Kurzweil explains that the next decade (2025–2035) will see as much progress as the previous century.

This “supersonic tsunami” of change will disrupt every asset class, from labor-based industries to healthcare and energy, as we move toward a world where biological and computational intelligence are indistinguishable

The host, James, breaks down how the convergence of AGI and robotics will force a “total operating system reboot” of capitalism.

This isn’t just a market cycle; it’s a predicted transition to a post-scarcity economy where the marginal cost of intelligence and labor approaches zero.

For an adviser, this represents the ultimate challenge to long-term wealth preservation strategies.

This video from the Future of Life Institute features a sharp, categorised critique of the current AI race, arguing that we are approaching a “civilizational problem” that could lead to human extinction.

The speaker identifies the systemic incentives driving the race and warns that current “safety” measures are woefully inadequate for the coming jump from AGI to ASI.

This segment captures the high-stakes, almost desperate urgency that has replaced the initial caution among AI founders.

For financial professionals, this provides context on the extreme motivations driving capital allocation and innovation in the tech sector, coupled with a rare look at the strategic and existential risks underpinning the largest market valuations today.

As an adviser, you are constantly managing risk and forecasting the future for your clients.

This interview challenges the standard linear projections often used in financial planning. Bostrom argues that we are not just seeing another industrial revolution, but a “telescoping of the future”—where centuries of economic and technological development could be compressed into a few short years.

Russell frames the AI “alignment problem” in terms that any wealth manager will recognise: the discrepancy between a stated objective and the actual desired outcome.

Just as a client might ask for “maximum returns” without understanding the associated volatility, AI might execute a command in a way that is technically correct but disastrous in practice. This conversation provides a framework for understanding the systemic risks inherent in the current AI race.

Professor Geoffrey Hinton, widely known as the “Godfather of AI” for his pioneering work on neural networks. In this segment, Hinton discusses the distinction between immediate, predictable AI risks (misuse by bad actors, job displacement) and the longer-term, more speculative existential risks (AI takeover).

This video offers a practical categorisation of AI risks that can be directly applied to client conversations, portfolio construction, and sector analysis. It moves beyond abstract fear to detail tangible threats to the current economic structure.