Observed Signal · Sep 21, 2022 · Industry Analysis · Source: CMSWire · Impact: 3/5 · Sentiment: Positive
Conversational AI to Cut Contact Center Labor Costs, Gartner Says
Conversational AI is rapidly gaining ground in contact centers, according to a September 2022 CMSWire feature. Gartner predicts contact centers will spend nearly $2 million on conversational AI enhancements in 2022 and estimates $80 billion in labor-cost reductions within four years. Replacing a human agent with a conversational AI voice assistant costs between $1,000 and $2,000 per agent, Gartner says. Industry leaders like Skit.ai CEO Sourabh Gupta argue AI augments human agents rather than replacing them. The article highlights significant venture funding in the space: PolyAI closed a $40 million Series B, Aisera raised $90 million Series D, Invoca raised $83 million Series F, and Observe.AI has raised $213 million total. Gartner VP analyst Daniel O'Connell expects measured adoption and sustained demand for human agents for complex interactions.
Reported Gartner forecast and multiple funding rounds highlight substantial enterprise investment in conversational AI, a significant area of MarTech/CX technology.
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Key Takeaways & Evidence Grounding
- Gartner predicted contact centers would spend nearly $2 million on conversational AI enhancements in 2022 and expects an $80 billion reduction in labor costs within four years.
- Gartner estimated the cost to replace a human agent with a conversational AI voice assistant at $1,000-$2,000 per agent.
- PolyAI closed a $40 million Series B funding round in September 2022, bringing total funding to $70 million at a valuation of nearly $300 million.
- Aisera raised $90 million in Series D funding in August 2022.
- Invoca raised $83 million in Series F equity funding in June 2022; Observe.AI has raised $213 million total as of its 2022 Series C.
Connected Companies & Entities
5 Entities mapped“In a new report, Gartner predicts contact centers will spend nearly $2 million on conversational AI enhancements this year — and that invest...”
“In September, PolyAI, a company that refers to its voice assistants as 'superhuman,' closed a $40 million Series B funding round bringing th...”
“Observe.AI, a conversation intelligence platform for contact centers, has raised $213 million in funding, with its latest round of Series C ...”
“In June, Invoca, a conversational AI startup, raised $83 million in Series F equity funding....”
“CMSWire recently reported that according to a PWC survey, nearly 80% of American consumers say that speed, convenience/ease-of-use, knowledg...”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Verndale Launches AI Visibility & Content Supply Chain Services
Verndale, a digital consultancy, has introduced new services to help marketers measure and improve their brand's visibility in AI-generated answers. As AI assistants like ChatGPT and Google's AI Overviews increasingly influence research and buying decisions, brands need to know whether they are mentioned, recommended, and correctly described in these responses. Verndale's services include an AI Visibility assessment that tests real audience questions across major AI platforms, identifying gaps in brand mentions and citations. They also offer an AI-Ready Content Supply Chain Assessment to optimize content operations for AI-era discoverability. The company cites research from SparkToro showing 68% of Google searches end without a click, and Gartner reporting 45% of B2B buyers use generative AI for purchase research. A case study with Quinnipiac University demonstrated significant improvements in content optimization and AI readiness through governed agent workflows.
OK Future's AI 'Pressure Cooker' Campaign for Goodwipes
Former MullenLowe U.S. CEO Frank Cartagena launched creative shop OK Future to test generative AI's potential for a small agency. Their first project, a spoof of OpenAI's Astra ad for personal hygiene brand Goodwipes, was produced in four days using AI tools like ArtCraft, Seedance, and OpenAI's Astra model, cutting projected production costs from $700,000. The campaign, 'Meet Asstra,' gained over 1.5 million views on Reddit. However, Cartagena described the pace as 'unsustainable' and a 'pressure cooker,' with team members working around the clock and even threatening to quit. Goodwipes' SVP of Marketing, Meredith Diehn, emphasized trust in Cartagena and the value of experimenting with AI. The article highlights the growing use of AI in creative production, with 73% of marketers using GenAI for visual content and Gartner forecasting AI software spending to reach $981 billion by 2029.
AI Startups Face Pricing Power Squeeze from Model Suppliers
An analysis by Trending Topics highlights a structural challenge for AI startups: they often act as token resellers with thin margins, akin to middlemen, rather than classic software businesses. Using a fictional sports app example, the piece illustrates how costs for app store fees, token consumption, and free-tier AI features can erode profits. Citing a market study, it notes inference costs average 23% of revenue for scaling AI firms, with gross margins around 52% versus 78-80% for traditional SaaS. The article discusses how providers like OpenAI and Anthropic hold pricing power, and some startups, like Cursor, invest heavily in own infrastructure to reduce dependence, though this is often not feasible for most. Neoclouds are seen as not solving the fundamental dependency issue. However, a counterview suggests that rapidly falling inference costs could improve margins, and AI-native startups have already captured significant market share in some segments. The piece concludes with strategic advice for startups to focus on proprietary data, workflow integration, and cost optimization.
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