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Illustration comparing algorithms and chaotic systems: data scientists test predictive models against sudden shocks, visualising early-warning indicators, model uncertainty and adaptive strategies to strengthen forecasting and organisational resilience.

Algorithms vs. Chaos: Can Unexpected Shocks Be Predicted?

Algorithms and the Unpredictable Economy The debate over whether algorithms can anticipate disruptive shocks, financial crises,technological leaps, or geopolitical ruptures, has re-emerged. In recent years, economists and data scientists have begun to analyze chaos not as somethingfully predictable, but as something measurable through non-linear analytics. As the European Central Bank observed in its Economic Bulletin (2021): “Machine learning can complement traditional econometric techniques, particularlywhen modelling non linearities and structural breaks.” This insight reflects a new

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Illustration linking climate, health and the human lifespan: ageing populations, healthcare innovations, environmental impacts and sustainable policies working together to extend healthy life expectancy.

Longevity and Sustainability: Climate, Health, and the Human Lifespan

Climate as a Determinant of Longevity At the 2025 Global Longevity Forum, researchers emphasized that climate change is emergingas a major determinant of human lifespan.According to Dr. José Serres, “for every 1°C increase in global temperature, average lifeexpectancy falls by 0.44 years, roughly five months per person.” This finding reframes climate change not merely as an environmental challenge, but as alongevity crisis.Rising temperatures, air pollution, and food insecurity are accelerating age related decline andwidening health

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Illustration of a human and an AI acting as Co-Author: collaborators drafting a manuscript, reviewing edits and discussing attribution, transparency and ethical guidelines for shared authorship and accountability.

AI as Co-Author: Balancing Productivity with Accountability

The Consulting Lens on AI Co-Authorship As AI systems become more advanced, their presence in professional writing andknowledge generation is undeniable. From strategy reports to market analyses, AI is nolonger just an editing tool, it drafts, synthesizes, and even proposes frameworks. This raises a crucial question for the consulting world:When AI contributes meaningfully to a deliverable, how should firms recognize, regulate,and disclose its role? At TAMVER Consulting, we believe AI can be a partner in

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Illustration showing the Longevity Economy: healthcare innovators, ageing consumers, market graphs and product development labs highlighting how health-related industries drive economic growth and create new opportunities.

The Longevity Economy: Health as a Growth Driver

Health as an Economic Engine The 2025 TransVision Conference in Madrid made one message clear: longevity is no longerjust a biomedical pursuit, it is an economic imperative.As Lars Hartenstein, Director of the McKinsey Health Institute, emphasized, “If we extend notonly life expectancy but healthy life expectancy, Spain could see up to a 12% increase in GDPby 2040.” Madrid, currently the European city with the highest healthy life expectancy, maybecome a benchmark for urban longevity. This

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Illustration of analysts forecasting without relying on historical trends: scenario maps, forward-looking models and teams testing adaptive strategies to predict change when past patterns no longer apply.

A Future Without Trends: How to Forecast When History Stops Being Useful

When Historical Patterns Break Down Forecasting once relied on the idea that the future would echo the past. Econometric andAI models alike have been built upon decades of historical data, but assuming stability,continuity, and recurring cycles. Yet, the last few years have shown how quickly these assumptions can collapse. Pandemicshocks, climate disruptions, geopolitical realignments, and rapid technologicaltransformation have made historical patterns unreliable. We are entering what can be called a post-trend era, one where history

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Zero-Shot Models in Economics: A NewFrontier?

The Rise of Zero-Shot Modeling Artificial intelligence is reshaping economics. A key innovation is the zero-shot model, AI, thatcan solve tasks it was never trained on. For economists, this means faster forecasts, new waysto use data, and insights without custom-built models Why Zero-Shot Matters Speed and Scale: Economists usually build new models for each case. Zero-shot systemsadapt instantly, saving time and effort.Bridging Data Gaps: In regions with scarce data, zero-shot approaches provide useful insights.Merging Text

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