For updates and corrections, email newsroom[at]stocktwits[dot]com.<\/p>\n
Palo Alto Networks Chief Executive Officer Nikesh Arora stated that the cost of running artificial intelligence must decline dramatically before corporations can fully integrate and scale.<\/p>\n
Enterprise adoption of artificial intelligence tools is hitting budget walls, requiring a pricing drop of up to 90% over the next two years, Arora told CNBC in a televised interview.\u00a0While OpenAI\u2019s newest models offer over 50% better token efficiency for advanced agentic coding tasks, tech leaders argue that per-token infrastructure costs remain too high for unlimited enterprise experimentation.\u00a0Escalating enterprise AI expenditures are driving some organizations to seek cheaper tools, including Chinese alternatives.<\/p>\n
Artificial intelligence token prices must plunge by as much as 90% before the technology can achieve widespread, sustainable enterprise adoption according to Palo Alto Networks Chairman and CEO Nikesh Arora.<\/p>\n
Speaking on CNBC\u2019s “Squawk on the Street,” on Thursday, Arora emphasized that while current artificial intelligence capabilities feature immense demand, the ongoing financial toll on corporate budgets remains a significant bottleneck for Chief Information Officers (CIOs) worldwide.<\/p>\n
Palo Alto (PANW) stock jumped about 5%, while Gemini Owner Alphabet (GOOG) (GOOGL) share price eased about 1.5% at the time of writing.\u00a0<\/p>\n
Efficiency Vs. Scale<\/p>\n
Arora\u2019s comments came in response to recent announcements from leading AI providers, including OpenAI\u2019s claims that its newer models achieved a 54% gain in token efficiency for complex agentic workflows. While the cybersecurity executive welcomed the development as a positive trend, he maintained that it is merely “a good start.”<\/p>\n
According to Arora, token pricing models must compress further to match enterprise needs. He projected that prices must fall to at least 20% of their current levels over the next 12 months, followed by an overall 90% reduction by the second year.<\/p>\n
The costs of integrating AI in daily workflows seem to be building up quite a bill. Rather than freely experimenting with workflow reimagination, many businesses are either optimizing existing investments or seeking alternative avenues.\u00a0<\/p>\n
For instance, coffee chain maker Starbucks announced on Thursday its plans to build its own AI tools to support daily tasks.\u00a0<\/p>\n
AI Token Pricing: Overview\u00a0<\/p>\n
The primary framework driving enterprise AI software expenditure relies on pay-as-you-go developer models, measured in millions of tokens.\u00a0<\/p>\n
AI Provider & Model TierInput Cost (Per 1M Tokens)Output Cost (Per 1M Tokens)OpenAI (gpt-5.5 standard)$5.00$30.00Anthropic (Claude 3.5 Sonnet)$3.00$15.00OpenAI (gpt-5.4 standard)$2.50$15.00Anthropic (Claude 3 Opus)$15.00$75.00PANW Stock: Retail View\u00a0<\/p>\n
Retail sentiment on Stocktwits was \u2018neutral\u2019 with \u2018normal\u2019 message volumes. Retail chatter around the stock has risen about 6% over the past week and over 50% over the past month.\u00a0<\/p>\n
PANW stock has gained 64% over the past year.\u00a0<\/p>\n
Read More: SBUX Stock Set For Best Day In Two Months \u2014 Starbucks Steps Up AI Push To Cut Reliance On MSFT, IBM<\/a><\/p>\n For updates and corrections, email newsroom[at]stocktwits[dot]com.<\/p>\n
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