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FT's Georgie Cauthery: B2B Competes with Netflix, Spotify

Georgie Cauthery, creative strategy director for the Financial Times' EMEA B2B advertising, argues B2B brands must prioritise trust and human-centred creativity when using AI. Research by the FT and the IPA found 92% of global B2B decision-makers say misuse of AI would profoundly damage trust. The FT has implemented a custom GPT as a first‑pass compliance co‑pilot for sustainability copy alongside human review and ASA guidance to speed reviews while preserving accountability. Cauthery recommends investing in thought leadership and audio (podcasts/liquid content) to build long-term awareness, and she warns that B2B attention is increasingly contested by consumer platforms such as Netflix, Spotify and Instagram.

New Jersey sues Amazon alleging monopsony over delivery contractors

New Jersey Attorney General Jennifer Davenport filed an antitrust lawsuit against Amazon on Aug. 4, 2026, alleging the company illegally used its market power over third‑party delivery contractors (Delivery Service Partners) to suppress competition, hold down driver wages and impose poor working conditions. The complaint, filed in U.S. District Court for the District of New Jersey, says Amazon’s delivery model makes contractors economically dependent and restricts contractors from hiring each other’s drivers and from unionization. The suit highlights growing regulatory scrutiny of Amazon’s last‑mile delivery model, which the company has operated since 2018 and which has reduced its reliance on carriers such as UPS and FedEx.

Stop Buying AI, Buy Capabilities

The article argues that the umbrella term “AI” is too broad for marketing and martech procurement and urges organizations to reframe AI initiatives as four distinct capabilities: generation, augmentation, insights, and orchestration. The author, Greg Kihlström, recommends retagging existing AI initiatives by capability to reduce duplicate spend, assign clear ownership, and clarify failure modes and costs. The piece cites Forrester (Jay Pattisall and Mike Proulx) to illustrate that AI adoption may follow the same normalization arc as electricity, and it contrasts ambient low-stakes AI uses with high-stakes domains where probabilistic failures have significant consequences.