Better Business Manifesto

I'm Ed Cox and I've spent over fifteen years co-founding and running digitally-focused social businesses. In that time I've seen the promise of technology and progressive business thinking up close. I've also seen how easily both can be co-opted, diluted, or used to cause harm. The challenges we face are bigger and more urgent than ever but the tools available to address them are more powerful than ever. This is what I believe about how to use them well.

Business must be a force for good, not just claim to be one

• Shared and sustained value creation is the Universal Purpose of a Company, a direct alternative to shareholder primacy, which has driven global inequality to historically unprecedented levels.
• The circular economy is restorative and regenerative by design. The extractive economic models it replaces have brought us to the edge of ecological breakdown.
• Breakthrough business models, social innovation, and social entrepreneurship should be actively encouraged, not treated as a niche or a nice-to-have.
• The UN's Sustainable Development Goals remain the most comprehensive blueprint we have for addressing the world's most urgent challenges. They should inform strategic decision-making, not just sustainability reporting.
• Workers are stakeholders, not resources. Decent work,fair pay, genuine security, and a meaningful voice in the organisations they build, is a basic requirement of a legitimate business, not a progressive ideal.
• Ethical business extends beyond operations to supply chains and procurement. Transparency about who makes things, how, and under what conditions is the baseline, not an optional extra.
• Meaningful social change requires working in genuine partnership across sectors. No single organisation, however well-intentioned, solves systemic problems alone.

Digital technology is one of the most powerful levers we have, and one of the most dangerous

• The greatest transformations will come from applying breakthrough digital technologies to the world's biggest problems, but only if those technologies are built and governed responsibly.
• We must be techno-pragmatic: clear-eyed about what technology can and cannot do, honest about its costs, and relentless about ensuring it is made with the people it serves, not just for them.
• Digital products and services must be inclusive by design and built for trust, context, and outcome. Accessibility is a fundamental requirement, not a feature.
• Technology that extracts attention, harvests data without meaningful consent, or concentrates power in the hands of a few is not neutral. The surveillance capitalism model has caused profound social harm and should be actively resisted, not quietly accepted.
• Platform monopolisation is a structural threat to a healthy digital ecosystem. Interoperability, open standards, and the right to repair the tools we use matter enormously.
• The ethical application of technology means honestly acknowledging its capacity to do harm, including its potential to spread misinformation and deepen inequality, and consistently seeking to do better.
• Change happens by thinking big, starting small, and relentlessly seeking impact through experimentation and iteration. We should never "move fast and break things."

Artificial intelligence demands a new kind of responsibility

• AI is not a trend. It is a fundamental shift in how decisions are made, how knowledge is created, and how power is distributed, and its implications for business, society, and the planet are still unfolding.
• The potential of AI to accelerate progress on climate, health, education, and inequality is real. So is its potential to cause harm by automating exploitation, embedding bias at scale, and concentrateing wealth.
• The environmental cost of AI must be honestly measured, disclosed, and minimised. Any technology that claims to help solve the climate crisis while significantly contributing to it deserves hard questions.
• AI systems should be transparent, explainable, and subject to meaningful human oversight. Where AI makes decisions that affect people's lives, those people must have the right to understand, challenge, and override those decisions.
• Data used to train AI must be ethically sourced, appropriately consented, and honestly accounted for. Extracting human creativity and knowledge without attribution or compensation is not a business model, it's a harm.
• AI-driven displacement of workers is not inevitable. Organisations that deploy AI have a responsibility to invest in the people affected, not simply pocket the productivity gains.
• We should build with AI where it genuinely amplifies human capability and social benefit. We should resist AI where it automates inequality or replaces human judgement with opaque, unaccountable systems.

Let's connect

These are not easy commitments to keep but I believe they are worth holding to, and I'm always interested in connecting with others who do too.

Connect with me on LinkedIn and let me know you believe in better business.