By the WahLiao desk · Last verified 1 October 2026
Nobody knows what Super Intelligence, the kind of AI behind ChatGPT, Claude and Gemini, will look like in 2030, but the forecasts can be sorted. The fairly safe bets: more capable agents, Super Intelligence built into most apps and phones (IDC expects about 70% of smartphones shipped in 2028 to be able to run it on the device), and cheaper access. The contested ones: human-level “AGI” by 2030, mass job loss, and a productivity boom. On jobs, the World Economic Forum’s employers expect 170 million jobs created and 92 million displaced worldwide by 2030; on growth, serious estimates range from Goldman Sachs’ 7% lift to global GDP over ten years to MIT economist Daron Acemoglu’s under 0.66% productivity gain over the same period.
The most useful rule for a household: plan for the likely, not the loud. Build skills, keep your scepticism, pay for one tool at most, and treat any confident date for “AGI” as an opinion, not a schedule.
AI to 2030: quick facts
| Jobs (WEF, Jan 2025) | 170 million created, 92 million displaced by 2030: a net 78 million, per employers surveyed |
| Jobs exposed (IMF, Jan 2024) | Almost 40% of global employment; about 60% in advanced economies; roughly half of those may benefit |
| Growth range | From under 0.66% productivity over ten years (Acemoglu) to +7% global GDP over ten years (Goldman Sachs) |
| Agents (Gartner, Jun 2025) | 15% of day-to-day work decisions made autonomously by 2028, but over 40% of agent projects cancelled by end-2027 |
| AGI by 2030 | Google DeepMind’s chief puts it around 50/50; others say today’s approach will never get there |
| Singapore | National AI Council chaired by the Prime Minister; four National AI Missions; over S$1 billion for public AI research and talent, 2025 to 2030 |
The WahLiao Verdict
| Safe bet | It will be in every app and phone you already own. |
| Coin toss | AGI by 2030. Do not plan your life around it. |
| Watch closely | Entry-level office jobs. The early squeeze is showing there first. |
| Ignore | Anyone quoting one number for “jobs lost to AI”. |
| Do now | Learn one tool properly, pay for one plan at most, question everything it says. |
What is reasonably expected
Agents, tools that carry out tasks rather than just answer questions (see AI agents explained), are improving quickly. The Stanford AI Index 2026 reports that on one computer-use benchmark, OSWorld, agent accuracy rose from roughly 12% to 66.3%, close to human level, yet agents still fail about one in three attempts on structured tests. Gartner forecasts that a third of enterprise software will include agentic features by 2028, while also predicting that over 40% of today’s agent projects will be scrapped by the end of 2027 for cost, unclear value or weak risk controls. Both can be true.
Super Intelligence in every app and device is the least controversial forecast. IDC expects 912 million phones able to run generative models on the device to ship in 2028, about 70% of the market. That does not mean you need a new phone for it; our guide to “AI” phones and laptops explains why.
Cheaper and more alike. The AI Index 2026 found the top models from six companies now sit within a narrow band on a popular head-to-head ranking, and says competition is shifting toward cost, reliability and usefulness. WahLiao’s read is that free and entry-level plans should keep getting better for the money, though no company has promised that.
Healthcare and education are where Singapore has committed to act. In schools, the Ministry of Education says Primary 1 to 3 pupils will not use chatbots for schoolwork, Primary 4 upwards will use Student Learning Space tools under supervision, and secondary students more independently.
What is contested
AGI timelines. Artificial general intelligence usually means a system as capable as a person across most tasks; it is different from our house name, and from the still-hypothetical “superintelligence” far beyond human ability (see AGI and superintelligence explained). Google DeepMind’s chief executive, Demis Hassabis, has put the chance of AGI by 2030 at about 50%, and at Davos in January 2026 said it may need “one or two more breakthroughs”. Yann LeCun, Meta’s former chief AI scientist, argues that today’s large language models will never reach human-level intelligence. When the field’s leaders disagree this much, nobody knows.
Mass job loss. The most alarming forecast came from inside the industry: in May 2025, Anthropic’s chief executive, Dario Amodei, told Axios that AI could wipe out half of all entry-level white-collar jobs and push unemployment to 10 to 20% within one to five years. The WEF’s employer survey points the other way, to net job growth, though 41% of employers said they plan to reduce staff where it can automate work, and about two-fifths of workers’ core skills are expected to change by 2030. Early evidence sits in between: the AI Index 2026 reports that employment of US software developers aged 22 to 25 has fallen by nearly 20% since 2024, a squeeze on juniors rather than a collapse. For Singapore’s picture, read Budget 2026 and your job.
A productivity boom. McKinsey estimated in 2023 that generative models could add US$2.6 trillion to US$4.4 trillion a year in value and lift productivity growth by 0.1 to 0.6 percentage points a year to 2040. Goldman Sachs forecast a 7% rise in global GDP over ten years. Acemoglu’s estimate is far smaller. The spread tells you these are models built on assumptions, not measurements.
