A Curiosity-Centric, Imagination-Centric, Design-Centric & Future-Centric Experience For The Summit Attendees

The Fast Future Blur Summit 2025, hosted at UCLA, represents a dynamic convergence of disciplines—spanning economics, business, technology, science, leadership, and work—designed to cultivate what we call “interconnected thinking.”

The summit traces its origins to the previous year’s event at UCI, rooted in a faculty-authored book that explores six intersections emerging from twelve distinct fields.

This year’s summit features a fast-paced agenda: two keynotes, three panels, and ten “power talks,” each intended to deliver multifaceted perspectives and encourage attendees to embrace multi-dimensional views of a rapidly evolving world. The summit fosters deep engagement—not just through expertise, but by bringing together people who are “brilliant human beings.”

The “blur” in the summit’s name points to the dissolution of boundaries between strategy, business, technology, science, work, and leadership. The summit introduces the concept of “perpetual skills,” skills that, unlike static trades, are dynamic and continuously evolving. The summit’s value proposition, then, is its encouragement of interdisciplinary, interconnected thinking as the most vital skill for the future.

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Ravin Jesuthasan, Senior Partner and Global Transformation Services Leader at Mercer, introduces his book The Skills-Powered Organization, arguing that in today’s “polycrisis” world — marked by interlinked disruptions like AI and geopolitical tension — companies must shift from rigid, hierarchical structures built for scale toward agile, networked ecosystems that connect skills directly to work. He illustrates this shift through the Siemens–Disney partnership, where cross-industry collaboration matched capabilities to enable innovative product marketing.

Jesuthasan outlines four principles for a “new work OS”: starting with the work itself by identifying critical tasks rather than fixed jobs; determining where AI and automation should substitute, augment, or transform work; selecting the optimal talent model — employee, gig, or partner — for each task; and building organizations designed for continual reinvention, allowing talent to flow fluidly as business needs evolve.

He supports this framework with data showing that roughly 80% of jobs will be affected by generative AI, with junior employees seeing the largest productivity gains, and that organizational redesign can unlock approximately 45% additional capacity. Case studies include Unilever’s talent marketplace, where shifting data scientists into flexible “flow” models drove a 600% productivity boost, and Standard Chartered Bank, which saved £50,000 per employee by reskilling workers from declining roles into emerging ones.

Jesuthasan identifies three core capabilities skills-powered organizations need: effective work design, continuous large-scale skill development, and rapid skill deployment — closing with a nod to Alvin Toffler’s assertion that the ultimate advantage lies in the ability to learn, unlearn, and relearn.

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Horsley addresses the growing risks technology poses to trust and authenticity, citing threats such as deepfakes and impersonation — including fraudulent Zoom calls — that complicate identity verification in both personal and professional contexts. Rather than pursuing work-life balance, he advocates for integration, describing his own approach to weaving life and work together, and calls on leaders to cultivate adaptable, integrated organizational cultures.

Drawing on his work at Fragomen WorkRight, which builds compliance solutions for employment verification, Horsley emphasizes the growing importance of trustworthy identity verification in hiring and regulatory compliance, such as I-9 processes, as organizations confront rising risks of fraud and misrepresentation. He envisions a future “identity wallet” ecosystem where verified personal and professional data can be securely stored and reused across both workforce and broader life needs. Throughout, Horsley underscores that resilient identity stems from internal anchors — values and mission — enabling authenticity and adaptability amid constant change.

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Robinson highlights emerging technologies — including in-car cameras and biofeedback systems from companies like Affectiva and Biopac — that monitor drivers’ emotional and physiological states, with the connected car data market projected to reach $800 billion by 2030 and smart city data expected to hit $15 billion within two years. She points to concrete applications already underway: hyper-targeted advertising based on GPS and behavioral data, usage-based insurance models built on streamed trip data, and auto patents enabling vehicles to respond to spoken driver intent. Aggregated mobility data, she notes, also shapes urban planning, retail placement, and transportation investment.

