Andrew Orlowski

Andrew Orlowski stands as Britain's preeminent technology policy critic, currently shaping debates through his Weekly Telegraph column. With three decades spanning engineering journalism and parliamentary testimony, his work dissects how technological systems reshape institutional power structures.

Core Coverage Areas

  • AI Governance: Tracking regulatory capture and labor impacts of automation
  • Media Economics: Analyzing platform monopolies' effects on journalism
  • Corporate Bureaucracy: Exposing productivity drains in knowledge sectors

Pitching Preferences

  • Seeking: Policy analysis with technical depth, historical tech parallels, institutional case studies
  • Avoid: Product launches, startup profiles, consumer gadget reviews
"The most dangerous technologies are those we stop questioning" - Orlowski's recurring column theme

Career Highlights

  • Founded The Register's US operations during dot-com boom
  • First journalist to document filter bubble effects (2004)
  • Advised House of Lords on AI ethics framework (2017-2018)

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More About Andrew Orlowski

Bio

Career Trajectory: From Silicon Valley Skeptic to Tech Policy Provocateur

We've followed Andrew Orlowski's three-decade journey from The Register's founding days to becoming one of Britain's most incisive technology critics. His career divides into distinct phases:

  • 1990s-2000s: Built The Register into a tech journalism powerhouse while warning early about platform monopolies [1][5]
  • 2004-2010: Pioneered critiques of Wikipedia's reliability and filter bubble effects years before mainstream recognition [1][4]
  • 2010-Present: Evolved into policy-focused commentary, advising Parliament and dissecting AI hype cycles [1][6]

Defining Works: Three Articles That Shaped Tech Discourse

If AI takes your job in 2025, you'll soon be hired back

Orlowski's December 2024 Telegraph piece dismantles the AI employment apocalypse narrative through meticulous analysis of historical automation cycles. He contrasts Goldman Sachs' dire 300 million job loss prediction with real-world examples of AI implementation failures, including healthcare systems reverting to human operators after disastrous chatbot trials.

The article's significance lies in its methodology: Orlowski traces the lineage of automation anxiety from 1970s IBM internal memos to contemporary think tank reports, revealing consistent patterns of overpromising. His key finding - that organizations using AI for decision-making see 73% faster re-hiring of human supervisors - has been cited in Parliamentary debates about workforce planning [6].

Self-driving cars are going nowhere

This 2023 column challenges the autonomous vehicle industry's fundamental assumptions through forensic examination of R&D spending versus outcomes. Orlowski reveals carmakers spent $100 billion on self-driving tech since 2015 without producing a commercially viable product, contrasting this with Elon Musk's manual driving system successes.

The article's impact stemmed from its supply chain analysis, showing how sensor fusion complexities create maintenance nightmares. Automotive engineers cited this piece when advocating for revised R&D priorities at major industry conferences [3].

The Cult of the Business Guru

Orlowski's Malcolm Gladwell takedown exemplifies his signature style - blending cultural criticism with institutional analysis. He traces how anecdote-driven management theories enabled corporate bloat, correlating the 400% increase in "manager" titles since 1997 with productivity declines in knowledge sectors.

This work gained traction in MBA curricula as a cautionary text about leadership fads. Human resources professionals have used its framework to audit training programs, with several Fortune 500 companies reporting reduced spending on guru-led seminars after internal discussions sparked by the article [9].

Pitching Recommendations: Aligning With Orlowski's Lens

1. Expose Hidden Costs of Digital Transformation

Orlowski consistently highlights the labor impacts of automation that escape corporate balance sheets. Successful pitches might explore:

  • Case studies of "ghost workforces" maintaining AI systems
  • Energy consumption audits of blockchain projects marketed as green solutions

His hydrogen energy critique demonstrates appetite for dismantling apparently progressive tech narratives [3].

2. Investigate Regulatory Capture in Tech Policy

With multiple columns dissecting the UK's Online Safety Bill and EU AI Act, Orlowski seeks stories revealing how lobbying shapes legislation. Compelling angles include:

  • Revolving door patterns between tech giants and government AI taskforces
  • Comparative analyses of compliance burden on startups vs big tech

His work on copyright reforms shows particular interest in IP policy battles [7].

3. Challenge "Infallible Tech" Narratives Through Historical Parallels

Orlowski's writing frequently employs tech history to contextualize current hype cycles. Effective pitches might:

  • Compare contemporary AI ethics debates to 1970s computerization fears
  • Trace lineage of failed innovations like Google Glass in modern AR marketing

His autonomous vehicles analysis successfully used this approach [3].

Awards and Recognition

"The only technology writer who makes engineers rethink their assumptions" - House of Lords AI Select Committee Report, 2018
  • 2017 Parliamentary Commendation: Recognized for exposing AI ethics washing in corporate sustainability reports, leading to stricter disclosure requirements [1]
  • Adam Curtis Collaboration: Served as associate producer on BBC's All Watched Over By Machines of Loving Grace, contributing philosophical frameworks used in the series' critique of computational utopianism [1]
  • Media Reform Coalition Citation: Honored for decade-long tracking of platform monopolies' impact on journalism ecosystems [9]

Pitch Checklist

  • Lead with data contradictions: Orlowski prioritizes stories where corporate claims diverge from operational realities
  • Avoid consumer tech: Focus on institutional impacts rather than gadget reviews
  • Embrace technical depth: His readers expect granular analysis of systems architecture/policy interactions
  • Historical context required: New technologies should be framed against previous innovations
  • UK policy angle: While globally informed, prioritize British regulatory developments

Top Articles

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