AI Adoption | by 2030
AI-Driven New Business Formation
Weighted average across 6 sources. Observed so far: ~12.4% (4 measurements from Yale Budget Lab, Brookings, Dallas Fed, BLS). Projections range 12–15% (median ~13.5%).
New firm creation in AI-compatible industries has increased an estimated 12.3% since ChatGPT's release in late 2022. The strongest causal evidence comes from Marchesi & Tang (2025, U of Chicago Booth), who use a difference-in-differences design exploiting variation in industry-level AI compatibility. The mechanism is reduced cost of experimentation: AI tools lower the barrier to testing business ideas, disproportionately benefiting high-ability entrepreneurs. Solo-founder share of new startups has risen from 23.7% to 36.3% over the same period (Carta). Notably, these new AI-era firms survive at higher rates and grow faster than peers, suggesting this is quality entrepreneurship, not noise.
Blended estimate across 6 sources ranging 5.5–24%. Higher-tier evidence and more recent data are weighted more heavily. See the full methodology for details on weighting, source validity, and recency bias.
Observed Data & Projections
This prediction has two fundamentally different types of evidence: observed employment data (what has actually happened) and forward-looking projections (what researchers estimate will happen). They are shown separately below because they answer different questions.
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What has happened
Measured employment data from government statistics, large-scale surveys, and administrative records. This is ground truth: what has actually occurred in the labor market.
Each dot is a different measurement source. Click any dot to jump to its source below.
What researchers project
Forward-looking estimates from structural models, institutional surveys, and expert forecasts. All projections target by 2030, shown by the reference line. The wide range (12–15%) reflects different model assumptions about reinstatement effects, demand elasticity, and adoption speed, not just parameter uncertainty.
Each dot is a different projection source. The x-axis shows when the projection was published. Click any dot to jump to its source. Overlay bars show directional signals from related studies.
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Full Economy Picture
AI and the US Economy
Automation impact by occupation and income tier.
Sources (16)
NBER (Horton et al.): AI agents collapse transaction costs, expanding feasible market designs
The activities that comprise transaction costs—learning prices, negotiating terms, writing contracts, and monitoring compliance—are precisely the types of tasks that AI agents can potentially perform at very low marginal cost. Once agents can indeed execute these functions effectively and cheaply, we will see significant shifts in the traditional make-or-buy boundaries that define firm organization and market structure.
a16z/BofA: New businesses elevated but not hiring; SMB tech spend surging, payroll flat
New business applications remain elevated but 'high propensity to hire' applications are in decline. SMBs are rapidly increasing tech spend (including AI) while payroll spend is flat or declining — consistent with AI-native solopreneurs substituting software for labor.
Industries more compatible with AI experienced an increase of over 10% in firm formation following ChatGPT's release. New firms are more likely to survive, grow faster, and attract more educated workers. Mechanism: reduced cost of experimentation disproportionately benefits high-ability entrepreneurs.
MIT/BCG: 45% expect middle management reductions from agentic AI
Among organizations with extensive agentic AI adoption, 45% expect reductions in middle management layers. Fewer people manage more workers; human managers increasingly orchestrate hybrid human-agent teams.
SBA: Small-firm AI adoption pace rising; gap with large firms narrowing
39% of US adults used AI by August 2024. Small-firm adoption pace continues rising. Firms with 250+ employees at 11% usage; smallest firms (1-4 employees) at 7%.
Carta: Solo founders reach 36.3% of new startups in H1 2025
Solo-founder share of new startups rose from 23.7% (2019) to 36.3% (H1 2025). Solo-led companies received only 14.7% of priced equity cash in 2024 despite being 30% of startups. Acceleration from 30.5% to 36.3% in 2024-2025 coincides with AI coding assistants going mainstream.
Exposed startups increased productivity, scaled faster, accelerated through financing rounds. VC shifted toward frequent, smaller investments, boosting new firm formation.
GenAI boosts innovation by enhancing idea generation, accelerating R&D, and fostering entrepreneurship by lowering entry barriers. Effectiveness depends on user experience and task type.
QuickBooks: 68% of small businesses now use AI regularly (up from 48%)
68% of small businesses now use AI regularly (up from 48% in July 2024). 74% say AI makes them more productive (up from 46%). 28% use AI daily. Survey of 2,200+ US businesses.
Bao/Lou/Sun: STEM incorporated entrepreneurship rises post-ChatGPT
GenAI access leads to increased incorporated entrepreneurship for individuals with higher GenAI exposure -- effect specific to STEM population. Mechanism tests support the augmentation channel over the automation/displacement channel.
GEM: <30% of entrepreneurs in 36/49 economies see AI as very important
In 36 of 49 economies, fewer than 30% of early-stage entrepreneurs consider AI 'very important.' Growing 'Survival Gap' and expanding 'AI Readiness Gap' separating entrepreneurs with AI access from those without.
JEBO: AI chatbot dev demand tripled; ML programming +24% (3M+ postings)
Analysis of 3M+ job postings. Demand for substitutable skills (writing, translation) decreased 20-50%. ML programming demand grew 24%. AI chatbot development demand nearly tripled.
HBS RCT: No avg effect of GPT-4 on entrepreneurs; high performers +20%, low -10%
5-month RCT with 640 Kenyan entrepreneurs using GPT-4 via WhatsApp. No average treatment effect, but high performers benefited by ~20% while low performers did ~10% worse. Divergence driven by task selection, not advice quality.
J. Finance: AI professor startups raise $23M avg in <2 years; 20% acquired
AI professors' startups raise $23M on average in less than 2 years; 20% are acquired within ~3.5 years. Documents AI professor brain drain from universities (2004-2018).
Labor-augmenting AI technologies enable self-employment among high-skilled workers. Labor-saving technologies reduce self-employment likelihood. Workers exposed to labor-augmenting tech more likely to transition to solo self-employment.
New business applications hit record 5.4 million in 2021, a 24% increase over the 2019 pre-pandemic baseline of 4.4 million. The surge was driven by pandemic-era shifts in work patterns and low interest rates.
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