speculations

https://gizmodo.com/jeff-bezoss-wapo-plans-to-add-random-opinion-writers-edited-by-ai-2000611689 He felt old. He was lonely too. He remembered when the office, and the pub next door were full… of humans, hacks, journalists. Breaking news and, in his world, setting agendas. His columns had shifted the conversation and of course he’d once coined a phrase that became a “meme”:… Read the rest

https://www.thedrum.com/opinion/2025/06/05/the-screen-s-days-are-numbered-genui-the-next-big-leap-customer-experience It was a bonding thing. A mother-daughter thing. They didn’t have much in common any more. The mother still had problems getting the pronouns right and kept mentioning the wrong feminist icon from her own teenage years. They’d grown apart. So the weekly visit was a chance to share… Read the rest

https://www.linkedin.com/posts/iammarkhadfield_sxsw-london-apparently-there-are-over-activity-7335334494096289795-hqWq Look, it just needs reprogramming. No, don’t give me that: “it’s not as simple as that”. It’s a machine. Just do it. It’s gone off the rails. We’re thought leaders. The industry pays to come to our events, engage with our Agents, embed our systems because we identify the… Read the rest

https://www.campaignlive.co.uk/article/kind-cannes-lions-will-2025/1920142 It was his first time. He’d heard the stories. There was one guy who loved nothing better than telling tall tales of his time on the beaches and in the bars: the deals he’d done. “And it’s still a human place!” he’d say. “They can’t prop up a bar.”… Read the rest

https://uk.themedialeader.com/is-the-ad-industry-ageist-with-anna-sampson He wasn’t about to be sacked. Too complicated. Too expensive and, the algorithms said, too likely to generate bad PR. He’d been here before. He was old enough to remember the early panics around “AI taking our jobs”. He’d survived that and carved out a role in the new… Read the rest

https://www.campaignlive.co.uk/article/somethings-gone-horribly-wrong-new-chair-faces-calls-fix-wpp-agm/1919735 The shareholders were not happy and were making it clear. They’d analysed the situation, run the simulations, amassed the data. The Board faced a screen full of assertive and sometimes angry faces: human and avatar. The avatars quietly and methodically laid out their analyses like a chess grandmaster patiently… Read the rest

https://www.ft.com/content/d5002635-7639-4e96-8f82-291bd9073155 He could have asked his Agent. It knew him better than anyone and was good with words but he was determined to do it himself. She was worth it. He tried reading poetry. There were some clever bits. Not right. Song lyrics, that’s better he thought, more him, less… Read the rest

https://www.newyorker.com/culture/infinite-scroll/sam-altman-and-jony-ive-will-force-ai-into-your-life Fans’ Agents had done countless visualisations, 4D printed countless thoughts. They’d accessed data from official – and many unofficial – sources. They’d run rumours through their algorithms, stress-testing Truths and truths. Countless megawatts had been spent imagining the future. The Agents’ humans were at it too. Watercooler conversations on… Read the rest

https://www.honest-broker.com/p/5-ways-to-stop-ai-cheating She’d thought of taking a “supporter” to the meeting. They expected her to have an Agent. A friend who studied law had offered to lend his. She’d refused. She wanted to do this herself. She knew the tutor who was running the meeting. It was one of her favourites.… Read the rest

https://www.marketing-interactive.com/nlb-turns-the-page-on-reading-with-ar-powered-specs They’d already been in Victorian London for most of the morning. With Christmas coming up the partners’ own algorithms saw higher potential brand engagement in the history class moving from the Tudors. So the history class had been exploring the back streets and workhouses. Now it was English. The… Read the rest