AI founders

A founder whose company is valued at two billion dollars is laying out how to build an AI company from scratch. In the discussion, Tanay Kothari walks through practical steps for launching an AI startup, drawing on his own experience scaling a business to a two-billion-dollar valuation. The conversation is drawing wide attention from aspiring entrepreneurs and the startup community interested in the current AI boom.

Startups selling AI coding agents are grappling with how to set subscription prices that cover heavy computing costs without deterring customers. The discussion, highlighted in business coverage, centres on balancing per-seat pricing, usage-based models, and margins in a fast-growing but expensive market. Founders and investors are weighing which pricing structures can keep AI coding tools profitable as competition intensifies.

IAE Business School is offering a three-day course titled "Building and Scaling AI-Native Startups," focused on how founders can create and grow companies built around artificial intelligence. Announced by Doug Levin, the program targets entrepreneurs looking to apply AI across product development and business scaling, adding to the growing range of executive education offerings on AI-driven entrepreneurship.

Climate technology startups in Washington state are securing new funding rounds even as the artificial intelligence boom pulls venture capital away from other sectors. The news highlights a growing tension for founders outside AI: investors are concentrating capital in a handful of AI companies, making fundraising harder for climate and clean-tech firms. The Washington founders' success stands out as a counterexample in a tightening market.

A 22-year-old San Francisco tech founder says she handed control of her personal finances to an AI assistant and saved $700 on the first day, a claim she describes as 'absurd' but says actually happened. The story has been picked up by Yahoo Finance and Moneywise, adding to a growing debate about whether AI tools can genuinely cut everyday spending or whether such savings are exaggerated.

Agent37, founded by Vishnu Krishnaprasad, is launching an affordable sandbox service that runs AI coding agents including Claude Code, Codex, Hermes and OpenClaw at a claimed 95% lower cost than running them independently. The startup is positioning itself as a budget-friendly infrastructure layer for developers working with autonomous coding tools, betting that cheaper agent execution will widen adoption.

SoftBank founder Masayoshi Son is chasing large-scale artificial intelligence investments that appear to exceed what the Japanese group's balance sheet can comfortably fund. The Financial Times reports that Son's outsized AI bets are raising questions about how SoftBank will finance them, given its existing debt load and reliance on asset sales, and whether the strategy can withstand a downturn in AI valuations.

Investors are pushing back against the flood of AI-focused startup pitches, arguing that genuine customer value matters more than riding the artificial intelligence hype cycle. The message for founders is clear: funding increasingly goes to companies solving real problems with measurable results, not those simply labeling themselves AI businesses to attract attention and capital.