Robinson contrasts divergent global regulatory approaches — GDPR’s personal-data protections in Europe, patchwork state-level rules in the U.S., and China’s treatment of mobility data as a national security asset — before closing with a call for regenerative business models, responsible stewardship, and strong cybersecurity as AI becomes central to how we move.

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The panelists trace a shift in digital transformation’s definition — from automating existing processes to reimagining business models through intelligent automation and predictive systems. They emphasize that AI’s value depends on strong data architecture, governance, and enterprise platform integration, and that technology alone is insufficient: successful adoption requires upskilling, leadership commitment, and cultural change. Responsible governance — addressing bias, fairness, and explainability — must accompany the pace of innovation, while scaling AI from pilots to enterprise-wide deployment remains a persistent challenge best navigated through maturity models.

The panel highlights a common misconception that hiring a data science team resolves AI adoption, arguing instead that true transformation demands board-level strategic vision. They describe a broader paradigm shift from process-driven outcomes to outcome-driven processes, one that will challenge organizational design and leadership alike. Looking ahead, the panelists predict AI will become as ubiquitous as the internet, with the greatest barrier to progress being human resistance to change rather than the technology itself.

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He frames this transformation around four core tensions: the blurring boundary between workers and their tools as AI grows more capable; the shifting power balance between AI tool providers and the firms that depend on them; the divergence between businesses that internalize AI to dominate and those disrupted by modular, platform-based rivals; and the growing ability of empowered individuals to coordinate at scale, challenging entrenched incumbents.

Drawing on historical analogies — most notably the shipping container, whose real value lay not in automating shipping but in enabling global supply-chain coordination — Choudary illustrates how profound economic shifts occur when technology changes the rules of competition, not merely productivity. He cautions that a narrow “task-centric” view of automation versus augmentation misses this deeper reorganization: much as the word processor didn’t eliminate the typist’s task but rendered the role obsolete by changing its value, AI is poised to reshape why entire functions matter.

Choudary’s central message: harnessing AI’s power requires leaders to look beyond task automation and focus on system-wide shifts in coordination, competition, and business models across the knowledge economy.

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Since launching in Sonoma County, Watch Duty has grown to 17 million users and 6.5 million active devices, supported by over 30 paid staff and hundreds of volunteers across 22 states, with nationwide coverage on the horizon. The platform draws on diverse data sources — radio traffic, satellite imagery, AI-powered camera detection, and agency CAD feeds — to deliver real-time situational awareness, using AI and machine learning to augment its tools while relying on human validation to minimize false alerts. Though built initially for the public, its reliability has made it equally indispensable to first responders, who use it for evacuation zones, hazard mapping, and radio aggregation.

Russell highlights Watch Duty’s ethos as a free, ad-free service sustained by inclusive, apolitical volunteer collaboration, and notes ongoing challenges around fragmented county data formats and data verification. Looking ahead, the platform plans to expand into flooding, mudslides, rapid response planning, and after-action support — with a mission to become the definitive, unified source of trusted disaster intelligence for communities and responders alike.

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Harding points to early signals — such as Meta’s new display glasses — of a broader shift from smartphones to wearables as the primary interface for digital content over the next 5–10 years, drawing a parallel to the internet’s evolution from a niche 1990s activity to today’s ubiquitous, AI-powered connectivity. She forecasts three major shifts: AI operating as a “lean-back” background service that resolves everyday frustrations, frictionless workflows enabled by smart notifications, and a marked reduction in daily friction that leaves users more sensitive to minor inconveniences.

Warning against organizational complacency, Harding urges leaders to prepare for disruption on the scale of Netflix’s displacement of Blockbuster — prioritizing contextual data, genuine user impact, and rigorous research over experimentation for its own sake. She closes with a call for responsible, non-intrusive design that avoids immersive “overload.”

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Tracing the evolution of health systems, Kuraitis notes that gains from 1900–1950 came largely from public health advances in sanitation and infectious disease control, while 1950–2000 saw centralized, hospital-based care drive further increases in life expectancy. Today’s defining challenge, he argues, is chronic disease — with 76% of adults managing at least one condition and most seniors facing multiple. Systems built for acute care, he contends, are poorly suited to this reality.

