Artificial intelligence has transformed from a research curiosity into an everyday tool faster than any technology in history. In just four years since ChatGPT went viral in autumn 2022, AI has reshaped how millions of people work, learn, and solve problems. The speed of this shift reveals something profound about our digitalized world: when software can be deployed with a single click, adoption accelerates dramatically.

Why Are AI Models Improving So Rapidly?

The progress of AI systems has been measurable and consistent. In 2023, GPT-4, the leading model at the time, scored 36% on GPQA, a benchmark designed to test doctoral-level scientific knowledge. Today, the best models are approaching 95% on the same test, pushing the benchmark to its limits as a measure of progress. This same pattern has appeared across coding and mathematics benchmarks, forcing researchers to constantly develop new evaluations to track improvement.

The industry has created specialized tests called benchmarks to measure AI capabilities. These tests reveal steady gains over time, with newer models consistently outperforming their predecessors. As models solve existing benchmarks, researchers design harder tests to identify remaining limitations. This cycle of improvement and challenge has become the standard way the AI industry tracks progress.

How Has Business Adoption of AI Changed the Market?

The shift from consumer curiosity to business necessity has been dramatic. According to payment data from Ramp, which processes transactions for tens of thousands of US companies, more than half of businesses already pay for AI services from at least one provider. The competitive landscape among AI companies has intensified, with spending patterns shifting as new models and pricing emerge.

Recent data shows the competition between major AI providers remains fluid. In July 2026, Ramp's figures showed 43.5% of businesses in its dataset paying for Anthropic products, compared with 39.7% for OpenAI. However, more recent third-quarter data indicated that OpenAI was growing faster than Anthropic among the businesses tracked by Ramp, suggesting momentum may be shifting. In Spain, the adoption pattern mirrors the US trend, with 20% of medium-sized companies and 58% of large companies using AI in 2025.

Beyond raw adoption numbers, OpenAI has been addressing practical friction points that determine whether tools actually get used in daily work. On August 28, 2026, OpenAI confirmed that ChatGPT and Codex now support linking multiple Gmail, Google Calendar, and Google Contacts accounts in one conversation, ending a year-old limitation that forced users to choose a single Google account.

"Users can now connect multiple Gmail and Google Calendar accounts to ChatGPT and Codex, with Google Contacts included in the same setup flow," stated Gabriel Chua, an OpenAI DX engineer.

Gabriel Chua, OpenAI DX Engineer

This update addresses a real problem that emerged from OpenAI's own forums. Users with both personal and work Gmail accounts, consultants managing multiple client calendars, and founders juggling different business identities had to disconnect and reconnect repeatedly or give up on having the assistant access the right context. The multi-account feature is now live on Plus, Pro, Business, and Enterprise plans, though workspace administrators can still restrict it.

Steps to Connect Multiple Google Accounts to ChatGPT

• Open Plugins: Access the Plugins section in ChatGPT's sidebar to find available integrations.
• Search and Select: Search for the connector you want to add, such as Gmail, Google Calendar, or Google Contacts.
• Add Account: Click the gear icon on the connector you've already linked, then select the option to add another Google account.
• Complete Authorization: Follow the standard Google authorization flow to grant ChatGPT access to your additional account.
• Verify Admin Settings: In managed workspaces, confirm that your administrator has enabled the app and approved the domain before connecting.

The practical difference is immediate. When ChatGPT can access multiple calendars, it can find a free hour across all of them. When it can search multiple inboxes, you don't have to run the same search twice looking for a receipt, flight booking, or customer thread.

What's Driving the Explosive Growth in AI Adoption?

Generative AI is likely the fastest-adopted mass technology in history. Personal computers took more than a decade to reach half of Americans. The internet took six years; the smartphone, five. Chatbots like ChatGPT or Gemini achieved the same milestone in just over two years. This speed reflects both the digitalized world we now inhabit and the frictionless nature of software distribution.

In Spain, 55% of internet users say they already use generative AI tools, according to the Spanish National Observatory for Telecommunications and the Information Society (ONTSI). This widespread adoption has created a competitive market where companies are willing to move spending between providers as new models, pricing, and data policies emerge.

The market dynamics reveal something important about how AI is being adopted. It's not just early adopters or tech enthusiasts anymore. Mainstream users, business professionals, and organizations across industries are integrating AI into their workflows. The shift from ChatGPT's novelty phase to its role as enterprise infrastructure has happened in parallel with the rise of competing services like Anthropic's Claude and Google's Gemini.

How Are AI Companies Valued, and What Does It Mean for the Industry?

The financial impact of AI's rise has been staggering. The world's five most valuable companies are all technology firms with major stakes in artificial intelligence: Nvidia, Apple, Alphabet, Microsoft, and Amazon. Since ChatGPT's launch in late 2022, Microsoft's market value has doubled, Amazon's has tripled, and Alphabet's has nearly quadrupled.

Nvidia's trajectory has been particularly dramatic. The company went from making graphics cards for video games to powering the computation behind AI models with hardware and software that are close to monopolistic. Since late 2022, its market value has increased fifteenfold. If you had invested $1,000 in Nvidia in January 2010, that stake would be worth more than $600,000 today.

The semiconductor supply chain has also enjoyed spectacular gains. Broadcom, which designs custom chips, is worth six times more than it was at the end of 2021. SK Hynix and Micron, which manufacture the memory used in AI chips, are worth 10 times more. Dutch company ASML, whose machines are essential to the production of advanced semiconductors, has seen its value double.

This stock market boom has naturally raised concerns about whether a bubble may be forming. Even when a technology proves transformative, the companies betting on it can still fail if they arrive too early or back the wrong approach. That is one of the key lessons of the dot-com bubble. However, tech giants have shown no sign of slowing their spending; combined capital expenditures by Amazon, Microsoft, Alphabet, and Meta have quadrupled since 2023.

What Are the Real-World Consequences of AI's Growth?

The expansion of AI has tangible physical costs. Training and running AI models requires vast data centers packed with millions of processors. According to the International Energy Agency, electricity consumption by data centers is expected to more than double by 2030, rising from 415 to 945 terawatt-hours and approaching 3% of global electricity demand. That would be more electricity than Japan consumes in an entire year.

Public sentiment about AI remains mixed. This spring, Ipsos surveyed thousands of people in around 30 countries, asking whether AI-powered products "excite" them and whether they "make them nervous." The results reveal a cultural divide. Although excitement and anxiety coexist in every country, anxiety tends to dominate in the West while excitement is more prevalent in Asia. Eighty-three percent of Chinese respondents and 79% of Indians say they are excited about AI, compared with 26% of Canadians.

The labor market impact remains uncertain. Questions about job automation, occupational change, and which workers will be most affected are still the subject of intense debate. However, one consequence is already clear: job postings that mention AI have multiplied across countries such as the United States, Germany, and the United Kingdom.

As AI continues to evolve and integrate into business workflows, the practical improvements like multi-account support matter as much as the headline-grabbing benchmark scores. The technology that seemed like a novelty in late 2022 has become infrastructure, and the companies building that infrastructure are now racing to make it work seamlessly with how people actually live and work.