It's computational and AI everything

21 Feb 2025

Shreyas Prakash headshot

Shreyas Prakash

I was listening to a talk by Debbie Mcmahon from Financial Times recently at Productcon recently and I was surprised by the fact that even in journalism we’re seeing tailwind trends of professions needing more computational skills — genAI is now used to spot stories, and to spin up newsworthy headlines and narratives around these stories. Tech is the new English.

They are now, ‘computational journalists’…who are equipped with AI, data and trendspotting skills.

This is now the bread and butter, and journalists need these skills to survive. Essentially, another discipline has become computational.

Not just journalists. Architects are computational architects. And so on…

You even have computational archaelogists who are not just equipped to understand the lost history of a geography, but can also use tools such as GIS to analyse the very geography they want to understand the lost history from. Not just that, they now use statistical analyses to process large archaelogical datasets.

The concept of “computational X” for all imaginable fields X — suggesting that computational language opens up possibilities far beyond traditional computer science, allowing for the various disciplines to be classified in computational terms.

With the thesis of K-shaped economy emerging, existing disciplines are evolving to even go beyond just using computational tools in their existing disciplines, but to also ‘AI-ise’ their disciplines.

If you think of your job, not just as ‘one-big job’, but as a series of jobs-to-be-done, then the concept of ‘AI-ising’ your disciplines make more sense.

Instead - think of your job as a “bundle of tasks”.

For example, if you’re a sales rep – your job is a bundle of tasks: 

  • Prospecting potential customers
  • Drafting cold emails
  • Tracking response rates 
  • Scheduling calls
  • Doing the calls
  • Writing notes during the call
  • Followup emails
  • Drafting proposals
  • Updating your CRM
  • etc..

How many of those tasks can AI do today? Maybe only 2-3 out of 20 can be significantly boosted with AI today.

But AI is improving fast. Soon, half your tasks will be handled by AI.

Write this down - in the future being able to “manage robots” will be more valuable than managing humans.

Even my field, product management had already transitioned to a computational nature, and is now becoming more AI-ised. We might have to manage an army of bots, AI agents and microservices (apart from managing humans and products, of course). There is an increasing need for product managers to cook up prototypes and foster a culture of rapid experimentation, and to test ideas faster within teams:

My thesis for product management is that it would become more of prototype management. There would be a lot more experimentation, quick validations that the product roles would handle, much more than what we do today. Product management and Product building would probaby fuse into this new (undefined) role. We can call this as “AI Product Management” for now, but I suspect that this would be something else entirely different.

Not just disciplines, but even hobbies. Every hobby is becoming computational and AI-ised. Hobbyists can conduct various “what if?” experiments in a risk-tolerant virtual environment by manipulating bits before proceeding to conduct the very same experiments by manipulating atoms:

  • Reading books is still popular, but reading books has been mostly replaced by audio books, Kindle e-readers annotated with Goodreads comments and community-annotated Kindle highlights.
  • Traditional film based cameras have been replaced with digital cameras, smartphones, which again ends up in screens for editing, image manipulation, or for the Tiktokization of the videos
  • Model building now involves building CAD models first, where creators construct models first in digital space, complementing (or) sometimes even replacing the physical kits.
  • Even gardening which is predominantly a physical activity has become less screen-free over time for some folks. Some do digital plant monitoring with apps to check when to water their plant next?
  • Paper-based journalling is now done in sync with note-taking apps for archiving, searchability, cloud syncing etc.

The screen-free hobbies are not screen-free anymore. The screen-free disciplines are also not screen-free anymore. And it’s not even about the changing economy, the surrounding tailwinds, and the need to play catch-up games with everyone and everything around us.

AI just makes us better and well crafted at what we do, even in crafts.

It’s computational and AI everything.

Subscribe to get future posts via email (or grab the RSS feed). 2-3 ideas every month across design and tech

