New York – September 12, 2026 -- Artificial intelligence will put $4.7 trillion of global corporate profits at stake by 2035, more than tripling the $1.4 trillion profit shift triggered by the Internet over two decades, according to a new analysis from Bain & Company.
AI reshapes 71% of sectors versus 41% for the Internet
Bain's study of 92 individual sectors finds AI will structurally transform 71% of industries, compared with 41% during the Internet era, extending into physical production and knowledge work the earlier technology wave never reached, including industrial manufacturing, healthcare delivery and pharmaceutical R&D.
Productivity gains account for only 24% of the profit shift
Companies will retain roughly $1.1 trillion in new profits from AI-driven productivity improvements alone, representing just 24% of the total shift. The remaining 75% comes from innovation and competitive share changes, Bain reports.
Innovation drives the largest share at $2.2 trillion
New AI-enabled categories and incumbent innovation will generate $2.2 trillion in fresh profits, 47% of the total shift, as AI pulls broader swaths of the economy into digital business models. A further $1.3 trillion will move between competitors as AI redefines cost structures and capabilities that determine market leadership.
Four battleground clusters define winners and losers
Bain segments the $4.7 trillion opportunity into four clusters. The "Technology Foundation" cluster ($1.5 trillion) covers unavoidable demand for cloud infrastructure, semiconductors, data centers and AI foundation models. The "Rewired" cluster, also $1.5 trillion, is an open competitive race spanning pharma, biotech, healthcare delivery, aerospace and defense, financial-services payments, enterprise software, automotive manufacturing, advertising, consulting, corporate law, cybersecurity, logistics and machinery. "Augmentation" sectors, including hospitality, hold $1.3 trillion at stake as fast adopters squeeze margins from slower rivals. "Revolution" sectors such as customer support, IT services and online tutoring represent a smaller $0.3 trillion, as entire delivery models shift to AI-owned layers.
Bain warns two-year delays cannot be reversed by spending
Dunigan O'Keeffe, partner in Bain's Strategy & Transformation practice and lead author of the report, said speed compounds advantage because each AI deployment generates more data and rewired workflows that competitors cannot simply purchase. He said CEOs need a board-level commitment to act on where their industry is headed, since a company two years behind cannot buy its way back.
In the "Rewired" cluster, Bain finds incumbents with strong data, regulatory and scale advantages will entrench leadership if they move early, while hesitant players risk ceding value to AI-native entrants that erode traditional competitive moats.