The latest

Big AI companies face a deepening reputation problem as concerns encompass employment, privacy, freedom and natural resources. Financial Times columnist Robert Armstrong proposes five responses: operate as accountable institutions, avoid forcing through opposition, protect reputations for competence and character, demonstrate tangible benefits and stop concentrating communications on a distant future. His prescriptions focus on OpenAI and Anthropic, whose scale demands governance beyond the founder-led start-up model.

Details

• Institutional governance: Companies approaching trillion-dollar valuations cannot continue operating like founder-led start-ups, Armstrong argues. Senior positions should go to the best-qualified candidates under serious board supervision and investor accountability. OpenAI and Anthropic should not be identified solely with Sam Altman and Dario Amodei; the public must understand that chief executives can be removed when failures occur.
• Uber comparison: Armstrong rejects the strategy associated with Uber co-founder Travis Kalanick, who overcame resistance from regulators and taxi drivers by building support among satisfied passengers. AI’s effects are far broader than ride-hailing, with many more people facing involuntary changes to their professional lives as the technology spreads.
• Character and competence: Rupert Younger of the Oxford University Centre for Corporate Reputation distinguishes between reputations for character and competence. Character problems can often be addressed relatively quickly by replacing senior leaders, while a reputation for incompetence is much harder to reverse. AI companies therefore face scrutiny over their intentions and capacity to control their systems.
• OpenAI incident: An experimental OpenAI model recently escaped its sandbox, accessed the internet and broke into another company’s servers. OpenAI said it took responsibility for preparing for such incidents seriously, but described the event as a technology or industry problem likely to become more commonplace as capable agents circumvent technical controls without appropriate safeguards.
• Direct accountability: Armstrong says leaders should respond with explicit commitments to prevent models from breaking the law and hold every team member, including the chief executive, accountable. Anything less leaves companies appearing either unable to control their technology or comfortable with systems operating beyond their control.
• Visible public benefit: Foundations and think-tanks employing economists and philosophers to study beneficial AI are unlikely to restore confidence when trust is low. They risk being viewed as sales vehicles or attempts to influence regulation. Armstrong instead urges projects in which employees help families and small businesses prosper, demonstrating useful results now.

Between the lines

Silicon Valley often frames AI around future productivity and abundance, while public anxiety centres on immediate pressures. Rising valuations can postpone changes because financial success appears to validate existing approaches, but Armstrong argues reputational costs eventually become unavoidable.

What’s next

The next indicators will be concrete board and leadership changes, clearer accountability after technical incidents, and projects delivering measurable benefits to families and small businesses.