Read more

  1. Home is where the feeling of home residesreflections
  2. Notes on doing most good, doing some good, and living goodphilanthropy
  3. Notes on Londontravel
  4. 18 key ideas from reading Henrik Karlsson this monthwriting
  5. Stop arguing, and start drawing circles togethermathematics
  6. The whole world is just the snake eating its own tailmental-models
  7. Life lessons and hot takes from my 30slifestyle
  8. Building a skill for coherent science illustrationsscience
  9. My agentic engineering workflow (step by step)agentic-coding
  10. Hammock driven developmentagentic-coding
  11. Peculiar ways number three fits into our funny little brainsmental-models
  12. AI sandwich as a defacto principle for anything agentic engineering relatedagentic-coding
  13. Authority in the guise of evidencecritical-rationalism
  14. Map is not the territoryphilosophy
  15. Self hypnosis as a manifestation ritualmeditation
  16. Hegelian dialectic for structured reasoning with AI agentsphilosophy
  17. How I prepare for tough negotiations nowadaysnegotiation
  18. When should we steelthread somethingproduct-development
  19. Breadboarding, shaping, slicing, and steelthreading solutions with AI agentsproduct
  20. Healthy conflict in teams have a tipping pointteam-building
  21. How I deslopify AI writingwriting
  22. How I started building softwares with AI agents being non technicalagentic-coding
  23. Read raw transcriptswriting
  24. Legible and illegible tasks in organisationsproduct
  25. L2 Fat marker sketchesdesign
  26. Writing as moats for humanswriting
  27. Beauty of second degree probesdecision-making
  28. Boundary objects as the new prototypesprototyping
  29. One way door decisionsproduct
  30. Finished softwares should existproduct
  31. How I periodically rank my rough draftsobsidian
  32. Flipping questions on its headinterviewing
  33. Vibe writing maximswriting
  34. How I blog with Obsidian, Cloudflare, AstroJS, Githubwriting
  35. How I build greenfield apps with AI-assisted codingagentic-coding
  36. We have been scammed by the Gaussian distribution clubmathematics
  37. Classify incentive problems into stag hunts, and prisoners dilemmasgame-theory
  38. I was wrong about optimal stoppingmathematics
  39. Thinking like a shipmental-models
  40. Hyperpersonalised N=1 learningeducation
  41. New mediums for humans to complement superintelligenceagentic-coding
  42. Maxims for AI assisted codingagentic-coding
  43. Virtual bookshelvesaesthetics
  44. It's computational and AI everythingagentic-coding
  45. Public gardens, secret routesdigital-garden
  46. Git way of learning to codeagentic-coding
  47. Style Transfer in AI writingagentic-coding
  48. Understanding codebases without using codeagentic-coding
  49. Vibe coding with Cursoragentic-coding
  50. Virtuoso Guide for Personal Memory Systemsmemory
  51. Writing in Future Pastwriting
  52. Publish Originally, Syndicate Elsewhereblogging
  53. Poetic License of Designdesign
  54. Idea in the shower, testing before breakfastsoftware
  55. Technology and regulation have a dance of ice and firetechnology
  56. How I ship "stuff"software
  57. Writing is thinkingwriting
  58. Song of Shapes, Words and Pathscreativity
  59. How do we absorb ideas better?knowledge
  60. Read writers who operatewriting
  61. Brew your ideas lazilyideas
  62. Trees, Branches, Twigs and Leaves — Mental Models for Writingwriting
  63. Compound Interest of Private Noteswriting
  64. Conceptual Compression for LLMsagentic-coding
  65. Meta-analysis for contradictory research findingsdigital-health
  66. Proof of workproduct
  67. Gauging previous work of new joinees to the teamleadership
  68. Task management for product managersproduct
  69. Beauty of Zettelswriting
  70. Stitching React and Rails togetheragentic-coding
  71. Exploring "smart connections" for note takingwriting
  72. Deploying Home Cooked Apps with Railssoftware
  73. Repetitive Copypromptingwriting
  74. Questions to ask every decadejournalling
  75. Balancing work, time and focusproductivity
  76. Hyperlinks are like cashew nutswriting
  77. Brand treatments, Design Systems, Vibesdesign
  78. How to spot human writing on the internetwriting
  79. Can a thought be an algorithm?product
  80. Opportunity Harvestingcareers
  81. Everything is a prioritisation problemproduct
  82. How I do product roastsproduct
  83. The Modern Startup Stacksoftware
  84. In-person vision transmissionproduct
  85. How might we help children invent for social good?social-design
  86. The meeting before the meetingmeetings
  87. Design that's so bad it's actually gooddesign
  88. Lessons learnt interview prepping for product rolesinterviewing
  89. Obsessing over personal websitessoftware
  90. English is the hot new programming languagesoftware
  91. Better way to think about conflictsrisk-management
  92. The role of taste in building productsdesign
  93. Dear enterprises, we're tired of your subscriptionssoftware
  94. Products need not be user centereddesign
  95. World's most ancient public health problemsoftware
  96. Pluginisation of Modern Softwaredesign
  97. Let's make every work 'strategic'consulting
  98. Making Nielsen's heuristics more digestibledesign
  99. Startups are a fertile ground for risk takingentrepreneurship
  100. Insights are not just a salad of factsdesign
  101. Minimum Lovable Productproduct
  102. Methods are lifejackets not straight jacketsmethodology
  103. How to arrive at on-brand colours?design
  104. Minto principle for writing memoswriting
  105. Importance of Whytask-management
  106. Quality Ideas Trump Executionsoftware
  107. Why I prefer indie softwareslifestyle
  108. Use code only if no code failscode
  109. Self Marketing
  110. Personal Observation Techniquesdesign
  111. Design is a confusing worddesign
  112. A Primer to Service Design Blueprintsdesign
  113. Rapid Journey Prototypingdesign
  114. Visualise detailed file structures on CLIcli
  115. Do's and Don'ts of User Researchdesign
  116. Design Manifestodesign
  117. Complex project management for productproducts
  118. How might we enable patients and caregivers to overcome preventable health conditions?digital-health
  119. Pedagogy of the Uncharted — What for, and Where to?education
  120. Future of Equity with Ludovick Petersinterviewing
  121. Future of Ageing with Mehdi Yacoubiinterviewing
  122. Future of Tacit knowledge with Celeste Volpiinterviewing
  123. Future of Mental Health with Kavya Raointerviewing
  124. Future of unschooling with Che Vanniinterviewing
  125. Future of Rural Innovation with Thabiso Blak Mashabainterviewing
  126. Future of work with Laetitia Vitaudinterviewing
  127. How might we prevent acquired infections in hospitals?digital-health
  128. The why to endure any howentrepreneurship
  129. Design education amidst social tribulationsdesign
  130. How might we assist deafblind runners to navigate?social-design