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This paper builds on the concept of the "socio‐ecological fix" to emphasise the contradictions inherent in seeking to produce nature through such fixes for insecure petty commodity producers who occupy the class place of both labour and capital. I explore how petty commodity producer households cultivating tobacco in western Tamil Nadu, South India, are reworking labour practices in managing erratic rainfall and groundwater depletion. Agriculture in Tamil Nadu is in decline, and dominated by small and marginal farming households that oscillate between agrarian production and waged work to make ends meet. These unstable petty commodity producer households have historically accumulated in western Tamil Nadu, through labour exploitation and the appropriation of groundwater, in order to transition to petty industry. However the long‐term decline of the region's aquifers highlights the limits of such over‐exploitation. The paper makes two contributions in exploring how petty commodity producer households are remaking space to move beyond agrarian accumulation. First, the paper highlights the biophysical limits of seeking to produce nature through socio‐ecological fixes, therefore acknowledging the mercurial as well as produced aspects of nature as a form of space. Second, in adjusting to such biophysical limits on productive capacity, the paper highlights how petty commodity producer households enact forms of resilience and reworking in decreasing their reliance on waged workers and remaking agrarian landscapes to demand less labour, tending away from accumulation and towards salaried jobs. Overall, the paper looks to explore how petty commodity producers, which constitute a norm in Global South agrarian settings, offer new paths for thinking about forms of class‐entangled geographical space‐making in understanding trajectories of socio‐ecological accumulation. First, the paper highlights the biophysical limits of seeking to produce nature through socio‐ecological fixes, therefore acknowledging the mercurial as well as produced aspects of nature as a form of space. Second, in adjusting to such biophysical limits on productive capacity, the paper highlights how petty commodity producing households enact forms of resilience and reworking as spatial agents, tending away from accumulation and towards salaried jobs. Overall, the paper looks to explore how petty commodity producers, who constitute a norm in Global South agrarian settings, offer new paths for thinking about forms of geographical resistance in understanding trajectories of socio‐ecological accumulation. [ABSTRACT FROM AUTHOR]

Artificial intelligence is being reconfigured as a set of technologies that can address poverty with precision. The impacts of AI will both exacerbate and ameliorate the conditions of uneven development. Recent debates focus on the disruptive effects of AI, particularly to replication of development trajectories that have had success in reducing poverty. In this paper we further these debates by analysing the backroads of AI. The backroads serve as a metaphor for understanding the ways AI will travel from the sites of incubation to the frontlines of uneven development. We explore dialogues between AI and development in two arenas: the World Bank's Development Impact Evaluation initiative (DIME) and the Government of India's national AI strategy, #AIforAll. We argue that both these arenas serve as hubs from which AI will travel out along the backroads to remote, poor, and fragmented polities. While the World Bank utilises AI as technology to empower experts and mobilise a techno‐political authority, what we refer to as precision AI, India seeks to function as a second‐tier AI hub, making AI cheaper and more accessible domestically and for other developing countries, what we refer to as populist AI. We conclude by discussing the interrelations of precision and populist AI along the backroads, and the potential of backroads research for mapping AI, uneven geographies of development and technology and the impacts of AI's disruptions at different scales. Artificial intelligence is being reconfigured as a set of technologies that can address poverty with precision. We further these debates by analysing the backroads of AI in two arenas: the World Bank's Development Impact Evaluation initiative (DIME) and the Government of India's national AI strategy #AIforAll. While the World Bank utilises AI as technology to empower experts and mobilise a techno‐political authority, what we refer to as precision AI, India seeks to function as a second‐tier AI hub, making AI cheaper and more accessible domestically and for other developing countries, what we refer to as populist AI. [ABSTRACT FROM AUTHOR]