AI Threatens Millions of U.S. Jobs

Upon leaving her position as Commerce Secretary, Gina Raimondo began receiving calls from CEOs of major U.S. corporations.

These leaders conveyed profound worry regarding the potential for massive job losses due to the rapid advancements in AI and robotics, seeking Raimondo's guidance on navigating the impending workforce disruption.

Gina Raimondo warns that the worst-case scenario involves a failure to implement a national plan ensuring every American can secure a good job in the AI era, leading to rapid technological adoption without adequate workforce preparation.

This unchecked advancement could result in tens of millions of Americans losing their jobs or facing underemployment, potentially triggering a deep and prolonged economic recession.

Raimondo also expressed concerns about the possibility of widespread social unrest, exacerbated by existing economic inequality and a fragile democracy, making the current situation more volatile than in past technological shifts.

As Commerce Secretary, Gina Raimondo established America's AI Safety Institute, focusing on testing AI models for national security and cyber risks before their public release, and also managed chip export controls.

Her deep expertise in AI and chip technology from her government role has now transitioned to addressing the workforce gap, a critical aspect of AI deployment that she believes was less prioritized during earlier phases.

CEOs voiced concerns to Gina Raimondo about job displacement caused by AI and robotics, prompting her to establish RAISE US.

Leveraging her experience as a former governor and business leader, Raimondo founded RAISE US with the ambition for it to become the foremost organization in America for devising and implementing innovative solutions for career transitions in the AI era.

Wage insurance proposals complement the Arkansas initiative that links claimants to job navigation tools, reflecting a broader strategy to overhaul outdated workforce systems.

Raimondo advocates for proposals such as wage insurance, designed to mitigate salary reductions for older workers transitioning to new careers, and argues that the current unemployment and college-centric workforce systems are outdated and inefficient for the demands of the AI age.

The duration for reskilling workers for new roles varies significantly, ranging from a few months to several years, depending on the complexity of the target position.

AI is being deployed to conduct precise skills assessments for individual workers, identifying specific areas for development.

Subsequently, AI customizes training programs, delivering personalized instruction tailored to each worker's learning style to ensure they acquire the necessary skills.

Roles such as call center workers, billing staff, and claims assessors are identified as highly vulnerable to automation.

RAISE US is partnering with large corporations, particularly those with substantial call center operations, to proactively assess employee skills.

The initiative proposes innovative models where companies retrain a portion of their staff internally and provide paid leave for others, allowing them to participate in external training programs to transition to new careers.

This strategy involves implementing and testing granular, small-scale pilot programs to identify effective retraining and reabsorption methods that can be successfully scaled across different industries and workforces, directly addressing the displacement risks in sectors heavily impacted by AI.

RAISE US is currently building a coalition of 24-25 companies that prioritize long-term workforce innovation over a singular focus on short-term share price.

RAISE US is actively collaborating with a "coalition of the willing," which currently includes 24 to 25 companies, specifically targeting leaders prepared to experiment and innovate rather than those solely concerned with short-term share price fluctuations.

Call centers, billing, and healthcare coding represent high-risk, female-dominated professions where Gina Raimondo warns AI poses a disproportionate threat to employment.

Professions such as call center work, billing, and healthcare coding, predominantly held by women, are identified as high-risk, and RAISE US is proactively targeting industries like insurance, financial services, and telecommunications for retraining initiatives to mitigate this impact.

RAISE US proposes a one-year full-time retraining model for employees at high risk of job displacement, particularly targeting roles expected to be automated within the next 12 to 18 months.

The goal of this initiative is to enable workers to transition into new careers without experiencing any period of unemployment.

This proactive approach aims to minimize the economic and social disruptions associated with AI-driven job transformation.

While structural tax changes necessitate federal government action, current congressional gridlock has led Gina Raimondo to collaborate with a coalition of willing governors from both parties and creative CEOs.

This coalition aims to implement immediate, localized solutions and pilot programs that demonstrate the feasibility of new approaches to workforce adaptation, such as Maryland's year of service, Utah's tax incentives, and Pennsylvania's wage insurance pilot.

Raimondo stresses the crucial need for workers to be comfortable with rapid career changes, encouraging them to view change with excitement rather than fear.

She advocates for proactive engagement with technology, urging individuals to learn new skills rather than resisting AI, and encourages public advocacy to channel anxieties into constructive action for workforce development.

Economic incentives could encourage firms to redirect AI-driven cost savings toward retraining programs, which would help maintain job stability while evolving employee roles.

The objective is to foster job stability by evolving employee roles and emphasizing the development of uniquely human skills, recognizing that coding, once a prime skill, is now less critical for the next generation of workers.

To streamline her research on global unemployment insurance and job transition policies, Gina Raimondo generates initial drafts for memos and emails using artificial intelligence.

RAISE US, her organization, employs AI for predictive analysis to identify workers most vulnerable to displacement by AI, operating with distinct arms for data and policy research and for testing implementation strategies.

Driven by the concentration of women in hospitality and call centers, there is a significant fear that automation will widen existing gender gaps in the labor market.

Jobs in call centers and hospitality, where many such women are concentrated, face high automation risk, contrasting with stable, high-paying trade professions like plumbing and electrical work that are currently male-dominated and less susceptible to AI.

By 2030, Raimondo anticipates that integrated systems will allow states to assess the skills of laid-off workers and match them with local job opportunities immediately.

She notes that current barriers to this vision include the lack of clean and unified data across various systems, which hinders seamless integration and efficient deployment of such AI-driven workforce solutions.

The year 2030 is identified as a realistic timeline for achieving these integrated and highly responsive support systems for job displacement.

Gina Raimondo's "obsessively outcome-oriented" philosophy enables her to collaborate across political divides, engaging with individuals from all parties to achieve shared objectives.

She highlights her successful track record of working with Republicans during her tenure in the Biden administration, emphasizing the importance of setting aside personal ego to maintain focus on the substance of the mission and deliver tangible results.

Raimondo advocates for embracing the inherent chaos of busy professional and personal life, rejecting the societal pressure to achieve a perfect work-life balance.

Her life hack is to avoid self-criticism and the constant dwelling on what "should have" been done, asserting that accepting the unpredictable nature of demanding roles is crucial for sustained productivity and well-being.