Actionable resources designed for practitioners to transform corporate sustainability strategies
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October 14, 2026
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London, United Kingdom
Join us in London this October for a flagship sustainability summit combining day-to-day strategies like PCFs and supply chain engagement with long-term insights on the green job market and practitioner aspirations.

Organic controls inputs; regen measures outcomes; rewilding surrenders the land entirely. They are related but distinct, and conflating them leads to muddled strategy and unrealistic expectations.
Regen is more scalable than organic for large-scale farming. Its principles are already familiar to farmers, its standards are less prescriptive, and the productivity case for improving soil health is increasingly self-evident as degradation compounds.
Rewilding works best where agriculture is economically marginal. The UK can afford to subsidise it; the US, Canada, and Australia cannot make the same trade-off without significant economic consequences.
Premiumisation is the other viable path for rewilding, but the category has to fit. Bread probably never gets there; cocoa, as it becomes an increasingly scarce and premium commodity, might actually be a genuine candidate.

The brand battle was unwinnable from the start. Meat and dairy carry millennia of cultural positioning that cannot be disrupted in a two-year marketing cycle, regardless of how good the product engineering becomes.
The product category was aimed at the wrong customer. Existing non-meat eaters do not want something that tastes like meat, and confirmed meat eaters are too deeply attached to the original to switch easily.
B2B is the more natural home for this technology. Selling plant-based protein as an ingredient into supplements, snacks, and animal feed sidesteps the consumer branding problem entirely and plays to the engineering strengths of these companies.
Emerging markets are the real growth story. High existing rates of plant-based eating across South and Southeast Asia make these markets far more receptive than North America, without requiring any conversion narrative at all.

Cocoa supply faces a structural, not cyclical, crisis. Aging trees, incurable disease, artisanal mining, and agroclimatic zone shift are all compounding simultaneously with no clear systemic fix in sight.
Farmers capture under 7% of cocoa's value yet absorb most of its risk. Administered pricing in Côte d'Ivoire and Ghana means they miss price peaks and get caught at troughs, making economic resilience almost impossible.
Demand is adjusting structurally, not temporarily. Reformulation, shrinkflation, and substitution of cocoa butter are likely permanent shifts, removing the commercial signal that could otherwise incentivise supply investment.
Real cocoa is becoming a premium commodity. The most plausible equilibrium is a bifurcated market where mass-market products move to alternatives and genuine cocoa commands a significant premium, at much lower volumes.

Agentic AI makes sustainability work automatable at scale. Predictable, cyclical, subject-matter-dependent workflows are exactly what agents are built for, and sustainability teams fit that description almost perfectly.
The new benchmark is 80% value at 60% of the cost. Organisations will choose internal agentification or AI native service providers; either way, full-team sustainability functions will struggle to justify their cost.
Deep subject matter expertise is being commoditised. The person who knew the arcane rules cold is being replaced by a well-prompted LLM; what remains valuable is systems thinking, stakeholder judgment, and knowing how to design and maintain the agent infrastructure.
The manager-analyst layer is under structural pressure. Agents reduce the need for information gatekeeping and decision translation, which are the primary reasons those layers exist; managers should get ahead of this, analysts should learn to demonstrate they don't need the layer above them.
Don't be the translator nobody remembers. Sustainability's value has partly been about bridging between worlds; as AI absorbs that bridging work, professionals need to identify what only they can do.

SBTi V2 is a deliberate market expansion play: Category A vs B categorisation, wider target optionality, and emerging market accommodation are all designed to drive adoption well beyond the original large-multinational base.
SBTi is now explicitly pro-climate finance: For the first time, the standard takes a clear ideological position: large companies should own their residual emissions financially, with mandatory offset commitments starting at 1% in 2035 and scaling to 100% by net zero year.
More optionality means less comparability: Two companies in the same sector can now both be SBTi-aligned while doing completely different things; a supplier having a target is no longer enough: you need to know what that target actually is.
Insets are still unresolved: The standard gestures toward the GHG Protocol to fill the definitional gap, but until that happens the boundaries of what counts as an inset remain unclear.

CBAM is live but the implementation infrastructure isn't ready : Data verification, supply chain traceability, and third-party audit are all still being figured out; treat year one as the first pancake.
CBAM inadvertently accelerates China's green industrial strategy : By incentivising China to build its own domestic ETS, it hands China both the tax revenue and the motivation to dominate the enabling technologies for green steel and beyond.
The numbers don't fully close the gap : CBAM adds €100–130/tonne to steel by 2034; the green steel premium is €200–300/tonne. It narrows the gap but doesn't bridge it, which is why disruptive green steel projects are still struggling to launch.
Europe keeps setting the rules and losing the prize : From solar to batteries to electrolysers, Europe creates the regulatory demand signal and China captures the industrial advantage. CBAM risks repeating this pattern.

ESG was a risk framework sold as an investment strategy, and it doesn't hold up : The logic implies a short thesis, not a long one; bidding up ESG-compliant companies generates no structural advantage over the market.
The double bottom line has an original sin : Claiming you can maximise financial returns and social impact simultaneously without trade-off is intellectually dishonest, and that dishonesty has eroded the whole category's credibility.
Impact investing has three places where it actually works : Corporate VC where the impact label builds genuine brand value, venture philanthropy where recycled capital multiplies impact, and catalytic blended finance where DFIs unlock private capital that wouldn't otherwise show up.
$1.5 trillion in impact AUM is a number born of hype : A more honest, focused version of the space would be smaller, thematically specific, and upfront about accepting below-market returns as a known trade-off, not a failure.

Resilience beats agility for strategic commodities : Constantly switching suppliers narrows your options and drives up costs; deep investment in a small number of key origins builds durable supply security.
One investment, multiple returns : Combining supply resilience, carbon credits, and biodiversity benefits into a single supplier partnership makes each individually marginal ROI stack up into a compelling business case.
The triple win only works if you see the chain end to end : Squeezing supplier margins creates fragility; investing in farmer productivity creates resilient supply, better quality, and nature benefits simultaneously.
Sustainability needs to follow the Bradley Curve : The goal is interdependence, where every function internalises sustainability as a reflex : not compliance, where a dedicated team tells everyone else what to do.
The PhD in climate change must become an MBA in business change : Sustainability professionals who can't speak the language of business value will never successfully embed the agenda in the organisations they work for.

The sustainability function is under pressure from three directions: functional migration to procurement and finance, automation of core workflows, and a retreat from ambitious blue-sky thinking, all at once
Volatility is the right new territory: Commodity price instability is already at historically unprecedented levels, and planetary boundary breaches will make it structurally worse and less predictable for decades to come.
Category leaders need volatility management or they risk losing the category: If cocoa collapses, so does the chocolate business; the sustainability professional who can model and respond to that threat becomes mission-critical.
Three skills transfer directly: systems thinking, data insight, and storytelling: Applied with deep business context, these are exactly what volatile environments require and what no other function currently provides.
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