Mo Gawdat: Prep for AI's FACE RIP by Building Agile Now
AI will automate innovation and jobs in 2-3 years, peaking in 2027 with economic upheaval—learn skills, pivot like squash, and build ethical AI startups to survive the coming 'hell' phase.
FACE RIP: AI's Seven Dimensions of Dystopia
Mo Gawdat, former Google X chief business officer, outlines 'FACE RIP' as the framework for AI's disruptive forces peaking around 2027: Freedom/Power, Reality/Connection, Innovation/Economics, and overarching Accountability. Innovation ends as 'AI is our last innovation'—AIs now build AIs, reinvent math, decode biology, and master materials science, handing all intelligent tasks to machines. Every job AI outperforms humans at will vanish, starting with monotonous roles like call centers, clerks, accountants, and assistants, then mid-level ops and even CEOs via AGI.
Economics collapses without labor: capitalism relied on labor arbitrage, but mass unemployment (10-30% in sectors soon) forces UBI debates. Platform owners, taxed to fund it, resist paying for 'non-producers,' sparking struggles and demanding new economic theories for AI-generated supply without human demand. US economy, 70% consumption, implodes without buyers. Power concentrates like historical shifts—from hunters to farmers to industrialists to tech oligarchs—now AI controllers redefine humanity with god-like influence.
Reality blurs as AI fakes feeds, films, dating profiles (Gawdat's story: 6-week AI-generated affinity via texts/photos/voice), porn, and influencers erode human connection, pacifying unrest. Accountability vanishes in a 'do whatever you want' world—unaccountable influencers, presidents, or 'Californian disruptors' like Sam Altman impose futures unasked, fueling surveillance, autonomous weapons, and trading arms races.
"AI is our last innovation right... we are already building AIs that are building AIs."
2-3 Year Job Market Shockwave
Gawdat predicts massive shifts within 2-3 years: new grad hiring down 23-30% as juniors become AI tasks. Middle managers follow, re-entering as 'new grads' in a squeezed market. Complex roles resist temporarily due to 'stupid human interfaces,' but AI adapts fast via tech acceleration—core tech first, then interfaces. Monotonous jobs go first; even entrepreneurs delegate tasks but hire for integration.
Post-2027: 10-12 years of 'hell' (arms race, control via data/behavior) before utopia. Interviewer notes personal stakes—running YouTube channels, constant travel—highlighting privacy erosion, tying into ad for Surfshark VPN.
"Within the next 2 to 3 years, you're going to see a massive shift in the jobs market."
Squash Over Chess: Entrepreneurial Agility
Past entrepreneurship was chess—foresee futures others missed. Now it's squash: daily trends, tiptoe agility, weekly pivots. Gawdat's AI startup Emma (love/relationships via million-parameter matching) built in 6 weeks with 2-3 engineers + 8 AIs, vs. 4 years/350 engineers in 2022. Launching Feb 2026 after 6 rewrites; 'everyone now has a chance' as an 'old geek.'
AI spots market gaps (e.g., Amazon-style supply/demand), launches products—entrepreneurs counter by building ethical AI solving billion-person problems (Larry Page's 'toothbrush test': twice-daily use). Pivots: Emma shifted 4x in 4 weeks. AGI hits CEOs too, per Max Tegmark anecdote—productivity chasers blind to full automation.
Economy forces 'communist way' to sustain consumption, as businesses need buyers.
"The skill of an entrepreneur in the past was... a game of chess... This has turned into squash."
Augment Intelligence, Don't Outsource It
Gawdat co-authored 'Alive' (end-2025) with AI 'Trixie'—readers connected to both human experience and AI research edge. Use AI for non-human strengths: crunch data, speed-search; humans handle intelligence. Pit models against each other—Gemini (scientist-like), DeepSeek (contextual), ChatGPT (elegant)—like engineering school: calculators halved solve time, but Gawdat verified twice.
"AI is going to make you dumb if you outsource your problem solving to AI. AI is going to make you the smartest you've ever been if you... get the AI to do the work so that you do the intelligence."
Education ends: it was tech for learning (tutor to online); now outsource to AI. Stop gullibility—propaganda on steroids confuses feeds. Question deeply; Google 2016 avoided truth-monopoly, unlike 2023 LLMs. Business idea: comparator chat.
Ethical AI as Survival Path
Build 'good AI' fixing world ethically—what we teach AI, it returns. Gawdat chose Emma for positive impact (unicorn potential). Leaders like Google execs values-driven, but unchecked disruption risks all.
"Ethics, ethics is the answer... Because what we teach AI, that's what it's going to give back to us."
Key Takeaways
- Learn AI skills immediately—monotonous jobs vanish first, mid-level next in 2-3 years.
- Pivot weekly like squash: track daily trends, build fast with few engineers + AIs.
- Target billion-person problems ethically (toothbrush test) for riches and impact.
- Augment brain: use AI for data crunching/search, verify outputs by pitting models (Gemini + DeepSeek + ChatGPT).
- Question everything—propaganda amplifies; find truth amid fakes.
- Protect privacy now (VPNs) as data fuels control.
- Co-create with AI: human stories + AI research for authentic edge.
- Prepare for UBI/economic rethink—build before consumption collapses.
- Shun hype: agility > foresight in AI era.
- Aim utopian: survive 10-12 year hell via mindset shift.