Looking forward, Kuraitis calls for decentralized, longitudinal care in homes and communities, continuous data monitoring, payment models that reward prevention over volume, and AI-driven approaches to complex, multi-morbid patient needs. He champions disciplined, safe-to-fail experimentation over siloed “point solutions,” and closes with a personal reflection on his mother’s experience with Alzheimer’s — grounding his call for humility and imagination in the human stakes of chronic disease.

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The discussion opened with a diagnosis of the pressures reshaping HR today, including rising employee expectations, technological disruption from generative AI, and the demand for greater organizational agility. The panelists agreed that HR must shift from transaction-driven processes toward human-centered, value-generating capabilities.

A recurring theme was the move from rigid roles to dynamic skills — enabling internal mobility, continuous learning, and more fluid workforce deployment. Equally central was the responsible integration of AI and data, with the panel emphasizing that technology adoption must be paired with ethical governance, transparency, and human oversight, freeing HR to focus on higher-value work.

The speakers also called for a shift away from siloed operating models toward cross-functional, outcome-oriented teaming, and stressed that transformation must become an ongoing organizational capability rather than a one-time initiative — ultimately positioning HR as steward of both technology and human dignity.

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Evans surveys a range of applications extending well beyond crypto, including supply chain and provenance tracking, digital identity and credentialing, decentralized governance models, transparent public record keeping, and the tokenization of real-world assets. At the same time, he offers a grounded assessment of the obstacles standing in the way of mainstream adoption: persistent scalability limitations, the lack of interoperability standards across blockchain systems, regulatory frameworks that continue to lag behind innovation, and the ongoing challenge of designing incentive structures that keep participants honest.

Looking ahead, Evans envisions a future shaped by digital-native organizations, verifiable self-sovereign identity systems, public institutions reimagined around transparent and auditable ledgers, and stronger bridges between physical and digital value through asset tokenization. Ultimately, the talk positions blockchain not as a speculative asset class, but as foundational infrastructure for reengineering trust itself.

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Jessica Groopman, founder of Regentech and Senior Innovation Fellow at Intentional Futures, opened the panel with a question aimed at the audience as much as the industry: what is the relationship between technology and the systems it touches — the family, the business, the community, the planet? Drawing on a background that began in paleoarchaeology studying ancient stone tools before shifting to nearly two decades studying disruptive technology, she framed the panel’s subject as the blur between digital platforms and regeneration.

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Groopman grounded regeneration in biology before applying it to business: cells, forests, and grasslands are constantly renewing themselves, and regenerative design borrows from that pattern, echoing what many indigenous traditions have long described as interdependence. Yet much of business today is decoupled from the health of the whole — extracting from ecosystems, building in planned obsolescence, and optimizing narrow metrics while externalizing the resulting harm, contributing to climate change, biodiversity loss, and wealth inequality concentrated at the top. She distinguished this from sustainability, which she cast as reducing harm toward net zero, whereas regeneration aims for net positive — restoring more than it extracts, with a net-positive business profiting by solving the world’s problems rather than creating them.

Lynelle Cameron, Managing Partner of Regenerative California and a Regenerative Economics Fellow at the Capital Institute, offered a visual shorthand for the distinction: sustainability as a straight line trying to do less harm, circularity as a closed loop reducing waste, and regeneration as an upward spiral that replenishes and restores. Digital platforms, both speakers agreed, have created real value but have also accelerated harm — e-commerce fueling landfill waste, social media deepening polarization and youth mental-health strain, cloud platforms concentrating data and power asymmetrically between large platforms and small businesses. Their point was not to condemn the technology but to ask how it could be re-envisioned.

Groopman outlined three patterns from her research for applying digital platforms to regeneration. The first is access and localization, illustrated by FairBnB, a short-term rental marketplace that returns half its platform fees to local communities through a governance model of local hosts and residents. The second is coordination and collaboration — using platforms to build trust and transparency among otherwise disconnected stakeholders, in supply chains, circular economy initiatives, or crowdfunding. The third reimagines network effects: rather than a flywheel that concentrates value for a platform owner, regenerative network effects distribute value across many participants and communities. Plastic Bank, a blockchain-based fintech platform that converts ocean plastic into currency and recycled feedstock, exemplified all three — it began hyperlocally in Haiti, now operates in more than 55 localities, partners with brands like SC Johnson, and pays waste pickers in ways that also fund healthcare, food access, and education.

