Observed Signal · Sep 15, 2026 · Book Publication · Source: The Business Engineer · Impact: 2/5 · Sentiment: Positive
The Enterprise Buyer: A Book on Enterprise AI Purchasing
Gennaro Cuofano announces 'The Enterprise Buyer - The Book', focusing on how AI shifts the software industry toward enterprise buyers. In the digital era, software companies scaled by serving many small businesses, but AI enables small firms to build their own tools. Enterprises, with their complexity and budgets, are now central to AI adoption. The book offers guidance on buying enterprise AI, emphasizing that buyers must own the evaluation process, test AI on their own cases, and retain control over data and systems to avoid vendor lock-in. It advises starting with the buyer's actual workflows, not vendor demos, and measuring results independently. Key questions are whether the system works on the buyer's cases, what dependencies are created, and what remains owned after a year. The book aims to help buyers navigate AI procurement effectively.
The book provides strategic insights into enterprise AI adoption, which is relevant to MarTech/AI but not breaking news or industry-shifting.
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Key Takeaways & Evidence Grounding
- The book is titled 'The Enterprise Buyer' and is part of the Business Engineer series.
- The author is Gennaro Cuofano.
- The book focuses on AI adoption in enterprises and challenges of buying AI systems.
- It recommends buyers own the evaluation process and test AI on their own cases.
- The book emphasizes avoiding vendor lock-in by retaining ownership of data and systems.
- Published as premium content on Business Engineer newsletter.
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
AI Transforms Enterprise Sales From Software Capabilities to Outcomes
The Business Engineer has announced the launch of 'Enterprise Sales', a new book in its Foundation Series that explores how AI is systematically reshaping B2B technology sales. The book outlines how AI inverts traditional enterprise sales by shifting the focus from selling capabilities (such as seat licenses and platforms) to delivering direct, measurable work outcomes. Because AI increasingly executes tasks autonomously, standard metrics like seat count and software demos are collapsing, forcing vendors to align closer with actual business results and operate sales as systematic risk-reduction machines.
Enterprise AI Coordinate System
The article argues that Enterprise AI — not consumer AI — is the defining force in this phase of adoption and that the primary risk for large (and mid-sized) organizations is adopting AI incorrectly. Wrong adoption can erode competitive advantages, leak organizational knowledge, or hand control of critical capabilities to AI-native vendors. The author proposes an "agnostic enterprise AI harness": an architectural and organizational layer that permits modular integration of external models while preserving control of data, workflows, economics, and strategic differentiation. The piece emphasizes that technical architecture must align with organizational structures and stakeholders, and reframes vendor evaluation around where value pools and lock-in occur rather than product categories.
Enterprise AI Buying: Roadmaps Fail in Build Room
OpenAI and Anthropic finalized near-simultaneous joint ventures with major private equity firms to embed their engineers and models directly inside PE portfolio companies, representing a combined capital commitment of more than $5.5 billion. OpenAI’s vehicle, called The Deployment Company, raised over $4 billion from a 19-firm consortium led by TPG (valued at $10 billion pre-money) and offered investors a 17.5% guaranteed annual return floor over five years. Anthropic secured about $1.5 billion anchored by Blackstone, Hellman & Friedman and Goldman Sachs on ordinary equity terms. The deals adopt a Palantir-style “forward‑deployed engineers” playbook to wire AI into workflows rather than selling licenses, with Goldman’s involvement giving Anthropic immediate access to wealth-management, lending and insurance portfolios. Market implications include accelerated enterprise AI adoption, competitive pressure on incumbent enterprise software and consulting, and open questions about scalability, governance, and whether financial guarantee structures become a template.
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