Frieze Week: How did the art market respond to London's most awaited week?

Exactly twenty years ago the Frieze art fair was born, conceived by the founders of the magazine of the same name with the ambitious aim of creating a platform of excellence for contemporary art that could bring together galleries, artists and collectors from every corner of the globe. The first chapter of this adventure took place in Regent's Park, in 2003, where it still resides today, and immediately established itself as an extraordinary success.

Characterised by a rigorous selection of participating galleries, the Frieze Fair has played a crucial role in consolidating London as a global hub for contemporary art. The importance of this event naturally led to a concentration of other major art events such as exhibition openings and exhibition spaces, high-calibre art events and auctions organised by the major houses.

This has given rise to a microcosm known as "Frieze Week," which serves as a faithful mirror of the health of the contemporary art market, offering an extraordinary overview of trends and market trends at a precise moment in time.

Given this premise, it is therefore easy to understand how important it is to observe the sales performance of the fair and also the auctions held at the same time as it.

Also driven by a weak pound sterling, sales at the fair were satisfactory, according to the participating galleries. Some of them even sold out their works before the public opening, as in the case of the Massimo de Carlo Gallery and Marianne Boesky. The latter chose to keep the prices of works at an affordable level, leaving the works on offer within the reach of institutions and thus encouraging young artists to enter museums.

It was not only a search for new names, however, at Frieze 2023; there was in fact a significant presence of older living artists, such as the 91-year-old Joan Sammel or the 81-year-old Sylvia Snowden just to name two. With this strategy, galleries are trying to acquire works by established but undervalued and little-known artists, unlike six months or a year ago when the focus was all on young artists. This reflects a change in the thinking of collectors, who are finally recognising that younger artists do not have the exclusivity of revolutionary thinking and radical risk-taking.

Nevertheless, it is worth noting that sales during Frieze Week were lower than the previous edition, as well as a decidedly slower pace that permeated the dynamics of the fair.

A quiet pace was also evident in the auctions of the major auction houses. In the case of Christie's, after a promising start with the work of Salvo "Il giorno fu pieno di lampi la sera verranno le stelle" (1991), which sold for £550,000 against an estimate of £80/120,000, the pace slowed considerably. Despite some sales above estimates, a cautious attitude was evident during the 20th and 21st Century auction on 13 October, with some works by artists such as Basquiat, Kusama and Warhol remaining unsold.

However, the second auction, focusing on Sam Josefowitz's collection, significantly exceeded estimates, contributing to a positive result with a total of £42.3 million.

Instead, Sotheby's conducted two auctions on Thursday 12 with the first, 'The Now', devoted to ultra-contemporary art and comprising 21 lots, followed by an evening sale of 21 lots of Contemporary art. While the first auction slightly exceeded expectations, the second one was decidedly weak.

In the first auction, several works exceeded initial estimates, including records for artists such as Lynette Yiadome-Boakye, whose work 'Six Birds in the Bush' sold for £2.95 million. Overall, the 21 lots just surpassed the pre-sale target, which ranged between £9.3m and £13.6m, realising a total of £15.5m including commission.

However, the situation changed quickly with the second auction, which opened uncertainly due to some last-minute withdrawals, which led to a revision of the pre-auction estimates shortly before the start, from a high of £63.3 million to a revised estimate of £39.9-57.9 million.

The most critical moment was the failure of the main lot, the work 'Abstraktes Bild' (1986) by Gerhard Richter, which had the highest estimate of the evening: between £16 and £24 million and no guarantee. In spite of the auctioneer's invitation to bid, the auction stopped at £14.5 million. This greatly affected the sale total, which ended at £30.1 million, well below the target.

From the data collected, a worrying picture clearly emerges when comparing the current state of the market with that of the previous year. Taking Phillips' results into account, and even though around 80% of the proposed works have been sold, there is still an 18% drop in the collective value of artworks: from £232m in 2022 to £192m in 2023, a figure on par with 2016 levels.

It is clear that the art market in London seems to have retreated to where it was at the time of the Brexit vote.

While the competition for art market dominance between London and Paris remains open, it is inevitable to wonder whether London will be able to regain its positive momentum before the next Frieze Week. In the meantime, the art world is starting to set its sights on Paris+ par Art Basel in anticipation of a new chapter. 

Artificial intelligence opens up new avenues in the art market

Artificial intelligence (AI) is proving to have a significant impact in many industries and sectors, and in this the art market is no exception. The use of AI in the art context is opening up new avenues and opportunities for artists and buyers alike.

One of the main ways in which AI is entering the art market is through automated art creation. Image generation algorithms and neural networks can be trained to create original works of art, ranging from painting to sculpture, music and poetry. These generative works can be sold as digital artworks or printed on physical media. This opens the door to new 'algorithmic' artists and raises questions about the concept of authorship and originality. AI can also analyse large amounts of visual data and detect patterns and trends that can inspire artists in the creation of their works. Furthermore, neural networks can learn the distinctive features of a specific artistic style and generate new works that imitate that particular style. For example, AI can be trained on works by famous artists such as Van Gogh or Picasso and then create original paintings that appear to have been created by these masters. This ability to generate artistic works 'in style' raises important questions about the concept of originality and authenticity in art. AI does not just replace artists, but can also work in synergy with them. Some artists use AI as a tool to interact with, creating collaborative artworks. For example, an artist can provide visual or conceptual input to a machine learning algorithm and then process and transform the AI-generated outputs into final artworks. This type of hybrid collaboration between humans and machines opens up new avenues of exploration and encourages reflection on the role of the artist in the digital age.

AI can also transform the experience of viewing works of art. Thanks to virtual and augmented reality, viewers can immerse themselves in interactive virtual artworks and explore digital environments created by algorithms. This offers a new dimension to the art experience, allowing the audience to interact directly with the artwork and personalise it according to their preferences. Furthermore, AI can be used to provide additional information and context to artworks, enriching viewers' understanding and interpretation.

Instead, coming to the focus of this article, and deliberately leaving out the ethical aspects of the issue, we can state that artificial intelligence can also influence the system of valuing and selling works of art. Data analysis algorithms can be used to extract information on market trends, the value of works and the identification of potential art investments. In addition, AI can facilitate the management of art collections, helping curators to organise and catalogue works as well as to make suggestions and connections between similar artists and styles.

In spite of this, there are currently obvious gaps on ChatGPT on the subject, so much so that when we tested it on the price trend of Picasso's works, we got this response:

"As a language model, I do not have access to real-time data or the latest information on the market trend of Picasso's artworks. The art market is a complex and ever-changing environment, influenced by a number of factors [...] However, in order to have an accurate view of the current market trends of Picasso's artworks and their valuations, it is necessary to refer to specialised reports, consult industry experts and monitor updates in the contemporary art market."

We can therefore conclude by noting how the AI does not feel safe in this particular area and therefore uses its intelligence to suggest that a professional should be consulted.

Photo: Ars Electronica / Birgit Cakir