Give Me Something Real: bibliography.
The following are the data points and sources that are quoted in the whitepaper:
50%+ of CEOs cite a missing link between AI and P&L, but only 14% clearly define P&L impact for all AI initiatives. (Boston Consulting Group. (2026b, July 22). Nearly nine in ten CEOs see some cost or revenue benefits from AI in targeted areas, but most are struggling to scale it.)
42% of CEOs say their companies are ‘stuck’, unable to unlock revenue or cost wins from AI. (PwC. (2026). PwC’s 29th Global CEO Survey: Leading through uncertainty in the age of AI.)
60% of CEOs think boards are too impatient with the pace of AI transformation. (Boston Consulting Group. (2026a, May 4). CEOs and boards are aligned on AI in theory, but divided in practice.)
29% of employees admit to actively sabotaging their company’s AI strategy. (WRITER & Workplace Intelligence. (2026). AI adoption in the enterprise: How to overcome adoption hurdles, reduce risk, and turn AI ambition into enterprise impact.)
Nearly two-thirds (63%) of AI users sometimes choose not to use AI tools in their role, even when available. (Henley Business School. (2026). Hype versus reality: A 12 month AI pulse check.)
45% of knowledge workers think their leaders view AI as a magic switch. (Atlassian. (2026, July 7). Why individual AI speed isn’t delivering the ROI CIOs expected. Inside Atlassian.)
“After such a sustained period of uncertainty… every new initiative is landing in a workforce wired to expect risk. Talk of ‘strategic change’ or ‘reimagining the future’ often reads as code for more disruption, more instability.” (Cardoz, J., & Haywood, O. (2025). Mobilising generation numb: Why high-performing brands are rethinking people enablement. Sponge.)
56% of CEOs say their companies have seen neither higher revenue nor lower costs from AI in the past 12 months. (PwC. (2026). PwC’s 29th Global CEO Survey: Leading through uncertainty in the age of AI.)
“The word priority came into the English language in the 1400s. It was singular. It meant the very first or prior thing. It stayed singular for the next five hundred years.” (McKeown, G. (2014). Essentialism: The disciplined pursuit of less. Crown Business.)
The average employee experiences four times as many organisational changes as they did eight years ago. (Gartner. (2024, October 28). Gartner ReimagineHR Conference, Orlando: Day 1 highlights.)
Only 42% of employees say they know how to identify opportunities for AI to improve their work. (Gartner. (2025). Gartner survey shows 88% of HR leaders say their organizations have not realized significant business value from AI tools.)
Full bibliography:
Atlassian. (2026, July 7). Why individual AI speed isn’t delivering the ROI CIOs expected. Inside Atlassian.
Boston Consulting Group. (2026a, May 4). CEOs and boards are aligned on AI in theory, but divided in practice.
Boston Consulting Group. (2026b, July 22). Nearly nine in ten CEOs see some cost or revenue benefits from AI in targeted areas, but most are struggling to scale it.
Cardoz, J., & Haywood, O. (2025). Mobilising generation numb: Why high-performing brands are rethinking people enablement. Sponge.
Cardoz, J. (2026). Give me something real: Why AI adoption isn’t working and what you can do about it. Sponge.
Deloitte. (2025). Scaling generative AI: 13 elements for sustainable growth and value.
Gartner. (2024, October 28). Gartner ReimagineHR Conference, Orlando: Day 1 highlights.
Gartner. (2025). Gartner survey shows 88% of HR leaders say their organizations have not realized significant business value from AI tools.
Gross, G. (2026, April 24). CIOs struggle to find clarity in their organizations’ AI strategies. CIO.
Henley Business School. (2026). Hype versus reality: A 12 month AI pulse check.
Maor, D., Lamarre, E., & Smaje, K. (2025). Building the AI muscle of your business leaders. McKinsey & Company.
McKeown, G. (2014). Essentialism: The disciplined pursuit of less. Crown Business.
McKinsey & Company. (2025). Five lessons on tech transformation from leaders who have done it themselves.
McKinsey & Company. (2026). Building the AI-powered organization.
PwC. (2026). PwC’s 29th Global CEO Survey: Leading through uncertainty in the age of AI.
Singla, A., Sukharevsky, A., Hall, B., Yee, L., Chui, M., & Balakrishnan, T. (2025). The state of AI in 2025: Agents, innovation, and transformation. McKinsey & Company.
Tinkoff, D., Van der Veken, L., Chui, M., & Balakrishnan, T. (2026). The state of AI in 2026: On the road to ROI. McKinsey & Company.
WRITER & Workplace Intelligence. (2026). AI adoption in the enterprise: How to overcome adoption hurdles, reduce risk, and turn AI ambition into enterprise impact.