This week in AI: Gemini now produces Docs, Sheets, and Slides inline, Claude becomes the hub for creative and security workflows, and OpenAI's frontier models go multi-cloud.
The 'training costs alone forecast to exceed total revenue 2026 to 2028' claim is the headline, but Anthropic's 8 of Fortune 10 using Claude is the data point with longer-term implications for theaifounder.substack.com readers thinking about lock-in. Anthropic at $30B annualized vs. OpenAI at $25B is the cleanest enterprise-revenue comparison I've seen this year. Figure's 24x throughput jump in 120 days is the robotics number that buried the lede. Whose IPO first sets a benchmark that none of the others can hit, in your read?
OpenAI's training costs projected to exceed total revenue through 2028 while Anthropic holds 54% coding market share is the tension that makes the competitive dynamics hard to read. Anthropic's unit economics look structurally better, which makes the IPO timing question worth analyzing: do you go public before OpenAI to establish the valuation reference, or let OpenAI price-discover first and capture the premium? At theaifounder.substack.com I think about the application layer implications of which lab wins, and the coding market concentration matters. If 54% of that market sits with one supplier, enterprise procurement teams will force diversification regardless of quality. Which of Google's moves this cycle do you think most threatens Anthropic's coding moat?
The 'training costs alone forecast to exceed total revenue 2026 to 2028' claim is the headline, but Anthropic's 8 of Fortune 10 using Claude is the data point with longer-term implications for theaifounder.substack.com readers thinking about lock-in. Anthropic at $30B annualized vs. OpenAI at $25B is the cleanest enterprise-revenue comparison I've seen this year. Figure's 24x throughput jump in 120 days is the robotics number that buried the lede. Whose IPO first sets a benchmark that none of the others can hit, in your read?
OpenAI's training costs projected to exceed total revenue through 2028 while Anthropic holds 54% coding market share is the tension that makes the competitive dynamics hard to read. Anthropic's unit economics look structurally better, which makes the IPO timing question worth analyzing: do you go public before OpenAI to establish the valuation reference, or let OpenAI price-discover first and capture the premium? At theaifounder.substack.com I think about the application layer implications of which lab wins, and the coding market concentration matters. If 54% of that market sits with one supplier, enterprise procurement teams will force diversification regardless of quality. Which of Google's moves this cycle do you think most threatens Anthropic's coding moat?