Consumer AI

Extracted Attributes

• Field

  Artificial Intelligence, Generative AI, Machine Learning

• Data Sources

  Publicly available data, user interactions, social media, e-commerce data

• Future Trends

  Hybrid AI agents (on-device and cloud), on-device AI processing (NPUs in PCs/smartphones)

• Key Use Cases

  Personal assistance, entertainment, recommendation systems, personalized shopping, chatbots

• Primary Focus

  Enhancing individual user experiences

• Impact on Consumers

  Increased perception of innovation from tech providers, enables new product possibilities, reshapes daily life

• Strategic Advantages

  Distribution, Leapfrogging (continuous innovation), Specialization in AI models

• AI Consumer Packaged Goods (CPG) Market Value (2024)

  $2.46 billion

Timeline

• Mustafa Suleyman co-founded Inflection AI, a machine learning and generative AI company. (Source: wikipedia)

  2022-XX-XX

• A McKinsey survey revealed that 65% of organizations regularly used generative AI, nearly doubling from the previous year. (Source: web_search_results)

  2024-XX-XX

• The AI consumer packaged goods (CPG) market value soared to $2.46 billion. (Source: web_search_results)

  2024-XX-XX

• More than half of PCs and two-thirds of smartphones are expected to ship with Neural Processing Units (NPUs) to enable on-device AI. (Source: web_search_results)

  2026-XX-XX

Mustafa Suleyman

Mustafa Suleyman (born 1984) is a British artificial intelligence (AI) entrepreneur. He is the CEO of Microsoft AI, and the co-founder and former head of applied AI at DeepMind, an AI company which was acquired by Google. After leaving DeepMind, he co-founded Inflection AI, a machine learning and generative AI company, in 2022.

Web Search Results

• Industry AI vs Consumer AI: Key Differences and Applications

  ## The Prominent Role of Consumer AI Consumer AI encompasses technologies designed for individual users, enhancing experiences in retail, entertainment, and health. A McKinsey survey in 2024 revealed that 65% of organizations regularly used generative AI, nearly doubling from the previous year due to the demand for personalized customer experiences and efficiency improvements. ### Key Developments in Consumer AI: [...] | | | | --- | Feature | Consumer AI | Industrial AI | | Primary Use | Personal assistance, entertainment, recommendation systems | Automation, optimization, predictive maintenance | | Data Sources | Utilizes publicly available data to cater to general user needs like User interactions, social media, e-commerce data | Utilizes proprietary business data from IoT sensors, machine logs, operational data to address specific organizational challenges | [...] The AI consumer packaged goods (CPG) market value soared to $2.46 billion in 2024, illustrating AI’s growing dominance in the consumer sector.

• What Is the Difference Between Consumer AI and Enterprise AI?

  Consumer AI unfolds in two distinct dimensions: a) understanding customer behavior to improve Customer Experience (CX); b) leveraging data to enhance products. Early adopters, exemplified by tech giants like eBay, have witnessed substantial gains. By analyzing extensive data sets, eBay achieved a breakthrough in personalization, scaling it to every customer based on profound insights derived from 500 metrics and 50 petabytes of data. [...] ### 1. What is Consumer AI? Consumer AI refers to artificial intelligence technologies designed to enhance individual user experiences. Examples include virtual assistants like Siri and Alexa, personalized shopping recommendations, and AI-powered chatbots that interact with consumers on websites and apps. ### 2. What is Enterprise AI? [...] | Feature | Consumer AI | Enterprise AI | --- | Primary Focus | Enhancing customer experience (CX) and personalizing user interactions. | Optimizing organizational processes, achieving business outcomes, and solving complex enterprise challenges. | | Target Audience | Individual consumers and end-users. | Organizations, enterprises, and corporate decision-makers. |

• Consumer AI's tipping point - Bessemer Venture Partners

  We’re looking for companies that are solving existing consumer problems through exceptional AI-driven automation, offering solutions at radically lower price points than non-automated alternatives, and making traditional enterprise software capabilities available to individuals and end users. We’re excited to see this once-in-a-generation consumer era take off, as entrepreneurs are reimagining the ways we all live, play, and connect differently with the power of AI. [...] We expect to see a similar consumer trend in the coming years—this time enabled by AI. Foundation models allow companies to build AI solutions that process data from consumers, facilitate interactions through conversational interfaces, and trigger workflows to automate key tasks for consumers. In the future, AI could address core and supporting workflows typically done by professionals such as travel agents, financial advisors, fitness instructors, etc. [...] We believe we’re on the brink of a new wave of consumer earthquakes, this time driven by AI-native products. Startups like Anthropic, Perplexity, and DeepL are creating experiences so magical and differentiated that they’re garnering considerable organic adoption. This suggests that AI advancements could serve as both the seismic force creating new product possibilities and the distribution vector, paving the way for the next generation of consumer juggernauts.

• AI gets personal: A glimpse into the consumer future

  For tech vendors: This creates a market for monitoring, auditing, and security solutions tailored to consumer AI applications. These trends point to a future where AI isn’t just something consumers use; it’s something they live with. For B2C brands, that means building more human, responsive, and resilient connections with customers. For technology vendors, it’s an unprecedented chance to help those brands deliver on the promise of AI at scale. [...] The next generation of consumer devices will feature hybrid AI agents, working both on-device and in the cloud. This model balances privacy, performance, and personalization, enabling smarter, more responsive experiences without always needing to phone home. It’s a major leap forward in how AI integrates into daily life. More than half of PCs shipping next year (and more than two thirds of smartphones) will have NPUs to enable on-device AI. [...] AI isn’t just transforming businesses, it’s quietly reshaping the consumer experience in ways that are more personal, emotional, and surprising. For B2C brands, this evolution brings both new opportunities to engage customers and new expectations to meet. For technology vendors, it opens up a fast-growing market to empower brands with the tools, platforms, and infrastructure they’ll need to compete.

• 2025 Connected Consumer: Innovation with trust

  Consumers who engage with gen AI—whether through apps, devices, or dedicated tools—are significantly more likely to perceive their tech providers as highly innovative. Among general consumers surveyed, only 50% to 56% say their app, service, or device providers deliver high innovation (figure 8). But those numbers rise among gen AI users: Sixty-one percent of consumers using gen AI-embedded apps,274% of those with gen AI-enabled devices, and 73% of regular gen AI users rate their providers as