AI with Values, Purpose, Wisdom

Fear of Missing out (FOMO) does not create an effective strategy. Action without Purpose is thoughtless. Purpose without Values is dangerous. Values without Purpose is directionless. An alternative to FOMO is needed ...

Most AI messaging runs on FOMO, the fear of missing out: adopt now or fall behind. The framework below offers a counterweight. A list of ten alternative 'fears', each one a significant risk that needs to be minimised. Each fear is clearly articulated, with an anchor line to remember it by, and resolved through governance. The aim is not to slow adoption. Quite the reverse. It is to adopt deliberately and to ensure wisdom, accountability, and a human-centric approach is central to all decision-making. World class organisations take great care in making purposeful decisions so they can scale successfully, effectively, and quickly. No other way will create sustained success - and with AI the risk of getting things wrong could not be greater. We need to move away from 'FOMO' and avoid a 'FLOP' (Fear Lack of Purpose).

The framework at a glance

Three groups of risks each answer one question.

• Technology: Can we trust what it does?
• Organisation: Who owns it, and what can we lose?
• Values & Purpose: Will this create a successful, sustainable and flourishing future for people and planet?

Group 1: Technology

1. FOOT: Fear Of Overhyped Technology

Anchor: The shiny object.

The risk: Adopting a tool because everyone else is, or because a vendor promised transformation, rather than because it solves a defined problem.

Governance practice: Require a written use case, a measurable outcome and a pilot with success criteria before any tool is approved for wider rollout.

Question to ask: What problem are we solving, and how will we know it worked?

2. FOOL: Fear Of Opaque Logic

Anchor: The black box.

The risk: Relying on outputs that nobody can explain, challenge or audit. Explainability is also a growing regulatory expectation.

Governance practice: Set an explainability standard for each use case, proportionate to its impact. Higher-stakes decisions need documented reasoning, and some should not be automated.

Question to ask: Could we explain this decision to the person it affects, and to a regulator?

3. FORM: Fear Of Reality Misunderstood

Anchor: The real world.

The risk: Relying on information that does not reflect the real world or how an organisation actually works.

Governance practice: Front-line staff involvement a pre-requisite. Go to the Gemba. Listen, learn, evidence. Communicate, collaborate, innovate, co-create. Test, learn, adjust, scale.

Question to ask: Have we identified the real problem? Have we considered all options? Have we minimised unintended consequences?

Group 2: Organisation

4. FOUL: Fear Of Unaccounted Liabilities

Anchor: Who's holding the bag?

The risk: AI-assisted decisions that nobody clearly owns, leaving legal, financial and reputational exposure with no responsible owner.

Governance practice: Name a responsible owner for every AI-assisted process, and keep a register of AI use, its owners and its risk level.

Question to ask: Have we openly identified all risks? Have we minimised all risks? Have we collectively signed off all risks?

5. FOIL: Fear Of Irreversible Loss

Anchor: No undo button.

The risk: Losing assets and decisions that cannot be recovered: data deleted or leaked, commitments made at machine speed, processes dismantled before the replacement is proven.

Governance practice: Build in rollback plans, keep manual fallbacks, and stage automation so that every step can be reversed until it has earned trust. Strategic partnerships. Ensure resilience.

Question to ask: If we had to undo this next month, could we? Are all irreversible decisions/actions being taken very carefully?

6. FOWL: Fear Of Wisdom Loss

Anchor: The wise owl.

The risk: Losing skills and judgment: experienced people leave, newer staff never build expertise, and the organisation forgets how to do the work without the tool.

Governance practice: Build/maintain expert knowledge, keep humans practising core skills, and give junior staff routes to learn the craft rather than only supervise the output.

Question to ask: If the system disappeared tomorrow, could our people still do this well?

7. FOMM: Fear Of Making Mistakes

Anchor: Fail to try, Fail to learn.

The risk: Quiet quitting. Loss of innovation, failure to learn, and inability to continuously improve.

Governance practice: Continuous improvement is part of all our work, we challenge ourselves every day. We ask ourselves hard questions, we are relentless in seeking answers. We design carefully, and minimise any unintended consequences. We push the boundaries of what's possible, and we always learn. We celebrate learning, not just success.

Question to ask: Are we failing to try? Are we failing to learn? Are we too conservative in our ambition?

Group 3: Values and Purpose

8. FOLK: Fear Of Lost Kindness

Anchor: The respectful human

The risk: Empathy, care, dignity, and human connection quietly stripped from how the organisation serves customers and treats colleagues.

Governance practice: Define the moments where human contact is non-negotiable, and measure the quality of relationships as well as speed and cost. Design for meaningful work. Front-line staff take responsibilty for improving the work.

Question to ask: Where would a person want a person, and have we protected that? Are we treating all people with respect? Are we listening twice as much as we talk (two ears, one mouth)?

9. FOLE: Fear Of Low Engagement

Anchor: The Engaged Collective

The risk: People become increasingly disengaged. People stay quiet rather than respectfully challenge. Collective intelligence is stifled, curiosity is lost, and the greatest ideas never found.

Governance practice: Engagement of staff and customers is key priority. Continuous improvement is a collective responsibility. We collectively challenge ourselves, and are respectful, curious, and never satisfied.

Question to ask: Are all people motivated and engaged? Are we all continuously learning? Do leaders speak last?

10. FLOP: Fear Lack of Purpose

Anchor: The purpose test.

The risk: AI adoption that delivers efficiency but leaves people, teams and customers no better off, or worse off.

Governance practice: Purposefully engage with customers, identify purpose and challenges/opportunities seeking to address. Track impact, outcomes, wellbeing, capability. Test, learn, improve, grow.

Question to ask: Are all stakeholders thriving, or are we just making things cheaper and faster? Are we creating a successful, sustainable flourishing future?

Values without Purpose is directionless. Purpose without Values is dangerous. Both are needed. AI with Values (AI-V™) and AI with Purpose (AI-P™) will play an increasing role in humanity's future. Together (AI-VP™) they will carefully, respectfully, sustainably, and purposefully improve innovation, collaboration, decision-making, and increasingly automate voluminous, mundane, repetitive tasks in order for humankind to purposefully pursue more meaningful human-centric work/activities we collectively would like to see more of, e.g. as Ikea recently did in freeing up 8,500 call-centre staff to further support customers in finding personalised solutions to their housing needs. Customers loved it, staff loved it, and it boosted revenues by over $1.4Bn at the same time too. Reducing staff normally involves erroneously viewing staff as a cost, rather than the source of innovation and value. It also demonstrates a lack of vision/understanding of how to use AI to super-power growth, and creates a negative race to the bottom for those who choose that path. We need to move away from 'FOMO' and avoid a 'FLOP' (Fear Lack of Purpose™).