Rohit Talwar

Digital banks proved customers accept minimal human contact if the service works. AI pushes this toward dark banks with almost no staff. The strategic risk: losing human judgment precisely when customers need it most. #BusinessStrategy

What if the biggest risk in your bank is not fraud or regulation but the insights your organisation is structurally incapable of seeing? AI does not just process faster. It sees patterns humans cannot access. #NavigatingUncertainty

Pharma generates thousands of drug candidates and simulates them before any patient trial. AI makes the same approach possible for financial products - millions of combinations tested before one customer sees them. #StrategicForesight

Lemonade processes insurance claims in three seconds with no humans. Klarna's AI replaced 700 agents. The logical endpoint of AI in banking is an institution with almost no staff. Most leaders have not confronted that. #FutureLeadership

Mastercard's AI analyses 143 billion transactions annually to spot fraud patterns no human team could find. The biggest AI shift in finance is not automation - it is performing analysis humans never could. #AIandFutureOfWork #AILeadership

The WEF estimates 44% of workers' skills will be disrupted by 2028. Finland built a national AI literacy programme reaching a million people. Most nations have done nothing comparable. Reskilling is a strategic investment, not a training task. #HumanPotential

How do you build a workforce strategy when nobody knows what the workforce needs to look like in five years? The answer is not better prediction. It is structured experimentation and adaptive capacity. #AdaptiveLeadership #AIEra

What if firms deploying AI to cut jobs were also accountable for creating new ones? Total Employment Responsibility - never tested, increasingly relevant. If not this, then what? The status quo is not holding. #BusinessStrategy #AIStrategy

Everyone calls it a skills gap. More accurately it is an investment gap. Firms accelerate AI deployment while underinvesting in the reskilling their own workforce needs to adapt. The cost of delay is compounding. #FutureOfWork

In 2018 we identified five key uncertainties about AI and jobs. In 2026, none are resolved - yet Klarna cut 700 roles, IBM paused hiring, Goldman estimated 300m jobs at risk. Certainty is not strategy. Experimentation is. #NavigatingUncertainty

Years ago our research team flagged that AI design choices encode gender stereotypes at scale. Since then the EU AI Act introduced bias rules and OpenAI faced global backlash over a gendered voice. Foresight validated. #FutureTrends

The most revealing thing about AI is not what it can do - it is who it pretends to be. Consumer AI is coded feminine and compliant. Analytical AI carries masculine framing. Who builds AI determines what AI becomes. #StrategicForesight

OpenAI faced backlash when GPT-4o sounded like Scarlett Johansson. Amazon scrapped a biased hiring tool. Apple revised its voice defaults. How many more incidents before AI gender bias is treated as a governance risk? #AIStrategy

78% of AI professionals are men. Amazon's AI hiring tool taught itself to downgrade female candidates. Facial recognition fails disproportionately on women of colour. AI diversity is not an HR metric - it is a product quality issue. #AIEra

AI assistants are feminine - helpful, patient, compliant. AI that analyses and decides is masculine. This is not coincidence. It is design philosophy that industrialises gender stereotypes at scale. The EU AI Act now mandates bias checks. #AILeadership

Programmable digital currencies do not just change how money moves. They change how governments govern. When currency carries embedded conditions, monetary policy acquires a precision it has never had. #StrategicForesight #EmergingTech

What if the most profitable AI strategy in finance is also the most overlooked? When AI cuts the cost of serving underbanked populations to near zero, inclusion stops being charity and becomes the largest untapped market. #AIStrategy

Revolut has 45m customers and cutting-edge AI. It is still chasing a traditional banking licence. New entrants have every tech advantage - yet most are converging toward the system they aimed to displace. #FutureOfWork

Central banks were built for quarterly data and measured adjustments. AI operates in milliseconds. That mismatch is becoming a systemic vulnerability - and most business leaders are not paying attention. #FutureLeadership #AIEra

India's UPI processes billions of transactions monthly, connecting street vendors to digital finance. AI could extend this further - but only if institutions design for inclusion, not just extraction. #HumanPotential #AIEra