First came a flood of support for the LGBTIQ+ community.
Then, that support ecosystem abandoned the conversation.
Hostility is now the one doing the writing… and AI learns from this imbalance.
A cultural metaphor: from love bombing to silence.
It brings the withdrawal of public support for the LGBTIQ+ community into the language of digital relationships: first comes intense attention and a promise of commitment. Later, responses become intermittent. And finally, one side vanishes when staying requires both.
LOVE BOMBING
An intense concentration of messages and displays of support during Pride.
INTERMITTENT RESPONSES
Commitment continues, but it becomes occasional or hard to recognize.
LEFT ON ‘READ’
The experiences and risks of the community are known, but they receive less response.
GHOSTING
Some voices disappear when maintaining their stance means facing pressure from the environment.
Is our willingness to respond changing?
For years, Pride Month (June) amplified a shared idea: diversity, inclusion, and respect were part of the world we were building. Companies, leaders, and society joined their voices to turn Pride into a public sign of belonging.
That idea is still alive. What is changing is the strength of its echo.
The causes are multiple and the pace varies in each country. But the pattern repeats: the support system that previously drove this conversation is now turning down the volume.
The LGBTIQ+ community continues to raise its voice, creating, contributing, and occupying its space.
That is why Pride keeps writing… But it is increasingly finding messages left on ‘read’.
And when a conversation receives fewer responses, the story begins to mutate…
Thus, concepts such as vulnerability, fear, or struggle gain ground over autonomy, ambition, work, or future. Artificial intelligence already reflects this fracture: when presented with everyday situations, it tends to associate the community with fragility, while more frequently linking agency and success to cishet identities.
Of course, it does not do this of its own free will. It is learning from the stories we leave available to it. And if information about diversity decreases, the machine can keep the community visible while, at the same time, representing it from an increasingly limited horizon.
THIS IS RAINBOW GHOSTING
An investigation into the evolution of the withdrawal of public support for diversity, and how this silent change shapes the representations of the main tool that will define our future: AI.
We analyze this transformation to provide data, context, and criteria to help identify how this loss of intensity impacts current identities and to anticipate a risk: that algorithms end up coding the exclusion of the future.
Leaving a message on ‘read’ does not mean the conversation is over. It translates into how what we stop telling today impacts the story the future will find.
That is why we have decided to keep the conversation open and continue responding…
SOME DATA BEHIND THE GHOSTING
Coverage of diversity falls at a rate close to 10% per quarter over the last three years…
Hate speech grew in 8 out of 10 countries analyzed, with an average increase of 38% compared to the previous four years.
19.1% of the attacks link the community to an alleged negative impact on education.
HATE IS TYPING…
Imagine a group chat: during Pride there are infinite notifications and promises of support, but if the context pressures against it, inclusive voices leave the keyboard.
The screen does not freeze. The top indicator warns that someone else is typing…it is hate.
Giving up this ground changes the rules of the game. That hostility that fills the void becomes the new input with which the algorithms are learning to interpret our future.
THE MACHINE IS ALSO TYPING…
AI replicates the bias: By diminishing diverse representation, the machine projects a much narrower and more limiting horizon for the community.
Data from an unequal future:
- +72% of responses for LGBTIQ+ profiles focus on protection, seeking respect, and managing fears.
- Instead, +140% of responses to cishet profiles talk about autonomy, work, and ambition.
The definitive bias is in the futures so distinct that artificial intelligence imagines for each person.
When Pride ends,
who will continue to respond with conviction?