
Why uncertainty may be today’s biggest investment opportunity
From AI and gold to the future of the US dollar, Allan Gray and Orbis argue that investors don’t need to predict the future to build resilient portfolios.

From AI and gold to the future of the US dollar, Allan Gray and Orbis argue that investors don’t need to predict the future to build resilient portfolios.

Fictitious references in South Africa’s withdrawn draft National AI Policy may have originated from a translated Chilean source document.

The brokerage says InsureBot assists with policy interpretation and comparisons, while accountability stays with authorised staff.

The company said its closing assets dipped by 2% at the end of March even as average AUM rose by 15% over the half-year.

Morningstar’s behavioural study shows reactions hinge on the use case and on how advisers explain, govern, and remain accountable for AI-assisted work.

Existing legislation can offer some protection against deepfakes and fraud, but enforcement challenges and outdated frameworks leave victims vulnerable.

A new report suggests the next phase of AI will not simply automate tasks but reshape employee roles and change what companies value in their workforce.

The bank says its AI-driven banking and fraud prevention systems have reduced fraud on flagged transactions by 85%.

Santam’s Fanus Coetzee says the real value of an intermediary is not at sale, but when a client needs clarity, reassurance, and help after a loss.

Global shocks may be getting harder to forecast, and the real task is constructing portfolios that can withstand a wider range of outcomes.

The insurtech says the new app is a step towards a future where AI assistants could help consumers to manage and automate parts of their insurance decisions.

A former Google X executive says humanity faces 12 to 15 turbulent years as AI disrupts jobs, economies, and power structures before ushering in an age of abundance.

As financial advice shifts beyond technical solutions, advisers are increasingly valued for their ability to guide clients through behaviour and life’s defining moments.

The failures of generative AI are concentrated in citation-heavy, consequence-heavy tasks where verification is essential.

Financial institutions must move beyond monitoring and focus on resilience, containment, and recovery under compressed timelines.

As AI-driven incidents increase, insurers face mounting pressure to replace implicit cover with explicit policies tailored to new technological risks.

Jennison’s Mark Baribeau outlines a three-phase AI cycle reshaping markets. Dispersion between the winners and losers will widen – and flexibility will be critical.