Pressure Points: Edition 6
Welcome to Pressure Points
Pressure Points is an executive briefing by Foresight Factory that unlocks the strategic implications hidden inside today’s headlines.
In our sixth edition we explore topics like:
- Is workplace flexibility weakening your future leadership pipeline?
- Will shrinking insurance coverage determine where your business can operate and grow?
- Could political fragmentation redirect investment, talent and demand?
- Are today’s AI gains quietly creating tomorrow’s capability gaps and compliance costs?
Key takeaways
- Hybrid work is becoming a leadership pipeline risk. Remote-work exposure is a stronger predictor of declining junior hiring than AI exposure. Organizations prioritizing flexibility may be weakening the pipeline that produces future managers, specialists and leaders.
- Insurability could determine where growth remains viable. Only 38% of the $450 billion in annual economic losses from natural catastrophes is insured globally. As more losses move onto corporate balance sheets, insurability will increasingly influence where companies operate, what they produce and whether expansion can be financed.
- Political fragmentation belongs in mainstream business planning. The AfD won 44% of the vote in Saxony-Anhalt, Germany, prompting warnings that political polarization could deter foreign investors and skilled workers. Political movements that challenge established norms now need to be factored into long-term growth decisions.
- AI efficiency is creating liabilities that conventional metrics miss. AI-related activity helped drive the UK’s 0.4% GDP growth in July. But these visible gains may be hiding liabilities by weakening internal capability and increasing exposure to future compliance costs.
Hybrid work could dry up your future leadership pipeline
What happened
The dire employment prospects of graduates in the face of AI has been in the news again recently. However, research highlighted by the Financial Times shows that remote-work exposure is a stronger predictor of declining junior hiring than AI exposure. One reason is that entry-level workers require significantly more supervision and training than experienced hires, making them more time-consuming and costly to manage in remote setups – and therefore less appealing to hire. After controlling for remote work, the apparent link between AI and weak entry-level recruitment largely disappears.
Separately, former England football manager Gareth Southgate has said that WFH is particularly damaging for younger employees because it reduces access to mentors, support networks and informal learning opportunities. He cited concerns that remote work makes it harder for young people to develop professionally and enter the workforce successfully.
Our POV
Most executives are treating the return-to-office debate as a productivity question, but it is increasingly a question of talent supply. Early career employees acquire judgment, tacit knowledge and social capital on the job through physical observation and coaching – capabilities that are essential for future leaders, and difficult to replicate through digital workflows.
Organizations prioritizing remote flexibility or short-term efficiency may be weakening the pipeline that produces future leaders. This could become one of the most consequential effects of post-pandemic working models. If fewer firms invest in developing staff, experienced talent becomes scarcer. The brands that win will be those that manufacture talent internally, building long-term capability as a priority.
Strategic considerations
Stop thinking about hybrid work as a productivity problem. And start redesigning it around apprenticeship. Hybrid work is here to stay, but its metrics of success need to change. Consider measuring coaching time, promotion velocity and early-career retention. And refocus in-person time around building capability rather than specific tasks.
Insurers are redrawing the map of viable growth
What happened
Much has been said about how climate disasters are making parts of the world uninsurable – and new data from insurance analytics company Verisk highlights just how big the protection gap is. Their 2026 Global Modeled Catastrophe Losses Report estimates that, at a global level, only 38% of the $450 billion in economic losses from natural catastrophes is insured. In Europe, the gap is even wider. Global insured catastrophe losses are expected to average $171 billion annually, up $19 billion from last year, as property exposure, reconstruction costs and development in high-risk areas continue to grow.
Our POV
As insurers cut limits, narrow terms or withdraw from exposed markets, companies are being pushed toward greater risk retention, meaning they are carrying losses and volatility on their own balance sheets. As a result, they’re increasingly forced to consider whether a facility, product, supply route or entire business model can remain viable without insurance. For example, winemakers in France are moving production to the north as traditional regions like Bordeaux face more extreme heat. As climate risk intensifies and insurance providers narrow their coverage, similar decisions may become more common across industries.
In the near- to mid-term future, insurability will have more of an influence on where companies operate, what they produce and whether lenders will finance expansion, particularly in capital-intensive or catastrophe-exposed sectors. Firms able to self-finance risk and invest in resilience will gain options that competitors dependent on conventional coverage may lose.
