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By: Paul Armstrong

Paul Armstrong is Founder of emerging tech advisory, TBD Group, and its intelligence community, TBD+. An international speaker on AI, big tech, and disruptive innovation, Paul advises global organisations on strategy, risk, and the business impact of emerging technologies and platforms. A writer on technology for decades (Forbes, Reuters, The Information etc), he recently wrote 'Disruptive Technologies', and continues to run TBD Conference. Connect on LinkedIn. paul-armstrong.com members.tbdpl.us

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All 57 Articles
  • Why your next marketing crisis is going to be self-inflicted

    December 16, 2025

    Most 2026 plans ignore marketing’s geopolitical exposure, the aggressive monetization of platforms, and the erosion of trust, requiring leaders to shift from chasing reach and automation to strategic discipline, internal alignment, and building direct customer relationships, says Paul Armstrong Most 2026 marketing plans are already built on assumptions that no longer hold, not because the [...]

  • Reeves is betting big on AI, but does the public back her?

    December 9, 2025

    Rachel Reeves is betting the UK’s economic future on an AI-driven productivity surge, but there are serious questions about the plausibility of this bet given the UK’s weaknesses in implementation, scaling capacity, talent retention and public pessimism, says Paul Armstrong Rachel Reeves has placed an enormous bet on AI rescuing the UK’s dwindling economy. Fraser [...]

  • AI will transform healthcare, but it won’t necessarily make it fairer

    December 2, 2025

    What if healthcare becomes not a universal right but a personal upgrade? Asks Paul Armstrong The healthcare industry is entering its most radical transformation since the antibiotic era – and possibly its most dangerous. AI is no longer just scanning X-rays or arranging appointments. Robotic systems are beginning to perform surgery with levels of precision [...]

  • Can Linkedin survive AI?

    November 11, 2025

    AI and the modern economy are already challenging how we perceive the labour market. Can Linkedin survive it, asks Paul Armstrong.

  • Why your businesses fell for the AI inclusion illusion – and what it’s going to cost you

    November 4, 2025

    The purpose of generative AI is to generate the most statistically likely output. In human terms, that means mediocrity at scale, not diversity, says Paul Armstrong Corporate diversity has turned into performance art. Generative AI now makes accessibility look effortless as captions appear automatically, transcripts compile themselves and summaries glow with the language of clarity. [...]

  • AI browser wars: How Gemini and Atlas are redefining the attention economy

    October 28, 2025

    The new generation of AI browsers, from OpenAI’s Atlas to Google’s Gemini, aren't about search, but sense-making, writes Paul Armstrong.

  • AI slop is a feature, not a bug, and your brand is the next casualty

    October 21, 2025

    Brands that succeed in the age of AI will be those that make trust an operating system, says Paul Armstrong Google, Meta, OpenAI, LinkedIn, TikTok and the rest of the attention cartel are not drowning in AI slop by mistake, they’re selling the lifeboats. The only way out (to be seen) is to buy ads. [...]

  • Is your tech strategy good, or just AI theatre?

    October 15, 2025

    Artificial intelligence has become the business world’s favourite performance recently. FTSE 100 earnings calls now mention AI more than inflation, and investor briefings increasingly resemble tech expos. Analysts report that AI references in UK company filings have tripled in the past year, yet the results aren’t matching the rhetoric. Markets are beginning to glance sideways. [...]

  • Cyber hackers know the weakest spot to target: unhappy employees

    October 8, 2025

    Loyalty has become the frontline of cyber defence. A disaffected employee is more dangerous than the most sophisticated malware.

  • Why Big Tech’s rap sheet matters more than its product pipeline

    October 1, 2025

    Big Tech has shifted from a focus on genuine innovation to a model of value extraction, where massive fines for manipulative and monopolistic practices are now treated as a routine cost of doing business, says Paul Armstrong Amazon’s $2.5bn fine for dark patterns and Google’s courtroom escape from monopoly charges reveal how much the industry [...]

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