Forecasts to 2030, and how far to trust them
| Prediction | Who says it | How confident | WahLiao’s read |
|---|---|---|---|
| 70% of smartphones shipped can run generative models on-device by 2028 | IDC, July 2024 | High: hardware roadmaps already set | Likely. You will get it with your next phone anyway. |
| 15% of day-to-day work decisions made by agents by 2028 | Gartner, June 2025 | Medium: analyst forecast | Plausible for routine tasks; watch the 40% cancellation rate too. |
| 170m jobs created, 92m displaced by 2030 | WEF Future of Jobs 2025 | Medium: employers’ own expectations | Reasonable base case. Churn, not collapse. |
| Almost 40% of jobs exposed; 60% in advanced economies | IMF, January 2024 | Medium: “exposed” is not “lost” | Singapore is an advanced economy. Expect your job to change. |
| Half of entry-level white-collar jobs gone, 10 to 20% unemployment in 1 to 5 years | Dario Amodei, Anthropic, May 2025 | Low: an individual warning | Worth hearing, not yet in the data. |
| +7% global GDP over ten years | Goldman Sachs, April 2023 | Low to medium: model estimate | Optimistic end of the range. |
| Under 0.66% productivity gain over ten years | Daron Acemoglu, MIT, 2024 | Low to medium: model estimate | Sceptical end. Truth may sit between. |
| About 50% chance of AGI by 2030 | Demis Hassabis, Google DeepMind | Low: depends on breakthroughs | A coin toss by his own account. |
What Singapore has committed to
These are commitments, not forecasts. The National AI Strategy 2.0, launched in December 2023, set a target to more than triple the number of AI practitioners here to 15,000. In the Budget 2026 statement on 12 February 2026, the government announced a National AI Council chaired by the Prime Minister, four National AI Missions in advanced manufacturing, connectivity and logistics, finance and healthcare, and a larger AI park at one-north. It also announced six months’ free access to a premium tool for people who complete selected courses (see the SkillsFuture offer) and a 400% Enterprise Innovation Scheme deduction on qualifying AI spending, capped at S$50,000 a year for Years of Assessment 2027 and 2028 (see grants for SMEs). On 20 May 2026, the Ministry of Digital Development and Information refreshed the strategy with ten priorities and noted over S$1 billion committed to public AI research and talent from 2025 to 2030. More in Singapore’s national plan.
How a household can prepare
Skills. Learn one general tool properly rather than dabbling in five. If you are a citizen aged 18 or over, an eligible course now comes with six months of a premium plan. Our 90-day learning path is free.
Scepticism. The AI Index 2026 notes the same top system that won gold at the International Mathematical Olympiad reads an analogue clock correctly only about half the time. Check anything that matters, and assume voice and video can be faked (see deepfake scams).
Savings on subscriptions. Free tiers cover most household needs. If you pay, pay for one: Google AI Plus is S$6.98 a month, while Google AI Pro and Microsoft 365 Premium are S$28.99 (see plans in S$). Review it once a year, since prices and plans change.
Children’s education. Follow the school’s pace. Reading, writing and working problems by hand still matter: they let a child judge when a machine is wrong. Our guide to children and Super Intelligence covers settings and ground rules.
AI in 2030: FAQ
Will AI take my job by 2030?
More likely it will change it. The IMF says almost 40% of jobs worldwide are exposed, and roughly half of those may benefit; the WEF’s employers expect net job growth. Entry-level office roles are where early pressure shows.
Will we have AGI by 2030?
Nobody knows. Google DeepMind’s Demis Hassabis puts it at about 50/50; Yann LeCun says current methods will never get there. Treat any firm date as opinion.
What is Singapore doing about AI?
A National AI Council chaired by the Prime Minister, four National AI Missions (advanced manufacturing, connectivity and logistics, finance, healthcare), a 15,000 AI practitioner target, and over S$1 billion for public AI research and talent to 2030.
Should I pay for an AI subscription to keep up?
Not necessarily. Free tiers cover most needs. If you do pay, pick one plan, or use the six months free after an eligible SkillsFuture course first.
Read next
This page belongs to Super Intelligence. That is the end of the series: go back to the Super Intelligence guide for every page, or start again with why WahLiao says Super Intelligence.
Sources checked 1 October 2026: World Economic Forum, Future of Jobs Report 2025; IMF, Kristalina Georgieva on AI and jobs; McKinsey Global Institute, economic potential of generative AI; Goldman Sachs, generative AI and global GDP; Daron Acemoglu, The Simple Macroeconomics of AI (NBER); Gartner, agentic AI predictions; IDC, generative AI smartphone forecast; Stanford HAI, AI Index 2026; Fortune, Hassabis, Amodei and LeCun at Davos 2026; Axios, Amodei on white-collar jobs; MDDI, National AI Strategy 2.0; Budget 2026, Harness AI as a strategic advantage; MDDI, refreshed NAIS priorities; MOE, preparing students for an AI-enabled world. General information, not financial or career advice. Last updated 1 October 2026.
