project Debater for, 33–34; for real-time analysis, 42; for students, 69–70; tools, 44; transformation with, 10, 15; for workforce, 77
Association of Community College Trustees (ACCT), 103
automation, xxiv, 35–37, 48, 177; AI and, 63–64; automated screening, 146; in financial services, xxvii; job loss from, 26; technology, 26–28, 45–47; transformation from, 31; of workers, 201–2, 202
Bethlehem Community College (BCC), 161
Bill & Melinda Gates Foundation, 166–67
Brynjolfsson, Erik, 18–19
business: call centers, 41–42; CEOs in, 10–11; The Challenge for Business and Society, 116; community colleges and, 102–3; culture of, 50; data and, 17; education and, 40; educators and, 99–104, 110–14, 123–25, 142; entrepreneurial ideas, 37; focus groups, 91–92; higher education and, 135; industry and, xxiv, 178–81; for insurance industry, 4–5; labor market for, 63; leaders, xxvi–xxvii, 25, 31, 43, 65, 104, 150–51, 167, 173; machine learning for, xxvi; philanthropy, 67; preparation for, 177; problem-solving for, 175–76; progress for, 181–82; quarterly earnings for, 150–51; responsibility in, 174; social responsibility of, 98; society and, 8, 12; technology for, xxv–xxvi; for training, 54–63, 81–82, 160–62; values for, 7; Villanova School of Business, 145–46; women in, 9, 181; workers and, 151–53. See also HarrisX survey
Business-Higher Education Forum (BHEF), 70
Capital Community College (CCC), 119–25
career intelligence, 86–87
Center for Youth Employment, 74–75
Challenge for Business and Society, The (Litow), 116
Chopra-McGowan, Anand, xxv
City University of New York (CUNY), 98–99
cognitive medical intake accelerator (CMIA), 39
Communist Manifesto, The (Engels/Marx), 27
Community Learning Understanding and Experience (CLUE), 75
competency-based education, 141–43
corporate re-skilling, 142
Daily Nebraskan (newspaper), 66
data, 10, 17–18, 52–53, 57–58, 61; AI and, 33, 77–78; analytics, 41, 130; Big Data, xxiv–xxv; in digital era, 39; science, 15–16, 21, 47, 78; technology and, 40; on training, 72
data science and analytics (DSA) skills, 70
digital era, xxiv–xxv, 10–11, 37–39, 131, 176; digital natives, 58; Guardian Life in, 20; innovation in, 45; skills for, 34–35, 79; transformation in, 19, 60, 175; working class in, 47–48
disruption, xxiv, 16–17, 45–47, 67, 173; digital, 37–38; for insurance industry, xxiii, 11, 56–57; technology, 10, 56, 108, 152; transformation from, 77–80
Dream Yard Prep School, 75
economics: of apprenticeships, 105; of automation, 47–48; of collaboration, 113; credentials and, 110; of debt, 9–10, 169; education and, 35, 81–82; of gig industry, 19–20; global, 67; of health insurance, 44; of higher education, 35–36, 169–73; for investors, 11; job growth, 175; of middle-class, 149; for policyholders, 5–6; of productivity, 93; of public education, 53, 119; quarterly earnings, 150–51; of technology, 32–33, 46; of training, 71; in U.S., 129, 154, 192–93; vocational skills and, 109; World Economic Forum, 62, 150
education: for adult learners, 55; business and, 40; competency-based, 141–43; continuous, 16; credentials in, 115; culture and, 14, 85–92; economics and, 35, 81–82; educators, 99–104, 110–14, 120, 123–25, 142; for financial literacy, 124; IBM in, 118; innovation in, 79; institutions of, 179; after layoffs, 35–36; leaders in, 31; in military, 137; Pearson for, 96–97; private-sector, 85; public, 53, 75–76, 115–16, 119; of radiologists, 36–37; skills and, 19, 47, 127–28; Strada Education Network, 50; training and, xxvii, 20, 49–51, 52, 63–65, 67, 83, 177–78; trends, 177; in U.S., 180–81; workforce and, xxvi; in workplace, 66–68, 95–99, 167–68. See also higher education
Educational Reimbursement Program (ERP), 171
Eisenhower, Dwight D., 124
