Kenneth Van Den Bergh

Kenneth Van Den Bergh's thinking centers on a single conviction: carbon accounting only matters if it is rigorous, standardized, and treated with the same discipline as financial accounting. This is the throughline of his TEDx work, where he argues that "we should track carbon emissions with the same rigor we apply to financial accounting" and frames the climate problem in concrete, quantifiable terms, humanity has a finite carbon budget of roughly 600 gigatonnes remaining before 1.5°C is breached ¹⁸. That same instinct for measurement over rhetoric shows up in his other TEDx talk, which questions why scientific truth alone has failed to move the needle on climate change, suggesting his broader interest is not just in producing better data but in understanding why good data and good science haven't been sufficient to drive action ¹⁶.

That philosophy translates directly into his operational focus on regulatory infrastructure. He tracks the CSRD's E1 disclosure requirements in granular detail, explaining that companies must update scope 1 and 2 emissions annually and scope 3 at least every two years, with carbon footprint work serving as "a foundational input for the broader climate reporting obligations under CSRD" ¹⁷. He applies the same close attention to the standards landscape more broadly, following the ISO and GHG Protocol partnership as it moves from announcement to substance, noting that "as of 2028, there should be no more differences between ISO 14064 and the GHGP Corporate Standard," while flagging unresolved friction points like the discounting of emissions from capital goods over time . He treats ISO's 2026 net-zero standards work, the Net Zero Aligned Organizations Standard and the sustainable finance transition-planning standard, as significant infrastructure for making net-zero claims credible and comparable across financial institutions . His recurring emphasis is that alignment between standards bodies is not a bureaucratic footnote but the plumbing that determines whether corporate climate claims can be trusted.

A second major theme is his insistence on data quality as the practical bottleneck in carbon accounting. He describes emission factor database management as "a full-time job," pointing to the mess of update schedules, format inconsistencies, and gaps in things like WTT data and biogenic emissions assumptions that make the work harder than it looks . This is not abstract complaint but a stated operating principle: his team's approach is to "update EFs as soon as they're released" and apply careful temporal matching so that, for example, 2024 activity data uses 2024-specific factors, minimizing retroactive restatements of historical emissions . He extends this rigor to AI-assisted tools, arguing that emission-factor matching "rarely has a single correct answer" and that raw match rates say little about quality. His benchmarking work insists on two explicit criteria, direct usability and match quality, rather than simply whether an algorithm produced an answer at all .

His stance on AI and climate is notably measured rather than techno-optimistic or dismissive. Citing the Stern and Systemiq paper, he lays out specific sectoral estimates, AI cutting global emissions by 3.2 to 5.4 GtCO2e per year by 2035 across power, meat and dairy, and mobility, more than double AI's own projected energy-use emissions increase. But he is careful to relay the paper's core caveat rather than oversell the technology: markets alone won't point AI at climate solutions, it takes "deliberate policy, investment, and an 'active state' to steer AI toward public good rather than just profit" . This mirrors his broader pattern of using primary research and named sources rather than generalized enthusiasm.

Practically, he applies his own rigor standards to his own operations, treating measurement as something you do to yourself, not just sell to clients. He publicly walks through Carbon+Alt+Delete's own hosting emissions, noting the company hosts infrastructure in France where nuclear-dominated electricity keeps operational emissions low, and quantifies the result precisely: about 1 tCO2e per year, or 2 to 3 percent of total company emissions . This willingness to expose granular, self-referential numbers reflects his general orientation that credibility comes from transparency about method and data, not from asserting outcomes.

Finally, his recurring public activity, biweekly Carbon Briefings, partnership announcements with regional consultancies across Canada, Denmark and elsewhere, and recurring Carbon Academy training sessions, indicates a consistent belief that carbon accounting expertise needs to be actively disseminated and taught, not just embedded in software. He frames these partnerships as extending "climate services" into new markets and turning "data into real impact" , and pitches training explicitly at adjacent professionals, energy consultants, environmental consultants, financial accountants, on the premise that the discipline of carbon accounting needs to spread beyond a narrow specialist community to be effective . Across all of this, the throughline is consistent: standards, data quality, and transparent methodology are what separate real climate accounting from performative claims.