Faire 10K€/mois dans l'IA sans compétences, c'est facile (c'est mathématique)

Achieving €10,000 per month with artificial intelligence (AI) is presented as much simpler than commonly believed, contrary to the widespread notion that it's a complicated goal involving sales funnels, Facebook ads, and daily content creation. This video aims to cut through the noise and focus on what truly generates this income, specifically addressing the daily work required, actions to take, number of clients needed, and necessary preparations. By the end, the viewer should understand the path to reaching €10,000 and how to implement the necessary steps. The speaker asserts that earning €10,000 per month in the AI agency sector is "literally easy" because it boils down to mathematics. The core purpose of the video is to perform these calculations together to determine the exact daily tasks required to hit the €10,000 mark. To begin the mathematical breakdown, the first figure considered is market size. In France, there are 4.5 million businesses, according to statistics from BPI and INSEE. This figure exclusively includes very small businesses (TPE) and small and medium-sized enterprises (PME), excluding large corporations. Next, the competitive landscape is assessed. While estimating the number of competitors is challenging due to the newness of the business, by counting referenced agencies, specialized freelancers, AI consultants, and unlisted small structures, the number of players ranges from 500 to 2,000. To maintain intellectual honesty, the higher end of 2,000 competitors will be used for calculations. This means there are 4.5 million potential buyers and 2,000 sellers. A comparison is drawn with the website sales business to provide context. The number of web agency players is 15,000, significantly higher than the 2,000 AI agency players. Both markets target the same 4.5 million businesses. However, the adoption rate differs greatly. A much higher percentage of businesses already have a website compared to those already using AI in their daily operations. Approximately 65% of businesses already have a website, leaving 1.6 million potential clients for a web agency. In contrast, only a smaller percentage of businesses currently use AI, leaving 3.3 million potential clients for an AI agency. If the 2,000 AI agencies were to equally divide the prospects, each agency would have access to 1,650 potential businesses to prospect and sell to without overlapping with competitors. This is a crucial number to remember. In comparison, a web agency would only have 107 prospects. Regarding average project value, a website typically sells for around €2,000, while a standard AI automation project for an AI agency is estimated at €3,000. AI agencies boast significantly higher profit margins, especially with the advent of tools like Cloud Code, which allows for comprehensive automation with a low monthly subscription, eliminating the need to share profits with a developer, as was sometimes the case for beginners. The speaker challenges the perception of market saturation by comparing AI agencies to other sectors. For instance, there are 11,000 hairdressers and 300 architect firms. The speaker questions whether people perceive architects as being "everywhere." This highlights that the perceived omnipresence of AI on social media feeds is an algorithmic bubble, not a reflection of the actual market. The AI agency market is presented as the least saturated in the French economy due to its novelty, though competition is expected to grow. The "mathematical funnel" for reaching €10,000 per month is then detailed, based on over three years of experience in AI and having supported over 250 individuals. Examples of clients achieving significant earnings (e.g., €28,000, €9,900, €17,000) are cited as evidence of the realism of these figures. Assuming an average project ticket of €3,000 and a goal of €10,000 per month, the required number of clients is four per month. While four clients at €3,000 each totals €12,000, the speaker acknowledges that prices can vary (e.g., €2,500 to €3,500), averaging out to the target. The daily work involved is then quantified. Sending 200 messages per month (via email or LinkedIn) is proposed. With an estimated 8% response rate, this yields 16 replies. Assuming 50% of responders agree to a meeting, this results in 8 scheduled appointments. Factoring in an 80% show-up rate, only 6 people will actually attend the meetings. With a conservative 20% closing rate, this means only one client is secured per month. This is insufficient to reach the four clients needed for €10,000. Therefore, the calculation is reversed to determine the required number of messages to secure four clients. To sign four clients with a 20% closing rate, 20 calls must be made. To achieve 20 calls with an 80% show-up rate, 25 appointments need to be scheduled. To get 25 appointments, assuming 50% of responses lead to an appointment, 50 responses are needed. Finally, to obtain 50 responses with an 8% response rate, 625 messages must be sent per month. Dividing 625 messages by the approximate number of working days in a month (21), this translates to 31 messages per day. This is estimated to take between 1 to 1.5 hours of work daily. The speaker dismisses this as a significant workload, contrasting it with more physically demanding jobs. Sending 31 messages per day only targets 0.23% of the available market, indicating substantial room for sustained activity over several years. In summary, to achieve €10,000 per month, four clients are needed, requiring 31 messages per day, which takes 1 to 1.5 hours of prospecting. This is based on pessimistic rates: a 20% closing rate (meaning only 2 out of 10 interested prospects sign) and an 8% response rate. These calculations assume no client recommendations, no content creation, no word-of-mouth, and no professional network influence—just direct messaging. The speaker then debunks three common myths: 1. **"It's saturated."** This is refuted by comparing the 2,000 AI agency players to 15,000 web agencies, 37,000 insurance brokers, and 110,000 hairdressers. The example of an 18-year-old earning €4,000 in 5 days selling landing pages in the more saturated web market further emphasizes this point. The perceived saturation is attributed to algorithmic bubbles on social media feeds. 2. **"It's complicated and requires too much work."** The 31 messages per day, 20 calls per month, and 4 closed deals for €10,000 are framed as simple arithmetic. The true "complication" lies in remaining a salaried employee for 40 years or dealing with rising living costs. 3. **"Businesses are already equipped with AI."** As an AI ambassador for the French government, the speaker has insider knowledge, stating that only 26% of TPE/PME use AI, and this often refers only to using tools like ChatGPT, not integrated automation or comprehensive systems. The speaker also highlights that the calculations are conservative. They do not account for the compounding effect of content creation (inbound marketing), which can lead to automatic client acquisition, as exemplified by a client signing a €3,000 annual deal from an automatically scheduled appointment. Nor do they consider client recommendations or repeat business/upsells, like a client securing an additional €11,400 sale from an existing client without new prospecting. The average ticket size was also conservatively estimated, with examples of single sales reaching €9,800. Finally, the high attrition rate among competitors is noted. While 2,000 competitors are considered the high estimate, many will not sustain their efforts beyond six months, further reducing actual competition. In conclusion, no other business in France currently offers this combination: a 3.3 million prospect market, fewer than 2,000 competitors, 95% profit margins, a minimum €3,000 average ticket, and natural recurring revenue from maintenance contracts. All these figures are based on deliberately low estimates, without any content creation or recommendations. The speaker suggests that with coaching, improved sales skills (e.g., closing rate from 20% to 30%), better copywriting (response rate from 8% to 12%), and content publication (30% of prospects coming automatically), earnings could easily double or triple (€20,000-€30,000) with less effort and more speed. The math is clear, the market exists, and the only missing variable is the individual's commitment.