eKentucky Advanced Manufacturing Institute, 131
emotional intelligence, 62
employment: at Airbnb, 157–58; automation and, xxiv; Center for Youth Employment, 74–75; change in, 193; confidence and, 80; creativity and, 61–62; credentials and, 128; in digital era, xxiv–xxv; employee attrition, 172; engagement in, 152; ethical standards in, 166; gender and, 29; at Guardian Life, 71, 155; in HarrisX survey, 193–96, 195; health insurance and, 15–16; hiring and, 176; innovation and, 43–44, 173; job applications, 77; job skills and, 187; labor market and, 191–92, 193–96, 195; recruiting, 12; résumés for, 129; risk in, 34–35; skills for, 18–19; at Starbucks, 171; as students, 66, 102; technology and, 26, 28–29, 34–37; training for, xxv–xxvi; transformation in, 25–31; in U.S., 26, 54–55
entrepreneurial ideas, 37
existing workforce, 51, 52
Fidelity Investments, 170, 172
Financial Independence to Reach Success and Transformation (FIRST), 122–23
flexible work options, 155
Frey, Carl Benedikt, 26–28
future of distribution, 41
“Future of Employment, The” (Frey/Osborne), 26
Future of Work in America report, 54–55
Germania Life Insurance Company of America, 3
Ghost Work (Gray/Suri), 19
Global Labor Resilience index, xxvi
government regulation, 202
Guardian Life, xix–xxiii, 6–9, 11, 20, 54; agency at, 94; CCC and, 119–25; employment at, 71, 155; financial literacy at, 102, 119–20; General Assembly and, 78–79, 81–82; hiring at, 175–76; innovation at, 90–91; IT at, 60; LDP at, 91–92; leaders at, 38–39, 182; mentorships at, 98–99; partnerships with, 121–23; philanthropy by, 99–100; predictive analytics for, 17; Shark Tank at, 37–40; transformation at, 12–13, 49–50, 175; Vestigo and, 42–43. See also HarrisX survey
HarrisX survey, 198, 204; business decision makers in, 187–90, 199–203, 201, 202; detailed findings in, 190–92, 191–92; employment in, 193–96, 195; on skills training, 196–97, 197–98; U.S. economy in, 192–93
Harvard Test of Inflected Acquisition, 143–44
Hidden Brain (podcast), 13
higher education: access to, 167; BHEF, 70; business and, 135; change in, 139–41; collaboration in, 103; community colleges, 98–103, 119–25, 137–38, 161; degrees from, 146; economics of, 35–36, 169–73; Higher Education Act, 54; psychology of, 143; skills from, 64–65; tuition for, 82–83; for workers, 169–73
Higher Education Act (HEA), 179–80
Historically Black Colleges and Universities (HBCUs), 180
Illinois Consortium for Advanced Technical Training (ICATT), 108–10, 114
Industrial Revolution, 154
industry: auto, 58; business and, xxiv, 178–81; change in, 63–64, 177–78; collaboration in, 58–59; energy, 44; gig, 19–20, 41, 176; investments by, 68, 177–78; obligations of, 151; philanthropy by, 50; real-time analysis for, 114; responsibility in, 165–66; training by, 69–70; transportation, 45–46; trends in, 61; turnover in, 149; in U.S., 150–51. See also insurance industry
innovation: from AI, 37–43, 56–57; benefits of, 78; in credentials, 141; in digital era, 45; in education, 79; employment and, 43–44, 173; at Guardian Life, 90–91; in health insurance, 55–56; human skills and, 33; by leaders, 86–87; operational, 40–41; from space exploration, 59–60; workers and, 89–90
institutional knowledge, 66
insurance industry: actuarial science for, 14–21; AI for, xxv, 38–39; business for, 4–5; disruption for, xxiii, 11, 56–57; ethical standards in, 6; flooding for, 156; fraud detection in, 61; history of, 3–4; immigration for, 6–7; investments by, 54; policyholders and, xxi; politics for, 166; public policy for, xxii; regulation for, 14; risk for, xix, xxvii; for society, 8–9; technology for, 57–58; transformation for, 3–8, 42–43; underwriters for, 40–41. See also specific topics
intelligent technology, 5