Strategic considerations
Make insurability a core criterion for where you operate and invest. Map where coverage is thinning or disappearing across operations, logistics networks, critical suppliers, products and services, then decide which risks to retain and which to reduce through targeted resilience investment. Use that analysis to determine whether certain regions or offerings need to be redesigned or exited altogether, balancing lower premiums and continued access to financing against the risk of weakening operations to the extent that the business can no longer function effectively.
Political fragmentation is becoming an investment risk
What happened
Concerns are growing when it comes to the economic implications of the far-right Alternative for Germany’s (AfD) landslide victory in the Saxony-Anhalt state election, where the party won 44% of the vote in early September. Bundesbank President Joachim Nagel and business groups including the Federation of German Industries (BDI) and Bitkom have warned that rising political polarization could make Germany less attractive to foreign investors and skilled workers, potentially exacerbating existing labor shortages and growth challenges.
Our POV
This marks Germany’s entry into a broader global reality: the rise of political movements offering radical departures from long-established institutional norms – a narrative familiar in the UK since Brexit and in the US through shifting immigration and trade policy. With major elections in France, Spain and Italy coming up later this year, all of which feature populist parties in contention, no doubt the conversation will continue to gain momentum.
Whether populism itself is a growth drag remains a topic of debate. But what’s becoming increasingly clear is that businesses must factor political movements that challenge established norms around borders, trade, regulatory oversight and legal predictability into long-term investment decisions and assessments of future market attractiveness. If investors, skilled workers or multinational employers become less confident about a market’s long-term stability, they may delay investment or forgo it altogether, opting for alternative, more stable markets instead. The result would be a gradual shift in where growth opportunities concentrate over the next decade.
Strategic considerations
Move political risk from the regulatory affairs function into mainstream business planning. Develop scenarios that test how changes in immigration, labor mobility, consumer confidence, international cooperation or investment sentiment could affect demand, talent availability and capital allocation across key markets. In the future, competitive advantage will come from understanding which growth strategies remain resilient across multiple political futures.
AI gains may be masking future capability gaps and compliance costs
What happened
Across major economies, AI is moving from a promise of future productivity to a measurable source of growth. In the UK, GDP expanded by 0.4% in July, with the Office for National Statistics identifying computer programming, AI and cloud computing-related activities as major contributors (while consumer-facing sectors remained flat). But this growth is coinciding with a reallocation of resources rather than simple addition: businesses are increasingly channelling budget toward AI tools while cutting spend elsewhere, including junior headcount and external advisory services.
Alongside this momentum, however, sits rising resistance. Frontier AI leaders including Dario Amodei of Anthropic, Sam Altman of OpenAI and Elon Musk of xAI this month publicly called for a coordinated slowdown in frontier model development to allow independent safety evaluations and stronger oversight to catch up. Policymakers are moving in a similar direction: the UK’s Joint Committee on Human Rights has called for AI regulation covering the entire lifecycle of the technology, while US politicians across the spectrum (yet, notably, not President Trump) are pushing for stricter federal oversight.
Our POV
Amid the rush to capture AI’s opportunities, organizations should stay alert to what today’s investment may quietly be costing them down the line – hidden liabilities that will not show up on the balance sheet until later.
Firstly, there is an internal strategic debt to consider. Reduced junior hiring and advisory spend register immediately as savings, but the capabilities that they typically build – institutional memory, leadership pipelines, specialist expertise, exposure to external challenge – could progressively erode; by the time the gap is visible, it may be too expensive to close.
The second form of strategic debt is regulatory. The current push for oversight is aimed primarily at frontier developers, rather than the businesses using their models. But if compliance, auditing and reporting requirements tighten upstream, then ordinary organizations should expect knock-on effects: new compliance burdens of their own, constraints on what AI tools can be used for, and costs that were not in the original business case. Both forms of debt share the same trait: the gains are visible now, the bill arrives later.
Strategic considerations
Track gains as well as liabilities that could come at a cost down the line. Identify which of your productivity gains rest on reduced advisory spend, slower hiring or greater reliance on AI-generated output, and track the human capabilities that decline as a result, alongside efficiency metrics, decision quality, and talent strength. At the same time, treat regulatory movement at the frontier as an early warning for your own compliance exposure. Organizations building real dependency on AI should be assessing both sides of the ledger: where value is being created today, and where risk and cost are quietly accumulating for tomorrow.