Panel
I, Worker: Employment in the Age of Robots
- Demographic Trends: The workforce percentage of individuals aged 55 and older is projected to double in the next decade.
- Predictability of Work: Panelists agreed that while specific job outcomes cannot be predicted with certainty, the workforce must prepare for various scenarios involving automation and structural shifts.
- Historical Parallels: Anne-Marie Slaughter noted that the current digital revolution is comparable in scale to the Industrial Revolution, which historically sparked social upheaval (e.g., Marxism) despite eventual economic expansion.
- Automation Fallacies: Aaron Levy argued against the "labor lump fallacy," asserting that history shows automation creates more value and new job categories than it eliminates, particularly in unsaturated sectors like healthcare and education.
- Walmart's Strategic Pivot: Walmart has invested $2.7 billion in training, with 200 academies planned to train 225,000 mid-level managers; the retailer is shifting roles from cashiers to "hosts" and expanding online grocery services in 600 stores.
- Job Displacement Data: Retail sector job losses hit 60,000 in February and March, representing the worst string of losses since 2009, contradicting the narrative that new jobs are instantly created to replace lost ones.
- Labor Mobility Challenges: Panelists highlighted that displaced workers, particularly truck drivers and older employees, face significant barriers to transitioning to new roles due to a lack of relevant skills and geographical mismatches.
- Future Work Scenarios: A joint study by New America and Bloomberg Beta identified four potential future work scenarios based on variables of work volume (more/less) and structure (traditional jobs vs. fragmented tasks):
- "Rock, Paper, Scissors": Less work, fragmented tasks.
- "Jump Rope Economy": More work, fragmented tasks.
- "Go Economy": Traditional jobs with high organizational efficiency.
- "Pre-industrial Trades": A return to trade-based, localized work.
- Investment Landscape: Roy Bahat (Bloomberg Beta) predicts the next generation of technology companies will not be a distinct sector but will instead permeate every industry, with winners being either reinvented incumbents or agile new entrants.
- Skills Gap: LinkedIn data indicates significant geographical skills mismatches in major hubs like San Francisco, Austin, and Washington, D.C., where open jobs exceed the local available talent pool.
- Policy Gaps: Aaron Levy stated that U.S. government investment in AI R&D is approximately $1 billion annually, a figure deemed insufficient for a technology as transformative as the internet or mobile, and that policymakers remain five to ten years behind necessary strategic thinking.
- Care Economy Growth: The sector is expected to see massive expansion due to aging baby boomers and the "millennial care" phenomenon, covering elder care, childcare, coaching, and medical jobs that require high human interaction.
- Human Connection Premium: Panelists agreed that while technology can automate tasks, there is an enduring demand for human connection in care, education, and high-touch retail, as seen in the "handmade" premium and live event attendance.
- Technology's Role in Recruitment: LinkedIn reported increased recruitment efficiency due to its platform, leading to higher demand for top-tier recruiters rather than a reduction in recruiter numbers.
- Generational Disconnects: Survey data suggests a generational shift where the first generation of Americans statistically risks earning less than their parents, raising concerns about the "American Dream" for the next generation.
- Forward-Looking Consensus: Despite ideological differences, all panelists agreed that doing nothing to address automation and displacement will result in significant societal problems, necessitating coordinated action across government, education, and business sectors.
- Education Reform: There is a call to revolutionize higher education, moving away from traditional degrees toward continuous certification and badging to address rapid skill obsolescence.
- Universal Basic Income (UBI): Roy Bahat dismissed UBI as "Plan Z," suggesting that while it may be a necessary safety net, it is not a primary solution for creating the "plans A through Y" required for a functional economy.
- Emotional Intelligence as a Hedge: The panel emphasized that roles requiring empathy, negotiation, and emotional connection (e.g., coaching, therapy, elder care) are the most resistant to AI automation.