Enterprise AI Adoption In Manufacturing And Defense Will Redefine Standards

Key Takeaways

• Expanded partnerships and new programs are broadening C3.ai's reach, accelerating enterprise adoption, and enabling access to more customers across diverse industries.
  
• Improvements in leadership, customer satisfaction, and scalable solutions are boosting revenue predictability, client retention, and potential for greater margins.
  
• Ongoing revenue decline, margin pressure, partner dependency, and sales execution issues heighten uncertainty around C3.ai's future profitability and ability to scale efficiently.

Catalysts

Operates as an enterprise artificial intelligence (AI) application software company in North America, Europe, the Middle East, Africa, the Asia Pacific, and internationally.

• The rapid expansion of AI deployments across manufacturing, chemicals, defense, and government clients-demonstrated by fresh enterprise-wide commitments from Nucor, Qemetica, HII, and U.S. Army projects-signals accelerating enterprise adoption of advanced AI platforms, which is expected to drive strong, multi-year revenue growth as adoption moves from pilots to broad production rollouts.
  
• Strategic integration with hyperscalers (90% partner-led deals, particularly with Azure, AWS, GCP) and systems integrators offers C3.ai an enlarged salesforce, broader go-to-market reach, and access to new customer bases, which should scale bookings and top-line revenue as joint-selling programs are ramped globally.
  
• The introduction of the Strategic Integrator Program and the open, agentic AI platform positions C3.ai to capitalize on the growing need for scalable, interoperable enterprise AI and regulatory-compliant solutions across industries, supporting both higher win rates and the ability to command premium pricing, thus benefiting both revenue growth and gross margins.
  
• Restructuring of sales and services organizations with new, experienced leadership and the appointment of a dedicated Chief Commercial Officer and CEO are expected to resolve recent sales execution issues, improve customer conversion rates from initial deployments to longer-term contracts, and create more predictable, recurring revenue streams and profitability over the medium to long term.
  
• Strong customer satisfaction, as suggested by industry-leading Net Promoter Scores and proven deployment success rates (contrasted with the high failure rate of industry LLM projects), enhance client retention and upsell opportunities, underpinning long-term revenue growth and margin expansion as referenceability and trust in C3.ai's solutions increase.

C3.ai Future Earnings and Revenue Growth

Assumptions

• Analysts are assuming C3.ai's revenue will grow by 16.4% annually over the next 3 years.
• Analysts are not forecasting that C3.ai will become profitable in next 3 years. To represent the Analyst Price Target as a Future PE Valuation we will estimate C3.ai's profit margin will increase from -74.2% to the average US Software industry of 13.1% in 3 years.
• If C3.ai's profit margin were to converge on the industry average, you could expect earnings to reach $80.3 million (and earnings per share of $0.5) by about September 2028, up from $-288.7 million today.
• In order for the above numbers to justify the analysts price target, the company would need to trade at a PE ratio of 56.0x on those 2028 earnings, up from -7.9x today. This future PE is greater than the current PE for the US Software industry at 36.6x.
• Analysts expect the number of shares outstanding to grow by 5.79% per year for the next 3 years.
• To value all of this in today's terms, we will use a discount rate of 8.48%, as per the Simply Wall St company report.

C3.ai Future Earnings Per Share Growth

Risks

• C3.ai reported a 19% year-over-year revenue decrease for the most recent quarter and withdrew previously issued financial guidance, signaling ongoing uncertainty in top-line performance and raising doubts about the consistency of future revenue growth and the company's ability to achieve non-GAAP profitability.
  
• Non-GAAP gross margin declined to 52% this quarter, primarily due to higher expenses related to initial production deployments, lower demonstration license revenue, and diminished economies of scale, which may foreshadow longer-term structural pressure on gross and operating margins.
  
• The company continues to report significant operating losses (non-GAAP operating loss of $57.8 million) and negative free cash flow, indicating persistent challenges in scaling the business profitably and heightening risks of ongoing net loss if revenue growth and margin improvement do not materialize.
  
• C3.ai remains highly reliant on partner-led sales (90% of deals this quarter) with hyperscalers like Microsoft Azure, AWS, and Google Cloud, raising potential vulnerability if these partners further integrate or prioritize their own low-cost competing solutions, thereby threatening C3.ai's competitive differentiation and contract win rates.
  
• Recent disruption from a broad restructuring of sales and service leadership-acknowledged as a principal cause of the poor quarter-exposes the company to prolongued execution risks and the potential for slower conversion of pilots to large, recurring deployments, dampening near-to-medium term revenue, customer retention, and earnings.

Valuation

• The analysts have a consensus price target of $21.75 for C3.ai based on their expectations of its future earnings growth, profit margins and other risk factors. However, there is a degree of disagreement amongst analysts, with the most bullish reporting a price target of $30.0, and the most bearish reporting a price target of just $13.0.
  
• In order for you to agree with the analyst's consensus, you'd need to believe that by 2028, revenues will be $613.6 million, earnings will come to $80.3 million, and it would be trading on a PE ratio of 56.0x, assuming you use a discount rate of 8.5%.
  
• Given the current share price of $16.68, the analyst price target of $21.75 is 23.3% higher.
  
• We always encourage you to reach your own conclusions though. So sense check these analyst numbers against your own assumptions and expectations based on your understanding of the business and what you believe is probable.