Disruption or deceitful confidence, what’s the value of AI?

Artificial intelligence (AI) has firmly entered the boardrooms, sales teams, and bid management departments of UK organisations. From automating proposal generation to predicting win probabilities, AI promises faster processes, smarter decisions, and more consistent outcomes. But behind the promise lies a pressing question, is AI truly disruptive, or merely a new form of deceitful confidence dressed in code?

At Valence, we’re actively researching how AI is transforming the way UK businesses sell, compete, and win. Our current study explores the tangible and intangible impacts of AI across sales and bid management functions, examining not only efficiency gains but also how trust, human judgment, and competitive fairness are being reshaped.


AI as the Great Disruptor

For many organisations, AI-driven bidding tools represent a revolution in speed and insight. Machine learning models can analyse years of bid data, identify patterns behind past wins, and recommend strategies that would have taken human analysts days to produce. Proposal teams can now use generative AI to draft tailored responses in minutes, freeing up time for more strategic thinking.

Early adopters report improved bid quality and reduced turnaround times. In sectors such as infrastructure, defence, and professional services, where competitive tendering defines success, these advantages are proving game-changing.


The Illusion of Confidence

However, disruption often comes with distortion. AI systems, while persuasive in presentation, can generate outputs that sound confident but lack contextual understanding. A perfectly phrased executive summary doesn’t always align with a client’s nuanced requirements or unspoken priorities.

Moreover, reliance on AI-generated insights risks creating a false sense of certainty, a belief that because a model is data-driven, it must be right. In bidding, where reputation, compliance, and empathy still win contracts, misplaced confidence can be costly.


Ethics, Bias, and the Human Element

Our research also delves into the ethical dimensions of AI use in bids. How transparent should AI’s role be when shaping proposals? Who is accountable if a model’s recommendation introduces bias or misrepresentation?

While automation can enhance fairness by reducing human error, it can also perpetuate bias embedded in historical data, subtly reinforcing inequities in procurement outcomes. The human touch remains essential: judgment, empathy, and integrity cannot be fully automated.


What Valence Is Investigating

At Valence, our research combines qualitative interviews with bid professionals, data analysis of sales outcomes, and experimental trials using emerging AI tools. We’re asking critical questions:

  • How does AI affect decision-making confidence in bid teams?

  • What measurable ROI do organisations see from AI-enabled bidding?

  • How do clients perceive AI-generated submissions compared to human-led ones?

  • Where does the balance lie between speed and sincerity?

Our aim is not to declare AI “good” or “bad,” but to illuminate its real value, helping businesses adopt technology with clarity, integrity, and measurable impact.


Looking Ahead

AI’s role in bidding is inevitable, but its value depends on how it’s applied. Used thoughtfully, it can empower teams to focus on strategy and relationships. Used recklessly, it risks eroding the trust that underpins every successful bid.

As the UK continues to embrace AI across commercial and public sectors, understanding where disruption ends and deceitful confidence begins will define the next generation of competitive advantage.


Valence is researching the impacts of AI across business development, sales, and bid management processes in the UK.
To learn more or take part in our ongoing study, contact our research team at [email protected].

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