Behavioural Economics
Speakers who decode how humans truly make decisions — and why rational choice theory rarely holds
Uncertainty is now the steady state, and most leadership teams are still managing it as a temporary disruption. Composure, judgement and the willingness to commit are degrading under that load, and the cost shows up in slower decisions, narrower thinking and quiet disengagement. The question is no longer how to remove uncertainty from the operating environment, but how to make the people running the business measurably better at working inside it.
Most senior teams are good at making decisions in stable conditions and poor at making them under pressure. The instinct under stress is to protect the status quo, defer to the loudest voice, and confuse activity with progress. Leaders who can read the room, hold the discomfort, and move a group from talking about change to actually deciding are rare.
Most organisations have moved quickly on AI and far more slowly on what it means for their people. The technology has budgets and owners; the human side, which still drives innovation, performance, retention, and engagement, does not. As automation absorbs more of the work, that gap becomes the real constraint on how organisations grow.
Most products, messages and change initiatives fail not because the idea is wrong, but because it does not move through people. Buyers know they need word of mouth, persuasion that lands, and customers and employees who actually shift behaviour. What they lack is a tested model for which specific levers cause that to happen.
Engagement programmes keep failing because the people they target do not believe their own future is theirs to build. Internal mobility, retention, and discretionary effort stall when individuals have written themselves out of their own potential before any policy intervention reaches them. Confidence, money beliefs, and habit are the unaddressed substrate beneath most people strategies.
Most inclusion work in firms is built on good intentions and weak evidence. Leaders spend heavily on training, charters, and targets, then cannot show which actions moved hiring, promotion, or retention. The gap between stated commitment and measurable progression is where credibility, talent, and money quietly leak away.
Complex B2B deals stall because buyers cannot process the information they already have. More content, more stakeholders and more options make consensus harder, not easier, and conventional relationship selling has stopped clearing the path. The question for commercial leaders is what their sales and marketing function has to do differently when the constraint is no longer access to the buyer, but the buyer’s ability to decide.
Generative AI is being deployed faster than the governance, voting, and ownership systems around it can adapt. Boards now have to decide which AI systems get a seat at the decision table, who is accountable when those systems shape public opinion, and what legitimacy looks like when a model can speak with more authority than an executive. The hard question is no longer whether to use AI. It is how to keep human institutions credible while doing so.
Marketing budgets are under sharper scrutiny than at any point in a decade, and the old assumptions about how brands earn attention have stopped holding. AI has reset what creative, media and customer experience teams are expected to produce, and most organisations are still reasoning about it as a tool rather than a structural change to how brands compete. The commercial question is which parts of the marketing operation get rebuilt around AI, and which parts get protected because they still depend on human judgement.
Most B2B companies spend marketing budget on long-payback brand activity while their pipeline is starving. Programs that could close revenue inside a quarter, search, retargeting, account-based outreach, customer expansion, are run lightly or not at all. The tension is sequencing: growth-stage leaders need a defensible order of operations that funds the brand work the CFO wants from the demand work the sales team needs.
Short-term metrics now dominate marketing decisions. The channels easiest to measure – performance advertising, digital activation, last-click attribution – are typically the ones least effective at building pricing power and long-term profit. Organisations are optimising their way to brand decline while the data required to argue otherwise sits unused.
Most organisations overestimate risk in markets they do not understand and underestimate opportunity in ones they have already written off. The problem is not missing data – experienced leaders tend to hold shared, systematically incorrect assumptions about how the world has developed. When those assumptions go unexamined in strategy sessions, they shape investment, market entry, and risk decisions in ways that better analysis alone cannot fix.