“I believe AI systems will play a much more significant role in shaping decisions, work and daily life not because of a speculative future breakthrough, but because algorithmic systems already curate, influence and in many cases dictate the conditions under which contemporary life operates. Navigation systems decide routes, recommender systems shape cultural consumption, communication platforms filter visibility and attention, workplace software triages labor and performance and automated decision systems increasingly influence hiring, credit, insurance, healthcare access and public services.
“The question is no longer whether AI will shape human agency, but how quickly its role will expand from assistive infrastructure into an organizing logic of social, economic and cognitive life. Based on more than 100 empirical and applied studies I have conducted across education, workforce development and organizational change, the near-term societal response to this expansion will be profoundly disruptive.
“My findings consistently align with broader national and international research: societies are currently split into roughly three groups.
- About 30% of people hold a generally positive view of AI and are actively attempting to adapt through experimentation, upskilling and reframing their professional identities.
- Another 30% are uncertain and ambivalent; their views are shaped less by direct experience and more by mediated narratives, particularly news coverage and social discourse that oscillates between hype and fear.
- The final 30% interpret AI as an existential threat, not only in terms of job displacement, but as a crisis of identity, purpose and social value, and they are actively refusing to engage in reskilling or adaptation.
Many workers will simply not have the financial runway to retrain while meeting basic living expenses. … Education sits at the center of this transformation and current models are insufficient. Educational systems must abandon rigid silos and the assumption that narrow specialization alone guarantees stability. Instead, curricula should prioritize curiosity, creative transfer, growth mindset and adaptability as core learning outcomes.
“This distribution matters because large-scale technological transitions do not unfold evenly. When adaptation is uneven, advantages compound for those who engage early while disadvantages accumulate for those who disengage. In the current context, AI fluency accelerates productivity, employability and bargaining power, while refusal or delay often results in rapid marginalization as entry-level and routine cognitive work is restructured or eliminated. Without deliberate intervention, this divergence will widen existing inequalities across class, region, age and educational background. In my assessment and increasingly in the data, the risk is not a smooth transition but a sharp social and economic dislocation within the next five years, approaching 2030.
“Critically, I do not believe market forces alone will absorb this shock. Without government intervention comparable in scale and intent to COVID-era responses, including temporary income support paired with accessible, large-scale upskilling and reskilling programs, widespread unemployment and economic contraction are likely outcomes.
“Many workers will simply not have the financial runway to retrain while meeting basic living expenses. Early indicators of this pattern are already visible in sectors experiencing automation-driven restructuring without parallel investment in human transition pathways. Economic depression in this sense would not necessarily appear as a single global collapse, but as cascading regional and sectoral downturns driven by reduced labor demand, diminished consumption and social instability.
“Resilience in this environment requires capacities that go far beyond technical training. Cognitively, individuals must develop systems thinking, statistical and epistemic literacy and metacognitive awareness to understand when and how to rely on automated systems without surrendering judgment.
“Emotionally, resilience depends on tolerance for ambiguity, identity flexibility and confidence in continuous learning rather than static expertise. Socially, resilience requires cross-disciplinary collaboration, strong mentoring networks and institutional structures that support collective adaptation rather than individual competition. Ethically, societies must cultivate norms and governance frameworks that prioritize transparency, accountability, privacy and recourse in automated decision-making.
“Education sits at the center of this transformation and current models are insufficient. Educational systems must abandon rigid silos and the assumption that narrow specialization alone guarantees stability. Instead, curricula should prioritize curiosity, creative transfer, growth mindset and adaptability as core learning outcomes. We are entering an age of generalists, not in the sense of superficial knowledge, but in the ability to integrate domain expertise with evolving tools, collaborate across disciplines and reconfigure skills as conditions change. This shift represents a philosophical reorientation of education away from content mastery toward lifelong capacity building.
The scale of disruption ahead is not predetermined by technology itself, but by the choices societies make now regarding support, education, governance and narrative framing. If resilience is treated as an individual burden, failure will be widespread. If resilience is treated as a collective project, grounded in human development and systems-level coordination, the transition can expand opportunity rather than foreclose it.
“At the societal level, fostering resilience will require a coordinated effort among governments, media and the entertainment industry to counter fear-driven narratives and to demonstrate credible, lived examples of positive adaptation. Media representations shape emotional readiness for change and persistent framing of AI as either salvation or apocalypse undermines productive engagement. Balanced narratives that acknowledge real risks while illustrating pathways for meaningful human contribution are essential to maintaining social cohesion during transition.
“New vulnerabilities will inevitably emerge alongside new capabilities. Hyper-personalized persuasion, synthetic identity fraud, biased automated screening and cognitive offloading that erodes critical skills all represent serious risks. Coping strategies must therefore be taught explicitly, including verification practices, slow-thinking checkpoints for high-stakes decisions, collaborative accountability structures and clearly defined human-in-the-loop roles that preserve responsibility rather than obscure it.
“In the end, AI-driven transformation is not a future possibility but a present condition. The scale of disruption ahead is not predetermined by technology itself, but by the choices societies make now regarding support, education, governance and narrative framing. If resilience is treated as an individual burden, failure will be widespread. If resilience is treated as a collective project, grounded in human development and systems-level coordination, the transition can expand opportunity rather than foreclose it.”
This essay was written in January 2026 in reply to the question: “AI systems are likely to begin to play a much more significant role in shaping our decisions, work and daily lives. How might individuals and societies embrace, resist and/or struggle with such transformative change? As opportunities and challenges arise due to the positive, neutral and negative ripple effects of digital change, what cognitive, emotional, social and ethical capacities must we cultivate to ensure effective resilience? What practices and resources will enable resilience? What actions must we take right now to reinforce human and systems resilience? What new vulnerabilities might arise and what new coping strategies are important to teach and nurture?” This and 200-plus additional essay responses are included in the 2026 report “Building a Human Resilience Infrastructure for the AI Age.”