Spotify will begin marking artist profiles that represent AI-generated identities with an AI Persona badge in mid-September. The label will appear on profile banners and About sections, in search results and beside tracks in playlists. Artists can disclose their synthetic identity through Spotify for Artists, but the company will also review names and profile images and apply the badge itself. A labeled artist can appeal that decision. The badge concerns the public identity presented by the profile. Spotify's separate AI Credits field covers how generative tools were used to make the music. By default, AI Persona profiles will be excluded from editorial and algorithmic recommendations. Their tracks can reach a listener who follows the profile or deliberately searches for it.

The policy creates a class of performer whose recordings can remain available while ordinary circulation is restricted because the face and biography do not belong to a person. That distinction responds to projects such as The Velvet Sundown, an AI band presented as human that accumulated millions of streams. It also gives Spotify authority to decide whether a photorealistic portrait, name and public history amount to an authentic artist. A label may protect listeners from impersonation, yet the decisive action occurs inside the recommendation system. The profile stays searchable while disappearing from Discover Weekly, editorial playlists and other automated routes unless a listener has already chosen to follow it.

South Korean lawmaker Lee Hae-min introduced a three-bill package on August 14 that would make companies contribute to a public fund when AI or automation significantly reduces employment or replaces work. Democratic Party lawmaker Lee Ju-hee joined as co-sponsor. The proposed AI Transition Basic Society Act would use the money for retraining, job changes, reemployment and minimum-income support. Regions hit by concentrated disruption could become transition zones. Employers would have to prepare retraining and role-change plans and, when workforce changes pass a set scale, notify workers and consult them in advance. Companies maintaining employment or adding jobs could receive reductions, exemptions or tax support. The levy rate and operational thresholds remain unsettled, and the bills must pass the National Assembly.

The proposal gives automation a payer. Companies often describe job cuts as an inevitable consequence of software, allowing responsibility to drift toward the vendor, the market or the future. This package keeps the account with the employer that reorganizes its workforce and receives the productivity gain. Attribution will remain difficult because demand can fall, departments can merge and managers can invoke AI before a system performs the work. A levy therefore depends on records connecting a deployment to eliminated roles. South Korea's proposal places that argument before workers are dismissed by requiring notice and consultation. If adopted, an automation plan would have to include the cost of the people it removes from the payroll.

IIT Dharwad has opened applications for a free one-year Artificial Intelligence Technocrat program under India's PM VIKAS scheme. The training is aimed at graduates aged 18 to 45 from six notified minority communities: Muslims, Christians, Sikhs, Buddhists, Jains and Parsis. Up to 15 percent of places may go to economically weaker applicants outside those communities, while 33 percent are reserved for women. Selected students receive training, certification, hostel access where applicable and a monthly stipend of Rs 1,000 paid directly by the Ministry of Minority Affairs. Candidates must submit identity, education, bank and community documents and pass a screening process. Applications close August 31.

The program treats access to AI as a matter of social policy rather than personal consumption. A chatbot account can make the technology appear universally available, yet the jobs surrounding it still require time, instruction, housing, credentials and enough income to remain in training for a year. The stipend is modest, but its presence admits that learning has a cost borne unevenly by students. The reservation rules place religious identity, gender and household income inside a technical classroom often described through merit alone. IIT Dharwad is therefore building a small public route into an industry dominated by private capital and expensive education. Its success will be measured after the course, when graduates need placements that convert a certificate and twelve monthly payments into durable work.