Cameron connected this to her fifteen years at Autodesk, a design platform used by architects, engineers, and manufacturers, arguing that embedding sustainability principles and better data into design tools carries outsized responsibility, since those tools shape what gets built for generations. She highlighted how real-time, globally distributed collaboration — replacing the old sequential handoff between architect and engineer — now allows better decisions about energy and material use during design itself.

Groopman closed with a systems metaphor: rather than the mechanistic flywheel typically used to describe platform growth, she proposed the ecological adaptive cycle — growth, conservation, disruption, and reorganization — as a model for how platforms can help businesses respond to supply chain shocks, ecological disruption, or geopolitical upheaval, and then restructure through experimentation, data, and machine learning before the cycle repeats.

In the Q&A, Cameron argued that decades of sustainability work have generated real progress in measurement and management but remain insufficient, requiring a cultural shift from minimizing harm to actively regenerating — such as designing buildings that contribute energy back to the grid rather than merely using less. Groopman added that sustainability efforts too often stay siloed around single issues like carbon or renewables rather than treating the whole business and stakeholder ecosystem as connected. Audience member Leonard Lay, a Paul Merage School of Business scholar with prior experience overseeing sustainability across a $12 billion apparel company’s factories in 60 economies, reinforced the systems point and urged framing sustainability as a competitive advantage, pointing attendees to MIT and Climate Interactive’s En-ROADS tool for modeling how the interconnected drivers of climate outcomes fit together.

Groopman grounded regeneration in biology before applying it to business: cells, forests, and grasslands are constantly renewing themselves, and regenerative design borrows from that pattern, echoing what many indigenous traditions have long described as interdependence. Yet much of business today is decoupled from the health of the whole — extracting from ecosystems, building in planned obsolescence, and optimizing narrow metrics while externalizing the resulting harm, contributing to climate change, biodiversity loss, and wealth inequality concentrated at the top. She distinguished this from sustainability, which she cast as reducing harm toward net zero, whereas regeneration aims for net positive — restoring more than it extracts, with a net-positive business profiting by solving the world’s problems rather than creating them.

Lynelle Cameron, Managing Partner of Regenerative California and a Regenerative Economics Fellow at the Capital Institute, offered a visual shorthand for the distinction: sustainability as a straight line trying to do less harm, circularity as a closed loop reducing waste, and regeneration as an upward spiral that replenishes and restores. Digital platforms, both speakers agreed, have created real value but have also accelerated harm — e-commerce fueling landfill waste, social media deepening polarization and youth mental-health strain, cloud platforms concentrating data and power asymmetrically between large platforms and small businesses. Their point was not to condemn the technology but to ask how it could be re-envisioned.

Groopman outlined three patterns from her research for applying digital platforms to regeneration. The first is access and localization, illustrated by FairBnB, a short-term rental marketplace that returns half its platform fees to local communities through a governance model of local hosts and residents. The second is coordination and collaboration — using platforms to build trust and transparency among otherwise disconnected stakeholders, in supply chains, circular economy initiatives, or crowdfunding. The third reimagines network effects: rather than a flywheel that concentrates value for a platform owner, regenerative network effects distribute value across many participants and communities. Plastic Bank, a blockchain-based fintech platform that converts ocean plastic into currency and recycled feedstock, exemplified all three — it began hyperlocally in Haiti, now operates in more than 55 localities, partners with brands like SC Johnson, and pays waste pickers in ways that also fund healthcare, food access, and education.

Cameron connected this to her fifteen years at Autodesk, a design platform used by architects, engineers, and manufacturers, arguing that embedding sustainability principles and better data into design tools carries outsized responsibility, since those tools shape what gets built for generations. She highlighted how real-time, globally distributed collaboration — replacing the old sequential handoff between architect and engineer — now allows better decisions about energy and material use during design itself.