Jackie Robinson Foundation, 76
Knowledge Gap, The (Wexler), 51
leaders: at AT&T, 134–35; business, xxvi–xxvii, 25, 31, 43, 65, 104, 150–51, 167, 173; for change, 167–68; in education, 31; at Guardian Life, 38–39, 182; innovation by, 86–87; for mutuality, 160; training for, 91–92, 197, 197–98; women as, 10–11; workers and, 78
Leadership Development Program (LDP), 91–92
learning: adult learners, 50, 55, 111; CLUE, 75; collaboration and, 82–83; culture of, 87; deep, 33; development and, 90; experiential, 97–98, 103–4, 111, 124–25; initiatives, 84; machine, xxvi, 27, 37, 45, 58, 146–47; peer, 84–85; psychology of, 143–44; skills, 93; for society, 68–69; soft skills for, 97; about space exploration, 126–27; for workers, 80–81
Mechanical Turk (MTurk), 19
millennial generation, 11, 18, 58
mutual life insurance companies, xxiv, 6
National Defense Authorization Act, 181
National Institutes of Health (NIH), 17–18
National Science Foundation, 126–27
“New Year’s Resolution for Corporations, A” (Stoll), 166
Nietzsche, Friedrich, 158
operational innovation, 40–41
Palmisano, Samuel J., 115
partnerships: ethical standards in, 64; graduation rates with, 117; with Guardian Life, 121–23; open-source planning with, 115–18; with public education, 115–16; relationship-building in, 118–23; for students, 123–25; in workplace, 99–104, 114; WPI, 69–70
Pathways in Technology program (P-TECH), 115–18
Pearl Harbor attack, 9–10
Personal Advancement and Career Enhancement (P.A.C.E.), 71–72
personal lives, of workers, 155–57
predictive analytics, 17, 66
private-sector education, 85
professional training, 197, 197
psychology: of commuting, 190; hierarchy of needs, 153, 157; of higher education, 143; Köhler effect, 158–60; of learning, 143–44; of management, 74; of students, 180; of success, 88–92; of values, 174; of workers, 92–93
real-time analysis, 42, 114
Rebel Talent (Gino), 13–14
Rebooting AI (Marcus/Davis, E.), 33
ride-sharing services, 19, 43
Rockefeller Foundation, 181
science, 36–37, 66, 70, 126–27; actuarial, 14–21; data, 15–16, 21, 47, 78; STEM, 52, 52–53, 75, 111, 170. See also computer science
Second Machine Age, The (Brynjolfsson/McAfee), 18
“Seeking a Path to Trust” (Sorkin), 166
short-term credentials, 138–40
short-term skilling courses, 135
skills: accessibility as, 80–83; from apprenticeships, 104; blindness, 130–31; communication, 49; credentials and, 145; development, 31, 51, 87–89, 178; for digital era, 34–35, 79; DSA, 70; education and, 19, 47, 127–28; for employment, 18–19; gap, 108; hard, 195, 195; from higher education, 64–65; in hiring, 154–55, 200–201, 201; human, 21, 33; integration as, 83–85; interactive, 188; job, 187; knowledge as, 64; for labor market, 189; learning, 93; middle-skills, 129; passport, 132–33, 137–41; programming, 16; re-skilling, 78, 85–87, 108, 132, 142, 174, 181–82; of robots, 29–30; short-term skilling courses, 135; skill-building, 64; Skillful, 147; for society, 62–63; soft, 72, 97, 195, 195; for students, 67; technology, 12, 36, 49, 62–63, 72; training, 44–45, 196–97, 197–98; in U.S., 44; vocational, 96–97, 109; for workers, 151
social responsibility, 98
society, 8–9, 12, 31, 45, 116; learning for, 68–69; skills for, 62–63; Society for Human Resource Management, 70–71; Society of Actuaries, 15; technology for, 47–48
South Seattle College, 135
standardization, for hiring, 138
Step Ahead Loan Assistance Program, 170
stock insurance companies, 6
Strada Education Network, 50
Stroud, Regina Stanback, 101–2
Student Aid Improvement Act, 180
students: AI for, 69–70; apprenticeships for, 104–10; career awareness for, 75; debt for, 169, 171–72, 180; at Elon University, 97; employment as, 66, 102; experiential learning for, 124–25; financial literacy for, 120–21; internships for, 73–74; mindsets of, 144; partnerships for, 123–25; psychology of, 180; skills for, 67; stakeholders and, 105; workers and, 102–3; in workplace, 64
