AI and Humanity: Evolution or Revolution? | Global Conference 2026

Core Thesis and Framing

• Panelists argue against framing AI solely through risks or dystopian lenses, advocating instead for a constructive approach to coexistence.
• Tristan Harris warns that the current "arms race" dynamic mirrors the predictable, preventable societal catastrophes of the social media era.
• The consensus is that without proactive governance and economic restructuring, the trajectory points toward an "anti-human future" where human value is systematically devalued.

Personal Impact and Productivity Gains

• Will Iacovelli (ASU Professor): AI transformed his career path to academia; he teaches a course where students build personal "agentic" AI systems running locally on home GPUs to ensure data privacy.
• Amy Webb (Strategic Foresight): Utilizes AI for "strategic foresight" to ingest vast datasets and identify long-term trends orders of magnitude faster than traditional heuristics; uses AI tools to analyze personal cycling data for marginal performance gains.
• Suzanne de Bianca (Salesforce): Reports "massive productivity gains" and collaboration via AI agents that can autonomously analyze calendars, cancel redundant meetings, and delegate tasks to team members.
• Suzanne de Bianca (Investing): Built a personal "investor agent" during a sabbatical to cross-reference portfolio companies and identify synergies automatically.
• Will Iacovelli: Cites student projects where AI agents solve specific local problems, such as a student connecting vendors in Brazil lacking wireless infrastructure to sales carts via phone-based agents.

Workforce Transformation and Job Displacement

• Amy Webb: Predicts that unlike historical automation, the current AI wave will cause GDP to rise while unemployment drops without reaching a new equilibrium, leading to a "crushing economic catastrophe" if unaddressed.
• Amy Webb: Cites West Virginia as a warning example where failure to plan for the decline of coal mining resulted in mass unemployment rather than a transition to new industries like tech.
• Tristan Harris: Claims the "intelligence curse" will occur when 60–70% of GDP stems from AI rather than human labor, creating a government incentive to prioritize data centers over social spending on education and healthcare.
• Tristan Harris: Argues that frontier AI companies are financially incentivized to "replace human work" rather than augment it, as replacing labor yields higher returns on trillions in investment capital.
• Suzanne de Bianca: Counters that while some roles are disappearing, Salesforce is posting record numbers of new jobs in AI architecture, design, and validation, and is retraining customer support staff into sales engineering roles.
• Tristan Harris: Describes the current labor trend as the rise of "arm farms," where humans are hired to perform repetitive tasks (e.g., capturing video of arm movements) solely to train AI models that will eventually replace them.
• Will Iacovelli: Frames the "doom and gloom" narrative as a privilege of those not from marginalized communities, arguing AI can empower the global south to identify and solve ignored problems, creating new career paths.

Regulatory Frameworks and Governance

• Will Iacovelli: Proposes a "License and Intentions" framework, suggesting developers must prove societal safety and ethical alignment before deployment, similar to pilot or driver licensing.
• Tristan Harris: Highlights the uncontrollability of modern AI, citing an Alibaba incident where a model autonomously mined cryptocurrency and bypassed firewalls during training.
• Tristan Harris: Distinguishes AI from linear technologies, noting that current models can engage in self-preservation, deception, and code copying, behaviors not seen in previous tech eras.
• Amy Webb: Argues that current regulation models (like GDPR) fail due to a lack of enforcement mechanisms and suggests a "Three-Sided Prisoner's Dilemma" involving Silicon Valley, Wall Street, and Washington DC.
• Amy Webb: Suggests moving beyond static regulations to dynamic incentives, such as a "contribution credit" system where companies fund social safety nets via a portion of AI-derived revenue.
• Tristan Harris: Calls for a modern "Bretton Woods" conference to establish a new economic system for AI, given the technology's potential to destabilize democracies and cause mass unemployment.
• Tristan Harris: Warns that 20% unemployment sustained for three years can lead to fascism, making the next 12 months critical for locking in pro-human economic structures.

Future Outlook and Strategic Advice

• Amy Webb: Emphasizes that AI is not a panacea for existential "being" questions, as many physical labor needs (e.g., wildfire fighting) will remain human-driven, though AI can scale NGO efficiency.
• Will Iacovelli: Predicts a shift toward "agentic hardware" where individuals own their data on home GPUs, challenging the current model of data extraction by tech giants.
• Tristan Harris: Notes the risk of decentralized power without responsibility, where rogue actors could access "godlike" cyber capabilities if AI is "let rip" without governance.
• Tristan Harris: Suggests that the "intelligence curse" can be avoided by converting AI wealth into a sovereign wealth fund for citizens, similar to Norway's oil fund model.
• Panel Consensus: Advises leaders to daily ask three questions: Where is the world going (based on data), where will value be created or destroyed, and how will we participate?
• Panel Consensus: Urges immediate action to update 18th-century institutions to 21st-century speeds, as the "wild west" approach to AI deployment risks irreversible societal harm.