Groopman closed with a systems metaphor: rather than the mechanistic flywheel typically used to describe platform growth, she proposed the ecological adaptive cycle — growth, conservation, disruption, and reorganization — as a model for how platforms can help businesses respond to supply chain shocks, ecological disruption, or geopolitical upheaval, and then restructure through experimentation, data, and machine learning before the cycle repeats.

In the Q&A, Cameron argued that decades of sustainability work have generated real progress in measurement and management but remain insufficient, requiring a cultural shift from minimizing harm to actively regenerating — such as designing buildings that contribute energy back to the grid rather than merely using less. Groopman added that sustainability efforts too often stay siloed around single issues like carbon or renewables rather than treating the whole business and stakeholder ecosystem as connected.

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He argues this mirrors what is happening across industries. Companies were traditionally vertically integrated because coordinating activities internally was cheaper than coordinating with outside players; the transaction costs of going external were too high. Digital technology collapsed those coordination costs, removing the structural rationale for keeping every function in-house. As a result, vertically integrated firms have been unbundling into specialized players that function like interchangeable Lego pieces — capable of plugging into contexts far removed from their original industry, such as an insurance-industry capability finding use in healthcare. The effect is a landscape where the boundary between competitor and collaborator has blurred, since that distinction now depends entirely on which capabilities are being combined and toward what end.

Value, he suggests, now accrues to whoever is best at rebundling these unbundled pieces into new combinations — shifting industry structure from vertical to horizontal. He traces this pattern to computing, where IBM’s vertically integrated model gave way to the horizontal structure dominated by Windows and Intel, and notes that the same shift has since played out in media, telecom, and financial services. His conclusion is that competitive advantage in this environment depends on the ability to innovate at intersections — treating APIs and third-party capabilities as components to be mashed up rather than treating industry lines as fixed, since the edge increasingly belongs to whoever spots a recombination no one else has tried.

Dr. Effie Palarinou and Dean Ian Williamson made the case that the disorienting pace of change in business today isn’t a threat to manage but a frontier to claim — and that claiming it requires leadership nobody was trained for.

Palarinou opened by reframing the “polycrisis” language favored by bodies like the World Economic Forum. Rather than cataloguing risks, her new book, The Fast Future Blur, examines the blurring boundaries between advanced technology and socioeconomic and environmental trends: digital platforms merging with regenerative-economy principles, AI infusing every function of a business to create genuinely “AI-native” companies, AI reshaping healthcare, blockchain decentralizing the future of work, and mobility merging with the metaverse to redefine what a smart city feels like to live in. Her argument was that these blurs look chaotic only from the outside; up close, they’re launch pads for anyone willing to grasp an opportunity before it becomes obvious to everyone else.

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Williamson picked up that thread and grounded it in his own field, talent management, arguing that the strain showing up across workplaces — stagnant productivity despite heavy tech investment, falling engagement, rising voluntary turnover, growing interest in unionization, and a documented mental-health toll — isn’t a talent crisis but a leadership crisis. The underlying cause, he said, is that most management practice was built for a manufacturing economy: standardize the process, plug in a worker, repeat it identically every time. That logic rewarded firm-specific skills, which had the side effect of making employees hard to poach. But most economies today run on services, where the entire point is a customized, not standardized, experience — which means the traits employers now need are creativity, empathy, and discretion. Those skills are inherently portable, so the very qualities that make someone good at the work also make them easy to leave. Layer onto that an aging, four-generation workforce with sharply different expectations, and the old playbook simply stops working.

His prescription for leaders was threefold: replace a cost-cutting “expense” mindset with an “asset” mindset that invests in getting more value from people; build workplaces around trust and flexibility rather than uniform policy, since no single perk fits an 18-year-old and an 85-year-old alike; and get comfortable leading across in-person, remote, and recorded formats at once. In the Q&A, both speakers converged on the same closing point: disruption isn’t inherently good or bad — skill determines the outcome — and young employees looking to shift how they’re led should pair stating what they want with showing how it serves the collective goal, since that’s what earns trust.