Targeted Universalism (Haas Institute), 53
technology: automation, 26–28, 45–47; blockchain, 137–38; for business, xxv–xxvi; computer science, 14–21; continuous education and, 16; data and, 40; of deep learning, 33; disruption, 10, 56, 108, 152; economics of, 32–33, 46; employment and, 26, 28–29, 34–37; financial, 42; for fraud detection, 61; for insurance industry, 57–58; intelligent, 5; IT, 12–13, 59–61, 78; machine learning, xxvi; P-TECH, 115–18; for repetitive tasks, 30; skills, 12, 36, 49, 62–63, 72; for society, 47–48; for space exploration, 31–32; The Technology Trap, 27; transformation and, 31–34, 45, 59, 148–49; for workforce, 55; at workplace, 157–58
training: business for, 54–63, 81–82, 160–62; credentials and, 96–97; data on, 72; economics of, 71; education and, xxvii, 20, 49–51, 52, 63–65, 67, 83, 177–78; for employment, xxv–xxvi; graduation rates and, 112–13; ICATT, 108–10, 114; by industry, 69–70; for leaders, 91–92, 197, 197–98; military and, 106–8; on-the-job, 68; professional, 197, 197; in public education, 75–76; skills, 44–45, 196–97, 197–98; in U.S., 105–6, 137; for workers, 53–54; workforce, 51, 52; workplace, 178, 196–97, 197–98
transformation: with AI, 10, 15; automation, 31; in digital era, 19, 60, 175; from disruption, 77–80; in employment, 25–31; expertise and, 37–43; at Guardian Life, 12–13, 49–50, 175; for insurance industry, 3–8, 42–43; in job sites, 43–46; from machine learning, 37; for management, 13; technology and, 31–34, 45, 59, 148–49; for U.S., 8–14. See also change
transportation industry, 45–46
United States (U.S.), xix–xx; adults in, 187–88, 192–93, 204; debt in, 169; economics in, 129, 154, 192–93; education in, 180–81; employment in, 26, 54–55; freelancing economy in, 199; GDP in, 48; GI Bill in, 107; graduation rates in, 110–11; Great Recession in, 9–10; HEA, 179–80; Higher Education Act in, 54; immigration in, 3; industry in, 150–51; millennial generation in, 11; National Defense Authorization Act in, 181; Pearl Harbor attack for, 9–10; policyholders in, 4; skills in, 44; Student Aid Improvement Act in, 180; training in, 105–6, 137; transformation for, 8–14; World Trade Center attacks for, 7–8
University of Southern California (USC), 159
Vetsteps Financial, 106–7
Villanova School of Business, 145–46
Whiteshield Partners, xxvi
“Will Robots Take Our Children’s Jobs?” (New York Times), 27
workers, 34–37; automation of, 201–2, 202; business and, 151–53; commuting for, 198; demographics of, 190–92, 191–92; in digital era, 176; disruption for, 67; emotional intelligence of, 62; at Google, 83–84; health insurance for, 152–53; higher education for, 169–73; hiring, 133; innovation and, 89–90; investments in, 53, 68–73; leaders and, 78; learning for, 80–81; needs of, 177; performance of, 157–58; personal lives of, 155–57; physical safety for, 157; productivity of, 72, 156; psychology of, 92–93; remote-work for, 155; skills for, 151; students and, 102–3; training for, 53–54; trust for, 165–68. See also employment
workforce: AI for, 77; development, 49–50, 80–85, 101; disruption for, 173; education and, xxvi; existing, 51, 52; financial services, 70; flexible work options, 155; technology for, 55; training of, 51, 52; WPI, 69–70
Workforce Partnership Initiative (WPI), 69–70
workplace, 64, 157–58; education in, 66–68, 95–99, 167–68; partnerships in, 99–104, 114; skills training in, 178, 196–97, 197–98
World Economic Forum, 62, 150
World Trade Center attacks, 7–8
“World Without Work, A” (Atlantic), 27
Years that Matter Most, The (Tough), 53