The 12th Bloomberg CityLab Summit took place in Madrid in April 2026, providing a platform for the announcement of a new global initiative - the Mayors AI Forum.
Established by Bloomberg Philanthropies in partnership with Johns Hopkins University, the coalition brings together leaders from ten metropolitan areas - Bogotá, Boston, Buenos Aires, Kyiv, London, Madrid, Nairobi, San Antonio, San Francisco and Tokyo. The main goal is to allow mayors to directly influence how artificial intelligence is designed and implemented. The foundation does not want cities to be limited to being passive recipients of regulations imposed by corporations or governments at national levels.
There is currently tremendous enthusiasm about the economic potential of AI, estimated at a not inconsiderable $13 trillion by 2030. However, it is worth juxtaposing this with serious risks. Experts and mayors themselves openly acknowledge that the rapid growth of automation carries the risk of significant job losses and deepening inequality in local communities, as well as environmental burdens. Boston Mayor Michelle Wu stressed that local governments have a responsibility to create a protective framework for residents, while London Mayor Sadiq Khan pointed to the need to proactively manage technology so that it does not unilaterally shape the future of cities.
sometimes you have to shout
Despite optimistic announcements about helpful technologies, however, the Madrid summit exposed social tensions, particularly in the area of housing. Differences in approach to the housing crisis were evident even among the mayors themselves: the mayor of Madrid was betting on increasing housing supply and density, while the mayor of Barcelona was outright advocating limiting rent increases and extinguishing tourist apartment licenses.
As the innovations were debated at Teatro Real, families facing eviction protested in front of the building. A group representing 60 families in public housing accused Madrid authorities of ignoring their problems. The mayor of Madrid, confronting the demonstrators after they left the meeting, declared... unaware of the scale of the problem and promised to mediate with the department in charge of housing. The incident, juxtaposed with the bewilderment of residents passing by the delegates on their way out of Puerta del Sol, calls into question whether ambitious municipal strategies are capable of protecting the most vulnerable citizens from the effects of the city's transformation. There is no denying that the event highlighted the contrast between what the Board of Directors is ambitiously planning (as in the meme) and what is the day-to-day plight of the Areçons, that is - the residents. Discussions about housing also revealed different municipal strategies, from which we can draw some conclusions.
good intentions...
Thus, another challenge hampering optimistic visions of efficient management are bureaucratic realities and staff shortages in administrations. Data presented at the summit show a drastic difference in the efficiency of recruitment: in the private sector, the process takes an average of 35 days, in US local governments it takes as long as 130 days. The situation is exacerbated by the departure of qualified employees. Thus, in the face of the need to implement advanced AI systems, the ability of cities to quickly adapt new solutions is being called into question.
This is borne out by the findings of the report "State of Cities: Generative AI in Local Government," published on October 18, 2023, which already pointed to a deep gap between the declared willingness and actual operational capabilities of local governments. While as many as 96% (!) of surveyed mayors expressed interest in generative AI, only 2% of cities were actually implementing it, and the overwhelming majority remained at the stage of preliminary analysis or truncated testing. At the time, as many as 74% of entities cited insufficient technical expertise as the main barriers impeding progress, while 70% pointed to budget constraints, thus directly correlating with today's shortages of specialists in the public sector. The 2023 data also exposed gaps in staff preparation: only 11% of cities offered AI training to their employees, and only 13% had developed any guidelines for its use.
96% of mayors report interest in using artificial intelligence. However, just 9% of local governments report having formal AI policies in place to govern internal operations.
- National League of Cities (@leagueofcities) May 2, 2026
Addressing the gap between interest and readiness is a key reason why NLC created the AI & Emerging...
With such strong (and growing!) concerns about data security and privacy shared by more than 80% of cities surveyed, the vision of efficient, algorithm-based governance is more of a distant goal and dream than a near reality.
is this a good thing or a bad thing?
In conclusion, the Mayors AI Forum initiative has an extremely important goal: empowering mayors to directly influence the design and implementation of artificial intelligence, rather than leaving this space solely in the hands of corporations and governments. This subjectivity of cities is of utmost importance here, to ensure that technology serves the common good first and foremost. However, this process must not be based on uncritical techno-optimism. AI must be treated not as an end in itself, but as a means to build community, social equality and security for residents.
A realistic approach to digital transformation therefore requires something special - sensitivity to risks. Here, then, it is necessary to enumerate, probably in the first place, the phenomenon of "vendor lock-in," or dependence on a single supplier. This mechanism involves creating systems in such a way that it becomes impossible or extremely costly for a city to abandon the services of a particular technology company due to data incompatibility and lack of control over the source code. To avoid this pitfall, local administrations must strive for the transparency and standards needed to maintain sovereignty in city management.
Ethical as well as environmental challenges are other topics. When operating with artificial intelligence, one must contend with algorithmic problems - for example, biases built into AI systems that can exacerbate discrimination against marginalized groups. Then there are the growing environmental burdens - the huge energy and water demands necessary to operate the data centers that support advanced models.
The ultimate success of AI deployments in cities will therefore not be measured by the number of applications installed, but by the ability of local governments to balance innovation with climate responsibility and protection of their most vulnerable residents, such as the families facing eviction in Madrid mentioned here, or workers displaced by automation.
